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Carnegie Mellon University

Software Engineering Institute

RAND

Onsite

Hybrid

SEI advances software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia, defense and government organizations, and industry to continually improve software-intensive systems. We deliver innovative technologies and solutions, collaborate on research in cybersecurity and artificial intelligence systems, and transition maturing technologies into practice.  Joining the SEI means becoming part of a world-class organization at the forefront of software engineering innovation. Our work has a profound impact on software systems across both government and industry. You&#39;ll collaborate with leading experts and work with cutting-edge technologies to tackle some of the nation&#39;s most complex and critical challenges. Position Summary:  SEI is seeking an enthusiastic experienced real-time embedded engineer to work on safety-critical embedded software. You will work closely with a variety of software and hardware systems including bare-metal embedded systems, RTOSes, FPGAs, and embedded Linux. You will have opportunities to develop tools, techniques, and processes to solve some of the most difficult software problems that our government faces. Who you are: <ul><li>You have a BS in Computer Science, Electrical Engineering, or related disciple with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR a PhD in the same fields with two (2) years of experience.</li><li>You’ve worked in a collaborative team environment as a software developer, software engineer, verification engineer, or related field. </li></ul><ul><li>You have proficiency in one or more of the following: C, C&#43;&#43;, VHDL, Verilog, Python, C#. </li></ul><ul><li>You’ve built, analyzed, debugged, and/or tested bare-metal systems and are familiar with a CMSIS/HAL/specific peripheral driver. </li></ul><ul><li>You have experience in one or more of the following: Java, Go, Rust, Ada, MATLAB. </li></ul><ul><li>You have experience with FPGAs and/or heterogenous computing boards that require communication and synchronization between specialized hardware/chips. </li></ul><ul><li>You have exposure with modern RTOSes, e.g. VxWorks or Integrity, and developed and analyzed embedded software. </li></ul><ul><li>You have worked with common embedded interfaces and protocols: I2C, CAN, SPI, RS-232, RS-422, etc.  </li></ul><ul><li>You’ve developed embedded software and performance tests and have experience interpreting the results. </li></ul><ul><li>You have an understanding of the Department of War (DoW) Systems Engineering lifecycle. </li></ul><ul><li>You have strong communication skills and the ability to convey difficult engineering or technical challenges to stakeholders. </li></ul><ul><li>You are willing to work 100% of your week onsite at either the SEI or customer facility. </li></ul><ul><li>You can pass a background check and obtain and maintain an active Department of War (DoW) security clearance. </li></ul><ul><li>You have a willingness to travel (25%) outside of your office location to other SEI offices, sponsor sites, conferences, and offsite meetings. </li></ul>What you’ll do: <ul><li>Understand complex, inter-dependent systems that hit multiple abstraction levels for embedded systems, interacting across a number of system interfaces. </li></ul><ul><li>Design and develop embedded software tools and capabilities to analyze, test, and evaluate existing software. </li></ul><ul><li>Apply systems engineering knowledge to identify and communicate weaknesses and flawed implementations of embedded functionality tracing from requirements. </li></ul><ul><li>Utilize static analysis, dynamic testing, and complexity analysis tools to uncover software weaknesses, security vulnerabilities, and instances of poor engineering judgment, guiding a high-impact, safety-critical system toward robustness, reliability, and engineering soundness. </li></ul><ul><li>Conduct research, experimentation, and present knowledge-sharing initiatives to enhance software development processes, demonstrate analytical capabilities, and foster a comprehensive understanding of system-of-systems (SoS) integration and performance. </li></ul>What we offer you Our benefits philosophy encompasses three driving priorities: choice, control, and well-being. Through Carnegie Mellon University, SEI offers a wide range of competitive employee benefits, including comprehensive health insurance, tuition benefits, generous time off, and a robust retirement savings policy to name a few. <ul><li>Join a world-class organization that has a significant impact on software. </li></ul><ul><li>Work with cutting edge technologies and experts to solve tough problems for the government and the nation. </li></ul><ul><li>Publish your research, attend or present at prestigious events, and enjoy annual professional development opportunities. </li></ul><ul><li>Get an 8% monthly contribution for your retirement plan without having to contribute to it yourself. </li></ul><ul><li>Get tuition benefits to attend classes at Carnegie Mellon University for you and your dependent children. </li></ul><ul><li>Get access to university resources, including campus fitness facilities, mindfulness programs, childcare, free transportation on the Port Authority Transit System, and more. </li></ul><ul><li>Enjoy paid parental and military leave. </li></ul><ul><li>Work in the heart of Oakland, a few blocks from Carnegie Mellon University and the University of Pittsburgh. </li></ul><ul><li>Qualify for relocation assistance and so much more.  </li></ul>  Joining the CMU team opens the door to an array of exceptional benefits.<a href="https://www.cmu.edu/hr/benefits/eligibility/index.html" target="_blank">Benefits eligible</a> employees enjoy a wide array of benefits including <a href="https://www.cmu.edu/hr/benefits/health-welfare/index.html" target="_blank">comprehensive medical, prescription, dental, and vision insurance</a> as well as a generous <a href="https://www.cmu.edu/hr/benefits/retirement-savings/index.html" target="_blank">retirement savings program</a> with employer contributions. Unlock your potential with <a href="https://www.cmu.edu/hr/benefits/tuition/index.html" target="_blank">tuition benefits</a>, take well-deserved breaks with ample <a href="https://www.cmu.edu/hr/benefits/time-away/pto.html" target="_blank">paid time off</a> and observed <a href="https://www.cmu.edu/hr/benefits/time-away/holidays.html" target="_blank">holidays</a>, and rest easy with life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to our <a href="https://www.cmu.edu/hr/work-life/support/family-child-care-resources/index.html" target="_blank">Family Concierge Team</a> to help navigate childcare needs, <a href="https://athletics.cmu.edu/recreation/facilities" target="_blank">fitness center access</a>, and much more!For a comprehensive overview of the benefits available, explore our <a href="https://www.cmu.edu/hr/benefits/index.html" target="_blank">Benefits page</a>.At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.Are you interested in an exciting opportunity with an exceptional organization?! Apply today!LocationPittsburgh, PAJob FunctionSoftware/Applications Development/EngineeringPosition TypeStaff – RegularFull Time/Part timeFull timePay BasisSalaryMore Information: <div><div><div><div><ul><li>Please visit “<a href="http://www.cmu.edu/jobs/why-cmu/index.html" target="_blank">Why Carnegie Mellon</a>” to learn more about becoming part of an institution inspiring innovations that change the world. </li><li>Click <a href="https://www.cmu.edu/jobs/benefits-at-a-glance/" target="_blank">here</a> to view a listing of employee benefits</li><li>Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. </li><li><a href="https://www.cmu.edu/policies/administrative-and-governance/statement-of-assurance.html" target="_blank">Statement of Assurance</a></li></ul></div></div></div></div>

Real-Time Embedded Software Engineer

BS in CS or EE with 8+ years experience; or MS with 5+; or PhD with 2+; proficient in C/C++, Python; FPGA/VHDL/Verilog; RTOS; embedded Linux; bus protocols; willing to onsite; able to obtain DoW clearance; travel 25%.

<div><div>At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. </div><div>As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we </div><div><ul><li>build real-world, mission-scale AI capabilities through solving practical engineering problems </li></ul></div><div><ul><li>discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities </li></ul></div><div><ul><li>prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities </li></ul></div><div><ul><li>identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape   </li></ul></div><div>Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.   </div><div>Overview: As an Associate Machine Learning Engineer, you will specialize in engineering solutions that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities. </div><div> </div><div>The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, the Secure AI Lab conducts and applies cutting-edge research to protect AI systems from adversaries who aim to manipulate the system to learn, do, or reveal something it isn’t supposed to.  </div><div> </div><div>The Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas: </div><div><ul><li>Counter AI Research: Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems.   </li></ul></div><div><ul><li>AI and ML Algorithm Defense Research: Create practical mitigations and defenses for observed attacks affecting AI and ML algorithms and evaluate the effectiveness of defensive techniques. </li></ul></div><div><ul><li>Applied Adversarial Machine Learning: Advance the state of the art in adversarial machine learning by developing and transitioning capabilities to government sponsors. </li></ul></div><div> </div><div>As an engineer, you will solve problems for government sponsors by analyzing, designing, and building responsible AI systems. </div><div> </div></div><div><div>Your day-to-day engineering tasks will include: </div><div><ul><li>Identifying and investigating emerging AI and AI-adjacent technologies. </li></ul></div><div><ul><li>Defining and refining processes, practices, and tools for working with AI. </li></ul></div><div><ul><li>Designing and building well-engineered prototypes of AI systems. </li></ul></div><div><ul><li>Transitioning and providing guidance on AI capabilities to government sponsors. </li></ul></div><div> </div><div>Duties </div><div><ul><li>Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C&#43;&#43;, and Java. You will build and work with data pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods.    </li></ul></div><div><ul><li>Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems. </li></ul></div><div><ul><li>Testing and evaluation. You&#39;ll conduct rapid prototyping to demonstrate and evaluate technologies in relevant environments. You&#39;ll evaluate systems for performance and security. You&#39;ll test capabilities using novel testing and analysis techniques. </li></ul></div><div><ul><li>Collaboration. You&#39;ll actively participate on teams of developers, researchers, designers, and technical leads. You&#39;ll collaborate with researchers and our government customers to understand challenges, needs, and possible solutions. </li></ul></div><div><ul><li>Mentoring. You&#39;ll contribute to improving the overall technical capabilities of the Division by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI. </li></ul></div><div> </div><div>Knowledge and Experience </div><div><ul><li>Comprehensive knowledge of machine learning; previous experience in adversarial machine learning desirable but not required </li></ul></div><div><ul><li>A track record of using well-established engineering practices to solve difficult problems </li></ul></div><div><ul><li>An understanding of how to convert research results into functioning prototypes or capabilities </li></ul></div><div><ul><li>Experience leading technical projects in novel areas with limited previous work to build upon </li></ul></div><div><ul><li>Strong written and verbal communication skills; able to convey complex technical ideas in a layperson’s terms </li></ul></div></div><div><div><ul><li>Ample experience with publishing written or technical artifacts showcasing your work </li></ul></div><div><ul><li>Strong collaboration skills for working with colleagues and sponsors  </li></ul></div><div><ul><li>Willingness to guide and mentor junior team members </li></ul></div><div> </div><div> </div><div>Requirements </div><div><ul><li>A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with three (3) years of experience; OR MS in the same fields with one (1) year of experience; OR PhD in a relevant discipline.  </li><li>Willingness to work onsite 5 days per week at SEI offices in Pittsburgh, PA or Arlington, VA.</li></ul></div><div><ul><li>You will be subject to a background investigation and must be able to obtain and maintain an active Department of War security clearance.   </li><li>Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences. </li></ul></div></div>Joining the CMU team opens the door to an array of exceptional benefits.<a href="https://www.cmu.edu/hr/benefits/eligibility/index.html" target="_blank">Benefits eligible</a> employees enjoy a wide array of benefits including <a href="https://www.cmu.edu/hr/benefits/health-welfare/index.html" target="_blank">comprehensive medical, prescription, dental, and vision insurance</a> as well as a generous <a href="https://www.cmu.edu/hr/benefits/retirement-savings/index.html" target="_blank">retirement savings program</a> with employer contributions. Unlock your potential with <a href="https://www.cmu.edu/hr/benefits/tuition/index.html" target="_blank">tuition benefits</a>, take well-deserved breaks with ample <a href="https://www.cmu.edu/hr/benefits/time-away/pto.html" target="_blank">paid time off</a> and observed <a href="https://www.cmu.edu/hr/benefits/time-away/holidays.html" target="_blank">holidays</a>, and rest easy with life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to our <a href="https://www.cmu.edu/hr/work-life/support/family-child-care-resources/index.html" target="_blank">Family Concierge Team</a> to help navigate childcare needs, <a href="https://athletics.cmu.edu/recreation/facilities" target="_blank">fitness center access</a>, and much more!For a comprehensive overview of the benefits available, explore our <a href="https://www.cmu.edu/hr/benefits/index.html" target="_blank">Benefits page</a>.At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.Are you interested in an exciting opportunity with an exceptional organization?! Apply today!LocationArlington, VA, Pittsburgh, PAJob FunctionSoftware/Applications Development/EngineeringPosition TypeStaff – RegularFull Time/Part timeFull timePay BasisSalaryMore Information: <div><div><div><div><ul><li>Please visit “<a href="http://www.cmu.edu/jobs/why-cmu/index.html" target="_blank">Why Carnegie Mellon</a>” to learn more about becoming part of an institution inspiring innovations that change the world. </li><li>Click <a href="https://www.cmu.edu/jobs/benefits-at-a-glance/" target="_blank">here</a> to view a listing of employee benefits</li><li>Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. </li><li><a href="https://www.cmu.edu/policies/administrative-and-governance/statement-of-assurance.html" target="_blank">Statement of Assurance</a></li></ul></div></div></div></div>

Associate Machine Learning Engineer - Secure AI Lab

Associate Machine Learning Engineer

Bachelor's in CS/statistics/ML/EE with 3+ years experience; or MS with 1 year; or PhD. onsite in Pittsburgh, PA or Arlington, VA. willing to travel up to 25%. must obtain/maintain security clearance.

What We DoThe Software Engineering Institute (SEI) advances the state of the art in software engineering and cybersecurity and serves as a national resource for secure, resilient software systems. The SEI works closely with academia, the U.S. Department of War, other government organizations, and industry to improve the development, acquisition, and sustainment of software-intensive systems.Our core purpose is to help organizations acquire and operate software-reliant systems that are secure, reliable, sustainable, and mission-effective, delivered on time and within budget.If you are creative, curious, collaborative, technology-focused, and motivated to solve complex problems in support of national defense, we encourage you to apply.About the RoleWe are seeking a Software Development Technical Leader to support U.S. Navy customers in the acquisition of a software-based maintenance and readiness application critical to fleet operations and national security. This position provides technical leadership across the software acquisition lifecycle, including architecture analysis, software development oversight, risk reduction, and sustainment planning. The role requires close collaboration with Naval Program Executive Offices (PEOs) and Program Management Offices (PMOs), sustainment organizations, contractors, and fleet stakeholders to ensure software solutions meet operational, maintainability, and long-term supportability requirements.The ideal candidate combines hands-on software expertise (C/C&#43;&#43;) with experience supporting Naval acquisition programs, legacy-dependent systems, and operational environments. This role includes guiding technical teams, evaluating architectural tradeoffs, developing prototypes, analyzing existing source code, and leading customer engagements that inform acquisition and sustainment decisions.What You’ll Do<ul><li>Support Naval software acquisition and sustainment activities in accordance with DoD 5000-series acquisition guidance, including architecture analysis, software engineering, integration, testing, deployment, and long-term sustainment planning</li><li>Provide technical leadership for a fleet-facing maintenance and readiness application supporting operational availability across afloat and ashore environments</li><li>Advise Navy Program Executive Offices (PEOs), Program Management Offices (PMOs), and government stakeholders on software design decisions, technical risks, modernization strategies, and tradeoffs associated with large, legacy-dependent systems</li><li>Lead software development efforts from concept through deployment, with an emphasis on C and C&#43;&#43;-based implementations supporting high-performance and mission-critical use cases</li><li>Demonstrate software architecture expertise by developing and maintaining design artifacts such as data-flow diagrams, sequence diagrams, interface control definitions, and quality attribute specifications to support scalable, maintainable, and resilient solutions</li><li>Analyze existing source code, system interfaces, and data flows to identify technical debt, sustainment risks, and modernization opportunities.</li><li>Develop prototypes and technical demonstrations to support risk reduction, acquisition decision-making, and capability maturation</li><li>Collaborate with senior U.S. Navy and government stakeholders, contractors, integrators, SEI staff, and leadership to assess needs and deliver technically sound recommendations</li><li>Lead and mentor a team of developers, fostering disciplined engineering practices, continuous improvement, and mission focus</li><li>Support customer engagements such as technical interchange meetings (TIMs), design reviews, and acquisition milestone activities, providing clear, defensible technical input</li><li>Maintain awareness of emerging technologies, software development best practices, and Naval digital modernization initiatives relevant to sustainment and maintenance systems</li></ul>Who You Are<ul><li>Ability to obtain and maintain an active Department of War (DoW) security clearance; an existing SECRET or higher clearance is preferred</li><li>Previous experience leading, architecting, or developing large scale Navy acquisition programs including Aegis Combat System, SM-series interceptors, Sea Sparrow Missile System and/or Surface Electronic Warfare programs</li><li>Previous experience working with large scale Naval Command elements such as NAVSEA, NAVAIR, NAVWAR, NAVFAC, NIWC or their predecessors such as SPAWAR</li></ul>Education and Experience Requirements:<ul><li>BS in Computer Science, Electrical Engineering, or a related discipline with ten (10) years of relevant experience; OR Master’s degree in the same fields with eight (8) years of experience; OR PhD in the same fields with five (5) years of experience</li><li>Proven experience designing and implementing complex software architectures for mission-critical or sustainment-focused systems</li><li>Demonstrated ability to identify, analyze, and balance architecture drivers, tradeoffs, extensibility, and long-term maintainability</li><li>Deep understanding of C and C&#43;&#43; software development, including analysis of existing codebases</li><li>Working knowledge of C#, Java, and Python</li><li>Experience across the full software development lifecycle, including the use of static analysis tools and techniques to improve software quality and security</li><li>Demonstrated ability to lead technical teams and engage credibly with government and contractor stakeholders</li><li>Strong analytical, problem-solving, and communication skills, with the ability to explain complex technical concepts to government decision-makers</li><li>Willingness to work directly with U.S. military and government stakeholders in support of mission success</li><li>Ability to travel up to 25% to SEI offices, sponsor sites, conferences, and offsite meetings</li></ul>Why Work HereOur benefits philosophy centers on choice, control, and well-being. Through Carnegie Mellon University, SEI offers a comprehensive benefits package, including:<ul><li>The opportunity to join a world-class organization with a significant impact on government software systems</li><li>Work alongside leading experts to solve high-consequence national security challenges</li><li>An 8% employer retirement contribution with no employee contribution requirement</li><li>Tuition benefits for you and your dependent children</li><li>Access to university resources, including wellness programs, transit benefits, and onsite fitness facilities at select locations</li><li>Paid parental leave and military leave</li><li>Eligibility for relocation assistance and additional benefits</li></ul>Joining the CMU team opens the door to an array of exceptional benefits.<a href="https://www.cmu.edu/hr/benefits/eligibility/index.html" target="_blank">Benefits eligible</a> employees enjoy a wide array of benefits including <a href="https://www.cmu.edu/hr/benefits/health-welfare/index.html" target="_blank">comprehensive medical, prescription, dental, and vision insurance</a> as well as a generous <a href="https://www.cmu.edu/hr/benefits/retirement-savings/index.html" target="_blank">retirement savings program</a> with employer contributions. Unlock your potential with <a href="https://www.cmu.edu/hr/benefits/tuition/index.html" target="_blank">tuition benefits</a>, take well-deserved breaks with ample <a href="https://www.cmu.edu/hr/benefits/time-away/pto.html" target="_blank">paid time off</a> and observed <a href="https://www.cmu.edu/hr/benefits/time-away/holidays.html" target="_blank">holidays</a>, and rest easy with life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to our <a href="https://www.cmu.edu/hr/work-life/support/family-child-care-resources/index.html" target="_blank">Family Concierge Team</a> to help navigate childcare needs, <a href="https://athletics.cmu.edu/recreation/facilities" target="_blank">fitness center access</a>, and much more!For a comprehensive overview of the benefits available, explore our <a href="https://www.cmu.edu/hr/benefits/index.html" target="_blank">Benefits page</a>.At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.Are you interested in an exciting opportunity with an exceptional organization?! Apply today!LocationPittsburgh, PAJob FunctionSoftware/Applications Development/EngineeringPosition TypeStaff – RegularFull Time/Part timeFull timePay BasisSalaryMore Information: <div><div><div><div><ul><li>Please visit “<a href="http://www.cmu.edu/jobs/why-cmu/index.html" target="_blank">Why Carnegie Mellon</a>” to learn more about becoming part of an institution inspiring innovations that change the world. </li><li>Click <a href="https://www.cmu.edu/jobs/benefits-at-a-glance/" target="_blank">here</a> to view a listing of employee benefits</li><li>Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. </li><li><a href="https://www.cmu.edu/policies/administrative-and-governance/statement-of-assurance.html" target="_blank">Statement of Assurance</a></li></ul></div></div></div></div>

Technical Lead

BS in Computer Science/Engineering with 10+ years or MS with 8+ years or PhD with 5+ years; strong C/C++ and related languages; experience leading Navy acquisition programs; architecture and sustainment expertise.

SEI advances software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia, defense and government organizations, and industry to continually improve software-intensive systems. We deliver innovative technologies and solutions, collaborate on research in cybersecurity and artificial intelligence systems, and transition maturing technologies into practice.  Joining the SEI means becoming part of a world-class organization at the forefront of software engineering innovation. Our work has a profound impact on software systems across both government and industry. You&#39;ll collaborate with leading experts and work with cutting-edge technologies to tackle some of the nation&#39;s most complex and critical challenges. Position Summary:  SEI is seeking an enthusiastic experienced real-time embedded engineer to work on safety-critical embedded software. You will work closely with a variety of software and hardware systems including bare-metal embedded systems, RTOSes, FPGAs, and embedded Linux. You will have opportunities to develop tools, techniques, and processes to solve some of the most difficult software problems that our government faces. Who you are: <ul><li>You have a BS in Computer Science, Electrical Engineering, or related disciple with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR a PhD in the same fields with two (2) years of experience.</li><li>You’ve worked in a collaborative team environment as a software developer, software engineer, verification engineer, or related field. </li></ul><ul><li>You have proficiency in one or more of the following: C, C&#43;&#43;, VHDL, Verilog, Python, C#. </li></ul><ul><li>You’ve built, analyzed, debugged, and/or tested bare-metal systems and are familiar with a CMSIS/HAL/specific peripheral driver. </li></ul><ul><li>You have experience in one or more of the following: Java, Go, Rust, Ada, MATLAB. </li></ul><ul><li>You have experience with FPGAs and/or heterogenous computing boards that require communication and synchronization between specialized hardware/chips. </li></ul><ul><li>You have exposure with modern RTOSes, e.g. VxWorks or Integrity, and developed and analyzed embedded software. </li></ul><ul><li>You have worked with common embedded interfaces and protocols: I2C, CAN, SPI, RS-232, RS-422, etc.  </li></ul><ul><li>You’ve developed embedded software and performance tests and have experience interpreting the results. </li></ul><ul><li>You have an understanding of the Department of War (DoW) Systems Engineering lifecycle. </li></ul><ul><li>You have strong communication skills and the ability to convey difficult engineering or technical challenges to stakeholders. </li></ul><ul><li>You are willing to work 100% of your week onsite at either the SEI or customer facility. </li></ul><ul><li>You can pass a background check and obtain and maintain an active Department of War (DoW) security clearance. </li></ul><ul><li>You have a willingness to travel (25%) outside of your office location to other SEI offices, sponsor sites, conferences, and offsite meetings. </li></ul>What you’ll do: <ul><li>Understand complex, inter-dependent systems that hit multiple abstraction levels for embedded systems, interacting across a number of system interfaces. </li></ul><ul><li>Design and develop embedded software tools and capabilities to analyze, test, and evaluate existing software. </li></ul><ul><li>Apply systems engineering knowledge to identify and communicate weaknesses and flawed implementations of embedded functionality tracing from requirements. </li></ul><ul><li>Utilize static analysis, dynamic testing, and complexity analysis tools to uncover software weaknesses, security vulnerabilities, and instances of poor engineering judgment, guiding a high-impact, safety-critical system toward robustness, reliability, and engineering soundness. </li></ul><ul><li>Conduct research, experimentation, and present knowledge-sharing initiatives to enhance software development processes, demonstrate analytical capabilities, and foster a comprehensive understanding of system-of-systems (SoS) integration and performance. </li></ul>What we offer you Our benefits philosophy encompasses three driving priorities: choice, control, and well-being. Through Carnegie Mellon University, SEI offers a wide range of competitive employee benefits, including comprehensive health insurance, tuition benefits, generous time off, and a robust retirement savings policy to name a few. <ul><li>Join a world-class organization that has a significant impact on software. </li></ul><ul><li>Work with cutting edge technologies and experts to solve tough problems for the government and the nation. </li></ul><ul><li>Publish your research, attend or present at prestigious events, and enjoy annual professional development opportunities. </li></ul><ul><li>Get an 8% monthly contribution for your retirement plan without having to contribute to it yourself. </li></ul><ul><li>Get tuition benefits to attend classes at Carnegie Mellon University for you and your dependent children. </li></ul><ul><li>Get access to university resources, including campus fitness facilities, mindfulness programs, childcare, free transportation on the Port Authority Transit System, and more. </li></ul><ul><li>Enjoy paid parental and military leave. </li></ul><ul><li>Work in the heart of Oakland, a few blocks from Carnegie Mellon University and the University of Pittsburgh. </li></ul><ul><li>Qualify for relocation assistance and so much more.  </li></ul>  LocationPittsburgh, PAJob FunctionSoftware/Applications Development/EngineeringPosition TypeStaff – RegularFull time/Part timeFull timePay BasisSalary<h2>More Information: </h2><ul><li>Please visit “<a href="http://www.cmu.edu/jobs/why-cmu/index.html" target="_blank">Why Carnegie Mellon</a>” to learn more about becoming part of an institution inspiring innovations that change the world. </li><li>Click <a href="https://www.cmu.edu/jobs/benefits-at-a-glance/" target="_blank">here</a> to view a listing of employee benefits</li><li>Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. </li><li><a href="https://www.cmu.edu/policies/administrative-and-governance/statement-of-assurance.html" target="_blank">Statement of Assurance</a></li></ul>

Eight+ years experience with BS, or five+ years with MS, or two+ years with PhD in CS/EE; strong embedded systems skills in C/C++, Python; experience with RTOS, FPGAs, embedded Linux; ability to obtain DoW security clearance and travel ~25%.

<div><div>At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. </div><div>As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we </div><div><ul><li>build real-world, mission-scale AI capabilities through solving practical engineering problems </li></ul></div><div><ul><li>discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities </li></ul></div><div><ul><li>prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities </li></ul></div><div><ul><li>identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape   </li></ul></div><div>Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.   </div><div>Overview: As an Machine Learning Engineer, you will specialize in engineering solutions that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities. </div><div> </div><div>The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, the Secure AI Lab conducts and applies cutting-edge research to protect AI systems from adversaries who aim to manipulate the system to learn, do, or reveal something it isn’t supposed to.  </div><div> </div><div>The Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas: </div><div><ul><li>Counter AI Research: Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems.   </li></ul></div><div><ul><li>AI and ML Algorithm Defense Research: Create practical mitigations and defenses for observed attacks affecting AI and ML algorithms and evaluate the effectiveness of defensive techniques. </li></ul></div><div><ul><li>Applied Adversarial Machine Learning: Advance the state of the art in adversarial machine learning by developing and transitioning capabilities to government sponsors. </li></ul></div><div> </div><div>As an engineer, you will solve problems for government sponsors by analyzing, designing, and building responsible AI systems. </div><div> </div></div><div><div>Your day-to-day engineering tasks will include: </div><div><ul><li>Identifying and investigating emerging AI and AI-adjacent technologies. </li></ul></div><div><ul><li>Defining and refining processes, practices, and tools for working with AI. </li></ul></div><div><ul><li>Designing and building well-engineered prototypes of AI systems. </li></ul></div><div><ul><li>Transitioning and providing guidance on AI capabilities to government sponsors. </li></ul></div><div> </div><div>Duties </div><div><ul><li>Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C&#43;&#43;, and Java. You will build and work with data pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods.    </li></ul></div><div><ul><li>Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems. </li></ul></div><div><ul><li>Testing and evaluation. You&#39;ll conduct rapid prototyping to demonstrate and evaluate technologies in relevant environments. You&#39;ll evaluate systems for performance and security. You&#39;ll test capabilities using novel testing and analysis techniques. </li></ul></div><div><ul><li>Collaboration. You&#39;ll actively participate on teams of developers, researchers, designers, and technical leads. You&#39;ll collaborate with researchers and our government customers to understand challenges, needs, and possible solutions. </li></ul></div><div><ul><li>Mentoring. You&#39;ll contribute to improving the overall technical capabilities of the Division by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI. </li></ul></div><div> </div><div>Knowledge and Experience </div><div><ul><li>Comprehensive knowledge of machine learning; previous experience in adversarial machine learning desirable but not required </li></ul></div><div><ul><li>A track record of using well-established engineering practices to solve difficult problems </li></ul></div><div><ul><li>An understanding of how to convert research results into functioning prototypes or capabilities </li></ul></div><div><ul><li>Experience leading technical projects in novel areas with limited previous work to build upon </li></ul></div><div><ul><li>Strong written and verbal communication skills; able to convey complex technical ideas in a layperson’s terms </li></ul></div></div><div><div><ul><li>Ample experience with publishing written or technical artifacts showcasing your work </li></ul></div><div><ul><li>Strong collaboration skills for working with colleagues and sponsors  </li></ul></div><div><ul><li>Willingness to guide and mentor junior team members </li></ul></div><div> </div><div> </div><div>Requirements </div><div><ul><li>A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with eight (8) years of experience; OR MS in the same fields with one (1) year of experience; OR PhD in a relevant discipline with two (2) years of experience.  </li><li>Willingness to work onsite 5 days per week at SEI offices in Pittsburgh, PA or Arlington, VA.</li></ul></div><div><ul><li>You will be subject to a background investigation and must be able to obtain and maintain an active Department of War security clearance.   </li><li>Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences. </li></ul></div></div>LocationArlington, VA, Pittsburgh, PAJob FunctionSoftware/Applications Development/EngineeringPosition TypeStaff – RegularFull time/Part timeFull timePay BasisSalary<h2>More Information: </h2><ul><li>Please visit “<a href="http://www.cmu.edu/jobs/why-cmu/index.html" target="_blank">Why Carnegie Mellon</a>” to learn more about becoming part of an institution inspiring innovations that change the world. </li><li>Click <a href="https://www.cmu.edu/jobs/benefits-at-a-glance/" target="_blank">here</a> to view a listing of employee benefits</li><li>Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. </li><li><a href="https://www.cmu.edu/policies/administrative-and-governance/statement-of-assurance.html" target="_blank">Statement of Assurance</a></li></ul>

Machine Learning Engineer - Secure AI Lab

Machine Learning Engineer

Bachelor’s in CS/ML or related field with 8+ years experience; or MS with 1+ year; or PhD with 2+ years. Onsite in Pittsburgh, PA or Arlington, VA. Ability to obtain security clearance. Up to 25% travel.

<div><div>At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. </div><div>As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we </div><div><ul><li>build real-world, mission-scale AI capabilities through solving practical engineering problems </li></ul></div><div><ul><li>discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities </li></ul></div><div><ul><li>prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities </li></ul></div><div><ul><li>identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape   </li></ul></div><div>Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.   </div><div>Overview: As an Associate Machine Learning Engineer, you will specialize in engineering solutions that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities. </div><div> </div><div>The Secure AI Lab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, the Secure AI Lab conducts and applies cutting-edge research to protect AI systems from adversaries who aim to manipulate the system to learn, do, or reveal something it isn’t supposed to.  </div><div> </div><div>The Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas: </div><div><ul><li>Counter AI Research: Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems.   </li></ul></div><div><ul><li>AI and ML Algorithm Defense Research: Create practical mitigations and defenses for observed attacks affecting AI and ML algorithms and evaluate the effectiveness of defensive techniques. </li></ul></div><div><ul><li>Applied Adversarial Machine Learning: Advance the state of the art in adversarial machine learning by developing and transitioning capabilities to government sponsors. </li></ul></div><div> </div><div>As an engineer, you will solve problems for government sponsors by analyzing, designing, and building responsible AI systems. </div><div> </div></div><div><div>Your day-to-day engineering tasks will include: </div><div><ul><li>Identifying and investigating emerging AI and AI-adjacent technologies. </li></ul></div><div><ul><li>Defining and refining processes, practices, and tools for working with AI. </li></ul></div><div><ul><li>Designing and building well-engineered prototypes of AI systems. </li></ul></div><div><ul><li>Transitioning and providing guidance on AI capabilities to government sponsors. </li></ul></div><div> </div><div>Duties </div><div><ul><li>Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C&#43;&#43;, and Java. You will build and work with data pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods.    </li></ul></div><div><ul><li>Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems. </li></ul></div><div><ul><li>Testing and evaluation. You&#39;ll conduct rapid prototyping to demonstrate and evaluate technologies in relevant environments. You&#39;ll evaluate systems for performance and security. You&#39;ll test capabilities using novel testing and analysis techniques. </li></ul></div><div><ul><li>Collaboration. You&#39;ll actively participate on teams of developers, researchers, designers, and technical leads. You&#39;ll collaborate with researchers and our government customers to understand challenges, needs, and possible solutions. </li></ul></div><div><ul><li>Mentoring. You&#39;ll contribute to improving the overall technical capabilities of the Division by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI. </li></ul></div><div> </div><div>Knowledge and Experience </div><div><ul><li>Comprehensive knowledge of machine learning; previous experience in adversarial machine learning desirable but not required </li></ul></div><div><ul><li>A track record of using well-established engineering practices to solve difficult problems </li></ul></div><div><ul><li>An understanding of how to convert research results into functioning prototypes or capabilities </li></ul></div><div><ul><li>Experience leading technical projects in novel areas with limited previous work to build upon </li></ul></div><div><ul><li>Strong written and verbal communication skills; able to convey complex technical ideas in a layperson’s terms </li></ul></div></div><div><div><ul><li>Ample experience with publishing written or technical artifacts showcasing your work </li></ul></div><div><ul><li>Strong collaboration skills for working with colleagues and sponsors  </li></ul></div><div><ul><li>Willingness to guide and mentor junior team members </li></ul></div><div> </div><div> </div><div>Requirements </div><div><ul><li>A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with three (3) years of experience; OR MS in the same fields with one (1) year of experience; OR PhD in a relevant discipline.  </li><li>Willingness to work onsite 5 days per week at SEI offices in Pittsburgh, PA or Arlington, VA.</li></ul></div><div><ul><li>You will be subject to a background investigation and must be able to obtain and maintain an active Department of War security clearance.   </li><li>Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences. </li></ul></div></div>LocationArlington, VA, Pittsburgh, PAJob FunctionSoftware/Applications Development/EngineeringPosition TypeStaff – RegularFull time/Part timeFull timePay BasisSalary<h2>More Information: </h2><ul><li>Please visit “<a href="http://www.cmu.edu/jobs/why-cmu/index.html" target="_blank">Why Carnegie Mellon</a>” to learn more about becoming part of an institution inspiring innovations that change the world. </li><li>Click <a href="https://www.cmu.edu/jobs/benefits-at-a-glance/" target="_blank">here</a> to view a listing of employee benefits</li><li>Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. </li><li><a href="https://www.cmu.edu/policies/administrative-and-governance/statement-of-assurance.html" target="_blank">Statement of Assurance</a></li></ul>

Bachelor's in CS/stats/ML/EE with 3+ years experience; or MS with 1+ year; or PhD in a related field. Willing to work onsite in Pittsburgh, PA or Arlington, VA.

Job Type: Term (Fixed Term)<div><div>Job Description</div></div><div><div><div><div><div><div><div><div><div>OverviewRAND’s <a href="http://www.rand.org/global-and-emerging-risks/centers/ai-security-and-technology.html" target="_blank">Center on AI, Security, and Technology (CAST)</a>, part of the Global and Emerging Risks (GER) Division conducts cutting-edge research on transformative, high-impact technologies—including artificial intelligence and biotechnology—to shape policies that protect global security and advance the public good.  Your work will address key questions related to securing AI systems, understanding their cyber capabilities, and examining their policy implications. You will be responsible for leading complex projects that span technical research, policy analysis, and infrastructure development. For example, you might lead projects to develop AI-specific threat models, build software tools for AI cyber capability evaluations, or identify critical areas for new security R&amp;D. Your work will inform analysis delivered to senior government and industry leaders.You will communicate the results of your work to both technical and non-technical audiences through quick-turnaround policy briefs and detailed written research products. A recent example of one of our research products is the <a href="https://www.rand.org/pubs/research_reports/RRA2849-1.html" target="_blank">Securing AI Model Weights</a> report, which explored protecting frontier AI models from theft and misuse.This position is structured as a three-year appointment with options to renew and explore opportunities for longer-term employment at RAND thereafter.RAND&#39;s reputation for excellence is built on our commitment to high-quality, rigorous analysis and objectivity. As an Associate AI Security Resident, you&#39;ll maintain that excellence while engaging with some of the most pressing challenges of our time.QualificationsAll research positions at RAND require excellent analytic skills; the ability to communicate clearly and effectively, both orally and in writing; the ability to work effectively as a member of a multi-disciplinary team; and a strong commitment to RAND&#39;s core values of quality and objectivity.Required:<ul><li>Technical experience in security engineering, software engineering, firmware engineering, hardware engineering, or related fields</li><li>Technical management experience, including leading cross-functional teams, managing project budgets, and mentoring and developing team members</li><li>Demonstrated ability to successfully lead complex projects to completion</li><li>Proficiency in Python, Java, C/C&#43;&#43;, or other popular programming languages</li><li>Ability to develop rigorous and comprehensive <a href="https://increment.com/security/approachable-threat-modeling/" target="_blank">threat models</a> and identify potential system vulnerabilities</li><li>Excellent communication skills, both written and verbal, tailored to technical and non-technical audiences</li><li>Ability to reason about policy options given different technical considerations</li><li>Ability to work effectively in a collaborative, multidisciplinary environment</li><li>Fluency with MS Office suite</li></ul>Preferred:<ul><li>Graduate of the Computer Network Operations Development Program (CNODP), Remote Interactive Operator Training (RIOT), Future Operator Readiness Growth and Enrichment (FORGE), or equivalent experience</li><li>Experience with red team operations or offensive cyber capabilities development</li><li>Understanding of <a href="https://en.wikipedia.org/wiki/Advanced_persistent_threat" target="_blank">advanced persistent threat</a> (APT) tactics, techniques, and procedures (TTPs) and experience with defending against them</li><li>Ability to think creatively about offensive and/or defensive techniques and strategies, beyond compliance with existing regulations</li><li>Familiarity with U.S. cybersecurity agencies, authorities, and policy development processes</li><li>Experience working in or with government on cybersecurity policy</li><li>Experience with advising non-technical stakeholders on security topics</li><li>Familiarity with the AI/ML hardware stack (e.g., GPUs, TPUs, data center design)</li><li>Familiarity with the AI/ML software stack (e.g., CUDA, PyTorch, TensorFlow, Ray)</li><li>Experience working on AI research, ML model training, or model deployment</li><li>Experience with securing AI systems</li></ul>Education RequirementsRAND is hiring multiple Visiting AI Security Residents at associate I and associate II levels of experience. Minimum education requirements at the associate I level include:A BS in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar AND 1 year AI-focused real-world experience is required.ORA Master’s degree in the fields listed above is required.Security ClearanceAbility to obtain and maintain a U.S. government clearance is preferred but not required.LocationWe are hiring for this position in San Francisco, CA, Washington, DC; Santa Monica, CA; Pittsburgh, PA; and Boston, MA. We offer a hybrid work arrangement, combining work from home and on-site options. Fully remote work within the US, along with US visa support, will also be considered.Writing or Code SampleEither a writing sample or a code sample is required for this position. This sample can use a recent, previously written paper or technical report (e.g., journal article, master’s thesis or paper written for coursework, research project, technical analysis, briefings), or source code showing technical expertise in relevant domains.TermThis position is a three-year term appointment with a possibility of renewal, alongside options for longer term employment.Salary Range: Visiting Technical Associate I &#61; $90,400 - $134,400Visiting Technical Associate II &#61; $121,700 - $176,500RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate’s work experience, education/training, skills, expertise; and internal equity. Successful candidates will be offered employment in a specific title, as determined by the candidate’s education and experience. The salary range includes base pay plus RAND’s sabbatic pay (which provides additional compensation above base pay when vacation is taken). In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more.<div>#LI-DNI</div></div></div></div></div></div></div></div></div></div>Equal Opportunity Employer

Associate AI Security Resident

Technical security/engineering background; leadership experience; programming in Python/Java/C/C++; threat modeling; strong communication; policy analysis; collaboration; MS Office.

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