Staff AI/ML Engineer - Future Sensing, Embodied AI
WFA Digital Insight
The demand for AI and machine learning specialists in the automotive industry has surged, with a 25% increase in job postings in the last year alone. As companies like General Motors invest heavily in autonomous driving technology, the need for skilled engineers who can develop and deploy cutting-edge AI solutions has never been greater. With its rich history of innovation, General Motors is an attractive employer for those looking to make a real impact in the industry. Before applying, candidates should be aware that this role requires a strong foundation in machine learning and software development, as well as excellent collaboration and problem-solving skills.
Job Description
About the Role
The Staff AI/ML Engineer position at General Motors is a unique opportunity to be part of a team that is shaping the future of transportation. As a senior individual contributor, you will be responsible for driving end-to-end technical work that informs next-generation sensing architecture decisions. You will work closely with cross-functional engineering teams to define and evaluate machine learning and perception solutions that directly impact autonomous driving performance.The Embodied AI team at General Motors is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios. As a Staff AI/ML Engineer, you will play a key role in the development of these solutions, working on future sensing architectures, multi-modal sensor fusion, system integration, and the technical evidence required to support sensor and compute decisions.
You will be part of a dynamic team that values innovation, collaboration, and continuous learning. General Motors is committed to creating a work environment that is inclusive, diverse, and supportive of the well-being of its employees.
What You Will Do
- 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
What We Are Looking For
- 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
- Excellent collaboration and problem-solving skills, with the ability to work effectively in a team environment
- Strong communication skills, with the ability to communicate complex technical concepts to both technical and non-technical stakeholders
Nice to Have
- Experience with Excel and other data analysis tools
- Knowledge of computer vision and sensor fusion techniques
- Familiarity with cloud-based platforms and containerization technologies
Benefits and Perks
- Competitive salary and benefits package
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
- Flexible working hours and remote work options
- Access to cutting-edge technologies and tools
- Recognition and reward for outstanding performance
How to Stand Out
- Make sure to highlight your experience with machine learning frameworks such as PyTorch and your proficiency in Python.
- Be prepared to discuss your approach to solving complex technical problems and your experience working in a team environment.
- Show a deep understanding of the autonomous driving industry and the challenges associated with developing and deploying AI solutions in this space.
- Emphasize your ability to communicate complex technical concepts to both technical and non-technical stakeholders.
- Be prepared to provide examples of your experience with model training pipelines, large-scale data workflows, and infrastructure enabling efficient model iteration.
- Research the company culture and values, and be prepared to discuss how you can contribute to and thrive in a collaborative and dynamic work environment.
This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.