Source Job

$150,000–$300,000/yr
US

  • Own camera and multi-sensor calibration across our capture rigs.
  • Build, evaluate, and improve SLAM, VIO, and mapping pipelines.
  • Train and/or fine-tune models for pose estimation and semantic understanding.

Localization

6 jobs similar to SENIOR COMPUTER VISION ENGINEER

Jobs ranked by similarity.

US

  • Design, develop, and refine motion and navigation planning algorithms for challenging real-world scenarios.
  • Develop and tune control algorithms that ensure precise trajectory tracking and stable operation across different robotic systems.
  • Investigate and resolve issues arising from field deployments through structured data analysis and debugging.

Field AI is transforming how robots interact with the real world by building risk-aware and reliable AI systems. They have a decade-long track record of deploying solutions in the field and bringing expertise from organizations like DeepMind, NASA JPL, and Tesla Autopilot.

Australia

  • Translate AI research into production systems for creating accurate, conflated map data products from aerial imagery and geospatial sources.
  • Design, build, and operate scalable software systems using Python, PyTorch, and GIS tools to transform petabytes of imagery into insights.
  • Collaborate closely with researchers and engineers to solve complex problems, improve data quality, and utilize agentic coding tools for exploratory work.

Nearmap provides aerial imagery, AI analytics, and geospatial tools to help professionals plan, build, insure, and govern properties. The company emphasizes a collaborative culture that brings out the best in its employees.

US Canada

  • Build and drive roadmap for the Autonomy Data Flywheel.
  • Draft requirements and ensure delivery for all consumers of the data including End-End AI, Perception, Safety and other teams.
  • Work with engineering teams to set and achieve targets for both quality and quantity KPIs.

Serve Robotics is reimagining how things move in cities with personable sidewalk robots designed to take deliveries away from congested streets and benefit local businesses. As of EOY 2025, Serve has 2000 actively deployed robots making real world deliveries across numerous US cities, and it is known for its agile, diverse, and driven team that solves real-world problems collaboratively and respectfully.

Global

  • Build and maintain a unified C++17 library that runs seamlessly across iOS, Android, and low-power automotive embedded hardware.
  • Analyze and improve map-matching and dead-reckoning algorithms using real-world data from millions of vehicles.
  • Implement route-following features, including high-frequency route progress reporting, deviation detection, and timely instruction delivery.

Mapbox is the leading real-time location platform for a new generation of location-aware businesses. They equip organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. They value high-performing creative individuals who dig into problems and opportunities, and they emphasize an environment of teaching and learning.

Europe

  • Design and implement a multi-camera 3D reconstruction pipeline.
  • Develop GPU-accelerated algorithms (CUDA) for volumetric fusion and raycasting.
  • Build and maintain a real-time 3D world model for visualization and geometric queries.

Deutsche Telekom IT Solutions, a subsidiary of the Deutsche Telekom Group, was Hungary’s most attractive employer in 2025. We provide a wide portfolio of IT and telecommunications services with more than 5300 employees and hundreds of large customers, corporations in Germany and in other European countries.

US

  • Define the technical foundation and architecture for the Ground Mobile Android app, in partnership with your teammates.
  • Build resilient Kotlin client-side logic with offline-first principles; real-world constraints include: low-connectivity job sites, large capture sets, and intermittent hardware signals.
  • Collaborate with product and design to help translate customer frustrations into elegant technical solutions; write the code that talks to 360-degree cameras and high-accuracy GPS; establish Android CI/CD, testing standards, and release tooling from scratch.

DroneDeploy empowers field teams with robotics and AI. They are the only reality capture platform that combines robotic automation, AI agents, and a truly unified system, DroneDeploy allows critical industries to operate with speed and confidence. They thrive in a mostly remote-first culture rooted in innovation and impact and have been recognized as a Best Place to Work in the SF Bay Area.