Graduate Engineering Intern

Job Description

We are looking for driven and innovative graduate students to join Solidigm’s engineering team as interns. These internships offer hands-on experience in a collaborative environment where you’ll 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 Master’s 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.