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3 дня назад

Software Engineer Intern (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
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 Intern (AI): Developing software and tools for training, optimizing, and deploying AI models on Ambarella AI SoCs with an accent on heterogeneous computing, memory hierarchies, and hardware–software integration. Focus on implementing state-of-the-art techniques, optimizing AI workloads across specialized processors, and solving performance challenges on edge platforms.

Location: US Headquarters

Company

hirify.global develops AI vision processors and solutions for edge applications that extract data from high-resolution video streams.

What you will do

  • Develop software and tools for training, optimizing, and deploying AI models on hirify.global AI SoCs.
  • Analyze AI workloads and optimize performance across heterogeneous compute engines and memory hierarchies.
  • Study research papers and implement state-of-the-art techniques to solve technical challenges.
  • Collaborate with software and hardware engineers and cross-functional teams to deliver optimized solutions.

Requirements

  • Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  • Strong programming skills in C/C++ and Python.
  • Basic understanding of computer architecture, microprocessors, and memory systems.
  • Strong problem-solving and analytical skills.
  • Effective communication skills and the ability to work well in a collaborative team environment.
  • Interest in understanding how software interacts with and leverages hardware.

Nice to have

  • Familiarity with AI SoCs, CPUs, GPUs, NPUs, or other AI accelerators.
  • Experience developing software for edge AI embedded systems.
  • Knowledge of deep learning or computer vision fundamentals.
  • Understanding of AI workloads such as CNNs, LLMs, or VLMs.
  • Experience with deep learning frameworks such as PyTorch or TensorFlow.

Culture & Benefits

  • Hands-on work at the hardware–software boundary across AI workloads, system software, performance optimization, and specialized hardware.
  • Collaboration with engineers across hardware and software disciplines.
  • Fast-paced environment involving challenges across different system layers.
  • Opportunities to learn new technologies and solve technical and performance problems.

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