Robotics Software Engineer - Grasping

Mountain View (US-MTV)full time

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On Site

mid

$207k–$283k

H1B: no

Intrinsic Robotics Robotics Software Engineer - Grasping at Intrinsic Robotics develops and implements algorithms for robotic grasping in industrial environments. The role requires strong robotics fundamentals and software engineering skills to deliver production-quality code and improve system reliability.

Responsibilities

Algorithm Development: Design, implement, and maintain efficient, production-ready algorithms for robotic grasping.
Problem Solving: Collaborate with the team to apply cutting-edge advancements in robotics to practical, real-world industrial problems.
Technical Execution: Transform complex partner requirements into highly reliable, functional, and scalable technical outcomes.
System Reliability: Improve our core robotics software framework, ensuring high code quality and contributing to a highly reliable product.
Master’s degree in Robotics, Computer Science, or a related field.
2+ years of professional experience in robotics (backgrounds in motion planning, control, or grasping/manipulation are all welcome).

Qualification

Software EngineeringRobotics FundamentalsHardware ExperienceFull-Stack RoboticsPhD in Robotics and Machine LearningExpertise with ML frameworks

Required

Software Engineering: Exceptional programming skills in C++ and Python, with a proven track record of writing clean, efficient, and production-quality software.
Robotics Fundamentals: Strong foundation in linear algebra, spatial transformations, kinematics, and rigid body dynamics.
Hardware Experience: Direct experience testing, deploying, and iterating on physical robot hardware.
PhD in Robotics or a related field with a specific focus on motion planning, controls, or grasping.
Prior exposure to or interest in robotic grasping and manipulation projects.
Full-Stack Robotics: Experience developing across the entire robotics stack, ranging from writing kinematics and motion generation to system integration and testing.

Preferred

PhD in Robotics and Machine Learning, Reinforcement Learning, or related field
Expertise with ML frameworks: JAX, TensorFlow, or PyTorch
Experience developing entire stack from kinematics to system integration and testing

Benefits

Equity/RSU

Company

Intrinsic Robotics

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Source: greenhouse

Active within the past hour

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