Geospatial / HD Mapping Engineer

Description

● Contribute to the design, development, and expansion of our HD Mapping pipeline. ● Process, clean, and validate large-scale LiDAR point cloud datasets. ● Extract and refine road-based linear and polygonal features ● Annotate and validate 3D objects and roadway furniture. ● Perform topology validation of road networks (lane connectivity, intersection logic, turn constraints). ● Work with raw and processed LiDAR and camera data. ● Perform colorization and refinement of point clouds. ● Develop and maintain Python-based geospatial data processing tools. ● (Optional) Contribute to performance-critical components in C . ● Manage and process large spatial datasets using cloud infrastructure (Azure preferred). ● Work with PostGIS databases and perform advanced spatial queries such as: ○ Intersection detection ○ Geometry building and transformation ○ Query optimization and performance tuning ● Support data migration, versioning, and format conversion (OSM, OpenDrive, Lanelet). ● Work closely with autonomy, perception, and planning teams. ● Coordinate with remote freelancers and distributed contributors across time zones. ● Manage Jira tickets and contribute to sprint planning. ● Provide structured progress reports and articulate technical requirements clearly. ● Deliver under tight timelines while maintaining high quality standards.

Additional Skills & Qualifications

● Bachelor’s or Master’s degree in Computer Science, Geospatial Engineering, Robotics, Civil Engineering, or a related technical field. ● Minimum 3 years of professional experience in geospatial systems, mapping, or related fields. ● Strong hands-on experience with GIS platforms such as ArcGIS, QGIS, MicroStation ● Proven experience working with large-scale mapping or geospatial production projects. ● Experience with one or more: CloudCompare, MicroStation, OpenCities, TerraSolid, Lidar360 ● Strong understanding of LiDAR processing workflows. ● Strong Python programming skills (required). ● Experience with geospatial libraries (e.g., GDAL, Shapely, GeoPandas). ● Experience with C (plus). ● Experience with PostGIS. ● Strong understanding of spatial indexing and query optimization. ● Familiarity with: OSM, Lanelet, OpenDrive, GeoJSON, LAS/LAZ Preferred Qualifications ● Experience in HD Mapping production pipelines for autonomous vehicles. ● Experience validating road network topology and connectivity logic. ● Familiarity with routing algorithms and graph-based road modeling. ● Experience with automation pipelines and CI/CD for geospatial systems. ● Understanding of coordinate systems, projections, and EPSG transformations. ● Experience with sensor calibration workflows (LiDAR camera). ● Experience managing distributed contributors or remote freelancers. What Makes You a Strong Fit ● You are deeply passionate about geospatial data and mapping systems. ● You enjoy working hands-on with large, complex datasets. ● You are comfortable working extended hours when necessary to meet critical delivery milestones. ● You thrive in high-responsibility environments with production-level expectations. ● You take ownership of map quality and continuously seek improvement. ● You communicate clearly and document your work effectively. ● You can balance technical depth with operational execution.

Experience Level

Intermediate Level

This is a Contract to Hire position based out of Mountain View, CA.

The pay range for this position is $55.00 - $77.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

This is a fully onsite position in Mountain View,CA.

This position is anticipated to close on Jun 5, 2026.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Salary : $55 - $77