4 часа назад
AI Solution Architect - Graduate Intern
133 498 - 133 502$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Solution Architect - Graduate Intern (AI Infrastructure): Deploying and validating AI accelerator platforms and multi-node clusters with an accent on system debugging, AI workload benchmarking, and end-to-end solution development. Focus on building Python automation tools, diagnosing hardware and software issues, and optimizing inference and training workloads.
Location: On-site in Santa Clara, California, United States
Annual salary: $133,498–$133,502 USD
Company
develops computing hardware, software, and AI infrastructure solutions.
What you will do
- Deploy and validate AI accelerator systems and multi-node AI clusters.
- Support cluster provisioning, software installation, health verification, and operational troubleshooting.
- Analyze hardware, firmware, driver, and software logs and assist with root-cause investigations.
- Deploy, evaluate, and benchmark AI models using PyTorch, vLLM, and related frameworks.
- Develop Python tools, dashboards, scripts, and utilities for testing, monitoring, data collection, and diagnostics.
- Work with cross-functional teams to integrate hardware, software, AI models, and applications into end-to-end solutions.
Requirements
- Currently pursuing a master's degree in computer science, computer engineering, electrical engineering, data science, AI/ML, or a related field.
- Experience with Python programming.
- Familiarity with Linux command-line tools and system administration concepts.
- Understanding of computer architecture, operating systems, networking, or distributed systems.
- Demonstrated ability to solve complex technical problems through coursework, research, projects, competitions, open-source contributions, or internships.
- Ability to work independently, collaborate effectively, and communicate technical findings clearly.
Nice to have
- Experience with C/C++, Bash, Git, Docker, or containerized applications.
- Familiarity with PyTorch, TensorFlow, LLMs, RAG, agentic AI, generative AI, cloud or cluster computing, and GPU or AI accelerator technologies.
- Project experience in AI/ML, robotics, autonomous systems, computer vision, distributed computing, HPC, or end-to-end AI solution development.
Culture & Benefits
- Hands-on experience with AI accelerator and cluster architecture, infrastructure operations, debugging, and performance optimization.
- Learning opportunities in AI model deployment, benchmarking, automation, monitoring, and validation frameworks.
- Competitive compensation package including stock bonuses, health benefits, retirement benefits, and vacation.
- Full-time student internship on Shift 1 in the United States.
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