Lightmatter

Machine Learning Systems Researcher

Mountain View, CA · Full-time

Sponsorship not specified$186k-$240kDetected 5 days ago

Machine LearningDeep LearningNLPValuationElectrical EngineeringResearchAdaptability

About the role

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.

Build tools to model the performance of Passage-enabled systems when running both training and inference workloads for the latest AI models.
Publish academic papers at top industry conferences and journals. Help support the publication of whitepapers, blog posts, and other marketing collateral.

5 years of industry and/or research experience in the field.
Must have knowledge of AI systems, including compute (GPUs, TPUs, etc.) and networking (Ethernet, Infiniband, NVLink, etc.) technologies, and their various topologies, paradigms, and trade-offs.
PhD in Computer Science, Electrical Engineering, or a related field.
2 - 5 years of industry and/or research experience in the field.
Solid background in Machine Learning systems research and experience with performance evaluation and performance modeling.
Hands-on experience with machine learning / deep learning methods and extensive knowledge of Large Language Model training and inference frameworks.
Academic publications in relevant journals and industry conferences.
Ability to independently own projects from conception to completion.

Demonstrated ability to creatively problem-solve and apply first-principles thinking to generate novel ideas, particularly in ambiguous, evolving environments.
Adaptable and versatile, thriving in a high-speed, high-precision environment.

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.
$186,000 - $240,000 USD

Comprehensive Health Care Plan (Medical, Dental & Vision)
Retirement Savings Matching Program
Life Insurance (Basic, Voluntary & AD&D)
Generous Time Off (Vacation, Sick & Public Holidays)
Paid Family Leave
Short Term & Long Term Disability
Commuter Benefits
Equity grants (applicable to full-time employees)
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.
Flexible, hybrid workplace model

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!
Lightmatter is seeking a Machine Learning Systems Researcher to join our Machine Learning team.
This team is focused on inventing novel hardware systems using Lightmatter technology, and modeling the performance of Lightmatter-enabled systems on both training and inference workloads.
This is primarily a creative role where you need to think outside the box to push the boundaries of systems research with the power of silicon photonics at your fingertips.
This role will work closely with our product, solutions architecture, and engineering teams to generate impactful performance analysis, create high-performance rack-scale designs, and publish cutting-edge ML systems research.
Collaborate with our product and solutions architecture teams to design compelling reference platforms for our customers, powered by Lightmatter technology.

This listing is sourced directly from Lightmatter's careers page and normalized into a canonical job model.