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

Bosch Group • Sunnyvale, CA

6h • $165,000 - $185,000 • Onsite

About The Position

The Bosch Research and Technology Center North America (RTC-NA), part of the global Bosch Group, focuses on technologies and system solutions in artificial intelligence, energy, internet, circuit design, semiconductors, wireless, and advanced MEMS design. The AI research in Silicon Valley specifically works on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, and Time-series Analysis. They develop scalable, intelligent, and trustworthy AIoT solutions for various Bosch products and services, including automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home, and building solutions. The Intelligent Autonomous Systems group is dedicated to enabling future autonomous Bosch products through innovations in automated driving, ADAS, robotics, and automation. This includes developing methods for motion planning, high-level task planning, decision-making, and building frameworks for reliable distributed computing. The group collaborates with Bosch business units and actively engages with academia and industry, publishing research findings in renowned conferences and journals. As a Research Scientist / Engineer for End-to-End Planning in Autonomous Systems, you will contribute to cutting-edge research projects in the ADAS/AD industry.

Requirements

• 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).

Nice To Haves

• 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 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.

Responsibilities

• 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 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.

Benefits

• Competitive base salary for this position with a range in US-California of $165,000 - $185,000
• Annual corporate bonus
• Long-term incentive bonus designed to reward sustained impact and contribution over time
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree