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Inference

Fullstack Engineer - Frontend Focus

San Francisco, California, United States

Location
San Francisco, California, United States
Work
Hybrid
Employment
Full-time
Level
Not stated
Function
Engineering
Pay
$120K – $180K a year (read from the ad)
Posted
15 months ago

Pay and the market here

The top of this role’s range, $180K a year, is 31% below the median of $259K for engineering jobs in San Francisco (middle half $215K – $315K, 4,022 jobs that state pay).

5,003 engineering jobs open in San Francisco: 9% remote, 949 posted in the last 30 days.

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About the role

Inference.net is hiring a Senior Full-Stack (Frontend-Focused) Engineer

Help us build beautiful, performant web experiences that give users super-powers over our globally distributed LLM inference platform. If you love shipping React apps that feel snappy at planet-scale, we’d love to meet you.

About Inference.net

We combine idle GPU capacity from around the world into a single cohesive plane of compute capable of serving models like DeepSeek and Llama 4. At any moment, 5,000+ GPUs and hundreds of terabytes of VRAM are connected to our network.

We’re a small, well-funded team working in-person from downtown San Francisco (hybrid flexibility as needed). Investors include a16z CSX and Multicoin. We’re high-agency, collaborative, and obsessed with craft—whether that’s a distributed scheduler or a pixel-perfect UI.

What you’ll do

  • Own the user experience – design, build, and polish the dashboards, consoles, and customer-facing apps that let users observe, configure, and pay for inference at scale.
  • Ship end-to-end features – from Figma wireframe to React component to backend API and database migration.
  • Design a component system in React + Tailwind that supports rapid iteration and a cohesive design language.
  • Optimize performance – SSR, code-splitting, hydration, and WebSocket-driven real-time updates that hold up under millions of requests per day.
  • Collaborate across disciplines – work shoulder-to-shoulder with distributed-systems engineers, product designers, and founders to turn complex infrastructure into delightful product.
  • Level-up the team – lead design reviews, mentor junior engineers, and introduce best practices for testing, accessibility, and observability.

What we’re looking for

Must-Have

  • 5+ years building production React applications
  • Deep knowledge of Tailwind CSS & modern CSS architecture
  • Typescript mastery and strong fundamentals in JS/DOM/APIs
  • Experience designing REST/JSON or gRPC backends (Node, Go, or similar)
  • AuthN/AuthZ design (OIDC, JWT)
  • Product sense: you care about UX details & accessibility

Nice-to-Have

  • Experience with Tanstack / Next.js
  • Data-viz libraries (Recharts, Visx, D3)
  • tRPC experience
  • Familiarity with GPU or ML tooling dashboards
  • Comfort debugging perf issues (Lighthouse, Chrome DevTools)
  • Dev-ops chops: CI/CD, Docker, Terraform

You don’t need to tick every “nice-to-have” box—curiosity and the ability to learn quickly matter more.

Compensation

  • Base salary: $120,000 – $180,000
  • Equity: significant early-stage grant
  • Benefits: full medical/dental/vision, 401(k) with match, generous PTO, commuter + hardware stipends, daily office lunch

How we work

We iterate fast, test in prod (safely!), and celebrate small wins. You’ll demo work twice a week, pair with systems engineers, and ship to users continuously. Most of us are in the office 3–4 days a week; remote candidates considered if time-zone compatible with Pacific hours.

Equal Opportunity

Inference.net is an equal opportunity employer. We value diversity and do not discriminate on the basis of race, color, religion, gender identity, sexual orientation, national origin, veteran status, disability, age, or any other protected status.

Ready to build the front door to planet-scale AI?

Send a short note and a link to something you’ve shipped (code, demo, or Dribbble shots) to jobs@inference.net. We can’t wait to chat!

Source

Posted by Inference on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 12:15 UTC; the original is the reference.

View the original ad ↗

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