ABOUT BASETEN 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, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Senior Infrastructure Software Engineer at Baseten, you'll architect and lead development of our ML inference platform that powers production AI applications. You'll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor ML models with high performance and reliability. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: Multi-cloud capacity management Inference on B200 GPUs Multi-node inference Fractional H100 GPUs for efficient model serving RESPONSIBILITIES Design and architect scalable infrastructure systems for our ML inference platform Lead optimization of Kubernetes deployments for efficient, cost-effective model serving Drive enhancements to our inference orchestration layer for complex model deployments Define monitoring strategies for model performance, latency, and resource utilization Develop advanced solutions for GPU capacity management and throughput optimization Establish infrastructure automation standards to streamline ML deployment workflows Partner with other engineers to translate complex inference requirements into technical solutions REQUIREMENTS Bachelor's degree or higher in Computer Science or related field 5+ years experience building production infrastructure systems Expert-level proficiency in Go, with Python experience a plus Deep expertise with Kubernetes in production environments Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius) a plus. Advanced understanding of distributed systems concepts and performance tuning Proven experience designing observability systems Track record of leading technical initiatives and mentoring engineers Experience with ML/AI workloads and MLOps platforms highly valued BENEFITS Competitive compensation, including meaningful equity. 100% coverage of medical, dental, and vision insurance for employee and dependents Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) Paid parental leave Company-facilitated 401(k) Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.