Physical AI Engineering - San Francisco
21 hours ago
Job description
Company DescriptionTSR specializes in building trust, creating opportunities, and forming lasting partnerships that fuel personal and professional growth.
With over 50 years of staffing experience, TSR provides results-driven talent solutions across diverse industries, backed by expert knowledge and cutting-edge technology.
The company prides itself on a rigorous vetting process, ensuring the right candidates are connected to the right roles, fostering long-term success.
Recently acquired by BC Forward, a global leader in professional services, TSR is now positioned to offer an even broader range of opportunities and innovative workforce solutions to help businesses grow and scale.
Role DescriptionThis is a full-time on-site role for a Physical AI Engineering & Strategy/Robotics Software Engineer, based in the San Francisco Bay Area.
The role involves designing, developing, and testing robotics systems, applying advanced AI algorithms, and optimizing performance for various applications.The engineer will collaborate across multidisciplinary teams, engage in strategic planning for AI-driven robotics solutions, and drive innovation in robotics software development while ensuring adherence to best practices and technical standards.
QualificationsThis role requires hands-on expertise programming Unitree robot dogs and humanoids, along with strong experience in the NVIDIA Omniverse / Isaac ecosystem.
The team is building advanced AI labs and developing scalable physical AI demos that integrate robotics, digital twins, simulation, and real-world deployment.
Experience with ROS, computer vision, reinforcement learning, and robotics system design is highly valued.This is a highly specialized engagement offering strong visibility, innovation exposure, and competitive compensation. If you have experience with Unitree platforms and NVIDIA Omniverse, I'd love to connect and discuss further.
We are specifically seeking professionals with 3–6 years of hands-on experience in Robotics, Digital Twin, and Computer Vision / Deep Learning / Reinforcement Learning, along with strong programming expertise in Python, C++, or Java.
This role requires proven experience integrating software and hardware in scalable AI systems, working with ROS and simulation platforms such as NVIDIA Isaac Sim / Omniverse, and deep familiarity with the broader NVIDIA ecosystem.
Ideal candidates will have strong knowledge of robotic systems (kinematics, dynamics, control algorithms, sensor integration such as LIDAR and cameras), experience building and maintaining digital twin models, and proficiency with ML frameworks like TensorFlow or PyTorch.
Exposure to DevOps tools (Git, Azure DevOps), Agile methodologies, and strong client-facing communication skills are also important.Experience with advanced robotics research, control systems (PID, state-space), motion/path planning, Hardware-in-the-loop testing, or emerging areas such as Agentic AI / Generative AI would be a strong plus.
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