Solutions Engineer

• Deploy ML-based motion planning and control models onto vehicle platforms, ensuring performance under resource constraints
• Optimize models for inference speed, latency, and memory footprint without sacrificing accuracy or safety
• Collaborate with motion planning, controls, and perception teams to integrate ML components into the end-to-end autonomous driving stack
• Build scalable deployment infrastructure including evaluation pipelines, model packaging, benchmarking, and automated validation
• Validate model performance in both simulation and on-road testing, analyze results and drive iterative improvements
• Maintain production-quality code in C++ and Python
• Ensure models run reliably in production under strict performance and safety constraints

Principal Machine Learning Integration Engineer

Artificial Intelligence / Machine Learning Solutions Architect

Solutions Architect – Configuration Services

Solutions Architect

Associate Software Implementation Project Manager

Principal C2M Solution Architect