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11 дней назад

Software Engineer, Early Career (AI)

140 000 - 150 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
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, Early Career (AI): Building and scaling inference infrastructure for open-source AI models with an accent on Python-based model implementation, optimization, and production serving. Focus on designing inference solutions, improving model performance, and maintaining high-performance systems using technologies such as C++, CUDA, and NCCL.

Location: Palo Alto, California, USA — in office

Salary: $140,000–$150,000 per year

Company

hirify.global builds AI infrastructure and an inference platform for serving open-source models at production scale.

What you will do

  • Design, develop, and test inference solutions for state-of-the-art AI models.
  • Implement, optimize, and evaluate models using Python, C++, CUDA, and NCCL.
  • Monitor and maintain production model-serving systems.
  • Develop features, fix bugs, participate in code reviews, and improve system performance.
  • Collaborate through standups, design reviews, and team discussions while exploring new AI/ML techniques.

Requirements

  • 0–2 years of software engineering experience, including internships.
  • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field, completed or in the final year.
  • Strong fundamentals in data structures, algorithms, and software design.
  • Proficiency in Python and experience with AI/ML libraries or frameworks such as NumPy, pandas, SciPy, TensorFlow, or PyTorch.
  • Experience with AI/ML through coursework, research, personal projects, employment, or internships.
  • Familiarity with AI models, Transformers, Diffusers, Git, and agile development.

Nice to have

  • Exposure to C++, CUDA, or AI inference.
  • Contributions to open-source machine learning projects.

Culture & Benefits

  • Work on AI model serving for large language and multimodal models.
  • Join a small team where work ships directly to customers.
  • Learn from engineers building high-performance inference systems at scale.
  • Work in a fast-paced environment with ownership, autonomy, and end-to-end responsibility.
  • Initiative, drive, persistence, and continuous improvement are highly valued.

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