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Python Developer Iii

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Python Developer Iii Jobs

Michigan Technological University

SRI International

Onsite

Hybrid

Sub Department: Michigan Tech Research Institute (MTRI)
 
Michigan Technological University is an R1 technological research university founded in 1885 in Houghton. Our rural campus is situated just miles from Lake Superior in Michigan's scenic Upper Peninsula and is home to nearly 7,500 students from more than 60 countries around the world. Consistently ranked among the best universities in the country for return on investment, Michigan’s flagship technological university offers more than 185 <a href="https://www.mtu.edu/admissions/academics/majors/">undergraduate</a> and <a href="https://www.mtu.edu/gradschool/programs/degrees/">graduate</a> degree programs. Research focus areas include defense, health, energy, automotive, environment, and aerospace.
The area’s waters, forests, and snowfall support year-round recreation, including skiing, snowboarding, hiking, biking, and paddling. The University is an integral part of the region, supported by a friendly and welcoming community that takes pride in being a true college town. We embrace our size, climate, sense of adventure, and originality.




<div>




Summary


At Michigan Technological University is seeking a Machine Learning Engineer III for our Michigan Tech Research Institute (MTRI) department. At MTRI, we develop advanced technologies that help our nation better understand, sense, and operate within complex natural and human-made environments. Our work spans multidisciplinary research and applied development, advancing ideas from foundational concepts to mission-relevant prototypes. We are seeking a Senior Machine Learning (ML) Engineer to lead technical efforts in applied ML research and development (R&amp;D). This role focuses on designing, developing, and evaluating advanced ML algorithms and systems, leading technical execution across research programs, and advancing capabilities from early-stage concepts through prototype demonstration. The successful candidate will serve as a technical leader within projects and contribute to proposal development and research direction. Candidates for this position may opt to work in either Ann Arbor, MI or Dayton, OH.




Responsibilities and Essential Duties


1. Lead the development and evaluation of ML algorithms, models, and prototype systems 2. Lead design, development, and evaluation of ML models for structured, unstructured, and sensor-derived data 3. Lead technical execution of ML efforts within research programs 4. Translate sponsor needs into technically sound ML approaches within project scope 5. Define experimental design, validation strategies, and performance metrics to assess model performance and robustness 6. Architect ML pipelines for data ingestion, training, validation, and deployment 7. Present technical results to sponsors and contribute to reports, publications, and briefings 8. Develop and evaluate prototype ML systems, including integration with sensing, software, or hardware platforms 9. Advance ML capabilities across TRLs 2-6 through modeling, experimentation, and demonstration 10. Contribute to proposal development and technical direction within research efforts 11. Mentor junior engineers and support development of technical staff 12. Commit to learning about continuous improvement strategies and applying them to everyday work. Actively engage in University continuous improvement initiatives 13. Apply safety-related knowledge, skills, and practices to everyday work.




Required Education, Certifications, Licensures


Master’s or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or related field




Required Experience


1. Minimum of 6 years of relevant experience in applied ML research or ML system development 2. Experience leading technical tasks or workstreams within ML projects




Desirable Education and/or Experience


1. 8-12 years of experience in a related technical field 2. Experience serving as PI or Technical Lead on funded research projects, including responsibility for scope, execution, and deliverables 3. Experience leading technical proposal efforts (BAAs, SBIR/STTR, RFPs) 4. Experience contributing to research proposal capture strategy 5. Experience contributing to publications or conference presentations 6. Experience coordinating small teams or groups within ML-focused projects




Required Knowledge, Skills, and/or Abilities


1. Ability to obtain a U.S. Department of Defense security clearance, which requires United States citizenship. Obtaining a national security clearance while holding a dual citizenship will not be possible when the foreign country poses a risk to the national security of the United States 2. Strong knowledge of ML frameworks (e.g., PyTorch, TensorFlow) and Python-based development 3. Proficiency in Python and scientific computing libraries 4. Ability to design and execute rigorous experimental methodologies 5. Ability to communicate technical concepts to sponsors and stakeholder




Desirable Knowledge, Skills, and/or Abilities


1. Active government security clearance at Secret-level or higher 2. Knowledge of sensor-integrated ML (e.g., RF, SAR, geospatial, multimodal data) 3. Experience with MLOps and scalable ML infrastructure 4. Ability to deploy ML systems in secure, hybrid, or HPC environments 5. Ability to guide research technical direction across multiple related efforts or capability areas of a program




Work Environment and/or Physical Demands

WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually low to moderate 



Required Training and Other Conditions of Employment


Every employee at Michigan Technological University will receive the following 4 required trainings; additional training may be required by the department. Required University Training: • Employee Safety Overview • Anti-Harassment, Discrimination, Retaliation Training • Annual Data Security Training • Annual Title IX Training Additional training will be required by the department on a periodic basis. Background Check: Offers of employment are contingent upon and not considered finalized until the required background check has been performed and the results received and assessed.



Full-Time Equivalent (FTE) % (1=100%)

1




FLSA Status


Exempt




Appointment Term


12 months




Shift


-




Pay Rate/Salary


Salary is commensurate with experience and qualifications




Title of Position Supervisor


Senior Research Engineer




Posting Type

Internal and External



Dependent on Funding

Yes



Additional Information


This position is contingent upon the continued availability of external funding.




To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
If you require any auxiliary aids, services, or accommodations during Michigan Tech’s hiring process please notify the Human Resources office at 906-487-2280 or hr-help@mtu.edu.
 Other Conditions of Employment: Please note that successful applicants are responsible for ensuring their eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of your appointment, and maintain eligibility without sponsorship throughout your appointment. 
Michigan Technological University is an Equal Opportunity Educational Institution/Equal Opportunity Employer that provides equal opportunity for all, including protected veterans and individuals with disabilities.  
The <a href="https://www.mtu.edu/publicsafety/pdfs/annual-report.pdf">Annual Security and Fire Safety Report</a> contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. Michigan Tech will provide a paper copy upon request; please contact the Michigan Tech Public Safety.
In compliance with the federal Drug-Free Schools and Communities Act (DFSCA) and its implementing regulations (34 CFR Part 86), Michigan Tech is committed to maintaining a drugfree campus environment and actively promoting the health and safety of its community. Find <a href="https://www.mtu.edu/hr/current/docs/aod-notification.pdf">our notice</a> that outlines the University's policies, legal sanctions, health risks, and available support resources related to the unlawful possession, use, or distribution of illicit drugs and alcohol.
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<div> 
<div>




Required Education, Certifications, Licensures* (minimum requirements)




</div>
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Machine Learning Engineer III

Minimum 6 years in applied ML research or ML systems; leadership of ML tasks; strong ML frameworks (PyTorch, TensorFlow) and Python; security clearance eligibility.

Michigan Technological University is an R1 technological research university founded in 1885 in Houghton. Our rural campus is situated just miles from Lake Superior in Michigan's scenic Upper Peninsula and is home to nearly 7,500 students from more than 60 countries around the world. Consistently ranked among the best universities in the country for return on investment, Michigan’s flagship technological university offers more than 185 <a href="https://www.mtu.edu/admissions/academics/majors/">undergraduate</a> and <a href="https://www.mtu.edu/gradschool/programs/degrees/">graduate</a> degree programs. Research focus areas include defense, health, energy, automotive, environment, and aerospace.
The area’s waters, forests, and snowfall support year-round recreation, including skiing, snowboarding, hiking, biking, and paddling. The University is an integral part of the region, supported by a friendly and welcoming community that takes pride in being a true college town. We embrace our size, climate, sense of adventure, and originality.




<div>




Summary


*This position has the possibility of being located in Ann Arbor, Michigan or Dayton, Ohio.
At Michigan Tech Research Institute (MTRI), we develop advanced technologies that help our nation better understand, sense, and operate within complex natural and human-made environments. Our work spans multidisciplinary research and applied development, advancing ideas from foundational concepts to mission-relevant prototypes. We are seeking a Radar Signal Processing Engineer III to lead development of advanced radar sensing capabilities supporting national security missions. This role focuses on designing and evaluating radar signal processing algorithms, developing sensing architectures, and advancing radar technologies through applied research, development, and evaluation. The successful candidate will serve as a technical leader within research programs, contributing to proposal development, mentoring junior staff, and delivering innovative sensing solutions aligned with sponsor needs. 




Responsibilities and Essential Duties


1. Lead development of radar signal processing algorithms for detection, estimation, tracking, classification, and SAR imaging. 2. Design and evaluate radar signal processing chains for sensing applications, including RF and electronic warfare environments. 3. Develop modeling and simulation frameworks to evaluate radar system performance and sensing concepts. 4. Incorporate radar phenomenology and propagation effects into modeling and algorithm development. 5. Design and execute experiments using radar datasets and prototype sensing systems. 6. Collaborate with hardware, RF, and systems engineering teams to integrate algorithms into prototype platforms. 7. Serve as task lead on research projects and mentor junior engineers. 8. Lead development of technical approaches for proposals and contribute to capture strategy. 9. Present technical results to sponsors and external stakeholders. 10. Contribute to publications, conference presentations, and technical reports. 11. Commit to learning about continuous improvement strategies and applying them to everyday work. Actively engage in University continuous improvement initiatives. 12. Apply safety-related knowledge, skills, and practices to everyday work.




Required Education, Certifications, Licensures


• Bachelor’s degree or higher in Electrical Engineering, Physics, Applied Mathematics, or related field. 




Required Experience


1. 8–12 years relevant experience 2. Experience developing radar algorithms using MATLAB, Python, or C++. 3. Experience with radar modeling, simulation, and data analysis. 4. Demonstrated ability to lead technical tasks or projects. 




Desirable Education and/or Experience


1. MS or PhD Electrical Engineering, Physics, Applied Mathematics, or related field. 2. 12+ years relevant experience 3. Experience as Principal Investigator (PI) on research projects. 4. Previously lead the execution of research projects, including technical scope, schedule, and deliverables. 5. Ability to provide technical direction for radar sensing approaches within research efforts. 




Required Knowledge, Skills, and/or Abilities


1. Ability to obtain a U.S. Department of Defense security clearance, which requires United States citizenship. Obtaining a national security clearance while holding a dual citizenship will not be possible when the foreign country poses a risk to the national security of the United States. 2. Strong expertise in radar signal processing and statistical signal processing. 3. Strong written and verbal communication skills. 4. Experience with at least one of the following: radar phenomenology and propagation effects, SAR image formation and radar imaging techniques, electronic warfare or RF signal exploitation, radar/RF classification and feature extraction, software defined radio or prototype radar systems, GPU/FPGA acceleration or high-performance computing. 




Desirable Knowledge, Skills, and/or Abilities


1. Active government security clearance at Secret level or higher. 2. Demonstrated success in, or potential future contributions to, working with persons with a wide variety of backgrounds and viewpoints. 3. Experience with two or more of the following: radar phenomenology and propagation effects, SAR image formation and radar imaging techniques, electronic warfare or RF signal exploitation, radar/RF classification and feature extraction, software defined radio or prototype radar systems, GPU/FPGA acceleration or high-performance computing. 




Work Environment and/or Physical Demands

WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually low to moderate. 



Required Training and Other Conditions of Employment


Every employee at Michigan Technological University will receive the following 4 required trainings; additional training may be required by the department. Required University Training: • Employee Safety Overview • Anti-Harassment, Discrimination, Retaliation Training • Annual Data Security Training • Annual Title IX Training Additional training will be required by the department on a periodic basis. Background Check: Offers of employment are contingent upon and not considered finalized until the required background check has been performed and the results received and assessed.
Please note that successful applicants must have the ability to obtain a U.S. Department of Defense security clearance, which requires United States citizenship. Obtaining a national security clearance while holding a dual citizenship will not be possible when the foreign country poses a risk to the national security of the United States



Full-Time Equivalent (FTE) % (1=100%)

1.0




FLSA Status


Exempt




Appointment Term


12 months




Pay Rate/Salary


Salary is commensurate with experience and qualifications.




Title of Position Supervisor


Research Engineer III 




Posting Type

Internal and External



Dependent on Funding 

Yes. 
This position is contingent upon the continued availability of external funding.




To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
If you require any auxiliary aids, services, or accommodations during Michigan Tech’s hiring process please notify the Human Resources office at 906-487-2280 or hr-help@mtu.edu.
 Other Conditions of Employment: Please note that successful applicants are responsible for ensuring their eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of your appointment, and maintain eligibility without sponsorship throughout your appointment. 
Michigan Technological University is an Equal Opportunity Educational Institution/Equal Opportunity Employer that provides equal opportunity for all, including protected veterans and individuals with disabilities.  
The <a href="https://www.mtu.edu/publicsafety/pdfs/annual-report.pdf">Annual Security and Fire Safety Report</a> contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. Michigan Tech will provide a paper copy upon request; please contact the Michigan Tech Public Safety.
In compliance with the federal Drug-Free Schools and Communities Act (DFSCA) and its implementing regulations (34 CFR Part 86), Michigan Tech is committed to maintaining a drugfree campus environment and actively promoting the health and safety of its community. Find <a href="https://www.mtu.edu/hr/current/docs/aod-notification.pdf">our notice</a> that outlines the University's policies, legal sanctions, health risks, and available support resources related to the unlawful possession, use, or distribution of illicit drugs and alcohol.
</div>




<div> 
<div>




Required Education, Certifications, Licensures* (minimum requirements)




</div>
</div>

Radar Signal Processing Engineer III

Radar Signal Processing Engineer

Bachelor's degree in Electrical Engineering, Physics, or related field; 8–12 years experience; MATLAB, Python, C++; radar modeling and data analysis; leadership experience.

Overview:
From our Ann Arbor, MI office, we have an opening for a Research Engineer with real-time hardware and embedded software experience. You will participate in multi-disciplinary, collaborative teams and contribute to the development of state-of-the-art remote sensing and surveillance processing algorithms and software implemented on real-time hardware. Relevant sensor types include electro-optic/infrared and active/passive radar imaging systems. Candidates must have experience with either real-time hardware or embedded software. Those lacking experience with one but possess the desire and motivation to learn the other are encouraged to apply.  This position is within the Advanced Technology and Systems Division (ATSD). The vision of ATSD is to create competitive advantages for our customers by inventing new technology and concepts resulting in disruptive, low cost, and high-performance solutions. The division advances the state of the art in diverse areas such as radar and electronic warfare; novel imaging technology; robotics; quantum sensing and metrology; marine technology; and applied optics. <a href="https://www.sri.com/research/advanced-technology-and-systems-division/" target="_blank" rel="noopener">Check us out!</a>

Responsibilities:
<ul><li>Implementation of complex algorithms on real-time hardware.</li><li>Collaboration with algorithm developers to enhance performance of algorithms on real-time hardware</li><li>Development of software to control sensors and processing nodes</li><li>Configure processing nodes to optimize performance</li><li>Participate in laboratory work, collecting and analyzing sensor data</li></ul>

Qualifications:
<ul><li>Minimum qualifications: RE II - Bachelors with 2+ years OR M.S. degree; RE III - Bachelors with 5+ years OR MS with 3+ years of related experience.   Area of study - Electrical Engineer, Computer Engineering, Computer Science, Physics, Math, or another related field.</li><li>U.S. Citizenship with ability to obtain and maintain a U.S. government security clearance required.</li><li>Experience with software development in C and/or C++</li><li>Embedded systems – FPGA and/or GPU systems (CUDA, OpenCL)</li><li>Experience with Unix/Linux operating system and multi-threaded/parallel computing</li><li>Strong analytical ability</li><li>Ability to support occasional travel associated with meetings and/or data collections</li></ul>Desired Skills:<ul><li>Digital Signal Processing (DSP) theory and implementation</li><li>Experience with Matlab and/or Python </li><li>Networking hardware/software/administration</li><li>Basics of digital system design</li></ul>The salary range is: RE II -$90,580-$134,740. RE III - $115,710-$$172,115. Salary ranges will vary and are based on several factors, including geographic location, market competitiveness and equity amongst internal employees in similar roles. Positions may also qualify for SRI's Pay for Outstanding Performance program or the annual Performance Based Compensation program. SRI also has a competitive benefits package, to view details please go to https://www.sri.com/resources/benefits/. SRI will accept applications until the position is filled.SRI is an independent nonprofit research institute headquartered in Menlo Park, Calif., with a rich history of supporting government and industry. We create and deliver world-changing solutions for a safer, healthier, and more sustainable future. For more than 75 years, we have collaborated across technical and scientific disciplines to discover and develop groundbreaking products and technologies and bring innovations and ideas to the marketplace.

Research Engineer II/III - FPGA, GPU programming

Research Engineer

RE II or RE III with relevant hardware/embedded software experience; U.S. citizenship and ability to obtain security clearance; experience with C/C++, FPGA/GPU, Unix/Linux; real-time hardware or embedded software.

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