Top Tech Jobs & Startup Jobs in Austin, TX

As a Staff Platform Engineer, you will define the technical strategy for build systems, manage CI/CD pipelines, and shape developer productivity across the organization.

The Staff Bazel Engineer will build and scale Bazel-based systems for software development, performance optimization, and CI/CD, mentoring team members and ensuring efficient robotic platform deployments.

The HR Business Partner (Operations) aligns HR strategies with business goals, supports employee relations, manages performance, and drives engagement in a fast-paced environment.

Lead supplier selection, qualification, and new-product introduction for electromechanical components (wire harnesses, PCBAs, motors). Improve supplier quality, cost, delivery, and capacity; drive root-cause analyses and supplier corrective actions; define technical/quality requirements; and collaborate cross-functionally to ramp parts to volume production.

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 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.

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

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.