Software Engineer - Infrastructure

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 $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.

THE ROLE As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance.

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 Develop infrastructure components for our ML inference platform using Python and Go

Implement and maintain Kubernetes deployments for model serving

Contribute to our inference orchestration layer for model deployments

Build and enhance monitoring systems for model performance metrics

Implement efficient resource management solutions for ML workloads

Support infrastructure automation to improve ML deployment workflows

Work closely with team members to implement technical solutions

Help balance performance optimization with system reliability

Participate in technical discussions around infrastructure improvements

Learn and apply infrastructure best practices

REQUIREMENTS Bachelor's degree or higher in Computer Science or related field

Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus

Working knowledge of Kubernetes and containerization

Basic understanding of machine learning concepts and model serving

Familiarity with distributed systems concepts

Experience with basic monitoring and logging tools

Interest in ML/AI infrastructure and willingness to learn

Strong collaboration and communication skills

BENEFITS 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 (our offices are 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.

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. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).