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Research Engineer- Advanced Driver Assistance Systems; ADAS

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Bosch Home Comfort USA
Full Time position
Listed on 2026-02-28
Job specializations:
  • Engineering
    AI Engineer, Systems Engineer, Robotics
Salary/Wage Range or Industry Benchmark: 162000 - 180000 USD Yearly USD 162000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Research Engineer- Advanced Driver Assistance Systems (ADAS)

Overview

Research Engineer
- Advanced Driver Assistance Systems (ADAS) ation:
Sunnyvale, CA. Hybrid work arrangement: 60% on-site, Tuesday, Wednesday, Thursday. Job posting date: . Legal entity:
Robert Bosch LLC.

Responsibilities
  • Perform engineering tasks to support research in core AI and machine learning fields to enable Embodied AI for ADAS/AD, industrial automation, robotics, and related business domains. This includes developing and training AI-planners (using imitation and reinforcement learning), data preparation (auto-labeling, filtering, etc.), integrating models into a system context, setting up evaluation and benchmarking pipelines, creating demonstrations and visualizations, and more.
  • Support the team in pushing the boundaries in modular end-to-end perception and planning for ADAS/AD, and large vision-language-(action) models.
  • Collaborate with a global team to transfer cutting-edge research findings to Bosch  operational units.
  • Implement research results to solve real-world challenges, ensuring high-quality system integration within Bosch  existing platforms.
  • Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars.
  • Document and disseminate research findings through publications and/or patent submissions.
Your profile

Basic Qualifications
  • Master  degree in computer science, robotics or a related discipline or undergraduate degree with at least 2 years of industry experience after graduation.
  • A minimum of 2 years of R&D experience, or an equivalent graduate research background, in AI technologies including Computer Vision and Robotic or Automotive Motion and Behavioral Planning.
  • Proficiency in one or more programming languages used in machine learning (e.g., Python, C++, Rust).
  • Strong software engineering competencies.
  • Strong interpersonal, communication, and teamwork capabilities.
  • Knowledge of major machine learning frameworks like Tensor Flow or PyTorch.
  • Hands-on experience in reinforcement learning for behavior or motion planning and familiarity with common RL techniques (e.g. PPO, DQN, DDPG).
Preferred Qualifications
  • 1 year industry experience in relevant fields after graduation.
  • Experience with real-world product development and deployment of autonomous systems.
  • Hands-on experience building, training and applying multimodal transformer-based sequence-to-sequence models, especially multimodal vision-language-action models.
  • Hands-on experience in computer vision and deep learning, with work in multimodal transformers, multimodal language models, diffusion models, NeRF, gaussian splatting, object detection / segmentation, 3D scene understanding, sensor calibration, SfM, voxel/BEV grid-based feature representation.
Contact & additional information

We offer a competitive base salary in California in the range $162,000 - $180,000, plus annual corporate bonus and long-term incentive. Salary within the range is determined by experience, knowledge, role complexity, and location.

Benefits include premium health coverage, a 401(k) with generous matching, paid time off, parental leave, life and disability protection, and more. Further details available from the Recruiter during the interview process.

Equal Opportunity Employer, including disability and veterans.

Equal Opportunity & compliance
  • Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon successful completion of a drug screen and background check.

Welcome to Bosch! We look forward to exploring open opportunities and your potential fit with our teams.

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