Senior Software Engineer, Lightmatter
ML Hardware Modeling
+Stock Option Plan
Light-powered AI computing
Open for applications
Light-powered AI computing
101-200 employees
Open for applications
+Stock Option Plan
101-200 employees
Company mission
Lightmatter's mission is 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
- 3+ years of industry experience in hardware modeling, system simulation, computer architecture, or related fields
- Proficient with C++ and Python
Desirable
- Familiarity with machine inference and training learning workloads
- Experience with modeling and analysis of machine learning accelerator architectures and/or large-scale distributed systems
- Proficient developing in a Linux-based environment
What the job involves
- In this role, you will be responsible for simulations and analysis of design concepts and planned hardware at multiple levels of scale and detail that will play a key role in the hardware-software codesign of future systems
- Design, development, and maintenance of functional and performance models for design concepts and planned hardware, at both the subsystem and system levels
- Participate in the co-design process by working closely with both hardware and software teams by providing initial pathfinding analysis, developing early analytical models, and more detailed event-based simulations, improving fidelity as designs progress
- Collaborate with machine learning and compiler teams to construct and evaluate the performance of machine learning workloads
- Contribute to successful execution for planned hardware by building detailed cycle approximate performance and functional models that help drive microarchitectural design and validation
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 2022, Lightmatter has raised $113 million across three funding rounds, which is testament to growing industry demand for faster, more effective AI-building solutions. Lightmatter currently has three products on the market - Envise, Passage, and Idiom - and is poised to take on the incumbent chiplet industry with a photonics-based alternative.
Steph
Company Specialist
Insights
Some candidates hear
back within 2 weeks
Company
Funding (last 2 of 5 rounds)
Dec 2023
$155m
SERIES C
Jun 2023
$154m
SERIES C
Total funding: $422m
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 values
- WORK WIDE & PARALLEL: Working on hard problems, we have to go down many different paths quickly to find the right one.
- QUESTION EVERYTHING: People have opinions about what things work and what things don’t work. They’re not always right.
- LET FIRST PRINCIPLES GUIDE YOU: Stand behind statements that you know are true and build something amazing.
- DON'T BE DEFINED BY YOUR JOB TITLE: Many great ideas occur at the boundaries between disciplines.
- BE KIND: Help build the environment you want to work in.
- TAKE RESPONSIBILITY FOR YOUR WORK: Everyone’s contributions are critical to the company’s success.
Company HQ
Financial District, Boston, MA
Articles
Leadership
Nicholas Harris
(CEO)Previously worked as an R&D Product Engineer at Micron Technology, and as a Postdoctoral Fellow at MIT.
Thomas Graham
(COO)Was an M&A Analyst at Morgan Stanley, and worked as an Agency Business Development Manager at Google.
Darius Bunandar
(Chief Scientist)Worked as a Research Collaborator at Caltech, and was a PhD Candidate at MIT.
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