Who you are

• PhD in Computer Science, Electrical Engineering, or a related field and at least 10 years of industry 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
• Strong knowledge of AI systems, including compute (GPUs, TPUs, etc.) and networking (Ethernet, Infiniband, NVLink, etc.) technologies, and their various topologies, paradigms, and trade-offs
• Proven track record leading a team to deliver published results
• Demonstrated ability to creatively problem-solve and apply first-principles thinking to generate novel ideas, particularly in ambiguous, evolving environments
• Exceptional skills in communicating complex research outcomes and technical concepts to partners and internal stakeholders, while embodying our value of speaking truth
• Ability to work across research, product, and business functions, rolling up your sleeves to bridge gaps and accelerate outcomes, while demonstrating the core value of "We are one Lightmatter."
• Adaptable and versatile, thriving in a high-speed, high-precision environment
• Experience in managing engineers and leading projects, with the ability to lift up the team, and work with high standards and high collaboration

What the job involves

• Lightmatter is seeking a Principal of Machine Learning Infrastructure 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
• You'll stay up to date on the latest advancements in Machine Learning research
• Build tools to model the performance of Passage-enabled systems when running both training and inference workloads for the latest AI models
• Collaborate with our product and solutions architecture teams to design compelling reference platforms for our customers, powered by Lightmatter technology
• Function as the Machine Learning expert in the room
• Publish academic papers at top industry conferences and journals. Help support the publication of whitepapers, blog posts, and other marketing collateral
• Lead a small team of Machine Learning engineers

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