Research Engineer- End-to-End Planning in Autonomous Systems

Research Engineer – End-to-End Planning in Autonomous Systems

Location:

Sunnyvale, CA (Hybrid – 60% on-site, Tuesday, Wednesday, Thursday)

Posted:  | Job A

Fields of work:
Research & Development

• Conduct research and engineering in core AI and machine learning fields to enable Embodied AI (including computer vision, autonomous planning, open‑world learning, and related domains of ADAS/AD, industrial automation, robotics).
• Push the boundaries in modular end‑to‑end perception and planning for ADAS/AD, incorporating advancements in large vision‑language‑(action) models to aid reasoning capabilities and explainability.
• Collaborate cross‑functionally with global research and engineering teams to ensure seamless technology transfer and system integration.
• Implement research results to solve real‑world challenges, ensuring high‑quality system integration within Bosch's existing platforms.
• Stay at the forefront of innovation by actively engaging with academic and industry communities through conferences, workshops, and technical events.
• Document and disseminate research findings through high‑caliber publications and/or patent submissions.

• Ph.D. in Computer Science, Robotics or a related discipline, or Master's degree with ≥ 1–3 years of industry experience after graduation.
• A minimum of 3 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 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 or other applicable contexts and familiarity with common RL techniques (e.g., PPO, DQN, DDPG).

• Experience with real‑world product development and deployment of autonomous systems.
• Hands‑on experience building 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 areas such as 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.
• A strong portfolio of publications in premier machine learning, deep learning, robotics and computer vision journals and conferences.

Competitive base salary for this position with a range in US-California of $165,000 - $185,000, an annual corporate bonus, and a long‑term incentive bonus designed to reward sustained impact and contribution over time. Salary within the range is determined by experience, job knowledge, role complexity, and location.

Benefits include premium health coverage, a 401(k) with generous matching, financial planning resources, paid time off, parental leave, comprehensive life and disability protection, and more.

Bosch is an Equal Opportunity Employer, including for disability and veterans. Employment is contingent upon the successful completion of a drug screen and background check.