Senior ML Engineer - Model Compression

• 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

• 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

• 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

• The salary range for this role: is $128700 to $261300. 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.

What We Do

At General Motors our vision is to create a world with Zero Crashes Zero Emissions and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better safer and more equitable for all. Our industry and company are undergoing a once-in-a-lifetime technological transformation which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward together. We’re building vehicle software alongside its hardware hands-free driving that will lead to autonomy and EVs that charge your home for an all-electric future.

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