Senior Principal Engineer- MLOps & AI Machinery, ADAS/AV
$240,000–$320,000 year
HybridSunnyvale, California, United States
Job Summary
Define and drive the technical roadmap for E2E AI machinery, including training pipelines, optimization techniques, and MLOps tooling for L2+ ADAS systems. Oversee the design, development, and testing of AI machinery interactions with data sources and model repositories while collaborating with functional tech leads to define the overall architecture. Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability. Mentor a high-caliber team of AI scientists and engineers, fostering a culture of innovation and technical excellence within the autonomous driving systems group.
Required Qualifications
- Master's degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems
- 10+ years of experience in software development and system engineering for autonomous driving or ADAS applications
- Proven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deployments
- Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques
- Deep knowledge of AI frameworks such as TensorFlow and PyTorch
- Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware
- Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets
- Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale
- Must be able to lift 50 lbs
Desired Qualifications
- Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems
- Proficiency in programming languages such as Python and C++
- Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS
- Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams
- Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology
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