Software Engineer - Infrastructure

Baseten; Seattle (WA); On-site; USD 165,000 - 330,000; Full time

Benefits offered by this job

Competitive equity + compensation

Healthcare coverage for employee and 1

Flexible PTO including Winter Break

Paid parental leave

Fertility and family-building stipend

Company 401(k) (US)

Exposure to ML startups

Job summary

Baseten is hiring an Infrastructure Software Engineer to build and maintain components of our ML inference platform that powers production AI applications. You"ll help developers deploy, scale, and monitor models with high performance.

Join a team working on multi-cloud capacity management, GPU-based inference, and efficient model serving, with a strong emphasis on reliability and collaboration.

Qualifications

• 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.
• Strong collaboration and communication skills.

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.

Skills

Go

Python

Distributed systems

Monitoring/logging

Collaboration

Communication

ML concepts

Education

Bachelor's degree in Computer Science or related field

Tools

Kubernetes

Containerization

Job description

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 ship AI products.

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 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
• (U.S. only) 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
• (U.S. only) Company-facilitated 401(k)
• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

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).

Compensation Range: $165K - $330K