2 дня назад
Applied Robotics Engineer (AI)
180 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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