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Home›Jobs›Vizcom›Senior Software Engineer – Backend
Vizcom

About Vizcom

Accelerating industrial design with AI technology

🏢 Tech👥 1-10📅 Founded 2021📍 Mountain View, California, United States

Key Highlights

  • AI-driven tool for industrial design efficiency
  • Located in Mountain View, California
  • Small team of 1-10 employees
  • Focus on automating design tasks with machine learning

Vizcom, headquartered in Mountain View, California, offers an AI-powered platform designed specifically for industrial designers to enhance their creative workflows. The tool leverages machine learning to automate design tasks, enabling users to generate high-quality visual content quickly. With a f...

🎁 Benefits

Employees at Vizcom enjoy competitive salaries, equity options, and a flexible remote work policy. The company also offers generous PTO and opportunit...

🌟 Culture

Vizcom fosters a culture of innovation and creativity, encouraging team members to experiment with AI technologies. The small team size allows for clo...

🌐 Website💼 LinkedIn𝕏 TwitterAll 7 jobs →
Vizcom

Senior Software Engineer – Backend

Vizcom • San Francisco

Posted 1 month ago🏛️ On-SiteSeniorBackend engineer📍 San francisco
Apply Now →

Skills & Technologies

TypeScriptNode.jsGraphQLPostgreSQL

Job Description

Why Vizcom

Our mission is to reshape design by streamlining the path from concept to creation, bringing more impactful ideas into the physical world.

We’re well-funded (Series B $51m to date), growing double-digits MoM, and expanding the core engineering team in SF. The surface area is big: realtime collaboration, GPU inference at scale, a modern TypeScript stack, and serving real enterprise

The Role

As the Senior Software Engineer – Backend (Systems / Infrastructure) yYou’ll architect and deliver backend systems that keep Vizcom fast, reliable, and scalable as our workload and customer base grow. You’ll work on everything from queueing GPU workloads to optimizing GraphQL resolvers and streaming realtime events. You’ll have deep ownership over APIs, performance, and data integrity — while collaborating with frontend and AI teams to enable magical experiences. Within your first 90 days you will: ship one critical backend feature (e.g., model queue, caching layer, or realtime service), reduce p95 latency in one major API path by ~30%, Author one technical RFC proposing an improvement to architecture or reliability, Implement or document one observability improvement (metrics, traces, alerts).

Compensation
$195,000 - $225,000 annually + Offers Equity

What You’ll Do

  • Design and implement scalable APIs in TypeScript/Node with GraphQL and Postgres

  • Profile and optimize slow paths — queries, resolvers, and I/O

  • Build and operate distributed systems: job queues, streaming, caching, and observability

  • Collaborate with AI engineers to integrate GPU inference pipelines into user workflows

  • Improve reliability: lead incident reviews, strengthen CI/CD and deployment flows

  • Mentor teammates on backend architecture, testing, and performance thinking

The Problems You’ll Tackle

  • Distributed GPU inference and queueing with bursty workloads.

  • Realtime synchronization with WebSocket and CRDT-based collaboration.

  • GraphQL performance: caching, batching, resolver optimization.

  • Secure multi-tenant data boundaries and enterprise integrations (SSO/SAML/SCIM).

Our Stack (today)

  • Frontend: TypeScript, React, Vite, WebGL; realtime collaboration.

  • API/Backend: TypeScript/Node, GraphQL (PostGraphile), Postgres, Redis, background workers.

  • Infra: Kubernetes, Pulumi, CI/CD with GitHub Actions, Datadog for observability, feature flags.

  • Security/Enterprise: SSO/SAML (WorkOS), SOC 2-minded practices.

*Experience with every item above is not required. What matters is that you are excited to shape it.

Qualifications

  • 5–8+ years building production web systems (TypeScript/Node or similar)

  • Strength in databases, performance tuning, and distributed systems

  • Experience operating Kubernetes or similar orchestration environments.

  • Fluency with observability tools and debugging live systems.

  • Bonus: GPU workloads, background job systems, or realtime architectures.

How We Work

  • Small team, high ownership. Fewer people, more leverage.

  • Design-centric. We obsess over speed and feel; “fast enough” usually is not.

  • Write it down. RFCs, crisp decisions, living docs.

  • Operate what you build. Everyone takes on-call support; incidents drive improvement, not blame.


Interview Process

  • Intro (30m): mutual fit, role and impact.

  • Architectural deep-dive (45m): product and design collaboration.

  • Coding Session (45m):

  • Onsite Interview (half day)

  • References and offer.

Ready to Build?

If you want your work to be used daily by world-class designers and you like owning problems end to end, let’s talk. Apply with links (GitHub, LinkedIn, notable projects) and a short note on something hard you shipped.

Interested in this role?

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