Bosch USA · 2 days ago
Research Engineer- End-to-End Planning in Autonomous Systems
Sunnyvale, CA
Full-time
Onsite
Mid, Senior Level
$165K/yr - $185K/yr
3+ years expBosch USA is a global leader in technology and services, focusing on innovative solutions across various sectors. The Research Engineer for End-to-End Planning in Autonomous Systems will conduct cutting-edge research in AI and machine learning to enhance autonomous driving systems, collaborating with global teams and implementing real-world applications.
EnergyRenewable EnergyHuman ResourcesStaffing Agency
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
Company
Bosch USA
The Bosch Group’s strategic objective is to create solutions for a connected life.
10001+ employees
H1B Sponsorship
Bosch 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
2021 (1)
2020 (9)
Funding
Current Stage
Late StageLeadership Team
Ulrike "Uli" Jaschek
CEO- Bosch Automotive Workshop Services LLC
Manuel Dietz
VP Bosch Digital | Regional CIO Americas
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