Drimva

Verkada

Staff Frontend Engineer - Mapping & Spatial Platform

$185K–$265K

San Mateo, CA United States +1 · Staff · Full-time · Posted Oct 20, 2026

Location
San Mateo, CA United States
San Mateo, California, United States
Experience
5+ years building complex customer-facing web applications or high-performance graphics engines.
Education
Degree in Computer Science or a related field.
Visa sponsorship
The company sponsors and takes over sponsorship of employment visas for this role and will make every reasonable effort to get a visa if it makes an offer.

About the job

Lead the architecture and development of a high-performance, collaborative 3D spatial platform for interactive mapping, editing, and spatial analysis across Verkada products.

What you'll do

  • Design a rendering platform for high-density geospatial visualization and precision editing, optimized for smooth performance.
  • Define spatial-editing interactions with Design and optimize rendering and input latency.
  • Develop spatial-analysis tools and own client-side offline-first, multi-user sync architecture.

What they ask for

  • 5+ years building complex customer-facing web applications or high-performance graphics engines.
  • Strong JavaScript fundamentals and React expertise, including familiarity with common state and data libraries.
  • Degree in Computer Science or a related field; strong understanding of data structures, memory management, and linear algebra.
  • Understanding of coordinate-system conversions, geospatial projections, and 3D geometry.

Nice to have

  • Experience with Deck.gl, MapLibre, Three.js, raw WebGL/WebGPU, Canvas API, buffer management, or custom shaders.
  • Experience with real-time sync architectures or familiarity with PostGIS, vector tiling (MVT), and GIS workflows.

Pay

$185,000 — $265,000 USD annual on-target earnings (OTE), comprised of base compensation and commissions (if applicable).

Tools

JavaScript, React, React Query, Zustand, Deck.gl, MapLibre, Three.js, WebGL/WebGPU

AI focus

Develop AI-driven hardware placement suggestions.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 4, 2026 (UTC)