AI Solution Architect Graduate Intern

Location: On-site in Santa Clara, California, United States

Annual salary: $133,498–$133,502 USD

Company

hirify.global develops computing, semiconductor, and AI infrastructure technologies.

What you will do

• Deploy and validate AI accelerator systems and multi-node AI clusters, including provisioning, software installation, and health verification.
• Run AI workload benchmarks, collect telemetry, and identify performance bottlenecks in inference and training workloads.
• Analyze hardware, firmware, driver, networking, and software logs to troubleshoot system failures and stability issues.
• Validate BIOS, firmware, and system software configurations while contributing to test plans and automated validation workflows.
• Develop Python tools, dashboards, scripts, and utilities for testing, monitoring, data collection, cluster management, and diagnostics.
• Integrate hardware, software, AI models, and applications into end-to-end solutions such as generative AI, agentic AI, computer vision, robotics, and hirify.globalligent automation projects.

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 and familiarity with the Linux command line and system administration concepts.
• Understanding of computer architecture, operating systems, networking, or distributed systems.
• Experience or project work demonstrating the ability to solve complex engineering or technical problems.
• Ability to work independently, collaborate with cross-functional teams, and communicate findings clearly.
• Ability to work on-site in Santa Clara, California, United States.

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

• Full-time student internship with Shift 1 working hours in the United States.
• Hands-on learning in AI accelerator architecture, cluster operations, system debugging, performance optimization, model deployment, and validation frameworks.
• Benefits include health coverage, retirement programs, vacation, stock bonuses, and competitive compensation.
• Work involves collaboration with experienced engineers and cross-functional teams.

Hiring process

• The recruiter provides the specific compensation range for the preferred location and role during the hiring process.