Software Engineer

Member of Technical Staff – Distributed Systems – San Francisco, CA (Onsite)

I'm currently hiring for a rapidly growing AI infrastructure company building the orchestration layer for heterogeneous AI compute. They're developing a production platform that partitions, schedules and routes inference workloads across GPUs, CPUs and emerging accelerators, allowing customers to use the best available hardware without redesigning their infrastructure for every new architecture.

The company recently raised an $80M Series A, has generated eight figures in revenue since emerging from stealth and works with frontier AI labs, hyperscalers and AI-native companies. They're now looking for experienced Distributed Systems Engineers who enjoy solving difficult infrastructure problems at scale. This is an opportunity to build scheduling, orchestration and control-plane systems from first principles while working closely with a highly technical team across compilers, runtimes, kernels and hardware.

What they're looking for:

• Strong experience building distributed systems in production
• Experience with scheduling, orchestration, fault tolerance and concurrency
• Knowledge of Kubernetes, RPC frameworks, asynchronous messaging or control-plane infrastructure
• Strong programming experience in Go, C++ or Python
• Experience with AI infrastructure or heterogeneous compute is a plus

Important details:

• Fully onsite in San Francisco, CA
• $150K–$350K base + equity
• Approximately 30 people

Be sure to apply to find out more!