Software Engineer, Infrastructure [Early Career]

About Us: 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: As a Software Engineer on our Infrastructure team, you will help design and build the core systems that power Fireworks AI’s generative AI platform. You will work on projects that support distributed AI workloads across multiple cloud environments, building tools and services that keep our platform fast, reliable, and scalable. This is an exciting opportunity for a new graduate who wants to grow as a software engineer and work hands-on with infrastructure, distributed systems, and large-scale machine learning platforms. You will collaborate closely with experienced engineers, learn from technical mentors, and contribute to the next generation of AI infrastructure. Key Responsibilities: Contribute to the design and development of scalable backend infrastructure that supports distributed training, inference, and data pipelines Build and maintain core backend services such as job schedulers, autoscalers, resource managers, and model serving systems Support performance optimization, cost efficiency, and reliability improvements across compute, storage, and networking layers Collaborate with ML, DevOps, and product teams to translate research and product needs into infrastructure solutions Learn and apply modern cloud technologies including Kubernetes, Ray, Kubeflow, and MLFlow Participate in code reviews, technical discussions, and continuous integration and deployment processes Minimum Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience) Strong programming skills in Python, C++, or a similar language Solid understanding of computer systems concepts such as networking, storage, and distributed computing Familiarity with cloud platforms like AWS, GCP, or Azure, and containerization tools like Docker or Kubernetes Knowledge and interest in cloud infrastructure, distributed systems, and machine learning Preferred Qualifications: 2+ years of relevant industry experience through internships, co-ops, or full-time employment Experience with ML frameworks such as PyTorch, TensorFlow, Vertex AI, or SageMaker Exposure to infrastructure-as-code and CI/CD tools such as Terraform, ArgoCD, or GitHub Actions Contributions to open-source infrastructure or ML projects Strong problem-solving skills and curiosity to learn new technologies Deadline to apply: November 7th at 11:59 PM PT 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. The listed salary range is intended as a guideline and may be adjusted. Base Pay Range (Plus Equity) $140,000—$150,000 USD Why Fireworks AI? Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.