Research Scientist- Robotics AI
Primary stack
Job description
About the Position
Research Scientist- Robotics AI
As a Research Scientist- Robotics AI, you will contribute to research projects at the forefront of the ADAS/AD industry. Your role will involve conducting research and engineering in core AI and machine learning fields to enable Embodied AI for related business domains of ADAS/AD, industrial automation, robotics, etc.
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 AI-based Robotics, 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.
Requirements
-
Basic Qualifications
- Ph.D. in Computer Science, Robotics, or a related discipline or Master's degree with >= 2 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).
- A strong portfolio of publications in premier machine learning, deep learning, robotics, and computer vision journals and conferences.
-
Preferred Qualifications
- 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.
We Offer
- Competitive base salary in the range of $165,000 - $185,000 along with an annual corporate bonus and a long-term incentive bonus designed to reward sustained impact and contribution over time.
- 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.
About the Company
The Bosch Research and Technology Center North America (RTC-NA) is a part of the global Bosch Group, a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The RTC-NA is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors, and wireless, as well as advanced MEMS design.
Our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home, and building solutions.
Job Location
- Sunnyvale, California
- Pittsburgh, Pennsylvania
- Cambridge, Massachusetts
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.
#LI-JM1
© Bosch Rexroth. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.