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Gatik AI

Autonomous trucking for middle-mile freight

Senior Software Engineer - Map Infrastructure

Backend EngineeringPosted on Nov 13
Full-timeSanta Clara, CA, USA$180k - $260kIn-person

About the Job

Requirements

  • A Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Geomatics, or a related field and 5+ years of relevant industry experience, or a Master's degree and 3+ years of relevant industry experience.
  • Strong software engineering skills in Python and/or C++, including designing modular, maintainable, well-tested systems in a shared codebase.
  • Experience building large-scale data pipelines and distributed processing systems using tools such as Spark, Ray, Beam, or similar on cloud infrastructure.
  • Experience working with geospatial data, including coordinate systems and projections, spatial indexing such as S2 or H3, and geospatial databases or libraries such as PostGIS, GDAL, or Shapely.
  • Experience designing data storage, versioning, and serving systems with clear schemas and APIs, for example Protobuf or similar.
  • Ability to work effectively with autonomy, simulation, and operations teams.

Responsibilities

  • Design and scale pipelines that process lidar, camera, and GNSS/IMU data from the fleet into high-definition maps, including alignment, semantic layer generation, and automated and human-in-the-loop labeling.
  • Reduce the time and cost to map, validate, and deploy new customer routes and hubs through automation, better tooling, and clear process.
  • Build the geospatial data platform that stores map data with versioning, provenance, clear schemas, and data contracts, so every truck and simulation run can trace exactly which map it used.
  • Build reliable, efficient services that package, compress, and distribute map updates to the fleet, with safe rollout, rollback, and compatibility guarantees for onboard software.
  • Build systems that use fleet data to detect real-world changes such as construction, lane changes, and new signage, and route them into fast, safe map updates.
  • Define and implement map quality metrics and automated validation checks for geometry, topology, semantics, and localization performance, and gate releases on them.
  • Develop map visualization, editing, review, and QA tools that help engineers and operators inspect, correct, and approve map data.
  • Make map data easy to consume in simulation, scenario generation, and ML training pipelines, in partnership with the simulation and Scalable ML teams.
  • Champion clean interfaces, testing, code review, observability, and fast, dependable CI across map systems, and help root-cause and prevent map-related incidents.

About the Company

Gatik AI

Autonomous trucking for middle-mile freight

Gatik AI provides autonomous trucking services for middle-mile B2B freight. Its Level 4 driverless trucks move goods on fixed, short-haul routes between distribution centers and retail or foodservice locations, offered as Autonomous Transportation-as-a-Service that integrates into customers' supply chains. Operations span Texas, Arizona, Arkansas, and Canada with clients such as PepsiCo and Loblaw. The company reports over $600 million in contracted revenue and about 85,000 fully driverless orders completed, aiming to grow to more than 100 driverless trucks by end of 2026. Gatik’s approach focuses on repeatable routes and a service-based model to scale its fleet, technology, and infrastructure through commercial partnerships.

Company size
201-500
Company stage
Series D
Total funding
$351.7M
Headquarters
Santa Clara, CA
Founded
2017

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