Explore 4 engineering development program jobs from 4 hiring companies in Miami, OK, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Engineering Development Program

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Engineering Development Program Jobs

Anthropic

Electric Power Research Institute

Fortna

NVIDIA

Hybrid

<h1>Job Title:</h1>Program Manager – Cyber Security for Transmission, Distribution &amp; Grid Edge Systems<h1>Location:</h1>Charlotte, NC, Knoxville, TN, Remote/Home Based<h1>Job Summary and Description:</h1>The Program Manager for EPRI’s Cyber Security for Energy Delivery &amp; Customer Solutions research program (P183) is a senior technical and business leadership role responsible for the strategy, execution, and growth of EPRI’s end-to-end cyber security R&amp;D for power delivery systems.The Program Manager leads a multi-disciplinary team and portfolio spanning cyber security research, applied demonstrations, and technology transfer working closely with internal EPRI sector peers and external stakeholders to deliver measurable value for EPRI members. The cyber security area is structured as a comprehensive program with project sets spanning strategic intelligence &amp; emerging issues, incident &amp; threat management, transmission &amp; distribution systems, DER &amp; grid-edge systems, and cyber security data &amp; analytics.Due to U.S. Government export regulations under the International Traffic in Arms Regulations (ITAR), this position requires the successful candidate to be a U.S. citizen.Core Responsibilities:Program Strategy &amp; Portfolio Leadership<ul><li>Own the Cyber Security program strategy and roadmap and alignment to member needs and utility advisory input.</li><li>Translate industry challenges into crisp research value propositions and execution plans that fit EPRI’s collaborative research model.</li><li>Ensure portfolio cohesion across incident/threat management, T&amp;D security, substation security, DER/grid-edge security, and data/analytics.</li><li>Strong collaboration across EPRI (including cyber security efforts in other sectors) and with external partners (utilities, labs, government, vendors, academia).</li></ul>Technical Leadership &amp; R&amp;D Execution<ul><li>Lead research efforts to develop and apply cyber security technologies and practices for power delivery systems, including protective measures, incident management, and operational guidance.</li><li>Support and integrate work that touches NERC CIP compliance objectives and implementation realities across utility OT environments.</li><li>Provide direction and oversight to lab-enabled research and applied demonstrations, including integration tasks that may involve substation/device remote access, network management systems, and IDS/SIEM environments.</li></ul>Member Engagement, Advisory Leadership, and Technology Transfer<ul><li>Serve as a primary face of the program with utility members: engage executives and practitioners, run advisory structures, and ensure strong bidirectional communication.</li><li>Communicate research strategies and results through presentations, guidelines, reports, webcasts, workshops, and conferences.</li><li>Partner with Member Services/EPRI International to support retention, growth, and strategic account engagement.</li></ul>Industry &amp; Stakeholder Engagement<ul><li>Maintain an active presence in relevant industry forums and working groups (e.g., IEC TC57 WGs, IEEE, CIGRE, DNP User Group, and similar).</li><li>Proactively engage with external stakeholders such as national laboratories and relevant U.S. agencies (e.g., DOE, NERC, CISA) where appropriate to advance mission-aligned collaboration and visibility.</li></ul>Operational &amp; Financial Management<ul><li>Accountable for technical and financial results produced by the program, including funding plans, spending oversight, and workforce planning.</li><li>Develop project plans and manage technical/logistical execution; ensure completion on schedule and within budget.</li><li>Identify and lead internal staff and external/contract resources as needed; select contractors, frame statements of work, and manage milestones.</li></ul>People Leadership<ul><li>Lead and develop program staff; support hiring, performance management, and development planning.</li><li>Foster a collaborative, inclusive team culture aligned to EPRI’s cross-sector, member-driven model.</li></ul>Required Expertise / Focus Areas:The successful candidate will have deep experience in utility OT security and applied cyber security practice across areas such as:<ul><li>Incident management and response operations</li><li>Threat management and threat intelligence</li><li>Applying Artificial Intelligence to cyber security practices</li><li>Cyber security forensics / investigations</li><li>Transmission and distribution control center security</li><li>T&amp;D substation security and field environment realities</li><li>DER security and grid-edge technologies</li><li>Cyber security metrics, data, and analytics</li></ul>Minimum Qualifications:<ul><li>Bachelor’s degree in Engineering, Computer Science, Cyber Security, or related technical field (or equivalent experience).</li><li>10–15&#43; years of relevant experience in cyber security, OT/ICS security, and/or electric sector operations with progressively increasing leadership responsibility.</li><li>Demonstrated leadership of complex R&amp;D programs or portfolios, including planning, budgeting, and delivery accountability.</li><li>Strong utility-facing communication skills: executive presence, clear writing, and strong presentation delivery.</li></ul>Strongly Preferred Qualifications:<ul><li>Direct experience at an electric utility (transmission, distribution, operations, or OT security) or as a trusted utility contractor/consultant with extensive utility engagement.</li><li>Recognized presence in the electric-sector cyber security community (industry credibility, working group participation, speaking/publishing).</li><li>Familiarity with utility protocols and substation/field environments (e.g., DNP, Modbus, IEC 61850, C37.118, C12.22) and enterprise security technologies.</li><li>Experience partnering with vendors/manufacturers and understanding product/field constraints.</li><li>Demonstrated success in business development: growing membership-funded work, supplemental projects, and/or international engagement.</li></ul>Work Arrangement / Travel:<ul><li>Knoxville or Charlotte preferred; remote considered for an exceptional candidate.</li><li>Travel is expected for member engagement, advisory meetings, conferences, and internal coordination.</li></ul>The salary range for this position is $185,000 USD to $200,000 USD annually.This salary range is an estimate, and the actual salary may vary based on various factors, including without limitation applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location.This role is eligible to participate in EPRI’s annual incentive program. The amount of incentive varies and is subject to the terms and conditions of the plan.This role is eligible to participate in EPRI’s standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, STD/LTD and paid family leave, life and accident insurance, paid time off (flexible vacation, sick leave, and holiday pay).EPRI participates in E-Verify, an online system operated jointly by the Department of Homeland Security and the Social Security Administration (SSA). EPRI uses the system to check the work status of new hires by comparing information from the employee's I-9 form against SSA and Department of Homeland Security databases.EPRI is an equal opportunity employer. EEO/AA/M/F/VETS/DisabledTogether . . . Shaping the Future of Energy.www.epri.com

Program Manager – Cyber Security for Transmission, Distribution & Grid Edge Systems

Program Manager

Senior program lead with 10-15 years in cyber security/OT security; BS in engineering/CS/cyber security; U.S. citizen due to ITAR.

<div class="content-intro"><h2>About Anthropic</h2>
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</div><a href="http://bit.ly/anthropic-fellows">Apply using this link</a>. The next cohort of Anthropic fellows starts on July 20, 2026. Apply by April 26, 2026 to be considered for this cohort. We will continue accepting applications for later cohorts on a rolling basis. In exceptional circumstances, we may be able to accommodate fellows starting outside of usual cohort timelines.
This page is specific to one of the Anthropic Fellows Workstreams, see also the main&nbsp;<a href="https://job-boards.greenhouse.io/anthropic/jobs/5023394008">Anthropic Fellows posting</a>.
<h1>Anthropic Fellows Program overview</h1>
The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.
Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers.
We run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.
<h2>What to expect</h2>
<ul>
<li>4 months of full-time research&nbsp;</li>
<li>Direct mentorship from Anthropic researchers&nbsp;</li>
<li>Access to a shared workspace (in either Berkeley, California or London, UK)</li>
<li>Connection to the broader AI safety and security research community</li>
<li>Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)</li>
<li>Funding for compute (~$15k/month) and other research expenses</li>
</ul>
<h2>Interview process</h2>
The interview process will include an initial application &amp; reference check, technical assessments &amp; interviews, and a research discussion.&nbsp;
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
<h2>Compensation</h2>
The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).
<h2>Fellows workstreams</h2>
Due to the success of the <a href="https://alignment.anthropic.com/2024/anthropic-fellows-program/">Anthropic Fellows for AI Safety Research</a> program, we are now expanding it across teams at Anthropic. We expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the workstreams.
Some of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the<a href="https://bit.ly/afpsafety"> application</a>. You can see an overview of the current workstreams below:
<ol>
<li>AI Safety Fellows</li>
<li>AI Security Fellows</li>
<li>ML Systems &amp; Performance Fellows</li>
<li>Reinforcement Learning Fellows</li>
<li>Economics &amp; Societal Impacts Fellows</li>
</ol>
This page is specific to one of the Anthropic Fellows Workstreams, see also the main&nbsp;<a href="https://job-boards.greenhouse.io/anthropic/jobs/5023394008">Anthropic Fellows posting</a>.
<h2>Across the workstreams, you may be a good fit if you:</h2>
<ul>
<li>Are motivated by making sure AI is safe and beneficial for society as a whole</li>
<li>Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic</li>
<li>Have a strong technical background in computer science, mathematics, or physics</li>
<li>Thrive in fast-paced, collaborative environments</li>
<li>Can implement ideas quickly and communicate clearly</li>
</ul>
<h2>Strong candidates may also have:</h2>
<ul>
<li>Strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity)</li>
<li>Experience in areas of research or engineering related to their workstream</li>
</ul>
<h2>Candidates must be:</h2>
<ul>
<li>Fluent in Python programming</li>
<li>Available to work full-time on the Fellows program</li>
</ul>
<h1>Reinforcement Learning Fellows</h1>
<h2>Mentors, research areas, &amp; past projects</h2>
Fellows will undergo a project selection &amp; mentor matching process. Potential research areas and mentors include:
<ul>
<li>Ruhua Jiang</li>
<li>Kaidi Cao</li>
<li>Sunny Duan</li>
<li>David Brandfonbrener</li>
<li>Colt Steele</li>
<li>Dino Distefano</li>
<li>Will Williams</li>
</ul>
Projects in this workstream may include:
<ul>
<li>Building model-based tools to better understand AI training data and improve training data quality</li>
<li>A research project to better understand generalization</li>
<li>Creating RL environments to improve Claude models at capabilities that are within your domain of expertise</li>
<li>Building RL environments for safety-related tasks</li>
<li>Conducting research and implementing solutions in areas such as RL algorithms</li>
</ul>
<h2>Unique candidate criteria</h2>
You might be a particularly great fit for this workstream if you:
<ul>
<li>Have strong software engineering skills with experience building complex ML systems</li>
<li>Can balance research exploration with engineering rigor and operational reliability</li>
<li>Enjoy collaborating across research and engineering disciplines</li>
<li>Are comfortable working with large-scale distributed systems and high-performance computing</li>
<li>Have experience with training, fine-tuning, or evaluating large language models</li>
<li>Are adept at analyzing and debugging model training processes</li>
</ul>
<h1>Logistics</h1>
Logistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.
Workspace Locations: We have designated shared workspaces in London and Berkeley where fellows will work from and mentors will visit. We are also open to remote fellows in the UK, US, or Canada. We will ask you about your availability to work from Berkeley or London (full- or part-time) during the program.
Visa Sponsorship: We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.
Program Duration: The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.
Please note: We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic. In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organizations.
Applications and interviews are managed by<a href="https://www.constellation.org/"> Constellation</a>, our official recruiting partner for this program. Constellation also runs the Berkeley workspace that hosts fellows. Clicking "Apply here" will redirect you to Constellation's application portal. You can expect to receive emails from Constellation with application updates.
<h1><a href="https://bit.ly/anthropic-fellows">Apply here</a></h1>
The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program.<div class="content-conclusion"><h2>Logistics</h2>
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:&nbsp;A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:&nbsp;We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.&nbsp; Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from&nbsp;@anthropic.com&nbsp;email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit&nbsp;<a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a>&nbsp;directly for confirmed position openings.
<h2>How we're different</h2>
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
<h2>Come work with us!</h2>
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:&nbsp;Learn about&nbsp;<a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a>&nbsp;for using AI in our application process</div>

Anthropic Fellows Program — Reinforcement Learning

Reinforcement Learning Fellows

Fluent in Python; available to work full-time; strong software engineering; interest in empirical AI research.

<div><div><div><div><div><div><div>FORTNA partners with the world’s leading brands to transform omnichannel and parcel distribution operations. Known world-wide for enabling companies to keep pace with digital disruption and growth objectives, we design and deliver solutions, powered by intelligent software, to optimize fast, accurate and cost-effective order fulfillment and last mile delivery. Our people, innovative approach and proprietary algorithms and tools ensure optimal operations design and material and information flow. We deliver exceptional value every day to our customers with comprehensive services and products including network strategy, distribution center operational design and implementation, material handling automated equipment, robotics and a comprehensive suite of lifecycle services.At FORTNA, we believe in fostering a workplace that isn&#39;t just a job but a movement – a collective effort to redefine success and transform challenges into opportunities. &#34;Join the Movement&#34; encapsulates our commitment to a workplace culture that thrives on collaboration, celebrates diversity, and empowers every individual to contribute to something greater than themselves. Our Team. Our Passion. Our Approach. </div></div></div></div></div></div></div>Job Description FORTNA is seeking a Sr Controls Engineer to drive the design, functionality, and testing of upper‑level automated sortation systems. This role leads and supports controls design and programming for new projects, troubleshoots complex issues across controls hardware and software, and provides leadership and mentoring to junior engineers to ensure successful project delivery and adherence to approved design and customer specifications. Key Responsibilities<ul><li>Drive design, functionality, and testing of upper‑level automated sortation systems</li><li>Lead and assist in the design and programming of new projects</li><li>Write and implement modular and reusable PLC code and support on‑site controls engineering tasks</li><li>Design and develop HMI solutions using platforms such as Ignition, Wonderware, FactoryTalk View, or FactoryTalk Optix</li><li>Implement and commission PLC and HMI programs to satisfy approved design and customer specifications</li><li>Diagnose and resolve controls issues involving I/O, hardware (controller setup, VFDs, communications devices), and software (PLC and HMI feedback) using electrical troubleshooting best practices</li><li>Provide leadership, guidance, and mentoring to junior level engineers</li><li>Work with FORTNA employees, customer representatives, and third‑party vendors to ensure all aspects of a project are considered during design and execution</li><li>Review electrical designs and support accurate as‑built documentation for approval</li></ul> Required Qualifications<ul><li>Demonstrated ability to lead controls design/programming activities for automated systems</li><li>Advanced troubleshooting capability across I/O, controller hardware (setup/VFDs/comms), and PLC/HMI software feedback</li><li>Experience developing modular/reusable PLC code</li><li>Experience developing HMI solutions using Ignition / Wonderware / FactoryTalk View / FactoryTalk Optix</li><li>Ability to provide mentoring/technical guidance to junior engineers</li></ul> Preferred Qualifications<ul><li>Experience driving controls functionality and testing for automated sortation systems</li><li>Experience reviewing electrical designs and supporting as‑built documentation packages</li><li>Experience collaborating directly with customers and third‑party vendors in project delivery environments</li></ul> Work Environment &amp; Physical Requirements<ul><li>Ability to work safely in active construction and operational warehouse environments</li><li>Ability to climb ladders, work at heights, and navigate around automated equipment</li><li>Ability to lift up to 50 lbs as required</li></ul> Additional Job Details (Workday Metadata)<ul><li>Department: North America Controls Engineering</li><li>Employment Type: Full‑Time</li><li>FLSA Status: Exempt</li><li>Work Location: Peachtree Corners, GA / US Remote</li><li>Travel: Required (project dependent)</li><li>Supervisory Responsibilities: None (mentoring expected)</li></ul>This job description describes the general nature and level of work expected of a person assigned to this position. All job requirements listed indicate the minimum level of knowledge, skills and/or ability deemed necessary to perform the job proficiently. Employees may be required to perform any other job-related duties as requested by their supervisor.It is the policy of FORTNA and its affiliated companies to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, pregnancy or pregnancy-related condition, status with regard to public assistance, veteran status, citizenship status (if authorized to work in the U.S.), or any other characteristic protected by federal, state or local law. In addition, FORTNA will provide reasonable accommodations for qualified individuals with disabilities.

Sr Controls Engineer

Controls Engineer

Extensive experience in designing and programming automated control systems; PLC/HMI development; mentoring; troubleshooting across I/O, hardware, and software.

Nvidia

We are now looking for a Senior Machine Learning Applications and Compiler Engineer! NVIDIA is seeking engineers to develop algorithms and optimizations for our inference and compiler stack. You will work at the intersection of large-scale systems, compilers, and deep learning, crafting how neural network workloads map onto future NVIDIA platforms. This is your chance to be part of something outstandingly innovative! What you’ll be doing:<ul><li>Build, develop, and maintain high-performance runtime and compiler components, focusing on end-to-end inference optimization.</li><li>Define and implement mappings of large-scale inference workloads onto NVIDIA’s systems.</li><li>Extend and integrate with NVIDIA’s SW ecosystem, contributing to libraries, tooling, and interfaces that enable seamless deployment of models across platforms.</li><li>Benchmark, profile, and monitor key performance and efficiency metrics to ensure the compiler generates efficient mappings of neural network graphs to our inference hardware.</li><li>Collaborate closely with hardware architects and design teams to feedback software observations, influence future architectures, and codesign features that unlock new performance and efficiency points.</li><li>Prototype and evaluate new compilation and runtime techniques, including graph transformations, scheduling strategies, and memory/layout optimizations tailored to spatial processors.</li><li>Publish and present technical work on novel compilation approaches for inference and related spatial accelerators at top tier ML, compiler, and computer architecture venues.</li></ul> What we need to see:<ul><li>MS or PhD in Computer Science, Electrical/Computer Engineering, or related field, or equivalent experience, with 5 years of relevant experience.</li><li>Strong software engineering background with proficiency in systems level programming (e.g., C/C&#43;&#43; and/or Rust) and solid CS fundamentals in data structures, algorithms, and concurrency.</li><li>Hands on experience with compiler or runtime development, including IR design, optimization passes, or code generation.</li><li>Experience with LLVM and/or MLIR, including building custom passes, dialects, or integrations.</li><li>Familiarity with deep learning frameworks such as TensorFlow and PyTorch, and experience working with portable graph formats such as ONNX.</li><li>Solid understanding of parallel and heterogeneous compute architectures, such as GPUs, spatial accelerators, or other domain specific processors.</li><li>Strong analytical and debugging skills, with experience using profiling, tracing, and benchmarking tools to drive performance improvements.</li><li>Excellent communication and collaboration skills, with the ability to work across hardware, systems, and software teams.</li><li>Ideal candidates will have direct experience with MLIR based compilers or other multilevel IR stacks, especially in the context of graph based deep learning workloads.</li></ul> Ways to stand out from the crowd:<ul><li>Prior work on spatial or dataflow architectures, including static scheduling, pipeline parallelism, or tensor parallelism at scale.</li><li>Contributions to opensource ML frameworks, compilers, or runtime systems, particularly in areas related to performance or scalability.</li><li>Demonstrated research impact, such as publications or presentations at conferences like PLDI, CGO, ASPLOS, ISCA, MICRO, MLSys, NeurIPS, or similar.</li><li>Experience with large-scale AI distributed inference or training systems, including performance modeling and capacity planning for multi rack deployments.</li></ul> #LI-HybridYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until February 8, 2026.This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Senior Machine Learning Applications and Compiler Engineer

MS or PhD in CS/EE or related field with 5+ years; strong systems programming (C/C++, Rust); compiler/runtime experience; LLVM/MLIR; DL frameworks; parallel architectures.

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