Principal Machine Learning Infrastructure Researcher

Location: Mountain View, California, United States; flexible hybrid workplace model. Candidates must be able to comply with federally mandated U.S. export control requirements.

Salary: $300,000–$350,000 USD per year in on-target earnings.

Company

hirify.global develops AI data center infrastructure based on silicon photonics, including the Passage 3D-stacked photonics engine for extreme-scale computing.

What you will do

• Track advances in machine learning research and act as the machine learning subject-matter expert.
• Build tools to model Passage-enabled systems across AI training and inference workloads.
• Collaborate with product and solutions architecture teams to design customer reference platforms.
• Generate performance analyses and high-performance rack-scale system designs.
• Publish research papers and support whitepapers, blog posts, and technical collateral.
• Lead a small team of machine learning engineers and deliver published results.

Requirements

• PhD in computer science, electrical engineering, or a related field, with at least 10 years of industry or research experience.
• Strong background in machine learning systems research, performance evaluation, and performance modeling.
• Hands-on experience with machine learning and deep learning methods, including extensive knowledge of large language model training and inference frameworks.
• Academic publications in relevant journals and industry conferences.
• Strong knowledge of AI systems, GPUs, TPUs, Ethernet, InfiniBand, NVLink, and related topologies and trade-offs.
• Proven experience leading a team to deliver published results.

Nice to have

• First-principles problem-solving in ambiguous and evolving environments.
• Ability to communicate complex research outcomes to technical and business stakeholders.
• Experience managing engineers and leading projects across research, product, and business functions.

Culture & Benefits

• Flexible hybrid workplace model.
• Medical, dental, and vision coverage.
• Retirement savings matching, life insurance, and disability coverage.
• Vacation, sick leave, public holidays, and paid family leave.
• Training and development, commuter benefits, and equity grants for full-time employees.