ASIC Network Architect

Highlights

• Define networking architecture for next-gen super-pod scale ML hardware.
• Own ML networking roadmap across silicon, systems, and software teams.
• Advance RDU-powered AI infrastructure for agentic and long-running workloads.

What they offer

• Equity as part of competitive total rewards package
• 95% employee medical premium coverage, 77% for dependents
• Health Savings Account (HSA) with employer contribution
• Dental, Vision insurance plus FSA options
• Short/Long-term Disability, Basic, Voluntary Life and AD&D insurance
• Headspace subscription, Gympass+ and One Medical membership
• Employee Assistance Program counseling services

Ideal candidate

Self-driven network architect with deep ML silicon experience who thrives in ambiguity, leads cross-functionally, and cares about turning real-world AI workloads into performant, robust fabrics.

Requirements

• B.S. in Computer Science, Computer Engineering or Electrical Engineering
• 10+ years of industry experience in ML silicon development in GPU, ML accelerator or networking ASIC
• Proven track record of full-cycle development and delivery from planning to product in networking silicon
• Track record of ownership and definition of networking and routing protocols
• Deep understanding and hands-on experience defining networking topologies for large clusters
• Deep understanding of congestion management, QoS and security isolation
• Deep understanding of networking reliability, availability and serviceability
• Capable of analyzing network performance from real-world application data
• Capable of breaking down networking requirements into silicon, packaging and software requirements
• Strong hands-on analytical and debug skills in ambiguous, dynamic environments
• Strong coding skills with C++, Python, or Rust
• Cross-functional team leadership experience with strong collaboration skills