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Research Engineer- Advanced Driver Assistance Systems (ADAS)

https://www.bosch.pl/ Logo

Robert Bosch Sp. z o.o.

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Location:
United States , Sunnyvale

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

162000.00 - 180000.00 USD / Year
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Job Description:

As a Research Engineer for ADAS AI Systems, you contribute to research projects at the forefront of the ADAS/AD industry.

Job Responsibility:

  • Perform engineering tasks to support research in core AI and machine learning fields to enable Embodied AI (including computer vision, autonomous planning, open-world learning, and so on) for related business domains of ADAS/AD, industrial automation, robotics etc. These tasks include the development and training of AI-planners (using imitation and reinforcement learning), data-preparation tasks (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's operational units
  • Implement research results to solve real-world challenges, ensuring high-quality system integration within Bosch's 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 high-caliber publications and/or patent submissions

Requirements:

  • Master’s 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, primarily in AI technologies including Computer Vision and Robotic or Automotive Motion and Behavioral Planning
  • Proficiency in one or more programming languages commonly 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 TensorFlow or PyTorch
  • Hands-on experience in reinforcement learning for behavior or motion planning or other applicable contexts and familiarity with common RL techniques (e.g. PPO, DQN, DDPG)

Nice to have:

  • 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 any of the following areas: 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
What we offer:
  • Premium health coverage
  • 401(k) with generous matching
  • Resources for financial planning and goal setting
  • Ample paid time off
  • Parental leave
  • Comprehensive life and disability protection
  • Annual corporate bonus
  • Long-term incentive bonus

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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