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gem

Founding Autonomy Engineer

Strata
Sunnyvale, USA
Full-time
Senior
Onsite
USD 100000-180000 yearly / year
Discovered 1 weeks ago
MuJoCoGazeboIsaac SimPythonC++ROS2
Free

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MuJoCoGazeboIsaac Sim
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Key Responsibilities

  • Evolve and improve the autonomy system, shaping how perception, planning, and control components integrate and operate together.
  • Make system design decisions that ensure the autonomy stack remains robust and scalable, and can reliably incorporate learned models into real-world deployments.
  • Identify and resolve system-level issues in real-world deployments, including failures across sensing, state estimation, planning, and control.
  • Define and improve interfaces and data flow across perception, planning, and control to ensure clean integration and maintainability.
  • Develop and maintain simulation environments and workflows (MuJoCo, Gazebo, Isaac Sim, or similar) to support testing, validation, and development of new capabilities.
  • Build systems to support data collection, evaluation, and iteration for learned models deployed in the autonomy stack.
  • Improve perception pipelines, including sensor calibration, synchronization, and integration of camera and point cloud data to support more advanced autonomy capabilities.
  • Define and improve testing and validation workflows for autonomy behaviors in both simulation and real-world environments.
  • Improve system robustness through better handling of noise, uncertainty, and real-world variability.
  • Build and deploy manipulation systems that enable robots to reliably move materials in real-world environments.

Qualifications

  • Bachelor’s, Master’s, or PhD in Robotics, Computer Science, or a related technical field.
  • Strong hands-on experience building manipulation systems for physical robots, not just simulation environments.
  • Proficiency in Python and C++ for robotics software development.
  • Experience with ROS2 and common robotics tooling for integration, visualization, and debugging.
  • Familiarity with manipulation and perception frameworks such as MoveIt, OpenCV, PCL, and related tools.
  • Experience integrating and calibrating cameras or depth sensors for robotics applications.
  • Strong understanding of motion planning, kinematics, and control.
  • Ability to debug full-stack manipulation problems across sensing, estimation, planning, controls, and hardware behavior.
  • Comfort working directly on robotic systems in fast iteration loops involving bench testing, system bring-up, and field testing.
  • Experience with logging, replay, and debugging workflows using tools such as RViz and rosbag.
  • Strong engineering judgment and the ability to choose practical, robust solutions that work under real deployment constraints.

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