Principal Software Engineer (Robotics & Physical AI Simulation)

Location: Must be based in Irving, TX (Dallas), United States. Domestic relocation assistance is available.

Salary: $147,760.00–$240,110.00 per year.

Company

hirify.global develops construction and industrial equipment and technology to solve customers' operational challenges through autonomy, simulation, and digital systems.

What you will do

• Define the architecture and roadmap for robotics and Physical AI simulation across multiple teams and programs.
• Build closed-loop environments for autonomous and semi-autonomous machines, connecting virtual environments with production robotics software and physical-machine testing.
• Lead Software-in-the-Loop, Hardware-in-the-Loop, and Vehicle-in-the-Loop strategies, including real-time synchronization and deterministic execution.
• Integrate ROS 2, autonomy software, machine controls, sensors, and simulation platforms.
• Develop camera, LiDAR, radar, GNSS, IMU, and machine-sensor simulation, scenario generation, replay, regression testing, robot learning, and policy evaluation.
• Scale parallel robotics simulation, reinforcement learning, and synthetic-data workloads on GPU infrastructure while establishing simulation-to-real correlation and acceptance criteria.

Requirements

• Advanced software engineering experience with Python and one or more of C++, C#, Java, Go, or Node.js.
• Experience with APIs, distributed systems, containers, automated testing, CI/CD, source control, observability, cloud platforms, and cloud-native architectures.
• Experience with Docker, Kubernetes, NVIDIA Container Toolkit, CUDA, and CoreWeave or comparable GPU cloud platforms.
• Demonstrated ability to lead architecture and technical delivery across multiple teams, conduct architecture reviews and technical investigations, and establish engineering standards.
• Strong communication, mentoring, problem-solving, and cross-functional collaboration skills; experience mentoring engineers and supporting technical hiring and onboarding.
• Experience using AI-assisted development tools such as GitHub Copilot, Claude, or Cursor.
• Deep hands-on experience with NVIDIA Isaac Sim and Isaac Lab for robotics simulation, learning, training, testing, and validation.
• Expertise with NVIDIA Newton or comparable GPU-accelerated physics engines, including rigid-body dynamics, contacts, friction, terrain interaction, vehicles, and robotic manipulation.
• Experience with NVIDIA Omniverse, OpenUSD, ROS 2, Python, C++, and NVIDIA Replicator; experience with NVIDIA Cosmos or comparable world foundation models for Physical AI and sim-to-real workflows.
• Knowledge of perception, localization, planning, control, reinforcement learning, and autonomous-machine systems, plus experience with SIL, HIL, VIL, coordinate frames, synchronization, and deterministic execution.
• Seven or more years of software development experience in robotics, autonomy, controls, or simulation.

Nice to have

• Experience with heavy equipment, off-road autonomy, autonomous vehicles, or industrial robotics.
• Experience building automated closed-loop regression environments, measurable sim-to-real correlation, and large-scale parallel simulation or robot-learning workloads.

Culture & Benefits

• Full-time employment with medical, dental, vision, paid time off, parental leave, life and disability insurance, and employee assistance benefits.
• 401(k), HSA, FSA, incentive bonus, tuition reimbursement, career development, and employee discounts are available subject to plan eligibility.
• Success is measured through reusable platform components, improved quality and scalability, cross-team adoption, reduced duplication, and mentoring-driven technical growth.
• Any employment offer is conditional on successful completion of a drug screen.
• Visa sponsorship is available for this position.