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2 дня назад

Applied Robotics Engineer (AI)

180 000 - 300 000$
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
Applied Robotics Engineer (AI): Deploying AI and robotics models on real-world hardware across simulation, post-training, evaluation, system integration, and production deployment with an accent on constrained compute, noisy sensors, real-time control, and unreliable networks. Focus on debugging failures across perception, actuator dynamics, control-loop timing, coordinate conventions, and model behavior while translating partner requirements into reliable physical systems.

Location: On-site in a Virginia-based office, with office and field work alongside customers in various locations.

Salary: $180K–$300K, plus equity.

Company

hirify.global is a frontier AI lab building large action models and world models for virtual and physical environments, building on Medal's gaming platform.

What you will do

  • Deploy AI and robotics models from training checkpoints to real-world hardware and production systems.
  • Own post-training, evaluation, system integration, inference optimization, and deployment.
  • Work with partners to understand legacy control systems, sensor pipelines, latency constraints, and edge-compute limits.
  • Diagnose failures involving sensor calibration, actuator dynamics, control-loop timing, coordinate conventions, and multimodal model behavior.
  • Connect deployment findings back to research and improve model reliability on physical systems.

Requirements

  • 5+ years of experience deploying AI or robotics systems from prototype to production across simulation, model development, and real-world deployment.
  • End-to-end experience running trained models on real hardware and owning deployment failures.
  • Strong Python and PyTorch skills, with C++ experience when performance requires it.
  • Experience with inference optimization on constrained hardware, including quantization, distillation, TensorRT or ONNX export, and control frequency.
  • Depth in policy learning and control, world models and simulation, or perception and inverse dynamics, plus interest in the other areas.
  • Experience with sensors, robotics middleware, edge compute, real-time constraints, unreliable networks, and rigorous evaluation.

Culture & Benefits

  • Work directly with partner engineers and leadership on real-world robotics deployments.
  • Comprehensive medical, dental, and vision coverage.
  • 401(k), fertility and parental benefits, and generous paid time off.
  • Daily meals, wellness and commuter benefits at the NYC headquarters.
  • Learning and development stipend; benefits vary by country and employment type.

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