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Software Engineer - Infrastructure

Baseten

Software Engineer - Infrastructure

Baseten

San Francisco

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

401(k) matching

Generous paid time off and holidays

Equity

Healthcare

Required Skills

JavaScript

TypeScript

Python

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 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:

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

  • 1-3 years experience in software engineering or infrastructure

  • 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

  • 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.

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About Baseten

Baseten

Baseten

Series C

Baseten provides a platform for deploying and scaling machine learning models in production environments. The company offers infrastructure and tools for ML engineers to build, deploy, and monitor AI applications.

51-200

Employees

San Francisco

Headquarters

$1.0B

Valuation

Reviews

3.8

41 reviews

Work Life Balance

3.5

Compensation

4.0

Culture

3.9

Career

4.0

Management

3.6

73%

Recommend to a Friend

Pros

Supportive team and management

Opportunity for career growth

Good work-life balance and flexible environment

Cons

Career progression could be clearer

Internal communication could improve

Work-life balance varies by team

Salary Ranges

0 data points

Junior/L3

L2

L3

L4

L5

L6

Junior/L3 · Recruiter

0 reports

$183,600

total / year

Base

-

Stock

-

Bonus

-

$156,060

$211,140

Interview Experience

52 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Offer Rate

42%

Experience

Positive 66%

Neutral 21%

Negative 13%

Interview Process

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

Common Questions

Technical skills

Past experience

Team collaboration

Problem solving