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Torc Robotics
Ann Arbor, MI, Blacksburg, VA, Fort Worth, TX, Remote - US
Source: Torc Robotics careers · View original posting
From Torc Robotics's posting. “We” and “our” refer to the employer.
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.
Now a part of the Daimler family
, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
The Senior Software Engineer will be a technical leader on the Fleet Enablement & Insights team, responsible for architecting and building systems that span two critical pipelines for Torc's autonomous truck platform: the map validation and simulation pipeline s and the annotation platform. This role owns hard engineering problems behind both, designing scalable services and data pipelines that package maps for simulation, validate mapping updates before release, and the systems required for scalable web-based annotation tooling
. The ideal candidate is a seasoned backend or full-stack engineer who thrives in a fast-paced environment, sets the technical bar for others, and is energized by complex data engineering, distributed systems, and geospatial simulation challenges. This position offers the opportunity to work at the intersection of software engineering, autonomous systems, and large-scale data operations, with a direct line of sight to the data that trains and validates the AV stack.
Strong experience (5+ years) building and operating production backend services at scale.
Expertise in Python, with a track record of designing and shipping production-quality services and tools.
Strong proficiency with SQL for querying, transforming, and analyzing relational and analytical data.
Experience designing and building web services and APIs that support web-based tooling, with strong knowledge of TypeScript and modern web frameworks (backend depth required; full-stack a strong plus).
Working knowledge of C++, or the ability to ramp into it.
Strong database and data-modeling expertise, including hands-on experience with PostgreSQL or similar, and designing schemas for integrity, lineage, and performance.
Demonstrated ownership of system design and architecture for complex, multi-service or multi-pipeline systems.
Proficiency with Git and GitHub for version control, branching strategies, and collaborative code workflows.
Familiarity with JIRA or similar project management tools for tracking tasks, bugs, and sprint deliverables.
Strong software engineering fundamentals including data structures, algorithms, distributed systems, and reliability engineering.
Strong written and verbal communication skills, with the ability to lead technical discussions and collaborate across technical and non-technical stakeholders.
Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent experience.
Bonus Points
Experience designing data annotation, labeling, or data-delivery platforms and the web tooling behind them.
Familiarity with PostGIS for advanced spatial queries, geometry operations, and geospatial data management.
Experience working with large binary or sensor datasets (point clouds, imagery, video) and optimizing data-heavy user interfaces for performance.
Experience with point cloud rendering and streaming formats (octree/LOD structures such as Potree or COPC, 3D Tiles, LAS/LAZ) or large-scale spatial data structures.
Experience with browser-based 3D graphics (three.js, WebGL, or similar), or strong graphics fundamentals and a demonstrated ability to ramp quickly.
Prior experience working with High-Definition (HD) maps, map formats (e.g. OpenDRIVE, NDS, Lanelet2), or map production pipelines.
Familiarity with robotics data and visualization ecosystems (e.g., Rerun, Foxglove, MCAP, ROS bags).
Background in autonomous trucking or autonomous vehicles, with an understanding of how map and annotation data feed the AV stack.
Contributions to open-source geospatial, data engineering, simulation, robotics, or annotation projects.
US Pay Range
$160,800 — $193,000 USD
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