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Computer programming • san jose ca
Technical Lead - GenAI for 3D Computer Vision
Bosch GroupSunnyvale, California, United Statestutor - C# programming
BUKISan Jose, CA, USComputer hardware assembler
EmploynetSan Jose, CA, USMachine Learning Engineer - Robotics and Computer Vision
IntuitiveSunnyvale, US- Promoted
Research Scientist, Computer Vision
Tik TokSan Jose, CA, United States- Promoted
Computer Engineering Lecturer Pool
InsideHigherEdSan Jose, California, United StatesComputer Repair Technician
CellairisCupertino, CaliforniaComputer Scientist
AdobeSan JoseComputer Engineering Lecturer Pool
The California State UniversitySan JoséDeveloper 2, Programming
Western DigitalSan Jose, California, United States- Promoted
Research Scientist - Computer Vision
Institute of Foundation ModelsSunnyvale, CA, United StatesResearch Engineer, Computer Vision
TikTokSan JoseComputational Photography / Computer Vision Machine Learning Engineer
Apple Inc.Cupertino, CA, United States- Promoted
- New!
Computer Science Tutor
C2 EDUCATIONAL SYSTEMS INCMilpitas, CA, United StatesComputer Software System Architect
CelesticaSan Jose, CA, US- Promoted
Computer / IT
TradeJobsWorkForce95139 San Jose, CA, USCOMPUTER SCIENCE
Santa Rosa Junior CollegeSonoma County, CACommunity & Virtual Programming Coordinator
Project Access IncSan Jose, California, United States, 95117The average salary range is between $ 57,000 and $ 88,547 year , with the average salary hovering around $ 59,280 year .
- american sign language interpreter (from $ 70,941 to $ 551,925 year)
- investment banker (from $ 144,400 to $ 249,600 year)
- cardiothoracic surgeon (from $ 174,600 to $ 248,150 year)
- forensic pathologist (from $ 135,000 to $ 244,941 year)
- director of software engineering (from $ 183,000 to $ 240,000 year)
- psychiatrist (from $ 50,000 to $ 240,000 year)
- radiologist (from $ 57,103 to $ 238,613 year)
- chief investment officer (from $ 155,794 to $ 235,505 year)
- engineering director (from $ 151,059 to $ 235,000 year)
- product director (from $ 164,997 to $ 235,000 year)
- Los Angeles, CA (from $ 53,786 to $ 180,763 year)
- Providence, RI (from $ 86,526 to $ 171,600 year)
- Pompano Beach, FL (from $ 31,200 to $ 135,971 year)
- Long Beach, CA (from $ 31,200 to $ 135,971 year)
- Huntington Beach, CA (from $ 31,200 to $ 135,971 year)
- Coral Springs, FL (from $ 22,800 to $ 135,500 year)
- Austin, TX (from $ 53,625 to $ 135,500 year)
- Virginia Beach, VA (from $ 31,200 to $ 133,799 year)
- St Petersburg, FL (from $ 23,400 to $ 132,600 year)
- St Louis, MO (from $ 23,400 to $ 132,600 year)
The average salary range is between $ 48,417 and $ 106,314 year , with the average salary hovering around $ 61,564 year .
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Technical Lead - GenAI for 3D Computer Vision
Bosch GroupSunnyvale, California, United States- Full-time
The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models,Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Big Data Visual Analytics, Explainable AI (XAI), Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.
Originating from the AI research in Silicon Valley, our
- Foundation Model Powered AI Enablers
- group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, SIGGRAPH, TVCG.
- Job Description
- Lead research and development
- in generative AI and 3D computer vision to enable embodied intelligence across domains such as ADAS / AD, robotics, and industrial automation.
- Advance 3D perception capabilities
- by integrating large-scale vision-language-action models, enhancing reasoning, explainability, and open-world understanding.
- Architect and implement scalable solutions
- , translating cutting-edge research into robust, real-world systems within Bosch’s platforms.
- Collaborate cross-functionally
- with global research and engineering teams to ensure seamless technology transfer and system integration.
- Stay at the forefront of innovation
- by actively engaging with academic and industry communities through conferences, workshops, and technical events.
- Contribute to intellectual property
- through high-impact publications and patent submissions, shaping the future of generative 3D AI technologies.
- Qualifications
- Basic Qualifications
- Ph.D. in Computer Science with >
- A minimum of 5 years of R&D experience, or an equivalent graduate research background, primarily in AI technologies including 3D Computer Vision, Automotive Motion, Behavioral Planning, etc.
- A minimum of 3 years of Technical Leadership experiences
- Proficiency in one or more programming languages commonly used in machine learning (e.g., Python, C++, Rust) and major machine learning frameworks like PyTorch
- Hands-on experience in computer vision and deep learning, with a strong focus on at least two of the following areas : multimodal transformers or VLMs, multimodal language models, diffusion models, NeRF or gaussian splatting, VLA modeling, 3D scene understanding, sensor calibration, autonomous driving, SfM, behavior modeling / prediction, voxel / BEV grid-based feature representation.
- Strong interpersonal, communication, and teamwork capabilities.
- Preferred Qualifications
- Publication record in top venues including CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, SIGGRAPH, TVCG.
- Industry experience with building E2E systems and world models for ADAS development.
- Experience in working with hardware systems including sensors such as cameras, depth sensors, IMU, LIDAR, etc.
- Strong background in math and statistics.
- Able to work independently, has strong research and problem-solving skills.
- Good communication and teamwork skills.
- Additional Information
- 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.
As a Technical Lead specializing in Generative AI for 3D Computer Vision, drive innovation at the intersection of GenAI and spatial perception. Lead research and engineering efforts to develop next-generation AI systems for applications in automated driving, industrial automation, and embodied AI. Key responsibilities include :
= 3 years industry experience after graduation.
Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success!
The U.S. base salary range for this full-time position is $215,000 - $270,000. 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.
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