About the role

About the Role
DeepAware AI (YC S25) is building secure, efficient, and autonomous infrastructure for the AI era. As a Robotics Engineer, you’ll develop and integrate autonomous systems that enable 24/7 inspections, cable swaps, and maintenance in large-scale data centers. Your work will bridge the gap between physical robotics and our AI-powered Data Center Infrastructure Management (DCIM) platform — creating the “robotic hands” for next-gen AI infrastructure.

Responsibilities

Design robotic manipulation and navigation systems optimized for constrained, high-density environments
Integrate vision systems for automated inspections and anomaly detection
Collaborate with AI/ML engineers to connect robotics control with real-time DCIM data pipelines
Prototype, test, and refine robotic hardware/software at pilot deployment sites
Ensure reliability, safety, and scalability of robotics solutions for continuous operations

Requirements

Proficiency with robotics frameworks such as ROS/ROS2, MoveIt, and OpenCV
Hands-on experience in autonomous navigation and robotic manipulation
Ability to work across hardware and software components, including embedded systems and control algorithms
Strong problem-solving skills and the ability to iterate quickly in a startup environment

Nice-to-Have

Experience with industrial robotics or data center operations
Knowledge of computer vision model training and deployment
Familiarity with robotic arm kinematics, path planning, and sensor fusion

Location:
Bay Area, CA preferred

Why DeepAware?
You’ll be at the forefront of integrating robotics into AI infrastructure — working on mission-critical systems that keep the world’s AI running securely and sustainably. Your contributions will directly shape how data centers operate in the coming decade.

About DeepAware AI

DeepAware AI (YC S25) builds AI and robotics solutions to make data centers more secure, efficient, and autonomous. Our platform combines AI-powered infrastructure management with autonomous robotics to protect critical AI systems, prevent downtime, and cut energy waste by up to 30%.

We work with data center operators, AI infrastructure providers, and industry leaders to deliver hyperscaler-grade automation to everyone. As second-time founders with experience building industrial energy optimization systems for Siemens and Sumitomo, and convening global experts from Meta AI, Oracle, and the U.S. Senate, we’re tackling one of the fastest-growing and most impactful challenges of the AI era.

If you’re excited about solving real-world problems at the intersection of AI, energy, and robotics — and building technology that keeps the world’s AI running securely and sustainably — you’ll fit right in at DeepAware.