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Software Engineer - Capacity

Baseten

Company websitebaseten.co (Baseten, opens in new tab)

Base salary $220K  to $285K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

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 a Software Engineer on the Internal Tooling team, you will own the internal operating system that sits at the heart of how Baseten operates. Capacity helps unlock revenue by carefully balancing supply and demand. The operating system manages all aspects of the customer lifecycle: from onboarding to managing complex customer SLA requirements.

This role is for engineers who want to own a product end to end, not just implement tickets. You will work directly with the Capacity, Sales, and Engineering teams to understand requirements, define solutions, and ship software that removes friction from some of the most high-stakes workflows in the company. If something is slow, manual, or error-prone in the capacity fulfillment lifecycle, you will be the one to fix it.

You are a strong fit if you have strong product intuition, move fast without sacrificing quality, and take satisfaction in building tools that make the people around you measurably more effective.

RESPONSIBILITIES

  • Own the Capacity product end to end: scoping, design, implementation, and iteration based on feedback from internal stakeholders

  • Translate complex operational requirements from Capacity, Sales, and SRE teams into clean, ergonomic product experiences

  • Build and maintain full-stack features across the Capacity toolchain, including UI surfaces, APIs, and backend services

  • Identify workflow bottlenecks and manual processes across the capacity lifecycle and drive their elimination through tooling

  • Instrument your work with observability and monitoring so issues surface before they become incidents

  • Partner with SRE and Infra teams to ensure Capacity reflects the operational reality of the fleet, not just the desired state

REQUIREMENTS

  • Bachelor's degree or higher in Computer Science or a related field

  • 5+ years of software engineering experience, with meaningful time spent owning a product or internal platform end to end

  • Strong full-stack proficiency; experience with NextJS, JavaScript, Postgres / Drizzle, Tailwind and AWS. Experience with SST.dev is a plus but not a requirement

  • Demonstrated ability to work directly with non-engineering stakeholders to understand requirements and translate them into product decisions

  • Experience building internal tooling, operational platforms, or developer infrastructure — particularly in high-growth or infra-heavy environments

  • High ownership mindset: you notice what is broken, you fix it, and you follow through

  • Interest in AI/ML infrastructure; familiarity with GPU infrastructure, or capacity planning is a meaningful plus

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.

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).

Source: Baseten on Ashby · View original posting (opens in new tab)

This range next to 6 other live Baseten roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Baseten roles with the nearest advertised base floor
RolePublished base
Software Engineer - Capacity (this listing)$220K - $285K
Workday Senior Analyst$220K - $260K
AI Engineer$220K - $260K
Product Designer$225K - $290K
Capacity Manager, Operations$225K - $235K
Post-Training Research Scientist$210K - $285K
Product Manager, Inference Platform$235K - $335K

Same $100K to $400K scale as every card. All Baseten roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-06-12
Where this pay comes from

Location as the employer wrote it: San Francisco

USD 220,000 – 285,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.