Staff Robotics Software Engineer

Description:

As a Staff Robotics Software Engineer and Researcher, you will take full technical ownership of developing and deploying robotics grasping and manipulation algorithms, leading the end-to-end lifecycle from foundational research to global deployment. You will help define the architecture and long-term strategy that enables robots to interact with the physical world, researching and scoping innovative solutions for robust grasping in industrial settings. By abstracting the inherent complexity of robotic manipulation into intuitive workflows, you will work with a multidisciplinary team to integrate and validate high-availability software within complex, real-world industrial applications for manufacturing environments.

How your work moves the mission forward
 

• Design and implement robust and efficient production-ready algorithms for robotic grasping and manipulation.
• Identify opportunities to apply cutting-edge advancements in robotics and apply them to practical industrial problems.
• Transform complex partner requirements into highly reliable and functional technical outcomes.
• Mentor junior engineers, contribute to the strategic roadmap and drive the evolution of our robotic software stack for global industrial deployment.
   

Skills you will need to be successful
 

• Master’s degree in Robotics, Computer Science, or a related field, with 8+ years of experience in robotic manipulation.
• 2 years of leading substantial, ambiguous technical projects from inception to deployment.
• Strong foundational knowledge in linear algebra, spatial transformations, and rigid body dynamics.
• 6 years of professional experience programming robotics software in C++ and Python, with a proven track record of shipping production-quality code.
• Experience Machine Learning in applied robotics context.
   

Skills that will differentiate your candidacy
 

• PhD in Robotics and Machine Learning, Reinforcement Learning, or a related field with a focus on robotic manipulation.
• ML Frameworks: Deep expertise with JAX, TensorFlow, or PyTorch.
• Experience in developing the entire stack: ranging from writing kinematics, motion generation, to system integration and testing.