About us

Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more.

We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.

The role

As a Solutions Engineer at Encord, you'll be the core technical expert for customers building autonomous vehicles, robotics, and physical AI solutions. Your expertise in LiDAR data, sensor fusion, and perception will be critical as you architect data solutions for prospects at the cutting edge of autonomous systems.

You'll partner with Account Executives to drive technical wins while establishing Encord as the definitive platform for managing multimodal sensor datasets. This role combines deep LiDAR technical expertise with customer-facing impact.


What you'll do

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

Who we're looking for

A creative problem-solver with a hacker mindset who builds robust scripts and integrations quickly

An excellent communicator, comfortable engaging both perception engineers and executive stakeholders

Customer-obsessed and passionate about solving complex technical problems

Deep empathy for autonomous systems engineers managing massive 3D datasets

Experience requirements

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

Why Encord

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