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3 часа назад

Senior AI Systems Performance Engineer (AI)

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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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR
Senior AI Systems Performance Engineer (AI) (Foundation Models and ML Systems): Optimizing and scaling foundation models on SambaNova’s reconfigurable dataflow platform with an accent on throughput, latency, compiler-runtime-hardware collaboration, and efficient inference. Focus on profiling bottlenecks, applying quantization and scheduling optimizations, and building scalable single-node and distributed AI systems.

Location: San Jose, California, United States

Company

hirify.global develops a full-stack generative AI platform spanning specialized chips, software, and foundation models for enterprise and government organizations.

What you will do

  • Bring up and optimize foundation models such as DeepSeek, Llama, and Qwen on the hirify.global software stack.
  • Profile and improve model performance across compiler, runtime, and hardware layers.
  • Collaborate with machine learning, compiler, runtime, and hardware teams on co-designed AI applications.
  • Apply advances in model architecture, quantization, scheduling, and memory optimization.
  • Develop scalable end-to-end inference solutions for customer needs.
  • Identify bottlenecks and optimize dataflow and scheduling for single-node and distributed systems.

Requirements

  • Bachelor’s degree or higher in computer science, electrical engineering, applied mathematics, physics, statistics, or a related field.
  • 3+ years of experience in deep learning performance optimization, compiler/runtime/kernel optimization, systems tuning, or software-hardware co-design.
  • Proficiency in Python or C++, with strong foundations in algorithms, data structures, and numerical computing.
  • Experience with at least one major ML framework: PyTorch, TensorFlow, or JAX.
  • Demonstrated ability to analyze and optimize real-world ML pipelines.

Nice to have

  • Experience with LLM or multimodal model training and inference.
  • Background in distributed training, continuous batching, and high-throughput inference.
  • Familiarity with quantization, graph optimization, kernel fusion, model partitioning, DeepSpeed, Megatron, vLLM, or TensorRT.
  • GPU programming experience with CUDA, Triton, or OpenCL, and familiarity with cuDNN or cuBLAS.
  • Publications or open-source contributions in ML systems or performance optimization.

Culture & Benefits

  • Full-time US employment includes base salary, equity, and benefits.
  • Medical insurance covers 95% of employee premiums and 77% of dependent premiums.
  • Health Savings Account, Flexible Spending Account, dental, vision, disability, life, and AD&D insurance options are available.
  • Well-being benefits include Headspace, Gympass+, One Medical, and counseling services.
  • hirify.global is an Equal Opportunity/Affirmative Action Employer.

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