2027 Graduate Software, Firmware & AI Engineering Internships - US

Solidigm is a global memory technology company developing data storage solutions. The company is seeking graduate students for internships supporting software development, firmware engineering, embedded systems, AI/ML, and SSD validation and debugging. Interns will design tools, contribute to firmware and embedded software projects, apply AI techniques, automate testing, analyze results, and collaborate with cross-functional engineering teams.

What you'll do:

• Design, develop, test, and maintain software tools or infrastructure that support engineering workflows and product development
• Contribute to firmware features, embedded software, test environments, or debug workflows for SSD and storage-related technologies
• Apply machine learning, data analysis, or AI techniques to improve engineering productivity or validation efficiency
• Explore or implement AI-assisted tools and workflows that help automate engineering tasks
• Build automation frameworks and scripts to improve firmware testing and regression execution
• Support validation of software or firmware functionality; analyze failures and assist with root-cause analysis
• Analyze test results, logs, and performance metrics to identify trends and improvement opportunities
• Collaborate with cross-functional firmware, software, validation, and hardware teams; document tools and debug findings

What they're looking for:

• Currently pursuing a Master's or Ph.D. degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, or a related technical discipline
• Experience with a programming language such as Python, C, C++, or Java
• Familiarity with Linux-based development environments and version control (e.g., Git)
• Strong analytical, debugging, and problem-solving skills
• Ability to work independently and collaboratively in a technical team environment
• Experience with firmware development, embedded software, or low-level systems programming
• Familiarity with SSDs, NAND flash, NVMe, PCIe, or storage systems
• Experience with software validation, test automation, or regression frameworks
• Exposure to AI/ML concepts, LLMs, AI agents, or applied machine learning workflows
• Experience building automation using Python, shell scripting, or CI/CD tools
• Familiarity with performance analysis, log analysis, or telemetry

Benefits:

• Work on meaningful projects tied to real engineering and business needs.
• Gain hands-on experience with software, firmware, AI, and storage technologies.
• Collaborate with experienced engineers and cross-functional teams.
• Develop practical skills in debugging, automation, and AI-enabled workflows.
• Present your work and contribute to solutions that may influence future products.
• Grow your professional network through mentorship and intern program activities.