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Top Entry Level Robotics Jobs in San Francisco, CA

13+ Job Results
5 Days Ago
San Jose, CA, USA
22,000 Employees
88K-198K Annually
3-5 Years of Experience
22,000 Employees
88K-198K Annually
3-5 Years of Experience
Cloud • Enterprise Web • Hardware • Information Technology • Internet of Things • Robotics • Semiconductor
The STA Engineer is responsible for managing static timing analysis, ECO generation at top levels, and handling functional constraints. They should have experience in Synthesis and Power Analysis, along with automation skills using Perl, Tcl, Awk, and Python. The role includes providing guidance to Junior Engineers and requires good communication skills.
Top Benefits:
401-K
401-K Matching
Child Care Benefits
+34 More
11 Minutes Ago
Sunnyvale, CA, USA
86 Employees
1-3 Years of Experience
86 Employees
1-3 Years of Experience
Artificial Intelligence • Robotics • Automation • Manufacturing
Work as a Humanoid Robot Pilot at an AI Robotics company in Sunnyvale, CA. Responsibilities include guiding the robot through behaviors, uploading data to AI training system, and maintaining a safe environment. Ideal candidates have physical coordination, spatial awareness, and the ability to master new tasks quickly. Bonus qualifications include experience with robots and a passion for deploying learning humanoid robots.
8 Days Ago
San Francisco, CA, USA
34 Employees
3-5 Years of Experience
34 Employees
3-5 Years of Experience
Artificial Intelligence • Food • Robotics
As a Supply Chain Manager at Chef Robotics, you will lead sourcing and tracking of hardware and machine parts, manage supplier evaluation, liaise with cross-functional teams for service schedules, and oversee inventory management and product QA.
21 Days Ago
Mountain View, CA, USA
927 Employees
167K-251K Annually
1-3 Years of Experience
927 Employees
167K-251K Annually
1-3 Years of Experience
Artificial Intelligence • Automotive • Information Technology • Robotics
The Senior Software Engineer, ML Infra at Nuro will design and build scalable machine learning infrastructure. Tasks include developing distributed training frameworks, optimizing performance of TensorFlow, Keras, and PyTorch, and monitoring model training performance for efficiency and troubleshooting.
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