ADAS Engineer

3 months ago

Farmington Hills, MI, USASenior

Responsibilities

Deploy and optimize AI/ML models, including ADAS perception models, LLMs, and VLA models, on embedded automotive SoCs.
Profile inference pipelines and tune kernels and model graphs across heterogeneous compute resources for real-time use.
Develop orchestration and scheduling approaches for AI workloads under real-time, power, and thermal constraints.
Apply model optimization and compression techniques while preserving accuracy and intended behavior.
Evaluate trade-offs among accuracy, latency, throughput, memory footprint, and energy consumption, and make data-driven recommendations.
Diagnose deployment issues and define validation approaches for new techniques.
Collaborate with cross-functional teams to transition advanced work into the production stack.
Work across multiple software layers and provide technical communication and presentations to stakeholders.
Travel domestically and internationally to support project development as needed.

Master’s or Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or relevant industrial experience.
At least 5 years of experience with a master’s degree or at least 1 year with a Ph.D.
Knowledge of AD/ADAS systems and automotive hardware platforms.
Strong understanding of deep learning fundamentals and the numerical behavior of neural networks.
Hands-on experience with major ML frameworks and inference runtimes.
Practical experience with model compression and related accuracy/performance trade-offs.
Working knowledge of embedded SoC architectures and their impact on ML workload performance.
Strong programming skills in C/C++, preferably modern C++, and Python.
Familiarity with profiling tools and structured performance analysis.
Experience with low-level optimization techniques for AI workloads on embedded accelerators.
Ability to work independently with minimal direction and across evolving software-layer responsibilities.
Strong verbal, written, communication, presentation, influencing, and stakeholder-management skills.
Experience with PCs and application software such as Microsoft Office tools.

Domestic and international travel may be required, including occasional travel to multiple global locations.
The employer provides equal employment opportunity and reasonable accommodations for applicants with disabilities.