Staff AIML Engineer Future Sensing, Embodied AI

As a Staff AI/ML Future Sensing Engineer in the Embodied AI organization you will serve as a senior individual contributordrivingend-to-end technical work that informs next-generation sensing architecture decisions. You will help define and evaluate machine learning andperceptionsolutions that directlyimpactautonomous driving performance with emphasis on future sensing architectures multi-modal sensor fusion system integration and the technical evidenceto support sensor and compute decisions.

In this role you will partner closely with cross-functional engineering teams contribute to core technical direction within your domain and support the growth of engineers through technical collaboration and mentorship. You will help translate research into scalable onboard ML andperceptionsolutions while contributing to the continuous improvement of GMs autonomy stack and sensing strategy.

WhatYoullDo

• Design and implement AI/ML solutions aligned with GMs autonomous driving and future sensing objectives

• Lead end-to-end technical studies across sensor selection sensor configuration sensor placement and multi-modal sensor fusion using cameras lidar radar and related sensing modalities

• Architect and evaluateperceptionmodels and pipelines for detection reconstruction tracking localization support semantic labeling and uncertainty estimation

• Drive definition of robust model-level and system-level metrics used to compare sensor configurations quantify subsystem differences and evaluate performance parityrelativeto existing architectures

• Lead model development efforts spanning data curation training validation performance optimization debugging and deployment-oriented analysis

• Partner with simulation teams to define synthetic-data and sensor-model requirements needed to evaluate future sensing concepts under adverse weather sensor noise occlusions clutter and near-field versus long-range scenarios

• Drive system integration thinking across sensing calibration compute software architecture and vehicle constraints

• Translate ambiguous architecture questions into concrete experiments technical recommendations and clear go / no-go evidence packages

• Design and build efficient infrastructure pipelines and tooling to support large-scale data processing model training evaluation and rapid iteration across teams

• Drive technical execution from prototyping through integration and readiness for production adoption documentinglearningsand best practices

• Support and mentor engineers through technical collaboration and code reviews fostering knowledge sharing and engineering excellence.

Your Skills & Abilities

• Bachelors Masters or PhD in Computer Science Robotics Machine Learning Electrical Engineering or a related field

• Strong experience building and scaling AI/ML systems forperception autonomy robotics or related real-world systems

• Deep hands-on experience with modern deep learning frameworks such asPyTorchand strongproficiencyin Python

• Experience working with model training pipelines large-scale data workflows and infrastructure enabling efficient model iteration across teams

• Strong data processing skills using tools such as NumPy Pandas and Apache Spark

• Strong experience with model validation debugging performance optimization and error analysis under real-world constraints and timelines

• Strong experience with multi-modal sensor fusion andperceptionpipelines using cameras radar lidar or related sensing modalities

• Experience defining metrics and evaluation methodologies forperceptionor autonomy systems

• Strong communicationskills enabling effective collaboration across engineering teams

• Experience deploying or preparing ML models for production environments and understanding end-to-end deployment workflows.

Preferred Qualifications

• Experience in robotics or autonomous driving systems

• Experience with architecting perception or sensory systems for automotive robotics or safety-critical platforms

• Experience with system integration across sensors calibration compute and onboard software pipelines

• Experience with simulation synthetic data and sim-to-road evaluation workflows

• Technical leadership experience including mentoring engineers and shaping major workstreams from concept to execution.

Remote/Hybrid: This role is categorized as fully remote or hybrid.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not berepresentative for positionslocatedoutside of the California Bay Area.

• The salary range for this role is $189300.00 to $320700.00. 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 incentivepayprogram offers payouts based on company performance job level and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit options include medical dental vision Health Savings Account Flexible Spending Accounts retirement savings plan sickness and accident benefits life insurance paid vacation & holidays tuitionassistanceprograms employeeassistanceprogram GM vehicle discounts and more.

Company Vehicle: Upon successful completion of a motor vehicle report review you will be eligible toparticipatein a company vehicle evaluation program through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participantsare required topurchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Relocation: This job may be eligible for relocation benefits.

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