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13 дней назад

Principal Architect – Simulation Engine (Physical AI)

159 120 - 258 570$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Architect – Simulation Engine (Physical AI): Designing and scaling a deterministic simulation platform for autonomous construction and mining machines with an accent on high-fidelity physics, sensor modeling, scenario generation, and GPU-cluster execution. Focus on sim-to-real correlation, SIL/HIL integration, reinforcement-learning environments, and maintaining performance and fidelity across millions of daily simulations.

Location: Full-time onsite at the Irving, Texas office in the Dallas area. Domestic relocation assistance is available, and visa sponsorship is available.

Salary: $159,120–$258,570 per year.

Company

hirify.global develops connected machines, digital platforms, autonomy, and AI systems for construction and mining applications.

What you will do

  • Define the technical vision, architecture, and roadmap for the simulation platform supporting Physical AI and autonomous construction and mining machines.
  • Design core abstractions for OpenUSD assets, physics, rendering, sensors, scenarios, deterministic execution, replay, and SIL/HIL workflows.
  • Build simulation capabilities for deformable terrain, machine dynamics, cameras, LiDAR, radar, GNSS, and inertial sensors in challenging environmental conditions.
  • Establish measurable standards for fidelity, determinism, performance, and developer experience.
  • Lead sim-to-real correlation using field data and collaborate with simulation, digital twin, AI, autonomy, perception, controls, and machine engineering teams.
  • Guide GPU-cluster and cloud-scale execution for millions of scenario runs per day.

Requirements

  • Typically 8+ years of software engineering experience with ownership of production simulation platforms for autonomous vehicles or robotics.
  • Hands-on experience with NVIDIA Omniverse, Isaac Sim, OpenUSD, PhysX, RTX, Unreal Engine, or comparable simulation technologies.
  • Expert modern C++ and strong Python skills; experience with gRPC, Protocol Buffers, Bazel or CMake, and CI/CD for large monorepos.
  • Experience with high-fidelity physics, sensor simulation, outdoor terrain, procedural scenarios, reinforcement learning, and closed-loop training.
  • Experience scaling simulation on GPU clusters or cloud environments using technologies such as Kubernetes, Slurm, Ray, or CUDA.
  • Bachelor’s, master’s, or doctoral degree in Computer Science, Robotics, Mechanical Engineering, Physics, or a related field, or equivalent experience.

Nice to have

  • Experience with Applied Intuition, CARLA, Isaac Lab, MuJoCo, Project Chrono, Rust, CUDA, 3D Gaussian Splatting, or NeRF.
  • Familiarity with ASAM OpenSCENARIO, SOTIF, ISO 26262, NVIDIA Cosmos, or world foundation models.
  • Background in off-highway, mining, construction autonomy, autonomous vehicles, or robotics simulation.

Culture & Benefits

  • Medical, dental, and vision benefits.
  • Paid vacation, holidays, and volunteer time.
  • 401(k), HSA, FSA, disability, life insurance, and parental and adoption benefits.
  • Career development, tuition reimbursement, employee assistance, lifestyle programs, and employee discounts.
  • Incentive bonus opportunities.

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