6 часов назад
Software Development Graduate Intern (AI)
94 500 - 127 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Development Graduate Intern (AI) (C/C++/Python, ML): Designing, developing, testing, and optimizing system software and AI solutions across firmware, drivers, operating systems, middleware, and AI frameworks with an accent on machine learning, deep learning, and platform performance. Focus on building MLOps and deep learning CI/CD workflows, debugging software and hardware interactions, and supporting Generative AI, LLM, diffusion model, and reinforcement learning deployments.
Location: On-site in Folsom, California, United States
Salary: $94,500–$127,800 USD annually
Company
develops computing platforms and technologies supporting advances in artificial ligence, machine learning, and software and hardware systems.
What you will do
- Design, develop, test, and optimize system software across firmware, drivers, operating systems, middleware, and AI software frameworks.
- Build software solutions using C, C++, and Python for platforms and technologies.
- Support machine learning, deep learning, Generative AI, LLM, diffusion model, and reinforcement learning initiatives.
- Develop and enhance MLOps and deep learning CI/CD workflows.
- Analyze performance, debug software and hardware interactions, and optimize solutions.
- Collaborate with software, hardware, architecture, and AI engineers on real-world projects.
Requirements
- Pursuing a Master’s or PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related STEM field.
- Available to work full-time for at least six months.
- At least three months of academic or professional experience developing software in Linux and/or Windows environments.
- Experience programming in C, C++, and/or Python.
- Experience with machine learning or deep learning development and TensorFlow and/or PyTorch.
- Experience with reinforcement learning and/or Generative AI technologies, including LLMs and diffusion models.
Nice to have
- Experience triaging and debugging hardware-software issues.
- Experience developing or supporting deep learning CI/CD or MLOps workflows.
- Experience creating robust and reliable deep learning deployment solutions.
Culture & Benefits
- Mentorship from experienced engineers and researchers.
- Hands-on exposure to industry tools, workflows, and best practices.
- Competitive pay, stock bonuses, health benefits, retirement programs, and vacation.
- Opportunity to contribute to projects supporting future technology innovations.
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