Fireworks’ state of the art training and inference platform take you beyond the frontier, transforming open models into your specialized intelligence. Backed by Bessemer, Index and Lightspeed.
About the role
As a Member of Technical Staff on our Traffic Infrastructure team, you will own the traffic layer behind our generative AI platform: the proxies, load balancers, service mesh, and routing systems that move every request reliably across regions and cloud providers. This is a highly technical role that calls for depth in distributed systems, cloud networking, and infrastructure, along with the judgment to balance latency, cost, and operational simplicity. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
- 5+ years of experience building backend or network infrastructure in cloud environments (e.g., AWS, GCP, Azure)
- Strong software development skills in languages such as Go, C++, Rust, Java, or Python
- Deep understanding of distributed systems and networking fundamentals, including performance optimization
- Full product lifecycle ownership, from design through implementation to production
- Master's or PhD in Computer Science or a related field
More about this role
Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
As a Member of Technical Staff on our Traffic Infrastructure team, you will own the traffic layer behind our generative AI platform: the proxies, load balancers, service mesh, and routing systems that move every request reliably across regions and cloud providers. This is a highly technical role that calls for depth in distributed systems, cloud networking, and infrastructure, along with the judgment to balance latency, cost, and operational simplicity. You will partner closely with ML, product, and platform teams, and help set the technical direction for the team.
Architect and...
Browse similar: AI jobs · AI startup jobs · Startup jobs · Remote jobs · San Francisco Bay Area