Lightmatter
Posted 1 day ago
Internship
Mountain View, California
Hybrid
Responsibilities
Develop a flexible framework linking package design parameters to thermal and structural performance using physics-based simulation and machine learning. Automate simulation workflows and conduct physical experiments to validate models and support early design decisions.
Qualifications
You are pursuing an MS or PhD in Mechanical Engineering or a related field, with coursework in heat transfer, fluid mechanics, FEA, CFD, and numerical methods. You have experience with thermal and structural simulation tools and proficiency in Python for scripting and data processing.
Python
FEA
CFD
Icepak
Fluent
Flotherm
Ansys
Abaqus
COMSOL
PyTorch
TensorFlow
JAX
Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!
If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.
Lightmatter is (re)inventing the future of computing with light!
About this job
Are you ready to do meaningful internship work on technology that is changing how AI systems are built? Join Lightmatter’s Packaging team to build the foundation of an AI-enabled framework that lets engineers quickly explore package design options and narrow candidates before committing to detailed simulation or hardware builds. You’ll combine physics-based simulation with machine learning, including physics-informed neural networks (PINNs) and other surrogate models, to make fast early predictions that stay physically grounded. Initial use cases include narrowing thermal solutions and predicting warpage, with room to extend to other objectives.
Your work will feed into all upcoming products, POCs, and test vehicles from day one, and your experiments will build fundamental understanding of coupled thermal-structural-optical physics. You’ll be mentored by experienced thermal and thermo-mechanical engineers and learn how first-order analysis, AI surrogates, and high-fidelity simulation complement each other in early design decisions, and how package architecture, materials, and cooling come together in leading-edge AI and HPC products.
Responsibilities:
Requirements:
Preferred Qualifications
We offer competitive compensation. The base salary range for this role determined based on location, experience, educational background, and market data.
Salary Range: total compensation goes beyond base salary, it also includes a new hire equity grant, annual performance-based equity, and other rewards that recognize your impact and contribution.$53—$57 USDBenefits eligibility may vary depending on your employment status and location. Lightmatter recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law.
Export Control
Candidates should have capacity to comply with the federally mandated requirements of U.S. export control laws.
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