Principal Research Scientist- End-to-End Autonomous Systems

Bosch Group

Principal Research Scientist- End-to-End Autonomous Systems

Sunnyvale, CA
Full Time
Paid
  • Responsibilities

    Job Description

    As a Technical Lead specializing in end-to-end autonomous systems, you drive innovation at the forefront of technology. You will lead research and engineering efforts to develop next-generation AI systems for applications in automated driving, industrial automation, and embodied AI. Key responsibilities include:

    • Lead research and development in end-to-end trained autonomous systems, spanning from perception to planning, incl. vision-language-action models to enable embodied intelligence across domains such as ADAS/AD, robotics, and industrial automation.
    • Advance perception, planning, reasoning and behavior capabilities by guiding data curation efforts and developing large-scale vision-language-action models, enhancing reasoning, explainability, and open-world understanding.
    • Architect and implement scalable solutions, translating cutting-edge research into robust, real-world systems within Bosch’s platforms.
    • Collaborate cross-functionally with global research and engineering teams to ensure seamless technology transfer and system integration.
    • Stay at the forefront of innovation by actively engaging with academic and industry communities through conferences, workshops, and technical events.
    • Contribute to intellectual property through high-impact publications and patent submissions, shaping the future of autonomous systems.
  • Qualifications

    Qualifications

    Basic Qualifications

    • Ph.D. in Computer Science with >= 3 years industry experience after graduation.
    • A minimum of 5 years of R&D experience, or an equivalent graduate research background, primarily in AI technologies including Computer Vision, Automotive Motion, Behavioral Planning, etc.
    • A minimum of 3 years of Technical Leadership experience
    • Proficiency in one or more programming languages commonly used in machine learning (e.g., Python, C++, Rust) and major machine learning frameworks like PyTorch
    • Hands-on experience in computer vision and deep learning, with a strong focus on at least two of the following areas: (modular) end-to-end planners (one-stage or two-stage), multimodal transformers or VLMs, diffusion models, Vision-Language-Action models, world models, sensor calibration, autonomous driving, behavior modeling / prediction.
    • Strong interpersonal, communication, and teamwork capabilities.
    • Industry experience in building (modular) E2E AI systems in ADAS/AD.

    Preferred Qualifications

    • Publication record in top venues including CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, SIGGRAPH, TVCG.
    • Experience in real-world deployment and continuous development of autonomous systems, including benchmarking, road testing, closed loop simulation etc.
    • Experience in working with hardware systems including sensors such as cameras, depth sensors, IMU, LIDAR, etc.
    • Strong background in math and statistics.

    Additional Information

    Your well-being matters at Bosch! We offer a competitive compensation and 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. We're investing in your success!

    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.

    The U.S. base salary range for this full-time position is $215,000 - $270,000. 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. Your Recruiter can share more details about the specific salary range for this position during the interview process.

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