A
Senior Physical AI Engineer
Autzu
1 hour ago
Full-time
On-site
San Francisco, California, United States
Build the Digital Twin, Simulation, and Physical AI Systems Behind Autonomous Robotics
Autzu is building autonomous operations infrastructure where vehicles, robots, equipment, and software work together with minimal human intervention.
We’re looking for a
Senior Physical AI Engineer
to build the simulation, digital twin, perception, and learning systems that allow our robotics platform to understand and interact with the physical world.
This role sits at the intersection of robotics, computer vision, simulation, machine learning, and Physical AI.
About the Role You’ll build digital representations of our hubs, vehicles, robotics systems, and equipment, develop physics-based simulations, generate synthetic data, train and evaluate robot models and policies, and bridge those systems into real-world deployment.
You’ll also develop the perception systems that allow robots to understand vehicles, objects, geometry, and their physical environment.
What You’ll Do
Build digital twins of hubs, vehicles, robots, and equipment
Develop physics-based robot, environment, and sensor simulations
Create scenario-generation systems for robotic testing and training
Develop camera, depth, and LiDAR perception systems
Build 3D understanding, localization, and pose-estimation capabilities
Train and evaluate robot models and policies
Apply reinforcement learning and imitation learning
Use domain randomization to improve robustness and generalization
Develop sim-to-real workflows and validation methodologies
Build Physical AI systems for robotic interaction
Deploy perception and learned models onto robotic and edge platforms
Work closely with systems, software, and robotics engineers
Participate directly in physical testing and robotics pilot deployments
Minimum Qualifications
5+ years of experience in robotics perception, simulation, computer vision, Physical AI, autonomous systems, or related fields
Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Computer Engineering, Artificial Intelligence, or a related field
Strong Python and/or C++ experience
Strong experience with PyTorch or similar ML frameworks
Strong computer vision background
Experience with camera, depth, or LiDAR-based perception
Experience with 3D geometry and pose estimation
Experience with ROS2
Experience with simulation environments for robotics or autonomous systems
Experience taking models from simulation into physical or production systems
Experience deploying perception or AI onto real robotic systems
Ability to work full-time on-site in the Bay Area
Comfortable working in an early-stage startup environment
Preferred Qualifications
Master’s or Ph.D. in Robotics, Computer Vision, Machine Learning, AI, or Autonomous Systems
Experience with NVIDIA Omniverse
Experience with Isaac Sim
Experience with Isaac Lab or Isaac ROS
Experience with Cosmos or GR00T
Experience with Replicator or OpenUSD
Experience generating synthetic data for robotics
Experience with reinforcement or imitation learning
Experience with CUDA or TensorRT
Experience in autonomous vehicles, robotics, industrial automation, or mobility
Experience building sim-to-real robotics systems
Build the simulation and Physical AI foundation from the ground up
Work directly with our CTO and founding robotics team
Build digital twins tied directly to real-world hub operations
Train intelligence that eventually operates physical machines
Take systems from simulation to real-world deployment
Help launch our first robotics pilot hub
Own a major portion of Autzu’s Physical AI roadmap
Grow into broader technical leadership as the organization scales
If you want to move AI out of the screen and into machines operating in the physical world, we’d love to meet you.
#J-18808-Ljbffr
Autzu is building autonomous operations infrastructure where vehicles, robots, equipment, and software work together with minimal human intervention.
We’re looking for a
Senior Physical AI Engineer
to build the simulation, digital twin, perception, and learning systems that allow our robotics platform to understand and interact with the physical world.
This role sits at the intersection of robotics, computer vision, simulation, machine learning, and Physical AI.
About the Role You’ll build digital representations of our hubs, vehicles, robotics systems, and equipment, develop physics-based simulations, generate synthetic data, train and evaluate robot models and policies, and bridge those systems into real-world deployment.
You’ll also develop the perception systems that allow robots to understand vehicles, objects, geometry, and their physical environment.
What You’ll Do
Build digital twins of hubs, vehicles, robots, and equipment
Develop physics-based robot, environment, and sensor simulations
Create scenario-generation systems for robotic testing and training
Develop camera, depth, and LiDAR perception systems
Build 3D understanding, localization, and pose-estimation capabilities
Train and evaluate robot models and policies
Apply reinforcement learning and imitation learning
Use domain randomization to improve robustness and generalization
Develop sim-to-real workflows and validation methodologies
Build Physical AI systems for robotic interaction
Deploy perception and learned models onto robotic and edge platforms
Work closely with systems, software, and robotics engineers
Participate directly in physical testing and robotics pilot deployments
Minimum Qualifications
5+ years of experience in robotics perception, simulation, computer vision, Physical AI, autonomous systems, or related fields
Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Computer Engineering, Artificial Intelligence, or a related field
Strong Python and/or C++ experience
Strong experience with PyTorch or similar ML frameworks
Strong computer vision background
Experience with camera, depth, or LiDAR-based perception
Experience with 3D geometry and pose estimation
Experience with ROS2
Experience with simulation environments for robotics or autonomous systems
Experience taking models from simulation into physical or production systems
Experience deploying perception or AI onto real robotic systems
Ability to work full-time on-site in the Bay Area
Comfortable working in an early-stage startup environment
Preferred Qualifications
Master’s or Ph.D. in Robotics, Computer Vision, Machine Learning, AI, or Autonomous Systems
Experience with NVIDIA Omniverse
Experience with Isaac Sim
Experience with Isaac Lab or Isaac ROS
Experience with Cosmos or GR00T
Experience with Replicator or OpenUSD
Experience generating synthetic data for robotics
Experience with reinforcement or imitation learning
Experience with CUDA or TensorRT
Experience in autonomous vehicles, robotics, industrial automation, or mobility
Experience building sim-to-real robotics systems
Build the simulation and Physical AI foundation from the ground up
Work directly with our CTO and founding robotics team
Build digital twins tied directly to real-world hub operations
Train intelligence that eventually operates physical machines
Take systems from simulation to real-world deployment
Help launch our first robotics pilot hub
Own a major portion of Autzu’s Physical AI roadmap
Grow into broader technical leadership as the organization scales
If you want to move AI out of the screen and into machines operating in the physical world, we’d love to meet you.
#J-18808-Ljbffr