Software Engineer - Training Infrastructure

Baseten powers mission-critical inference for AI companies like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. They recently raised a $1.5B Series F led by Altimeter Capital, Conviction Partners, and Spark Capital.

As a Software Engineer on the Training Infrastructure team, you will architect and lead development of the training platform, supporting research engineers and model developers. You will own scheduling, storage, networking, reliability, and observability of technical systems in the training stack.

• Design and architect scalable infrastructure systems for the ML training platform (e.g., scheduling, storage, networking)
• Partner with developers and research engineers to translate complex training requirements into technical solutions
• Design and architect a global training scheduler
• Design and architect reinforcement learning systems and continuous learning pipelines
• Drive long-term improvements to reliability and development velocity
• Partner with SRE and Capacity teams to unlock state-of-the-art training infrastructure
• Make critical architectural decisions balancing performance with reliability
• Lead technical discussions and mentor junior engineers
• Contribute to long-term technical strategy and infrastructure roadmap

• Bachelor’s degree or higher in Computer Science or related field
• Proficiency in Go, with deep expertise with Kubernetes in production environments
• Advanced understanding of distributed systems concepts and performance tuning
• Proven experience designing observability systems
• Experience with ML/AI workloads and MLOps platforms

• Experience with distributed storage systems
• Python experience a plus
• Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius)
• Experience with workload orchestration platforms like Temporal or Airflow
• Familiarity with open source training stack and frameworks (NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, HF Trainer) and distributed training techniques (FSDP, DeepSpeed)
• Experience developing AI products, tooling, or agents

Salary range: $165K – $330K, plus equity. Benefits include 100% coverage of medical, dental, and vision insurance for employees and dependents, flexible PTO including company-wide Winter Break, paid parental leave, fertility and family-building stipend through Carrot, and company-facilitated 401(k).