Lead technical discovery with perception teams working on autonomous systems, understanding their sensor stack, model development pipelines, and data challenges
Architect complete solutions for complex multimodal datasets (LiDAR + camera + radar fusion, sensor calibration)
Act as technical authority on how Encord handles 3D point clouds, sensor fusion, temporal sequences, and multimodal annotation
Build bespoke POCs for LiDAR data ingestion, point cloud processing, coordinate transformations, and sensor calibration
Develop custom integrations with robotics/AV stacks (MCAP, ROS, Apollo, Autoware)
Create technical demos showcasing LiDAR annotation, 3D bounding boxes, semantic segmentation, and multi-sensor fusion
Debug complex issues involving point cloud rendering, sensor calibration matrices, and multimodal data synchronization
Guide prospects through technical evaluations of LiDAR formats, sensor configurations, and annotation requirements
Provide expert consultation on 3D annotation best practices, coordinate conventions, and quality control workflows
Partner with Account Executives to co-own technical wins in enterprise sales cycles
Translate technical capabilities into business value for CTOs and senior stakeholders
Channel customer feedback to Product and Engineering teams to shape our roadmap

1+ years working with LiDAR data in autonomous vehicles, robotics, or physical AI applications
Strong Python programming or other scripting language proficiency
3D perception knowledge — point cloud processing, 3D object detection, semantic segmentation, SLAM
Autonomous systems experience with ROS, sensor calibration, coordinate transformations, and multimodal sensor integration
Prior experience in a customer-facing technical role (Solutions Engineering, Technical Account Management, or similar)
Expert in LiDAR data formats (PCD, LAS, PLY, etc.) and point cloud processing
Understanding of sensor calibration, coordinate transformations, and sensor fusion
Knowledge of ML frameworks, model development processes, and perception model requirements
Experience with cloud infrastructure (AWS, GCP, Azure), APIs, and SaaS platforms

Competitive salary, commission, and meaningful equity in a high-growth startup
Clear, accelerated growth opportunities as the company scales rapidly
Strong in-person culture: 3–5 days/week in our newly launched North Beach loft office
Flexible PTO to fully recharge
18 paid vacation days in the U.S. plus federal holidays
Annual learning & development budget
Comprehensive health, dental, and vision coverage
Frequent travel opportunities across the U.S., London, and Europe
Bi-annual company offsites, twice-weekly team lunches, and monthly socials

Solutions Engineer – Autonomous Vehicles, Robotics

Key skills