Software Engineer II - Fleet Enablement & Insights (Annotation Platform)
Torc Robotics2 months ago
Fort Worth, TX, USAMid Level
H1B sponsor
Base Salary
$139k - $167k/yr
Responsibilities
- Design, develop, and maintain the TypeScript/React 2D and 3D annotation application.
- Build high-performance point-cloud and image rendering with three.js/WebGL, including streaming, level-of-detail, prefetching, sensor overlays, and camera-LiDAR projection.
- Build services for label storage and versioning, task assignment, quality-assurance workflows, authentication, and multi-user isolation.
- Integrate pre-labeling and pseudo-labeling outputs and instrument acceptance-rate and throughput metrics.
- Fuse HD map data into annotation and quality-control workflows.
- Build converters and ingestion paths for multi-LiDAR, multi-camera, and calibration data.
- Deliver auditable dataset exports for downstream machine-learning training and validation.
- Use AWS cloud services and Databricks adjacency to host scene data and deploy scalable services.
- Collaborate with annotation, Autonomy/ML, Scene Selection, Mapping, and Data Engineering teams.
- Participate in sprint planning, agile ceremonies, demos, code reviews, documentation, and knowledge sharing.
- Address technical debt, performance bottlenecks, and reliability gaps across the platform.
Requirements
- Strong proficiency in TypeScript and React with experience shipping production-quality web applications.
- Experience with browser-based 3D graphics such as three.js or WebGL, or strong graphics fundamentals and the ability to ramp quickly.
- Proficiency in Python for production backend services and APIs.
- Experience working with large binary or sensor datasets, including point clouds, imagery, or video, and optimizing data-heavy interfaces.
- Strong proficiency with SQL and hands-on PostgreSQL experience.
- Experience with AWS services for hosting data and deploying services.
- Proficiency with Git and GitHub for collaborative version-control workflows.
- Familiarity with JIRA or similar project-management tools.
- Understanding of data structures, algorithms, and system design.
- Strong written and verbal communication skills for collaboration with technical, non-technical, and non-engineer users.
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent experience.
- Bonus: experience with point-cloud rendering and formats such as Potree, COPC, 3D Tiles, LAS, or LAZ.
- Bonus: experience building or extending annotation or labeling tools.
- Bonus: familiarity with Rerun, Foxglove, MCAP, or ROS bags.
- Bonus: background in machine-learning perception workflows such as detection, tracking, segmentation, auto-labeling, or active learning.
- Bonus: understanding of multi-view geometry and sensor calibration.
- Bonus: experience with HD maps or formats such as OpenDRIVE, NDS, or Lanelet2.
- Bonus: familiarity with PostGIS or spatial queries.
- Bonus: experience with Databricks or similar large-scale data-processing platforms.
Benefits
- 100% paid medical, dental, and vision premiums for full-time employees.
- 401(k) plan with a 6% employer match.
- Flexible schedule and generous paid vacation available immediately after the start date.
- AD&D and life insurance.
- Full-time role with bonus and stock option components in the compensation package.
Tech Stack
About Torc Robotics
Torc Robotics develops autonomous driving software for heavy-duty trucks, offering a full self-driving stack, mapping, and perception for freight carriers and OEMs. Founded in 2005 and headquartered in Blacksburg, Virginia, it was acquired by Daimler Truck in 2019. As a subsidiary, Torc focuses on commercializing Level 4 trucking with its parent’s vehicle platforms and industry partnerships in North American freight transport.