Overview
Imagine helping shape the absolute future of how millions of people move across the globe. At General Motors, our teams are completely redefining mobility through human-centered design and cutting-edge software. We are looking for a Staff AI/ML Future Sensing Engineer to join our Embodied AI team and spearhead machine learning solutions that power safe and reliable autonomous vehicles. Best of all? This is a fully remote role open to talented minds worldwide. If you love solving complex spatial and perception problems, you belong here.
Key Responsibilities
- Drive end-to-end technical work that directly informs next-generation sensing architecture decisions for autonomous fleets.
- Design, evaluate, and scale advanced machine learning and perception solutions that impact real-world driving performance.
- Collaborate closely with cross-functional hardware and software teams to bridge the gap between theoretical models and deployed vehicle behavior.
- Analyze complex edge cases and simulation outputs to continuously improve sensing reliability and safety.
Requirements
- Extensive professional experience designing and deploying machine learning models for computer vision, robotics, or autonomous systems.
- Strong background in sensor fusion, perception pipelines, and spatial intelligence architectures.
- Proven track record of driving technical direction as a senior individual contributor in fast-paced engineering environments.
- Exceptional coding skills in Python and C plus plus alongside deep familiarity with modern deep learning frameworks.
What You'll Gain
- The chance to work on world-changing technology that impacts global transportation at scale.
- Complete location independence with a fully remote work model that accommodates your lifestyle.
- Generous compensation packages and comprehensive benefits designed to support you and your family.
- A collaborative culture that values bold ideas, continuous learning, and creative problem-solving.
How to Apply
Click the apply button below to view the full job details and submit your application directly through the employer's official page.

