Senior Systems Engineer - AI Infrastructure

Location: On-site in Palo Alto, California

Base salary: $150,000–$210,000 per year, plus eligibility for the company equity program.

Company

hirify.global develops software-driven fabrics for improving GPU cluster utilization through cross-stack observability, workload fault tolerance, and performance acceleration.

What you will do

• Design and implement low-level systems software for GPU clusters.
• Work with and extend internals of PyTorch, NCCL, and the CUDA runtime.
• Build components that improve the reliability and efficiency of large-scale GPU training.
• Debug complex distributed and concurrent systems with subtle, non-deterministic failures.
• Own systems end-to-end, from design through production.

Requirements

• Experience designing and building complex systems at the systems layer.
• Strong C and C++ skills in systems contexts.
• Deep understanding of concurrency and memory models.
• Ability to reason about consistency, ordering, and partial failures in distributed systems.
• Comfort reading and modifying large, unfamiliar codebases.
• Availability to work on-site in Palo Alto, California.

Nice to have

• GPU programming with CUDA or GPU systems experience.
• High-performance networking, including RDMA and InfiniBand.
• Experience with ML framework or runtime internals.
• Cluster scheduling or orchestration systems experience.

Culture & Benefits

• Challenging systems and AI infrastructure projects.
• Friendly and inclusive workplace culture.
• Competitive compensation and a benefits package.
• Catered lunch.
• Eligibility for participation in the company equity program.