6 months ago
Base Salary
$230k - $385k/yr
Responsibilities
- Own critical infrastructure across design, implementation, rollout, operation, and iteration.
- Build and operate performant backend systems in Rust or C++ supporting core research workflows.
- Design and improve distributed data and serving systems involving partitioning, replication, consistency, retries, backpressure, and failure isolation.
- Debug production bottlenecks involving latency, throughput, contention, hot spots, and overload behavior.
- Operate business-critical services through on-call, incidents, postmortems, observability, rollout safety, and zero-downtime migrations.
- Improve the reliability of services running on Kubernetes through resource tuning and failure handling.
- Partner with engineers and researchers to deliver fast, reliable, useful systems.
- Raise technical standards through judgment, ownership, and follow-through.
Requirements
- Track record of owning operationally critical systems end to end and delivering outcomes in ambiguous environments.
- Strong hands-on experience building performance-sensitive backend systems in Rust or C++.
- Experience with concurrency, asynchronous execution, memory behavior, serialization, I/O, networking, profiling, and failure analysis.
- Experience designing, building, or operating distributed systems or distributed databases at meaningful scale.
- Preferably, experience with ClickHouse-like systems or infrastructure for analytics, telemetry, logging, search, ingestion, storage, or query execution.
- Hands-on experience operating production-critical systems, including incidents, observability, rollout safety, and recurrence prevention.
- Strong judgment in balancing engineering quality, speed, risk, and business impact.
- Ability to ship practical first versions and improve them through production feedback.
Benefits
- Hybrid work model requiring 3 days in the San Francisco office per week.
- Relocation assistance is offered to new employees.
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.