Software Engineer, Perception (SLAM/VIO)

Rivet Industries

$150K — $180K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS with 10+ years or MS with 8+ years in inertial sensing, computer vision, robotics or related fields.
  • Strong understanding of linear algebra, SLAM, VIO, and structure-from-motion techniques.
  • Proficient in C++ and Python with a focus on real-time optimization.
  • Experience with libraries like OpenCV and Ceres.
  • Knowledge of sensor modeling, calibration, and noise characteristics.
  • Hands-on experience with real-time processing on embedded or edge hardware.
  • Familiarity with probabilistic estimation and filtering techniques.

Responsibilities

  • Develop and optimize sensor fusion algorithms for SLAM and VIO.
  • Implement state-of-the-art structure-from-motion techniques for 3D reconstructions.
  • Build calibration and sync pipelines for multiple sensor types.
  • Evaluate algorithms using public benchmarks and real-world datasets.
  • Integrate outputs into collaborative mapping systems.
  • Collaborate with hardware and robotics teams for performance optimization.
  • Define metrics and testing frameworks for production-ready systems.

Benefits

  • Unlimited paid time off (PTO).
  • Competitive benefits package.
  • Potential eligibility for equity and other compensation.
Full Job Description
Role: Software Engineer, Perception (SLAM/VIO)

Location: 2550 N First Street Suite 250, San Jose, California 95131

Description

We are building the perception stack that enables robust three/six degrees of freedom tracking, localization and mapping in complex real-world environments. This role focuses on fusing data from cameras and inertial sensors to power SLAM / Visual-Inertial Odometry pipelines. We need an experienced perception software engineer that can create algorithms and systems that run in real time, handle uncertainty gracefully, and provide the foundation for advanced spatial intelligence on edge devices.

Responsibilities
  • Develop and optimize sensor fusion algorithms combining IMU and camera data for SLAM and VIO (Simultaneous Localization and Mapping & Visual Inertial Odometry)
  • Implement state of the art structure-from-motion techniques using different sensor modalities to generate consistent 3D reconstructions
  • Build Calibration and sync pipelines across multiple sensor types
  • Evaluate algos against public benchmarks and real-world datasets
  • Integrate outputs into higher-level autonomy or collaborative mapping systems (i.e. shared mapping systems)
  • Collaborate with HW, robotics and platform teams to ensure end-to-end performance
  • Define metrics, testing frameworks and deployment strategies for production-ready perception systems


Requirements
  • BS with 10+ years of academic or industry experience in inertial sensing, computer vision, robotics or related fields with shipped or published work (or MS with 8+ yrs of the above)
  • Strong background in linear algebra, SLAM, VIO and structure-from-motion
  • Proficient in C++/Python with experience in real-time optimization
  • Familiar with libraries such as OpenCV, Ceres etc.
  • Knowledge of sensor modelling, calibration and noise characteristics
  • Experience with real-time processing pipelines on embedded or edge hardware
  • Familiarity with probabilistic estimation, filtering (e.g. EKF/ factor-graph optimization)
  • Preferred track record of applied research in robotics or AR/VR


Compensation may vary within the posted range based on relevant experience, skills, education, and other job-related factors. In addition to base salary, this role may be eligible for equity and other forms of compensation. Eligible employees also receive a competitive benefits package, including unlimited PTO.

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