Apptronik

Lead the technical direction of Apptronik’s MLOps platform, connecting datasets and experiments to models deployed on Apollo humanoid robots. This hands-on Staff role spans model lifecycle infrastructure, evaluation, serving, and robotics deployment while mentoring engineers through technical influence.

Build the actuator models and low-level controllers that help Apptronik’s Apollo humanoid robot move reliably from simulation to real hardware. This hands-on robotics role spans system identification, simulator integration, control tuning, hardware testing, and deployment.

Lead sim-to-real development for tendon-driven robotic hands, creating accurate simulation models and validating them against physical hardware. You’ll own system identification, calibration, and the transfer of reinforcement-learning control policies to real robots.

Own software and AI safety assurance for Apptronik’s Apollo humanoid robots, from architecture analysis through verification evidence and safety-case development. The role combines safety-critical embedded software expertise with emerging AI/ML safety practices.

Develop and deploy learning-based manipulation policies that enable Apollo humanoid robots to perform reliable, precise tasks on physical hardware. This role bridges robotics research and production software across simulation, data, hardware, and systems.

Build the dexterous manipulation capabilities that enable Apptronik’s Apollo humanoid robots to grasp, manipulate, and interact with the world using human-like precision. You’ll turn reinforcement-learning research into reliable software deployed on simulated and physical robots.

Senior Site Reliability Engineer responsible for scaling Apptronik’s Kubernetes-based infrastructure, CI/CD platform, and observability systems for humanoid robot development and production. This hands-on role spans bare metal, public cloud, Linux internals, disaster recovery, and reliable delivery at scale.

Build and scale the core simulation platform powering humanoid robot policy training, controls validation, and perception development. This staff-level role combines high-performance C++ and Python engineering with robotics simulation, cloud-scale parallel workloads, and sim-to-real transfer.