Job Description

As a Lead Research Scientist specializing in Generative AI for 3D Computer Vision, drive innovation at the intersection of GenAI and spatial perception. 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 generative AI and 3D computer vision to enable embodied intelligence across domains such as ADAS/AD, robotics, and industrial automation.
• Advance 3D perception capabilities by integrating 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 generative 3D AI technologies.

Qualifications

Basic Qualifications

• Ph.D. in Computer Science with minimum 3 years industry experience after graduation.
• 1+ years of R&D experience, or an equivalent graduate research background, primarily in AI technologies including 3D Computer Vision, Automotive Motion, Behavioral Planning, etc.
• 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: multimodal transformers or VLMs, multimodal language models, diffusion models, NeRF or gaussian splatting, VLA modeling, 3D scene understanding, sensor calibration, autonomous driving, SfM, behavior modeling / prediction, voxel/BEV grid-based feature representation.
• Strong interpersonal, communication, and teamwork capabilities.

Preferred Qualifications

• Publication record in top venues including CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, SIGGRAPH, TVCG.
• Industry experience with building E2E systems and world models for ADAS development.
• Experience in working with hardware systems including sensors such as cameras, depth sensors, IMU, LIDAR, etc.
• Strong background in math and statistics.
• Able to work independently, has strong research and problem-solving skills.
• Good communication and teamwork skills

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 $180,000 - $ 210,000. 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.

\ #LI-JM1