Senior ADAS Data Loop & AI Flywheel Architect

SmartRecruiters, Inc.; Sunnyvale (CA); On-site; USD 240,000 - 320,000; Full time

Benefits offered by this job

Health insurance

401(k) plan with employer match

Wellness programs

Job summary

Bosch is expanding its ADAS and autonomous driving platforms and seeks a Senior Principal Engineer to define, build, and scale the vehicle platform hardware and the end-to-end data loop engine powering L2+ stacks.

You will lead the AI data flywheel, ML pipelines, and edge-to-cloud integration, driving safe, production-grade systems for multiple vehicle tiers. Strong leadership and cross-functional collaboration are required.

Qualifications

• Master’s degree or Ph.D. in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field focused on autonomous systems.
• 10+ years of software development and system architecture experience in ADAS or Autonomous Driving applications.
• Proven industry track record of taking AI-based L2+ or L3/L4 autonomous driving systems into mass production.
• Deep knowledge of End-to-End AI architecture, model training algorithms, and data flywheel concepts (including active learning, fleet edge-triggers, and automated data curation).
• Deep technical mastery of modern deep learning frameworks (PyTorch, TensorFlow) and foundational AI paradigms (Transformers, Occupancy Networks, Reinforcement/Imitation Learning).
• Expertise in model compression, quantization, and deployment of complex neural networks onto embedded automotive target platforms (SOCs).
• Hands-on experience architecting cloud-native distributed training infrastructures, high-throughput data processing pipelines, and MLOps/CI/CD platforms for petabyte-scale fleet datasets (e.g., Ray, Kubernetes, Triton, Spark).

Responsibilities

• Define and execute the technical roadmap and strategy for the E2E Autonomous Driving Data Engine, including fleet data loop automation, active learning pipelines, auto-labeling, simulation, and MLOps tooling.
• Oversee the end-to-end architecture, development, and testing of the AI data flywheel and its seamless interaction with edge fleet triggers, cloud data lakes, model repositories, and automotive target hardware.
• Collaborate closely with cross-functional leads to define, drive, and scale the integrated AI machinery ecosystem.
• Establish a rapid-evaluation development framework that accelerates benchmarking, active learning selection, and continuous integration of emerging multimodal E2E AI solutions.
• Guide the transition of raw fleet data and research prototypes into scalable, production-grade training and auto-labeling pipelines, ensuring runtime performance on automotive-grade hardware.
• Leverage experience launching AI-based L2+ systems to implement automated validation workflows, scenario-based testing (SIL/HIL), and continuous feedback loops aligned with ISO standards.
• Mentor and lead a high-caliber team of AI scientists and software engineers, establishing technical excellence in automated data engines and large-scale AI machinery.

Skills

Python

C++

Deep Learning

PyTorch

TensorFlow

MLOps

Edge/Cloud AI

Kubernetes

Data pipelines

Education

Master’s degree or Ph.D. in CS/Robotics/EE/AI

Tools

Ray

Kubernetes

Triton

Spark

Job description

Bosch is expanding its ADAS and autonomous driving platforms and seeks a Senior Principal Engineer to define, build, and scale the vehicle platform hardware and the end-to-end data loop engine powering L2+ stacks.

You will lead the AI data flywheel, ML pipelines, and edge-to-cloud integration, driving safe, production-grade systems for multiple vehicle tiers. Strong leadership and cross-functional collaboration are required.