Fireworks

Member of Technical Staff, New Grad (BS/MS)

San Mateo, Remote. Posted 2 months ago

The role

You will design, build, and deploy production code for an inference platform. You will work on tasks ranging from model training and fine-tuning to distributed systems and cloud infrastructure.

What you will do

  • Design, build, and deploy features and services
  • Take problems from idea through design, implementation, testing, rollout, and operation
  • Improve performance, efficiency, and scalability of systems
  • Build with, on top of, or underneath large models
  • Debug unfamiliar code and failures to find root causes
  • Collaborate with engineers, researchers, product, and customers

Required qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, completed within the last 6 months or before the end of 2026
  • Strong programming fundamentals and solid grounding in data structures, algorithms, and systems
  • Practical software engineering experience through internships, research, open-source contributions, or substantial personal projects
  • Proficiency in at least one of Python, C++, Go, Rust, TypeScript, or a comparable language
  • Fluency with AI coding harnesses
  • Clear written and verbal communication
  • Comfort with ambiguity, fast iteration, and high ownership

Nice to have

  • Hands-on experience building with LLMs or other ML models
  • Experience with GPU programming, CUDA, kernel optimization, or performance profiling
  • Experience with distributed systems, Kubernetes, or cloud infrastructure (AWS/GCP/Azure)
  • Experience with PyTorch, model training, fine-tuning (SFT, RLHF/RFT), or inference serving
  • Experience shipping a full-stack or agentic application end to end
  • Familiarity with evaluation, RAG systems, or observability for ML systems
  • Open-source contributions, competitive programming, or research publications

About the company

Fireworks is a platform for specialized intelligence that enables companies to build, train, and serve AI models. It is a Series D company valued at $17.5 billion.