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General Motors (GM), founded in 1908 by William "Billy" Durant in Flint, Michigan, began with the Buick Motor Company and later acquired brands like Oldsmobile
Senior ML Engineer - Model Compression
Location
Texas + 1 moreAll locations: Texas | California
Posted
91 days ago
Salary
$128.7K - $261.3K / year
Seniority
Senior
Job Description
Senior ML Engineer - Model Compression
General Motors
Description About the Team The Compression and Parity team in GM's Autonomous Vehicle (AV) Organization enables repeatable, high-velocity model deployments through principled and automated model compression under strict safety guarantees. We partner closely with model developers and deployment and infra engineers to ship numerically robust, low-latency models to the car, blending rigorous analysis with state-of-the-art methods and our own innovations. About the Role Over time, you will help grow and evolve the Compression and Parity function through the following: - Developing and iterating on quantization and compression strategies for our AV models, considering model numerical properties, safety and latency constraints, and hardware performance, and partnering on deployment of quantized models to NVIDIA-based AV hardware with our deployment, compiler, and kernel teams - Advancing our numerical sensitivity analyses to recommend safe compression policies per op/layer/block, using AV-relevant metrics (perception, trajectory, etc.) to evaluate compressed models, and collaborating with Embodied AI to support compression-aware modeling - Evolving sensitivity analysis, compression, and parity tooling into a connected, automated flow that makes low-precision deployments repeatable, reliable, and low-touch, with an emphasis on robust execution and maintainability - Bridging the gap between state-of-the-art model compression research and safety-constrained deployment while making strong technical contributions in cross-functional projects and educating others on best practices Your Skills & Abilities (Required Qualifications) - Bachelor's degree in Computer Science, Electrical Engineering, Physics, Mathematics, Data Science / ML, or a closely related quantitative field (or equivalent experience) - 3+ years of industry experience focused on model optimization and deployment, with significant hands-on work in neural network quantization / model compression / efficient inference or relevant experience - Strong proficiency in PyTorch and experience with graph-level representations (e.g., PyTorch FX, ONNX) for capture and manipulation - Background in numerical linear algebra and optimization (conditioning, spectral properties, Jacobians, Hessians) and how they relate to quantization robustness What Will Give You A Competitive Edge (Preferred Qualifications) - Master's or PhD degree in related quantitative fields - Deep experience with PTQ and QAT, compression frameworks (e.g., PT2E, ModelOpt, torchao) and advanced quantization algorithms (e.g., GPTQ, AWQ, SmoothQuant, QuIP, SparseGPT), as well as with building or extending quantization toolchains - Hands-on experience designing numerics observability and sensitivity tooling integrated into training or evaluation pipelines (logging ranges, saturation, quant noise, etc.) - A track record of collaboration, including leading cross-functional initiatives and mentoring others - Experience with additional compression techniques such as structured/unstructured pruning, low-rank decomposition, or knowledge distillation - Experience with perception and/or transformer-based models (e.g., multi-view encoders, BEV backbones, detection/segmentation heads, trajectory or planning networks), ideally in AV / ADAS - General understanding of kernel performance and optimization for reduced precision formats - Direct experience with specialized hardware accelerators for edge deployment on tight latency and memory budgets (automotive SoCs, robotics platforms, or similar) - Published research, open-source contributions, or other notable, intellectually curious work in quantization, compression, or efficient inference - 3+ years of industry experience focused on model optimization and deployment, with significant hands-on work in neural network quantization / model compression / efficient inference or relevant experience Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. - The salary range for this role: is $128,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. - Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. #GM-AV-1 This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Benefits
- 401(K), 401(K) matching, Adoption Assistance, Childcare benefits, Company-sponsored outings, Company sponsored family events, Continuing education stipend, Customized development tracks, Dedicated diversity and inclusion staff, Dental insurance, Disability insurance, Diversity manifesto, Documented equal pay policy, Volunteer in local community, Employee stock purchase plan, Family medical leave, Flexible Spending Account (FSA), Flexible work schedule, Generous parental leave, Generous PTO, Company-sponsored happy hours, Health insurance, Job training & conferences, Open door policy, Life insurance, Charitable contribution matching, Mean gender pay gap below 10%, Mentorship program, Paid volunteer time, Online course subscriptions available, Onsite gym, Open office floor plan, Paid holidays, Paid industry certifications, Paid sick days, Onsite office parking, Partners with nonprofits, Performance bonus, Promote from within, Recreational clubs, Lunch and learns, Relocation assistance, Remote work program, Return-to-work program post parental leave, Team based strategic planning, OKR operational model, Team workouts, Continuing education available during work hours, Tuition reimbursement, Mandated unconscious bias training, Vision insurance, Wellness programs, Mental health benefits, Diversity employee resource groups, Hiring practices that promote diversity, Fertility benefits, Employee resource groups, Employee-led culture committees, Quarterly engagement surveys, Hybrid work model, Pay transparency, Transgender health care benefits, Personal development training, Flexible time off, Floating holidays, Company-wide vacation
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