Member of Technical Staff, Software Engineer

Fireworks AISan Mateo, CA
3d$175,000 - $220,000

About The Position

At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. The Role You’ll help build the core systems powering Fireworks AI — from customer-facing APIs and product features to the distributed infrastructure running AI workloads at scale. This is a true full-stack backend + infra role. You’ll design systems, ship product, and own everything end-to-end, not just tickets.

Requirements

  • 5+ years building backend or infrastructure systems
  • Strong distributed systems fundamentals
  • Experience with cloud (AWS/GCP/Azure)
  • Familiar with ML/AI tooling or platforms
  • Comfortable working with both humans and AI systems

Nice To Haves

  • Experience with large-scale ML infrastructure
  • Kubernetes / cloud-native stack
  • Infra-as-code, CI/CD, or open-source contributions

Responsibilities

  • Build and scale backend services and distributed systems
  • Own systems from design → production → reliability
  • Work directly with customers to solve real problems
  • Optimize performance, cost, and developer experience
  • Move fast and use AI tools to automate everything you can

Benefits

  • Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package.
  • Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location.
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