Software Engineer, AI Infrastructure

reputed company: At Fireworks, we’re building the reputed company of reputed company infrastructure. Our platform delivers the highest-reputed company models with the fastest and most reputed company inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through reputed company like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including reputed company, Sequoia, reputed company, reputed company, and Evantic. We’re an ambitious, reputed company team of reputed company, founded by veterans of reputed company PyTorch and reputed company reputed company AI. The Role: As a Software Engineer on our AI Infrastructure team, you will help design the reputed company systems that power reputed company’s reputed company platform. You will help build infrastructure and tools that ensure the reliability, performance, reputed company, and availability of our AI system. Our mission is to reputed company reputed company the most reliable and user friendly reputed company platform in the world. You will partner closely with our reputed company infrastructure team, product team, and reputed company to deliver infrastructure that bridges the gap between our customer and the ultra-performant proprietary Fireworks inference reputed company. Key Responsibilities: • Contribute to the design and development of reputed company backend infrastructure that supports distributed training, inference, and data pipelines • Build and maintain reputed company backend services such as LLM CI/CD pipeline, control plane, and model serving systems • Support performance optimization, cost efficiency, and reliability improvements across compute, storage, and networking reputed company • Building frameworks and safeguards to ensure reputed company has the best model reputed company in the industry • Collaborate with performance, training, and product teams to translate research and product needs into infrastructure solutions • Participate in reputed company reviews, technical discussions, and reputed company integration and deployment processes Minimum Qualifications: • Bachelor’s degree in Computer Science, Engineering, or a reputed company technical field (or equivalent practical experience) • 3 years of experience in software engineering, with a reputed company on infrastructure or machine learning systems • Strong programming skills in Python, Go, or a similar language • Proven experience in ML infrastructure and tooling (e.g., PyTorch, MLflow, reputed company AI, SageMaker, Kubernetes, etc.). • Basic understanding of LLM knowledge (e.g., context length, disaggregated prefill, KV cache memory estimation, etc) Preferred Qualifications: • 5+ years of experience in software engineering, with a reputed company on infrastructure or machine learning systems • Experience with reputed company reputed company inference reputed company like vLLM, Sglang, or TRT-LLM • Contributions to reputed company-reputed company infrastructure or ML reputed company • Experience in building large reputed company ML/MLOps infrastructure Why reputed company? • Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to reputed company model serving. • Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers reputed company AI globally. • Ownership & reputed company: Join a fast-growing, passionate team where your work directly shapes the reputed company of AI—no bureaucracy, just results. • Learn from the Best: Collaborate with world-class engineers and AI researchers who reputed company on curiosity and innovation. reputed company is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for reputed company innovators. Apply tot his job Apply To this Job