Bosch Home Comfort USA · 1 day ago
Research Engineer- End-to-End Planning in Autonomous Systems
Bosch Home Comfort USA is seeking a Research Engineer for End-to-End Planning in Autonomous Systems to contribute to research projects at the forefront of the ADAS/AD industry. The role involves conducting research in AI and machine learning fields, collaborating with global teams, and implementing research results to solve real-world challenges.
IndustrialManufacturing
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
Qualification
Required
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
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
Benefits
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
Emergency travel assistance services
Zero landfill standard
Associate discounts
Bosch dining areas
Business travel accident insurance
Language class
Will preparation service
Employee Assistance Program (EAP)
Game and music room
Social and hobby clubs
Smart work model
Parking & pool cars / e-Bikes
Wellness incentives
Company
Bosch Home Comfort USA
Bosch Home Comfort is a leading source of high-quality heating, cooling and hot water systems.
H1B Sponsorship
Bosch Home Comfort USA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (2)
2023 (7)
2022 (4)
2021 (2)
2020 (3)
Funding
Current Stage
Late StageRecent News
2025-09-23
2024-11-27
Company data provided by crunchbase