Research Engineer- Advanced Driver Assistance Systems (ADAS)

Bosch Group•Sunnyvale, CA

8h•$162,000 - $180,000

About The Position

As a Research Engineer for ADAS AI Systems, you contribute to research projects at the forefront of the ADAS/AD industry. Key responsibilities include: Perform engineering tasks to support research 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. These tasks include the development and training of AI-planners (using imitation and reinforcement learning), data-preparation tasks (auto-labeling, filtering, etc.), integrating models into a system context, setting up evaluation and benchmarking pipelines, creating demonstrations and visualizations and more. Support the team in pushing the boundaries in (modular) end-to-end perception and planning for ADAS/AD, and large vision-language-(action) models. Collaborate with a global team to transfer cutting-edge research findings to Bosch's operational units. Implement research results to solve real-world challenges, ensuring high-quality system integration within Bosch's existing platforms. Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars. Document and disseminate research findings through high-caliber publications and/or patent submissions.

Requirements

Master’s degree in computer science, robotics or a related discipline or undergraduate degree with at least 2 years of industry experience after graduation.
A minimum of 2 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 software engineering competencies.
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

1 year industry experience in relevant fields after graduation.
Experience with real-world product development and deployment of autonomous systems.
Hands-on experience building, training 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.

Responsibilities

Perform engineering tasks to support research 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.
Support the team in pushing the boundaries in (modular) end-to-end perception and planning for ADAS/AD, and large vision-language-(action) models.
Collaborate with a global team to transfer cutting-edge research findings to Bosch's operational units.
Implement research results to solve real-world challenges, ensuring high-quality system integration within Bosch's existing platforms.
Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars.
Document and disseminate research findings through high-caliber publications and/or patent submissions.