2026 Graduate Engineering Internship United States

We are looking for driven and innovative graduate students to join Solidigms engineering team as interns. These internships offer hands-on experience in a collaborative environment where youll contribute to impactful projects and explore emerging technologies.

Eligible Majors

• Electrical Engineering
• Computer Engineering
• Computer Science
• Data Science / Data Analytics
• Mechanical Engineering
• Other related Science or Engineering Discipline

Solidigm is seeking passionate and driven graduate-level interns to join our Engineering teams. This internship offers a unique opportunity to work on impactful projects across multiple domains including firmware development technology pathfinding hardware validation strategic planning reliability engineering and AI-driven innovation.

Key Focus Areas:
Interns will be matched to projects based on their skills and interests across the following tracks:

 Firmware Engineering

• Contribute to firmware development and validation for next-gen SSD products.
• Work on code coverage improvements debugging and tool enhancements.
• Collaborate in agile teams to groom and execute backlog tasks.

 Technology Development & Validation

• Support system-level workload studies and performance benchmarking.
• Develop and execute test plans for media policy and backend test flows.
• Assist in thermal mechanical validation and lab automation.

 Hardware Engineering

• Participate in high-speed I/O characterization and NAND testing.
• Build and enhance test programs using advanced equipment (e.g. T5835).
• Support immersion cooling capability development and lab setup.

 Strategy & Data Analytics

• Build AI dashboards and visualizations using PowerBI and Snowflake.
• Analyze customer/product data and competitive insights using ML/AI techniques.
• Collaborate cross-functionally with Global Ops IT and Strategy teams.

 AI & Automation

• Develop AI-powered tools to streamline workflows and improve code quality.
• Explore vector indexing and inference benchmarking using GPU/NVME platforms.
• Create intelligent dashboards for predictive metrics and decision-making.

Qualifications :

Not all qualifications are necessary for each role

Preferred Qualifications:

• Currently pursuing a Masters or PhD in Computer Engineering Electrical Engineering Computer Science Data Analytics or related field.
• Experience with C Python PowerBI ML/AI frameworks or hardware testing tools.
• Strong analytical problem-solving and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.

Additional Information :

What Youll Gain:

• Hands-on experience with cutting-edge technologies and tools.
• Mentorship from experienced engineers and leaders.
• Exposure to real-world challenges and strategic initiatives.
• Opportunity to contribute to impactful projects and innovations.

Work locations include Rancho Cordova CA   Folsom CA San Jose CA or Longmont CO

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

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Remote Work :

No

Employment Type :

Intern