Nuro

Sr. Software Engineer, Perception Data Infrastructure

Nuro
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6 months ago
Mountain View, CA, USASenior
H1B sponsor

Base Salary

$194k - $291k/yr

Responsibilities

  • Own the native C++ perception data visualization and annotation platforms.
  • Render and manipulate large multimodal Lidar, camera, and radar datasets efficiently in user interfaces.
  • Optimize real-time 3D rendering of dense Lidar point clouds and multi-camera projections.
  • Parse raw sensor data and manage propagation between onboard hardware logs and offboard visualization.
  • Build data validation layers that detect sensor calibration, synchronization, and human labeling errors.
  • Create resilient API boundaries between ML data pipelines and Ground Truth/Data Platform infrastructure.
  • Provide technical leadership across ML, data, infrastructure, and labeling operations.

Requirements

  • BS or 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.
  • Experience building robust, high-performance software systems or infrastructure.
  • Ability to lead cross-functional technical projects and complete complex work in ambiguous environments.
  • Robotics software stack, sensor parsing, coordinate frame, and pipeline propagation experience is a bonus.
  • WebGL, OpenGL, point cloud processing, or autonomous driving sensor data familiarity is a bonus.

Benefits

  • Eligible for an annual performance bonus, equity, and a competitive benefits package.

Tech Stack

Categories

BackendData Engineering
Nuro

About Nuro

1,001-5,000 employees

Nuro builds the Nuro Driver, a Level 4 self-driving platform for robotaxis, commercial fleets, and personally owned vehicles. It licenses its autonomy software and integrates it with automotive-grade hardware for automakers and mobility platforms. Founded in 2016 and headquartered in Mountain View, California, Nuro is privately held and has operated real-world self-driving deployments.

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