Software Engineer - Training Infrastructure

Stack

Responsibilities

• ▹Design and architect scalable infrastructure systems for the ML training platform (e.g. scheduling, storage, and networking)
• ▹Partner closely 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 system reliability and development velocity
• ▹Partner closely with SRE and Capacity teams to unlock state-of-the-art training infrastructure
• ▹Make critical architectural decisions balancing performance with system reliability
• ▹Lead technical discussions and mentor junior engineers on infrastructure best practices
• ▹Contribute to long-term technical strategy and the infrastructure roadmap

Requirements

• ▹Bachelor's degree or higher in Computer Science or a related field
• ▹Proficiency in Go, with Python experience a plus
• ▹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 highly valued

Nice to have

• ▹Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius)
• ▹Experience with distributed storage systems
• ▹Experience with workload orchestration platforms like Temporal or Airflow
• ▹Familiarity with the 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

Soft skills

What we offer

• ▹Competitive compensation, including meaningful equity
• ▹100% coverage of medical, dental, and vision insurance for employee and dependents
• ▹Flexible PTO policy including company-wide Winter Break (offices closed from Christmas Eve to New Year's Day)
• ▹Paid parental leave
• ▹Fertility and family-building stipend through Carrot
• ▹Company-facilitated 401(k)
• ▹Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities

About the company

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, Baseten enables companies operating at the frontier of AI to bring cutting-edge models into production. The company is growing quickly and recently raised a $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital.