Software Engineer
US$195,000 – US$225,000 / yr base salary
Posted 4 Dec 2025
Advertised as “Senior Software Engineer – Backend”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5–8 yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
| Base salary | US$195,000 – US$225,000 / yr |
|---|
Senior Software Engineer, Backend — Systems & Infrastructure
San Francisco, CA · In Person · Full-Time
About Vizcom
Vizcom is building the future of industrial design.
Our mission is to reshape the design process by streamlining the path from concept to creation, helping designers bring more impactful ideas into the physical world.
Design teams at companies like Nike, GM, New Balance, and Hasbro use Vizcom to move from early concepts and sketches through rendering, visualization, and 3D exploration.
We're a Series B company with more than $51M raised and are continuing to expand our engineering team in San Francisco.
The technical surface area is broad: real-time collaboration, GPU inference at scale, distributed systems, enterprise infrastructure, and a modern TypeScript stack supporting professional design teams every day.
The Role
As a Senior Software Engineer, Backend — Systems & Infrastructure, you'll architect and build the backend systems that keep Vizcom fast, reliable, and scalable as our product and customer base grow.
You'll work across systems including GPU workload orchestration, GraphQL performance, real-time event infrastructure, caching, data integrity, and observability.
This is a high-ownership engineering role. You'll be responsible not only for building systems, but also for understanding how they behave in production, identifying bottlenecks, improving reliability, and helping shape the technical decisions that allow Vizcom to scale.
You'll collaborate closely with frontend, infrastructure, and AI engineers to turn complex technical systems into fast, seamless experiences for designers.
What You'll Do
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Design and implement scalable APIs using TypeScript/Node, GraphQL, and Postgres.
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Profile and optimize performance across queries, resolvers, I/O, and other critical backend paths.
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Build and operate distributed systems, including job queues, streaming infrastructure, caching, and background workers.
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Partner with AI engineers to integrate GPU inference pipelines into production user workflows.
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Build and improve real-time systems supporting collaborative product experiences.
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Strengthen reliability through observability, incident reviews, testing, CI/CD, and deployment improvements.
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Design secure systems that maintain appropriate data boundaries across customers and enterprise environments.