Senior ML Hardware Architect (Boston, Bay Area or Remote)

At Lightmatter, we are building chips for artificial intelligence computing. Our architecture leverages unique properties of light to enable fast and efficient inference and training engines. If you're a collaborative engineer or scientist who has a passion for innovation, solving challenging technical problems and doing impactful work...work like building the world's first optical computers, consider joining the team at Lightmatter!

We are seeking a motivated and dedicated hands-on Architect to help develop an ASIC for our next-generation artificial intelligence computing architecture alongside a team of world-class scientists and engineers.

In this role, you will be defining the architecture components for a ground-breaking AI accelerator with emphasis on delivering a high performance while maintaining a low power consumption. You will be part of a team that integrates our high performance photonics compute core into a custom machine learning accelerator SoC. You will also work closely with our software and analog teams to define and optimize the features needed to accelerate the next generation of machine learning algorithms.

Join a tight-knit team where each individual’s contributions directly influence the success of the company and product. You'll have the opportunity to build a new kind of computer from the ground up and to solve groundbreaking challenges along the way. Work with people who love to build and who thrive in technically diverse environments where great ideas are prioritized.

Responsibilities

• Define the hardware architecture for Lightmatter's AI products, including memory systems, data movement systems, and compute engines.
• Author, review, and validate architectural specifications.
• Actively collaborate with the hardware and software teams to perform trade-off analysis between power and performance for AI workloads.
• With other architects, engage in problem solving and contributing with novel architectural ideas.
• Collaborate with design, verification and implementation teams to realize and validate the functionality, performance and power of Lightmatter’s AI products.

Requirements

• 8+ years of experience in ASIC architecture with emphasis on compute performance
• Deep knowledge of memory hierarchies, data movement and their impact on performance
• Experience in mapping software algorithms to hardware accelerators, including ISA definition
• Strong teamwork skills with the ability to collaborate with multiple functional teams across a variety of fields
• Ability to react to change and thrive in a fast-paced (startup) environment
• Experience influencing decisions in a matrix environment
• Meaningful deep knowledge of processor design, accelerators, networks, and/or memory hierarchies
• Demonstrate strong problem solving skills in problems that do not have obvious solutions

Preferred Qualifications

• MS or PhD degree in Computer Science, Computer Engineering, or Electrical Engineering
• Experience in leading a complex architecture project from start to commercial volume chip production in an advanced node
• Experience in making power/performance tradeoffs
• Experience implementing functional or performance models
• Demonstrated technical innovations with impact on AI or high-performance computing

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Short Term & Long Term Disability
• Training & Development
• Work From Home
• Free Food & Snacks
• Wellness Resources
• Stock Option Plan

Base Compensation Range: $231,000 - $254,000. In accordance with the Colorado, California and New York law, the range provided is Lightmatter's reasonable estimate of the compensation for this role. Actual pay will be based on several factors including work experience, location and education.

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.