Graduate Software, Firmware & AI Engineering Internships

Key Responsibilities

Interns may be assigned one or more of the following responsibilities based on project needs, team priorities, and individual strengths:

• 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.

• 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.

• 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.

Work locations may include Rancho Cordova, CA;
San Jose, CA; or other U.S. Solidigm locations based on business need and internship assignment.

Internship availability and project scope may vary by team, degree level, and business requirements.

All your information will be kept confidential according to EEO guidelines.