Job Description

• Conduct research and engineering 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.
• Push the boundaries in (modular) end-to-end perception and planning for ADAS/AD, incorporating advancements in reinforcement learning, simulation and world models to aid generalizability.
• 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.

Qualifications

Basic Qualifications

• Ph.D. in Computer Science, Robotics or a related discipline or Master’s degree with >= 1 / 3 years 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 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).

Preferred Qualifications

• Industry experience with building E2E systems and world models for ADAS development.
• Experience in motion planning algorithms for autonomous systems and understanding of probabilistic reasoning and decision-making algorithms.
• 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.
• A strong portfolio of publications in premier machine learning, deep learning, robotics and computer vision journals and conferences.

Additional Information

We offer a competitive base salary for this position with a range in US-California of --$160,000 - $200,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the 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.

Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process.

Learn more about our full benefits offerings by visiting: https://www.myboschbenefits.com/public/welcome.

Equal Opportunity Employer, including disability / veterans.

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*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.