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5 дней назад

Senior Simulation Engineer (AI)

112 710 - 183 140$
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

Текст:
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TL;DR
Senior Simulation Engineer (AI): Building scalable, high-fidelity simulation engines and scenario-based tooling for autonomous construction machines in NVIDIA Omniverse with an accent on C++/Python development, sensor simulation, and robotics workflows. Focus on designing deterministic multi-threaded and distributed systems, orchestrating containerized cloud workloads, and validating simulations against real-world data.

Location: Onsite at the Irving, Texas office five days a week. Domestic relocation assistance is available. Visa sponsorship is available for eligible applicants.

Salary: $112,710.00–$183,140.00 per year

Company

A global technology and manufacturing organization developing software, connectivity, autonomy, AI, and physical-system solutions for construction jobsites.

What you will do

  • Build the simulation engine and scalable framework for high-fidelity machine, jobsite, and sensor simulations.
  • Develop simulation components and orchestration workflows in NVIDIA Omniverse using USD, Omniverse Kit/Code, and PhysX.
  • Create scenario-based tooling for scenario authoring, test automation, and validation against real-world data.
  • Write maintainable, scalable, well-tested Python and C++ code with clear interfaces and documentation.
  • Collaborate with autonomy, controls, and field engineering teams to develop and validate simulation workflows.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Robotics, Machine Learning, or a related field.
  • 3+ years of Python experience and strong preference for C++ experience.
  • 2+ years of software development experience in simulation, robotics, game engines, distributed systems, autonomous systems, or a related domain.
  • Experience building multithreaded and multiprocess networked systems requiring deterministic behavior, reliable message delivery, ordering, retries, and error detection.
  • Experience running containerized workloads in cloud environments, including orchestration, CI integration, and object storage data I/O with Docker, AWS Batch, and S3.
  • Ability to write clear technical documentation that accurately describes system design.

Nice to have

  • Exposure to ROS/ROS2 or similar robotics middleware.
  • Knowledge of machine kinematics, vehicle dynamics, drivetrain modeling, or sensor simulation for cameras, GPS, LiDAR, RADAR, and IMU.
  • Experience with NVIDIA Omniverse, CARLA, Unity, Unreal Engine, Applied Intuition, or digital twin and engineering simulation platforms.

Culture & Benefits

  • Medical, dental, and vision benefits.
  • Paid time off, holidays, and volunteer time.
  • 401(k), HSA, FSA, disability, life insurance, and parental leave benefits.
  • Career development, tuition reimbursement, incentive bonus, employee assistance, and voluntary benefits.

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