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12 часов назад

Senior AI Tooling Engineer (AI)

144 700 - 261 300$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
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

Senior AI Tooling Engineer (AI): Building and optimizing internal ML tooling for distillation, training, and inference of models with an accent on performance analysis and hardware integration. Focus on developing workflows for high-performance software, tracing distributed training jobs, and influencing model architecture decisions for autonomous vehicle systems.

Location: Remote (USA). If living within a specific mile radius of a GM hub, must be able to report to the office three times a week.

Salary: $144,700–$261,300

Company

hirify.global is a global automotive leader dedicated to achieving a future with zero crashes, zero emissions, and zero congestion.

What you will do

  • Identify opportunities to improve training and inference efficiency for custom ML models.
  • Build workflows for correctness and performance analysis on physical in-car compute and sensors.
  • Develop tooling to predict model performance based on architecture and data shape.
  • Trace performance on large distributed training and distillation jobs running on powerful GPUs.
  • Evolve the toolchain to leverage the latest advancements in AI.
  • Influence model architecture decisions and strategy within the organization.

Requirements

  • 3+ years of experience in AI/ML.
  • Expertise with ML frameworks (PyTorch, TensorFlow) and NVIDIA ecosystem (TensorRT, Nsight).
  • Expertise in writing production-quality Python and C++ code.
  • Strong understanding of the software development life-cycle including debugging and optimization.
  • BS or higher degree in CS, CE, EE, or equivalent.
  • Must be authorized to work in the United States.

Nice to have

  • Experience with GPU programming (CUDA) and ML software stacks like cuDNN or cuBLAS.
  • Familiarity with ML accelerators and hardware architecture.
  • Experience deploying machine learning models in production environments.

Culture & Benefits

  • Comprehensive health and wellbeing programs including medical, dental, and vision.
  • Retirement savings plan and life insurance.
  • Paid vacation and holidays.
  • Tuition assistance programs and employee assistance programs.
  • Exclusive GM vehicle discounts.

Hiring process

  • Review of key responsibilities and qualifications.
  • Potential role-related assessments or pre-employment screenings.

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