Research Scientist for Distributed Intelligent Systems
Research Scientist for Distributed Intelligent Systems
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Salary Not Disclosed
1 Vacancy
Job Description
- Conduct advanced research and engineering in reliable distributed systems especially using AI approaches to enable Cloud and Edge powered Embodied AI solutions for related AIoT (AIIoT) business domains of autonomous driving industrial automation robotics etc.
- Collaborate with a global team to transfer cuttingedge research findings to Boschs operational units.
- Collaborate with renowned university UC Berkeley on scalable and distributed autonomous systems research.
- Implement research results to solve realworld challenges ensuring highquality system integration within Boschs existing platforms.
- Stay abreast of the latest technological advancements and market trends by attending academic conferences technical events and seminars.
- Offer expert insights to the management team in relevant technology sectors aiding in strategic planning R&D trajectory and investment decisions.
- Document and disseminate research findings through highcaliber publications and/or patent submissions.
Qualifications :
Basic Qualifications
- Ph.D. in Computer Science Robotics or a related discipline or masters 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 AImotivated distributed system technologies and architectures including cloud computing parallel computing operating systems middleware frameworks realtime systems or network protocols.
- Proficiency in one or more programming languages commonly used in systems research (e.g. Rust C Python).
- Indepth experience with autonomous system architectures e.g. for autonomous driving or robotics.
- Handson experience with at least one automotive / robotic / general purpose middleware framework (e.g. AUTOSAR ROS2 Zenoh DDS).
Preferred Qualifications
- Experience with realworld product development and deployment of autonomous systems.
- A strong portfolio of publications in premier computer systems machine learning deep learning robotics computer vision journals and conferences.
- Familiarity with AI inferencing and training knowledge of major machine learning frameworks like TensorFlow or PyTorch.
- Experience in reliable and safe distributed function design.
- Experience developing and analyzing realtime and/or safetycritical systems.
- Experience with automotive safety (e.g. ISO 26262) and communication standards (e.g. V2X) and past participation in standardization efforts is a plus.
- Experience with automotive architecture design is a plus.
- Experience with object detection tracking and mapping approaches for robotic or automotive applications is a plus.
- Strong background in math and statistics is a plus.
- Strong interpersonal communication and teamwork capabilities.
Additional Information :
BOSCH is a proud supporter of STEM (Science Technology Engineering & Mathematics) Initiatives:
- FIRST Robotics (For Inspiration and Recognition of Science and Technology)
- AWIM (A World In Motion)
By choice we are committed to a diverse workforce EOE/Protected Veteran/Disabled.
For more information on our culture and benefits please visit:
Culture and Benefits Bosch in the USA
The U.S. base salary range for this fulltime position is $ 155000 $ 170000. 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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
