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← Apptronik

Senior Software Engineer, ML Infrastructure

Apptronik
Location
Austin, TX
Posted
20 days ago
Department
Software Engineering
What they actually want (must-haves)
  • 5+ years of professional software engineering experience in ML platforms, data infrastructure, or related fields
  • Strong Python and general software engineering ability (testing, API design, code review)
  • Experience building large-scale evaluation or simulation harnesses
  • Deep hands-on experience with large-scale data pipelines for ML
  • Experience with ML annotation and labeling at scale
  • Cloud infrastructure, Kubernetes, Docker, and modern CI/CD knowledge
Nice to have
  • Robotics data formats and fleet-scale telemetry (MCAP, ROS, LeRobot, or equivalent)
  • Simulation-in-the-loop evaluation with Isaac Sim, IsaacLab, MuJoCo, or equivalent
  • Reinforcement or imitation learning infrastructure for embodied agents
  • Deploying ML models to edge targets (ONNX Runtime, TensorRT, robot fleets)
What the job really is

As a Senior Software Engineer focused on ML Infrastructure at Apptronik, you will develop the platform that manages data from collection to model deployment for their humanoid robot, Apollo. Your role will involve building APIs, data pipelines, and evaluation systems to support machine learning processes, ensuring that researchers can easily access and utilize data for training models. You will also collaborate with various teams to enhance the platform and mentor other engineers.

Things to weigh
  • No salary listed
  • Role involves building systems from the ground up, which may require significant problem-solving and innovation
  • The position is hands-on and collaborative, which may appeal to those who enjoy teamwork and mentorship
Job score3/5
Benefits1/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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