Staff Software Engineer - Secondary Driving System

• Serve as a technical lead for SDS software across multiple components of the stack setting direction for algorithms architectures and system interfaces across features and releases.

• Own the end-to-end technical strategy for key SDS behaviors and features spanning perception/prediction integration planning controls and system-level interactions.

• Balance hands-on technical work with cross-team leadership: you will still design and implement critical components in modern C++ while also guiding other senior and mid-level engineers to deliver at scale.

• Collaborate closely with experts in perception tracking prediction state estimation localization mapping planning controls systems engineering and safety to deliver robust fail-operational behaviors for Super Cruise and future products.

• Define technical vision & architecture

• Set the technical direction for SDS software components with a focus on correctness robustness and predictable runtime behavior under tight latency and compute budgets.

• Architect scalable modular multi-sensor perception pipelines for camera radar and lidar including detection classification lane/road feature extraction freespace/occupancy and environmental context.

• Establish and evolve interfaces and contracts between perception/prediction and upstream/downstream components (state estimation localization mapping planning controls autonomy management).

• Lead high-impact projects

• Lead design and delivery of multi-object tracking systems (e.g. Kalman/extended/unscented filters IMM probabilistic data association track lifecycle management) that provide stable high-quality tracks under real-world noise and edge cases.

• Drive development and integration of short-horizon motion prediction for vehicles VRUs and other actors using a mix of analytical models and ML-based forecasting including uncertainty modeling that enables conservative fail-operational decisions.

• Evaluate trade-offs between traditional computer vision/robotics and ML-based approaches choosing the right tool for the problem and ensuring solutions are production-ready under latency and compute constraints.

• Hands-on technical excellence

• Design and implement critical components in modern C++ (C++17 or later) with careful attention to memory management concurrency and real-time behavior; use Python for tooling data analysis and ML experimentation.

• Set and uphold high standards for software quality: clean well-documented APIs; rigorous code reviews; automated and regression testing; continuous integration; and rich logging and observability for on-road incidents.

• Profile and optimize SDS components to meet strict runtime performance determinism and resource-usage requirements using offline and online evaluation frameworks and metrics to guide iteration regression detection and performance tuning.

• Cross-functional and safety alignment

• Work with state estimation localization mapping and autonomy management partners to ensure SDS perception and prediction behavior supports reliable engagement and MRM in response to primary stack failures.

• Partner with Safety and Systems Engineering to ensure designs and implementations align with functional safety redundancy and MRM requirements for fail-operational eyes-off features.

• Represent SDS perception and prediction in cross-org technical forums ensuring alignment with broader autonomy platform and hardware roadmaps.

• Leadership & mentorship

• Provide technical mentorship to other engineers from onboarding to growing senior and staff-level talent in perception/tracking/prediction and modern C++.

• Lead and facilitate design reviews incident post-mortems and cross-team technical deep dives raising the bar for clarity robustness and execution speed.

• Help build a healthy engineering culture: pragmatic data-driven decision-making; strong ownership; and a focus on safety reliability and customer experience.

• BS MS or PhD in Computer Science Robotics Electrical/Mechanical Engineering or a related field; or equivalent practical experience.

• 8+ years of professional software engineering experience building production systems in robotics autonomous vehicles or other complex real-time/control systems including significant experience in perception and/or prediction.

• Strong proficiency in modern C++ (e.g. C++14/17 or later) in large multi-contributor codebases; experience using Python for tooling data analysis and ML experimentation.

• Demonstrated experience leading technical design and delivery of perception tracking or prediction systems in real-time environments including:

• Multi-sensor fusion across camera radar and/or lidar (e.g. object-level fusion occupancy/freespace fusion early/late fusion architectures)

• Classical computer vision and geometric algorithms (feature extraction multi-view geometry stereo SfM SLAM/visual odometry)

• Multi-object tracking (Kalman/extended/unscented filters track-to-track fusion track lifecycle management)

• Motion prediction for road users (analytical kinematic models maneuver-based prediction or learned trajectory forecasting models)

• Proven track record of delivering reliable high-quality robotics or autonomous driving software to production including:

• Testing strategies (simulation HIL scenario-based testing regression suites)

• Robust metrics and dashboards for monitoring perception/prediction performance

• Performance tuning under strict latency and compute budgets

• Strong communication and collaboration skills with the ability to:

• Drive clarity in ambiguous technical spaces

• Influence engineers and leaders across ML systems platform hardware and safety

• Document and communicate complex technical concepts to diverse audiences

• Passion for automated driving and robotics and for building systems that measurably improve safety and driver experience.

• Experience building or leading camera/radar/lidar perception and fusion for autonomous driving or advanced driver assistance systems in production.

• Deep expertise in tracking and prediction for autonomous vehicles or robotics (e.g. interaction-aware prediction occupancy forecasting scene-level prediction).

• Hands-on experience with GPU/accelerator-based ML inference model deployment and performance optimization (e.g. TensorRT ONNX Runtime custom accelerators).

• Experience with safety-critical software or working closely with functional safety teams on requirements architectures safety cases and validation for fail-operational features.

• Background in ROS or similar robotics middleware and familiarity with real-time or embedded platforms and constraints.

• The salary range for this role is $218800-$335300. 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.

• 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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