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Gatik

Robot type
Autonomous Vehicle
Location
Santa ClaraCaliforniaUSA
Job type
Software
Posted
Mar 3, 2026
Salary
$170,000–$240,000 a year
Full-time

Senior/Staff Full-Stack Engineer, Simulation Platform

Job description

We have delivered complete, proprietary AV technology - an integration of software and hardware - to enable earlier successes for our clients in constrained Level 4 autonomy. By choosing the middle mile – with defined point-to-point delivery, we have simplified some of the more complex AV challenges, enabling us to achieve full autonomy ahead of competitors. Given extensive knowledge of Gatik’s well-defined, fixed route ODDs and hybrid architecture, we are able to hyper-optimize our models with exponentially less data, establish gate-keeping mechanisms to maintain explainability, and ensure continued safety of the system for unmanned operations.

Visit us at Gatik for more company…

Job responsibilities

  • Frontend Development: Build a responsive, high-performance UI using React/TypeScript. Implement 3D visualization components using Three.js or WebGL to render simulation environments and sensor data.
  • Backend & API Design: Architect scalable REST and WebSocket APIs to handle real-time telemetry and simulation control commands.
  • Data Management: Design and optimize PostgreSQL schemas for simulation metadata and integrate time-series data storage for high-frequency logs.
  • Observability Integration: Set up and customize Grafana dashboards to monitor simulation health, resource usage, and performance metrics.
  • Cloud Orchestration: Work with Docker/Kubernetes to manage the lifecycle of simulation "workers" and ensure they can scale horizontally based on demand.
  • Performance Tuning: Optimize the browser rendering pipeline to ensure smooth 60fps playback of simulation data even under heavy load.

Job requirements

  • Languages: Expert-level TypeScript and Node.js (or Go/Python for backend).
  • 3D Visualization: Experience with Three.js, WebGL.
  • Databases: Proficiency in PostgreSQL (complex queries, indexing) and Redis.
  • Monitoring: Deep experience with Grafana and Prometheus.
  • Infrastructure: Solid understanding of Docker, Kubernetes, and cloud providers (Azure).
  • Data Protocols: Experience with WebSockets, Protobuf, or similar binary data formats.
  • Familiarity with ROS / ROS2 (Robot Operating System).
  • Experience building developer tools or engineering productivity software.
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