Senior Research Scientist / Engineer for End-to-End Autonomous Systems
Seni bu rolde neler bekliyor?
- 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 AIoT (AI+IoT) business domains of autonomous driving, industrial automation, robotics etc.
- Push the boundaries in (modular) end-to-end perception and planning for automated driving, incorporating advancements in large vision-language-(action) models to aid reasoning capabilities and explainability.
- 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.
Nasıl birini arıyoruz? Required Qualifications:
- Ph.D. in Computer Science, Robotics or a related discipline or Master’s degree with +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 computer vision and deep learning, with work in at least two of the following areas: multimodal transformers, multimodal language models, diffusion models, NeRF, gaussian splatting, object detection / segmentation, 3D scene understanding, sensor calibration, autonomous driving, SfM, voxel/BEV grid-based feature representation.
- Industry experience with building E2E systems and world models for ADAS development.
Preferred Qualifications:
- A strong portfolio of publications in premier machine learning, deep learning, robotics and computer vision journals and conferences.
- Experience with real-world product development and deployment of autonomous systems.
- Experience in motion planning algorithms for autonomous systems and understanding of probabilistic reasoning and decision-making algorithms.
- Experience with sensor fusion, (visual) localization, and mapping algorithms.
Required Qualifications:
- Ph.D. in Computer Science, Robotics or a related discipline or Master’s degree with +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 computer vision and deep learning, with work in at least two of the following areas: multimodal transformers, multimodal language models, diffusion models, NeRF, gaussian splatting, object detection / segmentation, 3D scene understanding, sensor calibration, autonomous driving, SfM, voxel/BEV grid-based feature representation.
- Industry experience with building E2E systems and world models for ADAS development.
Preferred Qualifications:
- A strong portfolio of publications in premier machine learning, deep learning, robotics and computer vision journals and conferences.
- Experience with real-world product development and deployment of autonomous systems.
- Experience in motion planning algorithms for autonomous systems and understanding of probabilistic reasoning and decision-making algorithms.
- Experience with sensor fusion, (visual) localization, and mapping algorithms.
İletişim ve ek bilgiler
The U.S. base salary range for this full-time position is $ 160,000 - $ 200,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your Recruiter can share more details about the specific salary range for this position during the interview process.
In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits.
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.
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