Robotics Engineer
DeepAware AI (Robotics Center of Silicon Valley)San Francisco, California, USposted just now
At a glance
Build and deploy full-stack robotic manipulation, navigation, and vision systems across a diverse fleet, connecting hardware and control software to real-time AI training and production deployments.
Summarized by AI from the original posting
What you'll do
- Design robotic manipulation and navigation systems
- Integrate vision systems for inspection, manipulation, and anomaly detection
- Connect robotics control with real-time data and AI/ML training pipelines
- Prototype, test, and refine robotic hardware and software
- Deploy systems across the robot fleet and customer sites
- Ensure reliability, safety, and scalability of robotics solutions
Requirements
- 01Full-stack robotics experience across software, hardware, and mechanical domains
- 02Experience taking systems from prototype to deployed across multiple subsystems
- 03Strong problem-solving skills
- 04Comfort working hands-on with real robots
- 05Experience with industrial robotics, teleoperation, or multi-robot fleets preferred
Perks
Skills
Full description
Robotics Center of Silicon Valley (DeepAware, Inc.), YC S25 and NVIDIA Inception, is building the full-stack robotics supply chain: hardware, data, AI training, and live deployment under one roof. Our San Francisco lab puts 60+ robot platforms within reach and powers one of the largest real-robot datasets anywhere. We're building the infrastructure layer for physical AI.
As a Robotics Engineer, you'll develop and integrate autonomous systems across our fleet and at customer deployment sites — building the "robotic hands" that turn our platforms and datasets into production-ready systems for enterprises and researchers.
Responsibilities
- Design robotic manipulation and navigation systems for constrained, high-density, real-world environments
- Integrate vision systems for automated inspection, manipulation, and anomaly detection
- Collaborate with AI/ML engineers to connect robotics control with real-time data and training pipelines
- Bring up, prototype, test, and refine robotic hardware and software across our multi-platform fleet and at pilot deployment sites
- Ensure the reliability, safety, and scalability of robotics solutions for continuous operation
Requirements
We're looking for a true full-stack roboticist who is fluent across software, hardware, and mechanical domains:
- Software: Proficiency with robotics frameworks such as ROS/ROS2, MoveIt, and OpenCV; strong control algorithms and the ability to iterate quickly in a startup environment
- Hardware: Hands-on experience with embedded systems, sensors, actuators, wiring, and robot bring-up and integration
- Mechanical: Working understanding of robot mechanics — arm kinematics, mounting and fixturing, end-effectors, and the physical assembly/debugging of real hardware
- Demonstrated experience taking systems end-to-end, from prototype to deployed, across multiple subsystems
- Strong problem-solving skills and comfort working hands-on with real robots
- 0–3 years of experience in robotics engineering, or a comparable track record of building and shipping — or current enrollment in a robotics, mechanical, electrical, or related engineering degree program for internship candidates
Nice-to-Have
- Experience with industrial robotics, teleoperation, or multi-robot fleets
- Computer vision model training and deployment
- Sensor fusion, path planning, and SLAM / autonomous navigation
- Experience across many robot platforms or hardware form factors
Location: San Francisco, CA (on-site at our lab)
Why Robotics Center?
You'll work hands-on with one of the largest concentrations of robot platforms anywhere, backed by YC and NVIDIA, building the infrastructure layer for physical AI. Your work will directly shape how enterprises and researchers access and deploy real robots — spanning the full stack from mechanical hardware to AI.
About DeepAware AI (Robotics Center of Silicon Valley)
DeepAware (Silicon Valley Robotics Center) builds the full stack for physical AI — spanning hardware, data, and training.
We source and ship robots and robotics parts across the US within 72 hours: humanoid robots, quadrupeds, robotic arms, tactile sensors, cameras, and dexterous hands. Beyond hardware, we help enterprises collect teleoperation data, build reinforcement learning environments, and deploy robots into production.
Our early customers include AI data centers, industrial operations, research labs, and event producers. We're solving real problems at the intersection of AI, robotics, and supply chain — and we're moving fast.
If you're excited about building the physical automation layer for the AI era, and want to work across software, hardware, and real-world deployment — you'll fit right in at DeepAware.
Compensation: $80K - $180K
Experience: Any (new grads ok)