Principal Machine Learning Infrastructure Researcher

Highlights

• Invent novel hardware systems using silicon photonics for AI workloads.
• Design high-performance rack-scale platforms for Lightmatter customers.
• Publish cutting-edge ML systems research at top conferences.

What they offer

• 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
• Training & Development
• Commuter Benefits
• Flexible, hybrid workplace model
• Equity grants

Ideal candidate

Creative systems researcher with deep research background who loves pushing boundaries with novel hardware. Collaborative leader who thrives in ambiguity and bridging research with product to deliver impact.

Requirements

• PhD in Computer Science, Electrical Engineering, or a related field and at least 10 years of industry or research experience
• 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