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10 дней назад

Senior / Staff Research Engineer (Generative AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
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 / Staff Research Engineer (Generative AI): Taking neural and generative models from research to production for Waabi World, a multi-sensor simulator, with an accent on model optimization, GPU performance, and numerical correctness. Focus on building deployment tooling, optimizing diffusion and vision models with TensorRT and CUDA, and preserving simulation realism through benchmarking and parity testing.

Location: Hybrid in San Francisco, CA or Toronto, ON, with remote work available in the US and Canada

Company

hirify.global develops hirify.global World, a multi-sensor simulator for autonomous driving research and development.

What you will do

  • Take neural and generative models from research code and checkpoints to versioned, reproducible, exportable production artifacts.
  • Optimize diffusion, flow-matching, scene reconstruction, and vision foundation models for latency and memory efficiency.
  • Profile model graphs, GPU kernels, memory movement, and host-device synchronization using CUDA and GPU performance tools.
  • Build benchmarks and numerical-parity tests that protect simulation realism and downstream autonomy metrics.
  • Design shared export, versioning, model registry, and build tooling for the sensor simulation team.
  • Collaborate with research scientists to make new architectures exportable, efficient, and hardware-friendly.

Requirements

  • Experience developing and shipping production-quality software and ML systems at scale.
  • Hands-on experience optimizing and deploying models with TensorRT, torch.compile, torch.export, ONNX, quantization, or pruning.
  • Experience handling custom CUDA operators and operations that do not export cleanly.
  • Ability to profile GPU workloads with Nsight Systems, Nsight Compute, or the PyTorch profiler, and write or modify CUDA or Triton kernels.
  • Strong understanding of vision transformers, diffusion and flow-matching models, and vision foundation models.
  • Experience launching and debugging GPU workloads in AWS, GCP, or equivalent cloud infrastructure, including containers, orchestration, and CUDA/PyTorch/TensorRT compatibility.

Culture & Benefits

  • Competitive compensation and equity awards.
  • Medical, dental, and vision coverage for full-time employees.
  • Unlimited vacation, flexible hours, and work-from-home support.
  • Daily drinks, snacks, and catered meals when working in the office.
  • Regular team-building activities and social events held on-site, off-site, and virtually.

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