Simulation and Validation Software Engineer

Roboticsconnected; Iowa; On-site; USD 110,000 - 150,000; Full time

Job summary

Mind Robotics is seeking a Software Engineer - Validation & Simulation to design test infrastructure, integrate simulation, and develop validation pipelines that let firmware, controls, and robot runtime teams move fast without breaking robots.

You will validate across software-in-the-loop environments, build automated test suites, and collaborate with engineers to drive reliable, field-ready robotic systems. Proficiency in Python and C/C++ or Rust is expected.

Qualifications

• Degree in CS/CE/EE or equivalent experience.
• Strong Python; C/C++ or Rust debugging.
• Experience building validation or test infra for real robots.
• Ability to work across firmware, controls and runtime teams.

Responsibilities

• Design and build automated test suites for firmware, controls, and runtime in SIL.
• Integrate simulation inputs and dynamic models for robot testing.
• Own regression test infra and result analysis across teams.
• Collaborate to define testability requirements and turn failures into tests.
• Drive validation burn-down and issue closure across milestones.

Skills

Python

C/C++ or Rust

Validation/Simulation/Test infra

Engineering curiosity

Education

Technical degree in CS/CE/EE or equivalent

Tools

ROS2

MATLAB/Simulink

MuJoCo

Gazebo

Oscilloscopes

Job description

ABOUT MIND

Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. We believe the hardest problems in AI are solved when researchers and engineers are hands-on with the physical world every day - and we're looking for people who are passionate about robotics, value ownership, and are excited to tackle difficult problems. Join us if you want to move beyond digital intelligence and put intelligence into motion.

ABOUT THE TEAM AND THE ROLE

At Mind Robotics, we're building generalized physical AI — robotic systems capable of dexterous, adaptive, and reasoning-intensive work in real-world industrial environments. Validation is how we make sure our robots actually work — not just once on a bench, but every time, on every robot, in the field. Closing the gap between simulation, hardware test, and the real robot is what makes that reliability possible.

We're looking for a Software Engineer - Validation & Simulation to build the test infrastructure, integrate simulation, and develop validation pipelines that let our firmware, controls, and robot runtime teams move fast without breaking robots.

Responsibilities

• Design and build automated test suites that validate firmware, controls, and runtime behavior across software-in-the-loop (SIL) environments.
• Integrate simulation environment inputs and dynamic models that stand in for the real robot — including simulated sensor inputs like camera feeds — so runtime and middleware teams can develop without physical hardware.
• Own regression test infrastructure and tooling for result analysis, failure triage, and coverage tracking across firmware, controls, runtime, and hardware.
• Collaborate with firmware, controls, and runtime engineers to define testability requirements and turn real-world failures into repeatable automated test cases.
• Drive validation burn-down during integration and assembly milestones, tracking issues to closure across teams.

REQUIREMENTS

• Technical degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience and evidence of exceptional ability.
• Strong software engineering fundamentals, with fluency in Python and comfort in C/C++ or Rust for debugging at the firmware level.
• Demonstrated experience building validation, simulation, or test infrastructure for real physical systems — robots, motors, actuators, or similar.
• You are comfortable with ambiguity, move fast, and have an "engineering curiosity" that drives you to understand how the entire system works, not just your part.

NICE TO HAVES

• Experience validating or testing robotics middleware or runtime systems (ROS2 or similar).
• Experience with dynamic modeling or simulation tools (MATLAB/Simulink, MuJoCo, Gazebo, or equivalent) for robotic or actuated systems.
• Familiarity with functional safety standards (IEC 61508, ISO 13849, ISO 26262, or similar) and safety validation processes.
• Comfort with lab equipment (oscilloscopes, power supplies, logic analyzers) and embedded debugging tools (JTAG, SWD).
• Experience with agent-driven coding practices (e.g., Claude Code, Codex, Cursor) to accelerate test and software development.