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3 дня назад

Robotics Simulation Engineer (Physical AI & Digital Twins)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Robotics Simulation Engineer (Physical AI & Digital Twins): Build physics-based simulation environments, digital twins, and software- and hardware-in-the-loop test systems for robots and Physical AI products with an accent on simulation fidelity, automated testing, and synthetic data generation. Focus on developing stress-testing scenarios, enabling parameter sweeps and what-if analyses, and finding failure modes before products reach the field.

Location: Atlanta, GA, USA; onsite role within the New Product Development Innovation Team.

Company

hirify.global develops software and automated order-fulfillment systems using robotics, connected technologies, and advanced warehouse automation.

What you will do

  • Develop and run physics-based simulation environments using tools such as NVIDIA Isaac Sim, Gazebo, and MuJoCo for end-to-end testing of robots and Physical AI products.
  • Build digital twins of hirify.global hardware and compare simulations with laboratory and field data to improve model fidelity.
  • Set up software-in-the-loop and hardware-in-the-loop test benches, and integrate simulation test cases into regression and CI/CD pipelines.
  • Develop scenario-generation and stress-testing methods to identify unknown failure modes and edge cases.
  • Build automated workflows that enable engineers to perform what-if analyses and parameter sweeps without being simulation specialists.
  • Generate synthetic data and simulation environments for training and evaluating perception and AI models, and communicate results and uncertainty to technical and non-technical audiences.

Requirements

  • 3+ years of experience applying simulation in robotics, hardware engineering, or product development. A senior-level position is available for well-qualified candidates.
  • Hands-on experience with physics-based robotics simulators such as NVIDIA Isaac Sim, Gazebo, MuJoCo, PyBullet, or Webots.
  • Strong Python programming skills and experience automating simulation workflows and analyzing large result sets; C++ is a plus.
  • Solid understanding of rigid-body dynamics, kinematics, sensors, and actuators.
  • Experience with automated testing, including software-in-the-loop, hardware-in-the-loop, or simulation in CI/CD.
  • Ability to collaborate across mechanical, electrical, controls, software, and AI engineering teams and explain results and uncertainty to technical and non-technical audiences.
  • Bachelor’s degree or higher in Mechanical, Electrical, or Robotics Engineering, Computer Science, or a related field.

Nice to have

  • Experience with photorealistic rendering and synthetic data generation using Isaac Sim Replicator, NVIDIA Omniverse, Unreal Engine, or Blender, or with reinforcement-learning environments such as Isaac Lab or Gymnasium.
  • Familiarity with system identification, parameter estimation, sensitivity analysis, or uncertainty quantification.
  • Experience with traditional FEA tools such as Ansys Mechanical or Abaqus and 3D CAD tools such as SolidWorks, Creo, or NX.
  • Experience scaling simulations across GPUs, clusters, or cloud environments.
  • Background in robotics, logistics automation, or other electromechanical systems.

Culture & Benefits

  • Supportive and rewarding work environment with cross-disciplinary collaboration.
  • Comprehensive medical, dental, and vision plans.
  • Health Savings Account with a company contribution.
  • Paid time off including 12 holidays, paid exercise time, paid volunteer time, and paid parental leave for all new parents.
  • 401(k) plan with employer match and discretionary profit-sharing contribution.
  • Educational assistance, professional development, mentorship, coaching, life and disability insurance, and employee assistance programs.

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