BaseTen Inc. logo

Software Engineer - Capacity

Job Overview

Location

San Francisco

Job Type

Full-time

Category

Software Engineering

Date Posted

June 13, 2026

Full Job Description

đź“‹ Description

  • • Own the Capacity product end to end, including scoping, design, implementation, and iteration based on feedback from internal stakeholders across Capacity, Sales, and SRE teams
  • • Translate complex operational requirements from non-engineering teams into clean, ergonomic product experiences that streamline high-stakes workflows
  • • Build and maintain full-stack features across the Capacity toolchain, including UI surfaces, APIs, and backend services using NextJS, JavaScript, Postgres/Drizzle, and Tailwind
  • • Identify and eliminate workflow bottlenecks and manual processes throughout the capacity fulfillment lifecycle through targeted tooling and automation
  • • Instrument all developed features with observability and monitoring systems to proactively surface issues before they escalate into incidents
  • • Partner closely with SRE and Infrastructure teams to ensure the Capacity platform accurately reflects the operational reality of the GPU fleet, not just the desired state
  • • Drive improvements to internal systems that balance supply and demand for AI inference capacity, directly unlocking revenue and improving customer SLA adherence
  • • Work directly with stakeholders to understand their needs, define solutions, and ship software that removes friction from critical internal operations
  • • Take full ownership of systems that are slow, manual, or error-prone — proactively fixing them without waiting for formal requests
  • • Build internal tooling and operational platforms in a high-growth, infrastructure-heavy environment focused on AI/ML model deployment and scaling
  • • Maintain a high ownership mindset: notice what is broken, fix it, and follow through until resolved
  • • Contribute to a platform used by AI companies like Cursor, Notion, OpenEvidence, Abridge, Clay, and Writer to bring cutting-edge models into production

🎯 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 with NextJS, JavaScript, Postgres/Drizzle, Tailwind, and AWS
  • • Demonstrated ability to work directly with non-engineering stakeholders to translate requirements into product decisions
  • • Experience building internal tooling, operational platforms, or developer infrastructure in high-growth or infra-heavy environments
  • • High ownership mindset: proactively identify and resolve broken processes without prompting

🏖️ 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 (offices 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

Skills & Technologies

JavaScript
Next.js
PostgreSQL
AWS
Apache Spark
Onsite
Degree Required

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About BaseTen Inc.

BaseTen provides a serverless, GPU-accelerated platform that lets machine-learning teams deploy, scale and monitor custom models behind autoscaling inference endpoints. The service abstracts infrastructure management, supports PyTorch, TensorFlow and Hugging Face artifacts, and offers built-in observability, A/B testing and fine-tuning. Customers integrate via REST or GraphQL APIs and pay only for compute used. Founded in 2019 and headquartered in San Francisco, BaseTen targets data scientists and product teams seeking production-grade ML serving without Kubernetes complexity.

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