Inactive
D

d-Matrix

Delivers memory-integrated AI compute platforms

Applied AI Engineer Intern

Applied Machine LearningPosted on Jun 2
Internship · Summer 2026Santa Clara, CA, USA$30 - $60 /hrHybrid

About the Job

Requirements

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

Responsibilities

  • 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

Desired Qualifications

  • 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

About the Company

d-Matrix

Delivers memory-integrated AI compute platforms

d-Matrix provides scalable AI compute platforms for large datacenters with a focus on energy efficiency. Its core offering, the digital in-memory compute (DIMC) engine, places compute directly in programmable memory and uses a fabric of low-power, modular chiplets plus software to optimize AI inference. It differentiates itself by combining memory-integrated computation with a modular, chiplet-based design that reduces power use and data movement for high-volume workloads. The goal is to help large datacenters run AI workloads more efficiently at scale through customizable, energy-efficient compute solutions.

Company size
201-500
Company stage
Series C
Total funding
$429M
Headquarters
Santa Clara, CA
Founded
2019

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