ML HW-SW Co-design Software Manager (AI)

TL;DR

ML HW-SW Co-design Software Manager (AI): Leading a multi-disciplinary team to evolve software for hardware-software co-design in machine learning acceleration with an accent on numerics, performance optimization, and novel model architecture exploration. Focus on defining strategy for next-generation ML accelerators and ensuring high-quality delivery aligned with tight schedules.

Location: Onsite in Mountain View, California, US

Company

hirify.global is a team of scientists, engineers, and ML experts advancing state-of-the-art artificial intelligence for public benefit and scientific discovery.

What you will do

• Lead multi-disciplinary ML software engineers focused on numerics, performance optimization, and novel model architecture exploration.
• Collaborate closely with the hardware team to define and drive strategy for next-generation machine learning accelerators.
• Manage relationships and technical execution across a virtual team that spans Google and outside partners.
• Drive the team to deliver high-quality results aligned to tight schedules.

Requirements

• Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience.
• 10+ years of experience in ASIC design and development.
• 3+ years of Management Experience.
• Proven track record of technical leadership and successfully delivering complex silicon projects to production.
• Deep expertise in at least one core silicon discipline (e.g., RTL, PD, DV) and strong familiarity with the entire ASIC flow.
• Experience with managing silicon vendors and other external partners.

Nice to have

• Master's or Ph.D. in a related field.
• Experience leading and managing teams across the full silicon development cycle, from RTL to bringup.
• Experience with high-performance compute IPs (e.g., GPUs, ML accelerators).
• Knowledge of high-performance and low-power architectures for ML acceleration.

Culture & Benefits

• Unique culture and work environment where long-term ambitious research can flourish.
• Team values strong leadership, technical depth, and a collaborative spirit.
• Opportunity to invent novel solutions and adapt to changing project directions.
• Collaboration on critical challenges, ensuring safety and ethics are the highest priority in AI development.