AI Data Loop Architect for ADAS & Autonomous Driving

Bosch; Sunnyvale (CA); On-site; USD 240,000 - 320,000; Full time

Benefits offered by this job

Health insurance

Dental plan

Vision plan

HSA

401(k) with company match

Wellness program

Life insurance

Long-term disability

Paid time off

Parental leave

Job summary

Bosch is seeking a Senior Principal Engineer to lead the architecture and execution of an end-to-end data engine powering L2+ ADAS and autonomous driving stacks. You will orchestrate data ingestion, labeling, model retraining, and validation for automotive-grade hardware.

Applicants should have 10+ years in ADAS/Autonomous Driving, expertise in AI architectures, and hands-on experience with Python, C++, and cloud-native MLOps. This role is based in Sunnyvale, CA with a competitive package.

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.
• Deep technical mastery of modern deep learning frameworks (PyTorch, TensorFlow) and AI paradigms.
• Expertise in model compression, quantization, and deployment onto embedded automotive target platforms.
• Hands-on experience architecting cloud-native distributed training infrastructures, high-throughput data processing pipelines, and MLOps / CI/CD.

Responsibilities

• Define and execute the technical roadmap for the E2E Autonomous Driving Data Engine and data loop automation.
• Oversee architecture, development, and testing of the AI data flywheel and its interaction with edge triggers and cloud data lakes.
• Collaborate with data engineering, cloud infra, and embedded teams to scale the AI machinery ecosystem.
• Establish a rapid-evaluation framework for benchmarking and active learning of multimodal AI solutions.
• Guide transition of raw fleet data into scalable training and auto-labeling pipelines with runtime optimization.
• Lead automated validation workflows and safety-aligned testing (SIL/HIL) for automotive standards.
• Mentor a team of AI scientists and software engineers to establish technical excellence.

Skills

End-to-End AI architecture

Cloud-native distributed training

MLOps / CI/CD

Python

C++

Model compression

Kubernetes

PyTorch

TensorFlow

Education

Master’s or PhD in CS/Robotics/EE/AI

Tools

Ray

Kubernetes

Triton

Spark

Job description

Bosch is seeking a Senior Principal Engineer to lead the architecture and execution of an end-to-end data engine powering L2+ ADAS and autonomous driving stacks. You will orchestrate data ingestion, labeling, model retraining, and validation for automotive-grade hardware.

Applicants should have 10+ years in ADAS/Autonomous Driving, expertise in AI architectures, and hands-on experience with Python, C++, and cloud-native MLOps. This role is based in Sunnyvale, CA with a competitive package.