General Motors is seeking a Staff AI/ML Engineer to design and implement AI/ML solutions for autonomous driving and future sensing technologies, focusing on perception and sensor fusion.

Company: General Motors

Role: Staff AI/ML Engineer - Future Sensing, Embodied AI

Location: Sacramento | Remote | Hybrid

Experience:

Strong experience building and scaling AI/ML systems for perception, autonomy, robotics, or related real-world systems
Deep hands-on experience with modern deep learning frameworks such as PyTorch
Experience working with model training pipelines, large-scale data workflows, and infrastructure
Strong experience with model validation, debugging, performance optimization, and error analysis
Strong experience with multi-modal sensor fusion and perception pipelines using cameras, radar, lidar, or related sensing modalities
Experience defining metrics and evaluation methodologies for perception or autonomy systems
Experience deploying or preparing ML models for production environments
Technical leadership experience including mentoring engineers and shaping major workstreams

Key Skills:

AI/ML systems
Autonomous driving
Future sensing
Sensor fusion
Cameras
Lidar
Radar
Perception models
Deep learning
PyTorch
Python
NumPy
Pandas
Apache Spark
Model training pipelines
Data workflows
Simulation
Synthetic data
System integration
Calibration
Compute
Software architecture

Qualification:

Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field

Role Focus:

Design and implement AI/ML solutions aligned with autonomous driving and future sensing objectives
Lead technical studies on sensor selection, configuration, placement, and multi-modal sensor fusion
Architect and evaluate perception models and pipelines for detection, reconstruction, tracking, localization support, semantic labeling, and uncertainty estimation
Define robust model-level and system-level metrics for sensor configurations and performance evaluation
Lead model development including data curation, training, validation, performance optimization, debugging, and deployment analysis
Partner with simulation teams to define synthetic-data and sensor-model requirements
Drive system integration across sensing, calibration, compute, software architecture, and vehicle constraints
Translate ambiguous architecture questions into experiments, recommendations, and evidence packages
Design and build infrastructure, pipelines, and tooling for large-scale data processing and model iteration
Drive technical execution from prototyping through integration and production readiness
Support and mentor engineers through collaboration and code reviews

Additional responsibilities:

Document learnings and best practices
Foster knowledge sharing and engineering excellence

Nice to have:

Experience in robotics or autonomous driving systems
Experience 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

Other:

Salary range $189,300 to $320,700 with incentive pay based on company and individual performance
Benefits include medical, dental, vision, health savings and flexible spending accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation and holidays, tuition assistance, employee assistance program, GM vehicle discounts
Company vehicle evaluation program available upon motor vehicle report review
Relocation benefits may be available
General Motors offers accommodations for individuals with disabilities
Committed to non-discrimination and fostering inclusion and belonging in the workplace

Staff AI/ML Engineer - Future Sensing, Embodied AI

Skills Required

Description