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A bit about us:

This venture-backed company has raised $20.6M to date—including a Series B in March 2025—and is already generating revenue with a strong customer base across industries like automotive, robotics, agriculture, defense, and healthcare. Their team of top engineers and researchers is developing advanced 3D perception technology that replaces traditional LiDAR and radar. Using only passive sensors such as cameras and IMUs, their proprietary platform delivers dense, real-time, semantically rich 3D data. They operate as a lean, mission-driven, remote-first team and are backed by some of the industry's leading investors.

Why join us?

  • Equity included
  • Fully remote (US only), with optional office
  • Small, high-trust team with strong ownership culture
  • Work on cutting-edge perception and 3D understanding systems
  • Full Benefits Package

Job Details

Responsibilities:
  • Build and deploy real-time perception systems involving 3D geometry, sensor fusion, or computer vision
  • Contribute to core features like 3D reconstruction, simulation, calibration, and visual-inertial odometry
  • Design algorithms and data structures to handle high-throughput, high-fidelity sensor data
  • Ramp up and contribute in C++ (support provided during transition if coming from another language)
  • Analyze edge cases, debug performance bottlenecks, and improve algorithmic stability
  • Collaborate across a remote-first team and participate in hiring efforts

Requirements:
  • Bachelor's degree in Computer Science, Robotics, or a related field and 2–5 years of professional experience in software engineering
  • Experience with or exposure to 3D systems — such as robotics, VFX, 3D simulation, game engines, CAD tools, or 3D graphics pipelines
  • Proficiency in any modern programming language (e.g., Python, Rust, C#, Java); willingness to learn and work in C++ (production level for senior candidates)
  • Strong grasp of fundamental algorithms and data structures
  • US citizenship or current green card (due to nature of work)
  • Direct experience with geometric CV, pose estimation, or multi-sensor fusion
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