Top Engineering Jobs in Austin, TX

Lead Software Engineer - Dexterous Manipulation responsible for developing learning-based control algorithms for robotic hand hardware, ensuring high-fidelity performance and reliability in production software, and influencing hardware design.

The role involves maintaining cloud infrastructure, collaborating with engineering teams, troubleshooting issues, deploying solutions, and ensuring system reliability.

Lead hardware integration and testing of humanoid robots, manage a team, oversee design and verification processes, and develop test protocols.

Lead the development of advanced perception systems for robots, focusing on deep learning models, multi-sensor fusion, and real-time performance in complex human environments.

Lead and scale a team building production-ready manufacturing test software for sub-assembly, bring-up, functional and acceptance testing. Own architecture, automation, deployments, roadmaps, and cross-functional execution to improve throughput, yield, and test reliability across internal factories and contract manufacturers.

The Staff Electrical Engineer will lead electronics development for the Apollo robot, focusing on system architecture, PCB design, testing, and compliance with safety standards, while mentoring staff and managing 3rd party relationships.

Develop and release electronic systems for a humanoid robot, overseeing design, testing, and collaboration with cross-functional teams, while mentoring junior engineers.

As a Software Engineering Intern, you will develop tools for software engineers to enhance developer experience, collaborating on projects like plugins and workflows.

Own and architect a production-grade custom Embedded Linux distribution for humanoid robots, handling OS build systems, kernel tuning for real-time control, hardware enablement, secure provisioning and OTA updates, platform hardening with TPM/LUKS/LSMs, CI/CD for images, and tooling/documentation for field reliability and diagnostics.

Lead architecture and development of a high-performance, massively parallel simulation platform for reinforcement learning and controls. Scale cloud-native pipelines, build high-fidelity sim-to-real digital twins and sensor-realistic environments, improve contact and actuator models, and collaborate with AI and control teams to deliver production-ready simulation infrastructure and tooling.