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Senior Principal Engineer- Autonomous Driving (ADAS) Data Loop & Flywheel

Sunnyvale, CA, United States

Live, first seen by us 24 days ago
Pay
$240,000–320,000/year · BaseAnnual period assumed. Location-specific pay. Excludes bonus — pay source
Additional Information The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits.
Read the full posting
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Define and execute the roadmap for the autonomous driving data engine

  • Oversee architecture and testing of the AI data flywheel and its interfaces to fleet, cloud, and hardware

  • Turn raw fleet logs and research prototypes into production training and auto-labeling pipelines

  • Build scenario-based testing (SIL/HIL) and automated validation workflows

  • Mentor and lead a team of AI scientists and software engineers

From the employer’s posting
Define and execute the technical roadmap and strategy for the E2E Autonomous Driving Data Engine
Oversee the end-to-end architecture, development, and testing of the AI data flywheel
Guide the transition of raw fleet log data and research prototypes into scalable, production-grade training and auto-labeling pipelines
implement automated validation workflows, scenario-based testing (SIL/HIL), and continuous feedback loops
Mentor and lead a high-caliber team of AI scientists and software engineers

What you’ll bring

All qualifications

Core experience

  • 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.
  • 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).
  • 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).

Preferred experience

  • Hands-on experience developing offline high-precision auto-labeling frameworks (utilizing multimodal foundation models, 3D perception fusion, or generative AI engines).
  • Experience integrating closed-loop simulation engines (SIL/HIL) and synthetic scenario generation into AI retraining pipelines.
  • Deep understanding of functional safety and safety-of-the-intended-functionality standards (ISO 26262, ISO 21448 / SOTIF) applied to deep learning systems.
Qualification wording
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.
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).
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).
Hands-on experience developing offline high-precision auto-labeling frameworks (utilizing multimodal foundation models, 3D perception fusion, or generative AI engines).
Experience integrating closed-loop simulation engines (SIL/HIL) and synthetic scenario generation into AI retraining pipelines.
Deep understanding of functional safety and safety-of-the-intended-functionality standards (ISO 26262, ISO 21448 / SOTIF) applied to deep learning systems.
Education & alternatives
Basic 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.
Apply at Bosch Group

Posting record

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Status in our records
Live
First seen by us
Oct 15, 202624 days ago
Recorded sightings
1
Last seen by us
Nov 5, 2026
Employer says posted
Sep 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,319 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 24

Similar jobs usually come down between day 7 and day 72.

At Bosch Group, jobs usually come down by about day 18.

From 4,638 similar postings that came down, and 307 of Bosch Group’s. Coming down is not always a hire.

Bosch Group is hiring

46 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down quickly
  • 17% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • C++
  • Python
  • Kubernetes
  • Spark
  • PyTorch
  • TensorFlow
Where the posting names them
- Experience integrating closed-loop simulation engines (SIL/HIL) and synthetic scenario generation into AI retraining pipelines. - Strong programming proficiency in Python and C++. - Deep understanding of functional safety and safety-of-the-intended-functionality standards (ISO 26262, ISO 21448 / SOTIF) applied to deep learning systems.
- 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). Preferred Qualifications:
- 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).

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 619, the most 1,091, and the latest week had 863.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Job Description

As the Senior Principal Engineer – ADAS & AV Data Loop & AI Flywheel, you will spearhead the architectural strategy, design, and execution of the end-to-end continuous data engine powering Bosch XC’s L2+ ADAS and autonomous driving stacks (e.g., driving, parking, interior sensing) across entry, mid, and high-tier vehicle platforms.

You will serve as the chief technical authority driving the software, data loop, and MLOps machinery that automatically ingests raw fleet logs, curates high-value edge cases, auto-labels datasets, retrains deep learning models, and validates releases for embedded automotive platforms.

Key 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 (data engineering, cloud infrastructure, embedded runtime SOC teams) to define, drive, and scale the integrated AI machinery ecosystem.
  • Establish a rapid-evaluation development framework that accelerates the benchmarking, active learning selection, and continuous integration of emerging multimodal E2E AI solutions (e.g., Transformers, Occupancy Networks, Vision-Language models).
  • Guide the transition of raw fleet log data and research prototypes into scalable, production-grade training and auto-labeling pipelines, ensuring runtime performance optimization on automotive-grade hardware.
  • Leverage prior industry experience launching AI-based L2+ systems to implement automated validation workflows, scenario-based testing (SIL/HIL), and continuous feedback loops aligned with automotive safety standards (ISO 26262, ISO 21448 / SOTIF).
  • 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.

Qualifications

Basic 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).

Preferred Qualifications:

  • Hands-on experience developing offline high-precision auto-labeling frameworks (utilizing multimodal foundation models, 3D perception fusion, or generative AI engines).
  • Experience integrating closed-loop simulation engines (SIL/HIL) and synthetic scenario generation into AI retraining pipelines.
  • Strong programming proficiency in Python and C++.
  • Deep understanding of functional safety and safety-of-the-intended-functionality standards (ISO 26262, ISO 21448 / SOTIF) applied to deep learning systems.
  • Exceptional technical leadership, mentoring skills, and cross-functional communication abilities.

Additional Information

The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process.

In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits.

Equal Opportunity Employer, including disability / veterans   

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. 

#LI-JM1

Company Description

We Are Bosch.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.

Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch 

  • Reinvent yourself: At Bosch, you will evolve.
  • Discover new directions: At Bosch, you will find your place.
  • Balance your life: At Bosch, your job matches your lifestyle.
  • Celebrate success: At Bosch, we celebrate you.
  • Be yourself: At Bosch, we value values.
  • Shape tomorrow: At Bosch, you change lives.

“Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move, and at Bosch, we are working on making this future a reality. We are growing our team to build next-generation ADAS and autonomous driving platforms, and we are looking for senior electrical and system integration engineers to define, build, and scale our vehicle platform hardware.

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    Pay
    Additional Information The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits.
    Location & working pattern

    Sunnyvale, CA, United States

    Working pattern and location restrictions need checking in the full posting.

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