Torc Robotics
Quality Control Engineer, HD Mapping
Remote - US · Junior · Full-time
Sponsorship not specified$90k-$108kDetected 19 days ago
PythonSQLAuditingSensorsGISCommunicationMentoring
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odds of building a lasting career here
53Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.
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About the role
- Meet the Team: You will be working with Torc's map enablement team to review and conduct quality control work on high-definition map datasets used by Torc's autonomous trucks.
- You'll work closely with mapping engineers, mapping vendors, and autonomy teams to catch defects before they reach the vehicle, and to turn recurring issues into process and workflow improvements.
- Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Responsibilities
- Perform QC on map features derived from LiDAR point clouds, aerial/satellite imagery, and vehicle-collected sensor data
- Identify, document, and triage map defects, escalating safety-critical issues to mapping and autonomy engineering teams
- Partner with mapping vendors and internal teams to communicate quality standards and drive defect resolution
- Maintain clear documentation of QC procedures, edge cases, and regional/route-specific map requirements
- Support readiness reviews for new lanes, corridors, or operational design domains (ODDs) prior to launch
- Scripting experience (Python or SQL) for automating QC checks or building spatial queries (e.g., PostGIS)
Requirements
- Bachelor's degree in GIS, Geomatics, Geography, Surveying, Civil Engineering, Computer Science, or a related field, or equivalent practical experience
- 1-3 years of experience (QC Engineer I) or 3-5 years (QC Engineer II) in geospatial data QC, map production, GIS analysis, or a related quality/annotation role
- Experience working with geospatial data formats (e.g., shapefiles, GeoJSON, KML) and coordinate/projection systems
- Familiarity with GIS tools (e.g., ArcGIS, QGIS) and/or LiDAR/point cloud viewers
- Strong attention to detail and ability to identify subtle spatial or geometric inconsistencies in large datasets
- Comfort working with large datasets and defining repeatable, data-driven QC processes
- Ability to work cross-functionally with engineering, operations, and third-party vendor teams
- Experience designing or improving QC processes/tooling from the ground up, not just executing existing checklists
- Track record of mentoring junior reviewers or leading vendor/annotator quality calibration
- Experience defining map quality metrics and reporting on trends to engineering stakeholders
Compensation
- A competitive compensation package that includes a bonus component and stock options
Benefits
- A competitive compensation package that includes a bonus component and stock options
- 100% paid medical, dental, and vision premiums for full-time employees
- 401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures
Company info
- 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:
- You will be working with Torc's map enablement team to review and conduct quality control work on high-definition map datasets used by Torc's autonomous trucks.
- This role is responsible for auditing HD map geospatial datasets (lane geometry, road boundaries, signage, and other map features derived from LiDAR point clouds and sensor data) to ensure it meets the accuracy and completeness standards required for safe autonomous operation on highways and surface streets.
- Torc's map enablement team is looking for a quality control engineer to help deliver and scale its mapping operation for Torc's commercial expansion.
- This individual will collaborate with engineering teams that use mapping datasets to create tailored QC workflows, turning feedback into optimized processes that scale as Torc's operational mapping footprint grows.
- About the Company
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This listing is sourced directly from Torc Robotics's careers page and normalized into a canonical job model.