d-Matrix Logo

d-Matrix

Applied AI Engineering Intern

Posted 19 Hours Ago
Be an Early Applicant
Hybrid
Santa Clara, CA, USA
30-60 Hourly
Internship
Hybrid
Santa Clara, CA, USA
30-60 Hourly
Internship
The intern will design and implement AI solutions for manufacturing workflows, focusing on LLMs to improve operational efficiency, data management, and collaboration across teams.
The summary above was generated by AI

At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.

We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution.  Ready to come find your playground? Together, we can help shape the endless possibilities of AI. 

Applied AI Engineering Intern

Intelligent Manufacturing Systems

About d-Matrix

At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions.

About the Role

As an Applied AI Engineering Intern on the Intelligent Manufacturing Systems team, you will design and implement AI-powered solutions that directly improve manufacturing workflows, yield, and operational throughput. You’ll work hands-on with production data, build and deploy ML models, and collaborate with cross-functional teams spanning hardware engineering, operations, and supply chain.

Responsibilities

You’ll work at the intersection of LLMs and manufacturing—turning messy real-world data into systems that ship product faster and catch problems earlier.

• Build AI agents that diagnose why hardware tests fail—clustering failure signatures, surfacing probable root causes, and helping engineers skip weeks of manual triage

• Design LLM-powered pipelines that ingest unstructured supplier and factory reports and turn them into structured, queryable data visible to the team in real time

• Prototype intelligent document workflows that reconcile financial and procurement records, flagging discrepancies that today require hours of manual cross-checking

• Benchmark multiple LLM backends (cloud and local) across your workloads to find the right cost–quality–latency trade-offs for production deployment

• Collaborate with test, quality, and operations engineers to validate that what the models say actually matches what happens on the floor

Qualifications

• Pursuing a Master’s or PhD in Computer Science, Electrical Engineering, Industrial Engineering, or a related field

• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or scikit-learn)

• Experience with data analysis and visualization (Pandas, NumPy, Matplotlib)

• Familiarity with at least one of: time-series analysis, anomaly detection, optimization, or computer vision

• Exposure to manufacturing, semiconductor, or hardware environments is a plus

• Familiarity with version control (Git) and Linux-based development workflows

Nice to Have

• Prior internship or project experience in manufacturing analytics, digital twin, or process optimization

• Experience with LLMs/generative AI for structured data or knowledge extraction

• Exposure to statistical process control (SPC) or Six Sigma concepts

Details

Location: Santa Clara, CA (Hybrid)

Compensation: $30–$59/hr (commensurate with experience and education)

Duration: 12 weeks (Summer 2026)

d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn togeth

Equal Opportunity Employment Policy

d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.

d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.

HQ

d-Matrix Santa Clara, California, USA Office

5201 Great America Pkwy, Santa Clara, CA, United States, 95054

Similar Jobs

An Hour Ago
Remote or Hybrid
2 Locations
120K-190K Annually
Mid level
120K-190K Annually
Mid level
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
The role involves supporting research collaborations in oncology, engaging KOLs, managing study proposals, and contributing to medical writing and strategy development.
Top Skills: AIGenomic Testing
An Hour Ago
Hybrid
75K-229K Annually
Mid level
75K-229K Annually
Mid level
Consumer Web • Coupons • Healthtech • Social Impact • Pharmaceutical
The Software Engineer III will design, implement, and maintain scalable systems, collaborate with cross-functional teams, write clean code, and utilize AI tools effectively.
Top Skills: AWSCircleCICloudwatchCodefreshDatadogDynamoDBGithub ActionsGoGraphQLGrpcKubernetesMySQLPostgresPythonRedisSentrySumo Logic
3 Hours Ago
In-Office or Remote
113K-193K Annually
Expert/Leader
113K-193K Annually
Expert/Leader
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead Software Engineer responsible for backend services and API development, setting technical direction, and driving automation and mentoring engineers. Focus on improving health outcomes and software quality using AI tools.
Top Skills: Ai ToolsAPIsCi/CdGoGraphQLRest

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account