Top Engineering Jobs in Austin, TX

Develop accurate simulation abstractions for tendon-driven robotic hands and validate them against physical hardware through system identification, actuator characterization, calibration, and testing. Own the sim-to-real pipeline for transferring reinforcement learning policies to hardware, including dynamics modeling, domain randomization, friction and backlash characterization, and control tuning. Lead technical execution autonomously and collaborate with reinforcement learning and controls teams to resolve simulation-to-reality discrepancies.

Lead electromagnetic design of custom BLDC and PMSM motors for humanoid robot joints from concept through prototype and volume manufacturing. Perform advanced simulations, define motor performance targets, validate designs using motor dyno testing, and correlate models with hardware. Collaborate with mechanical, thermal, electrical, controls, manufacturing, vendors, and university partners to optimize torque density, ensure design-for-manufacturing, manage technical requirements, and support technology transfer.

Leads a team developing real-time control software for humanoid robots. Responsibilities include hiring and mentoring engineers, managing controls roadmap delivery, reviewing designs and code, maintaining testing and release quality, validating simulation-to-hardware performance, and collaborating with firmware, embedded software, learning, teleoperation, systems, and test teams. The role requires hands-on expertise in robot controls, C++ real-time software, physical robot deployment, and engineering leadership.

Owns validation, reliability, and production testing for robotic electronic components, including PCBAs, wiring harnesses, sensors, and compute modules. Designs HALT/HASS campaigns, test methods, fixtures, automation, and pass/fail criteria; characterizes sensor and compute performance; diagnoses failures to the board, connector, or component level; and transitions validated processes to manufacturing test teams.

Leads reliability strategy and testing for complex electromechanical robotic systems. Establishes MTBF targets, allocates reliability requirements, plans life and environmental testing, and determines sample sizes and confidence levels. Directs root-cause investigations across mechanical, electrical, and firmware domains, manages FRACAS, develops reliability models, and tracks reliability growth. Mentors engineers, collaborates with design, manufacturing, and quality teams, and communicates reliability risks and tradeoffs to leadership.

Develop and launch scalable manufacturing processes for complex electromechanical robotic assemblies. Responsibilities include prototype and NPI support, MBOM and process documentation, tooling and fixture development, process validation, DFM/DFA reviews, PFMEA, pilot builds, production ramp, contract manufacturer transfer, yield improvement, and root-cause analysis.

Develop and deploy dexterous manipulation software for multi-fingered robotic hands. Implement reinforcement and imitation learning, real-time C++ and Python control, sim-to-real pipelines, and tactile-feedback integration. Train and validate policies in IsaacSim, MuJoCo, or Drake, then debug and deploy them on physical robots. Apply robotics fundamentals including kinematics, dynamics, and Jacobian-based control while collaborating with hardware and systems teams.

Leads development and deployment of scalable automated manufacturing test software, hardware, and infrastructure for humanoid robots. Manages test engineers, drives hardware/software integration, supports production ramps and contract manufacturers, establishes test architecture and release practices, and ensures reliable troubleshooting, documentation, and maintainability across manufacturing environments.

Manage and scale hybrid Kubernetes infrastructure across bare metal, virtual machines, and public cloud. Build CI/CD and build systems, implement GitOps delivery and progressive rollouts, and establish backup, disaster recovery, observability, and SLO practices. Debug production issues across the Linux, networking, storage, and Kubernetes stack, automate infrastructure with Terraform, Helm, Ansible, Go, and Python, strengthen platform security, and partner with robotics teams on capacity, architecture, and production readiness.

Apptronik is connecting with interns, entry-level candidates, senior professionals, and research scientists in robotics and AI. Opportunities span perception, sensing, control, dynamics, software systems, hardware, and mechatronics, involving technologies such as computer vision, SLAM, reinforcement learning, ROS, C++, Python, embedded systems, and mechanical design. Roles support development and commercialization of the Apollo humanoid robot.