
Fireworks AI
Fireworks AI builds a generative AI platform for developers and enterprises to train, fine-tune, and serve open models for production use across text, image, audio, embeddings, and multimodal workloads. It offers managed inference and tooling via APIs on globally distributed infrastructure, with a usage-based SaaS model. Founded in 2022 and headquartered in San Mateo, CA, Fireworks AI is a privately held, Series D company.
Open Positions at Fireworks AI
26 open positions
Build and operate the scalable data platform powering Fireworks’ AI business, including its warehouse, ETL orchestration, governance, compliance, and data quality systems. This role combines data infrastructure engineering with reliable production operations and privacy-focused platform ownership.
Own the traffic infrastructure powering Fireworks’ generative AI platform, including proxies, load balancers, service mesh, and routing across regions and cloud providers. This senior infrastructure role combines distributed systems expertise with technical leadership and end-to-end operational ownership.
Build the high-performance data infrastructure that stores, caches, and moves datasets, checkpoints, model weights, and KV cache for large-scale GPU workloads. This role focuses on distributed storage, caching, Linux I/O, and cross-cloud data movement for AI systems.
Fireworks is seeking a product-minded growth engineer to build the systems and user experiences that move developers from discovery to successful API usage and long-term adoption. The role combines full-stack product development, experimentation, funnel analysis, and close collaboration with customers and cross-functional teams.
Analytics Engineers will own end-to-end data domains for Finance, Product-Led Growth, People, or Partnerships, combining analytics modeling, dashboards, and data platform engineering. The role offers ownership of a business function while contributing to shared data standards and infrastructure.
Join Fireworks as a 2026 PhD new graduate building the scheduling, storage, caching, and networking systems that power large-scale AI training and inference. You’ll turn systems research into production infrastructure running across fleets of tens of thousands of accelerators.
Join Fireworks as an Applied Machine Learning Engineer building, fine-tuning, and deploying AI systems for real customers. This new-grad role combines hands-on ML engineering, customer-facing proof-of-concepts, and contributions to a production ML platform.
Build production AI infrastructure and product capabilities for Fireworks’ EMEA field team, spanning inference, model serving, fine-tuning, and post-training tooling. This flexible role is designed for exceptional software engineers with 3–10 years of experience.
Own reliability across Fireworks AI’s cloud and AI infrastructure, from SLOs and observability to incident response, failure testing, and automation. You’ll solve cross-system production problems and make high-throughput AI systems dependable at scale.
Own foundational enterprise capabilities that let large customers securely run Fireworks in production, spanning backend systems, identity, authorization, billing, encryption, and cloud deployment. You’ll turn customer and security requirements into end-to-end features that operate safely across live AI infrastructure.
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