Founding Autonomy Engineer

Stratarobot; Sunnyvale (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Stratarobot in Sunnyvale seeks a Founding Autonomy Engineer to develop and scale an autonomy system for its robotic platform. The role involves integrating perception, planning, and control components while ensuring reliability and scalability in real-world deployments.

Ideal candidates will have a Bachelor’s, Master’s, or PhD in Robotics or Computer Science, strong hands-on experience with physical robots, and proficiency in Python and C++. The position offers an exciting opportunity in the rapidly growing field of robotic automation.

Qualifications

• Experience solving complex problems in real-world environments.
• Strong engineering judgment for practical solutions.
• Ability to work on robotic systems with fast iteration loops.

Responsibilities

• Design and scale the autonomy system for robotic platform.
• Ensure reliable integration of perception, planning, and control components.
• Develop simulation environments for testing and validation.
• Build systems to support data collection for learned models.

Skills

Robotics software development

Hands-on experience with manipulation systems

Debugging full-stack manipulation problems

Proficiency in Python

Proficiency in C++

Integration and calibration of sensors

Experience with ROS2

Motion planning and control

Education

Bachelor’s, Master’s, or PhD in Robotics or Computer Science

Tools

MuJoCo

Gazebo

Isaac Sim

OpenCV

PCL

Job description

Company Description

Heavy infrastructure cannot be built fast enough to fulfill the promises of American reindustrialization. With labor availability tightening and the workforce aging, construction faces a multi-trillion-dollar execution gap over the next decade. Backed by Founders Fund and others, the team is developing robots for outdoor, high-payload job site work with a focus on immediate deployment and autonomy that delivers value immediately. We're partnering with the largest heavy construction firms to put robots on sites immediately, building hardware, data, and commercial moats to bring end-to-end autonomy to construction.

Role Description

We are looking for a Founding Autonomy Engineer to help design and scale the autonomy stack for Strata's robotic platform. This role focuses on building a robust and extensible autonomy system, shaping how perception, planning, and control components integrate and operate together. You will work across system design and real-world deployment to identify failure modes, improve observability, and ensure the system remains reliable and scalable. You will help design and build systems that allow the autonomy stack to incorporate learned models and leverage simulation for faster iteration and more complex tasks. This role requires experience solving complex problems and building systems that are reliable and scalable in real-world environments.

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.