Software Engineer - Validation & Simulation (Robotics)

Location: Palo Alto, United States; on-site

Company

hirify.global is building generalized physical AI and robotic systems for dexterous, adaptive, reasoning-intensive work in real-world industrial environments.

What you will do

• Design and build automated test suites for firmware, controls, and runtime behavior in software-in-the-loop environments.
• Integrate simulation inputs and dynamic models, including simulated camera feeds, so software teams can develop without physical hardware.
• Own regression test infrastructure 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 convert real-world failures into repeatable automated tests.
• Drive validation burn-down during integration and assembly milestones and track issues to closure across teams.

Requirements

• Technical degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience demonstrating exceptional ability.
• Strong software engineering fundamentals, fluency in Python, and comfort with C, C++, or Rust for firmware-level debugging.
• Experience building validation, simulation, or test infrastructure for physical systems such as robots, motors, or actuators.
• Comfort working with ambiguity and understanding complete systems beyond an individual component.
• Experience with robotics middleware or runtime systems such as ROS2, or similar technologies.

Nice to have

• Experience with dynamic modeling or simulation tools such as MATLAB/Simulink, MuJoCo, or Gazebo.
• Familiarity with functional safety standards including IEC 61508, ISO 13849, or ISO 26262.
• Experience with oscilloscopes, power supplies, logic analyzers, JTAG, or SWD.
• Experience with agent-driven coding tools such as Claude Code, Codex, or Cursor.

Culture & Benefits

• Hands-on work with physical systems in real-world industrial environments.
• Ownership of difficult validation and reliability problems across software and hardware.
• Collaboration across firmware, controls, runtime, and hardware engineering teams.