ML Hardware Accelerator Modeling, Lightmatter
$180-225k
Light-powered AI computing
Job no longer available
Light-powered AI computing
201-500 employees
Job no longer available
$180-225k
201-500 employees
Company mission
To build an engine that will power discoveries, drive progress, and redefine what computers and human beings are capable of.
Role
Who you are
- BS or higher in computer/software engineering, electrical engineering, or related field
- 5+ years of industry experience in mapping algorithms to hardware accelerators, hardware modeling, computer architecture, or related fields
- Proficient with C++ and Python
- Strong understanding of computer architecture
Desirable
- Familiarity with machine learning workloads
- Experience in mapping software algorithms to hardware accelerators
- Experience with modeling and analysis of machine learning accelerator architectures
- Proficient developing in a Linux-based environment
- Experience working with or modeling distributed hardware and workloads
What the job involves
- Design, development, and maintenance of functional and performance models of upcoming hardware
- Participate in the co-design process by working closely with hardware teams to iterate on early performance models, adding fidelity as designs progress
- Collaborate with machine learning teams to construct and evaluate the performance of machine learning workloads
- Build cycle approximate performance and bit-accurate functional models that further the co-design process and allow the software teams to build and optimize our next generation software stack
- Collaborate with Design Verification teams to validate hardware against the simulators
- Contribute to a system-level simulator that integrates the accelerator simulator into a larger system simulator
- Support the development and optimization of our software stack by diagnosing and fixing issues across the simulator and software stack
Our take
Neural networks and CPUs are vital to AI solutions, but manufacturers have largely failed to maintain innovation in recent years. Lightmatter solves this problem by offering a next-generation computing platform powered by photonics (light waves).
Lightmatter offers a forward-facing platform for AI-building that acts as an alternative to traditional solutions. It works by replacing wired CPUs with a combination of photonics and new algorithms. Lightmatter's solution is not only faster, but it is considerably more sustainable, and it has the potential to drive the next generation of AI development.
As of early 2026, Lightmatter had raised $850 million across six funding rounds and grown to a staggering valuation of $4.4 billion. This showcases the growing demand for faster, more effective AI-building solutions. With products already on the market and a roadmap to tackle even more components in the years ahead, the future for Lightmatter certainly looks bright.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Oct 2024
$400m
SERIES D
Dec 2023
$155m
SERIES C
Total funding: $822m
Company benefits
- Commuter benefit
- Happy hour -Spend time together and build friendships
- Generous vacation policy and holidays
- 401(K)
- Opportunity to learn from your peers and teach them what you know across electronics, photonics, machine learning, and more
Company HQ
Old Mountain View, Mountain View, CA
Leadership
Nicholas Harris
(CEO & Co-Founder)Previously worked as an R&D Product Engineer at Micron Technology, and as a Postdoctoral Fellow at MIT.
Thomas Graham
(Head of ML & Co-Founder)Was an M&A Analyst at Morgan Stanley, and worked as an Agency Business Development Manager at Google.
Darius Bunandar
(Chief Scientist & Co-Founder)Worked as a Research Collaborator at Caltech, and was a PhD Candidate at MIT.
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