Sr. Software Engineer - Simulation / Support (Robotics)

TL;DR

Sr. Software Engineer - Simulation / Support (Robotics): Develop simulation infrastructure and tools for testing Physical AI models with an accent on bridging simulation and real-world deployment using data from production robot fleet. Focus on designing reproducible test scenarios, integrating simulation into CI pipelines, and improving productivity and debuggability across the robotics stack.

Location: Hybrid in Austin, Texas, United States

Company

Building artificial intelligence for service robots that collaborate with humans in dynamic environments like hospitals, operating a production fleet of mobile manipulation robots.

What you will do

• Design and build tools to improve productivity and debugging across the robotics software stack
• Develop and maintain simulation infrastructure for testing autonomy, navigation, perception, manipulation, and system behaviors
• Partner with autonomy, perception, platform, and infrastructure teams to integrate simulation into CI pipelines and validation workflows
• Create reproducible test harnesses and scenarios mirroring real-world edge cases from customer environments
• Support release readiness through automated validation, regression testing, and scenario-based simulation coverage
• Contribute to architecture decisions for modularity, testability, and maintainability; evaluate and integrate third-party simulation frameworks

Requirements

• Undergraduate or graduate degree in Robotics, Computer Science, Electrical Engineering, or related field
• 5+ years of professional software engineering experience, ideally in robotics, autonomous vehicles, or complex cyber-physical systems
• Strong proficiency in C++ and/or Python
• Experience with robotic middleware such as ROS or similar distributed systems frameworks
• Experience developing or extending simulation environments like Gazebo, Isaac Sim, Mujoco, or custom engines
• Experience debugging distributed systems and working with real-world hardware
• Strong understanding of software architecture, systems design, scalable tooling, CI/CD, and automated testing
• Comfort working across the stack from low-level systems to higher-level autonomy; excellent cross-functional communication

Culture & Benefits

• Work on cutting-edge challenges where simulation meets real-world robotics deployment
• Collaborate with teams advancing Physical AI through real-world data from operational robots
• Mentor engineers on best practices in testing, debugging, observability, and system design