Fireworks AI

Fireworks AI

Fireworks AI is a company that provides a generative AI platform as a service. They use state-of-the-art LLMs and image models to deliver fast and efficient AI solutions. Partnering with leading AI researchers, Fireworks offers models for various use c...

Internet Software & Services
1-10
Founded 2022

Description

  • Architect and build scalable, resilient backend infrastructure for distributed training, inference, and data processing pipelines.
  • Design and implement core backend services with a focus on efficiency and low latency.
  • Lead technical design discussions, mentor engineers, and establish best practices for large-scale machine learning systems.
  • Drive infrastructure optimization for compute cost, storage lifecycle management, and network performance.
  • Collaborate with machine learning, DevOps, and product teams to turn research and product requirements into infrastructure solutions.
  • Evaluate and integrate cloud-native and open-source tools such as Kubernetes, Ray, Kubeflow, and MLFlow.
  • Own systems end to end from design through deployment, with an emphasis on reliability, fault tolerance, and operational excellence.

Requirements

  • Bachelor's degree or equivalent in Computer Science or a related field plus 4 years of experience in software engineering or a related role.
  • 4 years of experience designing, building, and optimizing large-scale backend infrastructure and distributed data systems in cloud environments.
  • Experience with distributed data systems such as PostgreSQL, MySQL, DynamoDB, Apache Spark, Apache Flink, or Apache Kafka.
  • Experience with cloud environments such as AWS, GCP, Azure, or equivalent, including cloud-native platforms and core infrastructure components.
  • 4 years of experience with major server-side programming languages and frameworks such as Python, C++, Go, or TypeScript.
  • 4 years of experience writing technical design documentation and leading cross-functional projects.
  • 3 years of experience developing and maintaining data processing and API systems, including gRPC or Thrift.
  • 3 years of experience conducting A/B testing and scientific experimentation using tools such as Statsig, Meta Deltoid, or Optimizely.
  • 3 years of experience conducting coding interviews and providing structured feedback to engineering candidates.
  • 2 years of experience with cloud-native tools and infrastructure such as Docker and Kubernetes.
  • 2 years of experience defining and implementing data-driven metrics to support company or team goals.

Benefits

  • Base salary range of $175,000 to $220,000 USD.
  • Meaningful equity in a fast-growing startup.
  • Competitive salary.
  • Comprehensive benefits package.
  • Opportunity to work with cutting-edge AI infrastructure and large-scale model serving systems.
  • High ownership and direct impact in a fast-growing, low-bureaucracy environment.
  • Opportunity to collaborate with world-class engineers and AI researchers.

Interested in this position?

Apply directly on the company website

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