Member of Technical Staff
Fireworks AI3 months ago
Base Salary
$175k - $220k/yr
Responsibilities
- Architect and build scalable, resilient backend infrastructure for distributed training, inference, and data-processing pipelines.
- Design and implement efficient, low-latency core backend services.
- Lead technical design discussions, mentor engineers, and establish best practices for large-scale machine learning systems.
- Optimize compute costs, storage lifecycle management, and network performance.
- Collaborate with machine learning, DevOps, and product teams to translate research and product requirements into infrastructure solutions.
- Evaluate and integrate cloud-native and open-source technologies including Kubernetes, Ray, Kubeflow, and MLFlow.
- Own systems end to end from design through deployment, emphasizing reliability, fault tolerance, and operational excellence.
Requirements
- Bachelor's degree or equivalent in Computer Science or a related field, plus four years of software engineering or related experience.
- Four years of experience designing, building, and optimizing large-scale backend infrastructure and distributed data systems in cloud environments.
- Four years of experience with major server-side programming languages and frameworks such as Python, C++, Go, or TypeScript.
- Four years of experience writing technical design documentation, leading cross-functional projects, and collaborating across teams.
- Three years of experience developing and maintaining data-processing and API systems, including client-server communication frameworks such as gRPC or Thrift.
- Three years of experience conducting A/B testing and scientific experimentation using tools such as Statsig, Meta Deltoid, or Optimizely.
- Three years of experience conducting coding interviews and providing systematic feedback for engineering candidates.
- Two years of experience with cloud-native tools and infrastructure such as Docker and Kubernetes.
- Two years of experience defining and implementing data-driven metrics to support company or team goals.
Tech Stack
Amazon DynamoDBApache FlinkApache KafkaApache SparkAWSAzureC++DockerGoGoogle Cloud PlatformgRPCKubernetesMLflowMySQLPostgreSQLPythonPyTorchTypeScript
Categories
About 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.