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  3. Sr. Software Engineer, Perception Data Infrastructure
Nuro logo

Sr. Software Engineer, Perception Data Infrastructure

Nuro
Mountain View, California
Full Time
Posted April 6, 2026
$194k - $291k
Not Specified
Apply Now

Application opens on company website

Job Description

The Senior Perception ML Data Infrastructure Engineer is responsible for developing and maintaining high-performance data platforms and systems that handle complex 3D sensor data for autonomous vehicles, ensuring efficient data processing, validation, and visualization to advance autonomy capabilities.

Key Responsibilities

  • Own and maintain the core perception data platform for autonomous vehicles
  • Render and manipulate large-scale, multi-modal sensor datasets including Lidar, Camera, and Radar
  • Parse raw sensor data and manage data pipeline propagation between onboard hardware logs and offboard visualization
  • Implement data validation and annotation constraints to ensure high-quality data for ML training
  • Create and maintain resilient API boundaries between ML data pipelines and the Ground Truth Data Platform
  • Optimize performance of 3D rendering for high-density Lidar point clouds and multi-camera projections
  • Build robust data validation layers to detect sensor calibration errors, synchronization issues, and labeling mistakes
  • Lead cross-functional technical projects to improve data infrastructure and unblock operational bottlenecks

Requirements

  • BS or MS degree in Computer Science, Software Engineering, Robotics, or a related quantitative field.
  • At least 4 years of industry software engineering experience.
  • Fluency in C programming language.
  • Strong familiarity with Python programming language.
  • 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.
  • Experience with building and optimizing core data platforms for perception data visualization and annotation.
  • Experience with optimizing 3D rendering of high-density Lidar point clouds and multi-camera projections in real-time.
  • Ability to build robust data validation layers that catch sensor calibration errors, synchronization failures, and human labeling mistakes before they enter the ML training loop.
  • Ability to create seamless, resilient API boundaries between ML data pipelines and data platform infrastructure.

Benefits & Perks

Compensation/salary range between $193,930 and $291,150 annually, depending on experience and qualifications
Annual performance bonus
Equity options
Competitive benefits package

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