Software Engineer - Infrastructure

Baseten; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Equity

Medical coverage for employee and dep.

Flexible PTO including Winter Break

Parental leave

Fertility stipend

401(k)

Job summary

Baseten is seeking an Infrastructure Software Engineer in the United States to build and maintain components of our ML inference platform. You will enable developers to deploy, scale, and monitor models with high performance.

You will work with Python and Go, manage Kubernetes deployments, and contribute to our inference orchestration layer while improving monitoring and resource management for ML workloads.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Proficient in Go and Python; Kubernetes experience is a plus.
• Familiar with distributed systems and ML infrastructure concepts.

Responsibilities

• Develop infrastructure components for ML inference platform using Python and Go.
• Manage Kubernetes deployments for model serving and monitoring.
• Contribute to the inference orchestration layer for model deployments.
• Build and enhance monitoring systems for model performance metrics.
• Implement efficient resource management for ML workloads and automate deployments.
• Collaborate with team to implement infrastructure improvements and balance performance with reliability.

Skills

Python

Go

Distributed systems

Education

Bachelor's degree in CS or related field

Tools

Kubernetes

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 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

• 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