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5 дней назад

Software Engineer II, MLOps Framework

139 000 - 166 800$
Формат работы
remote (только USA)
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
Software Engineer II, MLOps Framework (MLOps/Autonomous Vehicles): Building model conversion, compilation, benchmarking, and release pipelines for deploying machine learning models on edge hardware with an accent on TensorRT, ONNX, torch.compile, and reproducible model registries. Focus on validating latency and accuracy parity across platforms, optimizing safety-critical inference, and releasing models for autonomous trucking systems.

Location: Remote - US

Salary: $139,000–$166,800 USD annually, plus bonus and stock options

Company

Develop software for automated trucks and autonomous driving systems in partnership with a truck manufacturer.

What you will do

  • Architect and implement model conversion and compilation pipelines using ONNX, TensorRT, and torch.compile.
  • Deploy and optimize models for edge devices such as NVIDIA Orin.
  • Maintain the model release registry and ensure traceability and reproducibility across model versions and target platforms.
  • Benchmark latency and validate model quality parity against safety-critical performance requirements.
  • Compare metrics across hardware platforms and communicate actionable findings to model development, perception, and safety teams.

Requirements

  • Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field with 4+ years of relevant experience, or a master’s degree with 2+ years.
  • Extensive experience with ONNX, TensorRT, torch.compile, model conversion, compilation, latency benchmarking, and quality parity validation.
  • Hands-on experience deploying and testing models on edge or embedded platforms such as NVIDIA Orin.
  • Experience maintaining a production model release registry.
  • Ability to interpret performance metrics across hardware platforms and validate strict latency and accuracy requirements.

Nice to have

  • Model quantization experience, including PTQ and QAT, and mixed-precision inference with INT8, FP8, FP4, BF16, or FP16.
  • Experience releasing models across heterogeneous, multi-target platforms.
  • Knowledge of autonomous driving perception algorithms, including temporal 3D object detection, BEV, 3D Occupancy Networks, and multimodal sensor fusion.
  • C++ or CUDA kernel development experience.

Culture & Benefits

  • Collaborative, energetic, and team-focused work environment.
  • 100% paid medical, dental, and vision premiums for full-time employees.
  • 401(k) plan with a 6% employer match.
  • Flexible schedule and generous paid vacation available immediately after starting.
  • AD&D and life insurance.

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