Sr. Software Engineer, Perception Data Infrastructure

Responsibilities

• Design and advance systems that render and manipulate massive, multi-modal sensor datasets (Lidar, Camera, Radar) efficiently in UI environments.
• Parse raw sensor data and manage complex data pipeline propagation between onboard hardware logs and offboard visualization.
• Enforce strict data validation and annotation constraints to prevent upstream labeling errors from polluting downstream ML pipelines.
• Create seamless, resilient API boundaries between ML data pipelines and Ground Truth/Data Platform infrastructure.
• Architect core data platforms: Take formal technical ownership of native, C++ based perception data visualization and annotation platforms.
• Optimize 3D rendering & robotics data: Solve deep performance bottlenecks related to rendering high-density Lidar point clouds and multi-camera projections in real-time.
• Build robust data validation layers that catch sensor calibration errors, synchronization failures, and human labeling mistakes before they enter the ML training loop.
• Act as the technical bridge between ML, Data and Infrastructure engineers, and labeling operations.

Requirements

• BS/MS in Computer Science, Software Engineering, Robotics, or a related quantitative field.
• 4+ years of industry software engineering experience.
• Fluency in C++ and strong familiarity with Python.
• Proven ability to lead cross-functional technical projects, bring order to complex codebases, and drive them to completion in ambiguous settings.
• Deep practical experience in building robust, high-performance software systems or infrastructure.

Nice-to-Haves

• Deep familiarity with robotics software stacks, sensor parsing, coordinate frames, and pipeline propagation.
• Familiarity with 3D graphics/rendering (WebGL, OpenGL), point cloud processing, or autonomous driving sensor data.

Compensation

• Base pay range: $193,930 - $291,150/year.
• Eligible for annual performance bonus, equity, and competitive benefits package.