Note: The job is a remote job and is open to candidates in USA. General Motors is redefining mobility through innovative vehicle design and technology. The Staff AI/ML Engineer will lead technical efforts in developing machine learning solutions for autonomous driving, focusing on future sensing architectures and sensor fusion.
Responsibilities
- Design and implement AI/ML solutions aligned with GM’s 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 evaluate perception models 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 parity relative to 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, documenting learnings and best practices
- Support and mentor engineers through technical collaboration and code reviews, fostering knowledge sharing and engineering excellence
Skills
- Bachelor's, Master's, or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field
- 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 and strong proficiency in 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 and perception pipelines using cameras, radar, lidar, or related sensing modalities
- Experience defining metrics and evaluation methodologies for perception or autonomy systems
- Strong communication skills enabling effective collaboration across engineering teams
- Experience deploying or preparing ML models for production environments and understanding end-to-end deployment workflows
- 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
Benefits
- 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.
- Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
- Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.
- Note: program participants are required to purchase/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.
Company Overview
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