Advanced Driver-Assistance Systems Engineer

ASTEMO AMERICAS, INC.Engineering

Job Description:

Position Overview and Objective

Astemo's Advanced Development Division is hiring a Senior Engineer to own the deployment and optimization of AI/ML workloads, including ADAS perception models, LLMs, and Vision-Language-Action (VLA) models, on embedded automotive SoCs. The engineer will work across multiple areas as priorities evolve and is expected to contribute to both current development needs and emerging software initiatives.

Job Responsibilities:

• Deploy and optimize AI/ML models on embedded automotive SoCs to meet performance, memory, and efficiency targets.
• Apply advanced model optimization techniques while preserving accuracy and intended behavior.
• Profile inference pipelines and tune workloads (kernels and model graphs) across heterogeneous compute resources for real-time use.
• Develop orchestration and scheduling approaches for AI workloads across heterogeneous compute resources under real-time and power/thermal constraints.
• Diagnose deployment-related issues and define validation approaches to evaluate new techniques.
• Manage and evaluate trade-offs across accuracy, latency, throughput, memory footprint, and energy consumption; produce data-driven recommendations.
• Collaborate with cross-functional teams to transition advanced work into the production stack.

Qualifications:

• Knowledge of AD/ADAS systems and automotive hardware platforms.
• Solid 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 techniques and the associated accuracy/performance trade-offs.
• Working knowledge of embedded SoC architectures and their implications for ML workload performance.
• Strong programming proficiency in C/C++ (modern C++ preferred) and Python.
• Familiarity with profiling tools and a structured approach to performance analysis.
• Exposure to low-level optimization techniques for AI workloads on embedded accelerators.
• Flexibility and willingness to work across multiple software layers as project needs evolve.
• Excellent communication and presentation skills, with the ability to influence and persuade stakeholders at all levels of the organization.

Additionally, the ability to work independently with minimal direction is required as are strong verbal and written communication skills. Experience with PCs and application software, such as MS Office tools, is also required.

Education: Master’s or Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.

Experience: Minimum of 5+ years with Masters and 1+ years with Ph.D. or relevant industrial experience is required.

Job level is determined by various factors such as organization size, responsibility, career stage, and capabilities.

Supervisory Responsibilities: n/a

Working conditions:

Physical Demands: Required to sit or stand for long periods of time. The employee may occasionally lift and/or move up to 25 pounds.

Travel: Domestic and international may be required as needed. The candidate will occasionally need to travel to multiple global locations to support project development

Equal Opportunity Employer (EOE) – Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender, identity, disability, protected veteran status and national origin.

At Astemo, we’re challenging the status quo with the power of diversity, inclusion, and collaboration. Our goal is to build an inclusive work environment that celebrates the differences of our employees. We want to ensure that every employee feels valued, respected and empowered. We don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community. Astemo is proud to be an equal opportunity employer.

If you need a reasonable accommodation to apply for a job at Astemo, please send the nature of the request and contact information to [email protected] when applying for the position.