Knightscope

Knightscope

Senior Software Engineer, Computer Vision

Sunnyvale, California · Senior · Full-time

Sponsorship not specified$140k-$175kDetected 36 days ago
PythonCI/CDMachine LearningComputer VisionSensors

About the role

  • Location Requirement: Full-time, on-site at Sunnyvale HQ (No relocation provided)

Responsibilities

  • Own and maintain the onboard detection pipeline running on the ICM across the new K1, H1, and K7 robots: Deep Stream multi-model architecture, YOLOv9/YOLO-family detection models for people, vehicle, license plate, and face detection, GPU-accelerated inference on NVIDIA Jetson Orin NX and Xavier.
  • Optimize edge inference performance: model quantization (INT8/FP16), Tensor RT engine compilation, DLA offloading, and latency profiling to meet real-time frame rate targets under concurrent multi-model load.
  • Architect and build the Signals AI intelligence layer: prioritization engine, pattern detection, recommendation scorer, explain ability module, and human-in-the-loop feedback pipeline.
  • Build and maintain ML Ops infrastructure: model versioning with ML flow or equivalent, automated training pipelines, CI/CD for model deployment, and production monitoring for accuracy drift and inference latency.
  • Define and maintain model evaluation frameworks, benchmark datasets, and performance regression tests to ensure detection quality across firmware and hardware updates.
  • Collaborate with the ICM Principal Architect, Full Stack engineers, and the Senior Audio/Video team to integrate ML outputs cleanly into the broader ICM and Signals platform.
  • This is a hands-on production engineering role - you will own model training, optimization, deployment, and ML Ops lifecycle end-to-end.
  • Own and maintain the onboard detection pipeline running on the
  • multi-model pipeline design, Gst-nvinfer plugin configuration, primary and secondary inference graphs, and custom output layer parsers.

Requirements

  • Strong proficiency with YOLO-family models (YOLOv8, YOLOv9, YOLO11): training, fine-tuning on custom datasets, ONNX export, and Tensor RT engine optimization.
  • Hands-on experience with NVIDIA Jetson platforms (Orin NX, Xavier, or equivalent): Tensor RT INT8/FP16 quantization, DLA offloading, GPU memory management, and latency benchmarking.
  • Experience with multi-modal sensor fusion and multi-camera detection pipelines is a strong differentiator.
  • Proficiency in Python for ML engineering
  • Hands-on experience with NVIDIA Jetson platforms (Orin NX, Xavier, or equivalent):
  • Required Qualifications

Compensation

  • $140,000 - $175,000 each (DOE)

Benefits

  • Medical, dental, vision, 401(k), paid time off
  • 5-10 years of software engineering experience with a focus on applied machine learning and computer vision in production environments - not research.
  • Equity: Stock options

Company info

  • About Knightscope
  • Knightscope is a security technology company building the Nation's First Autonomous Security Force.
  • The Company combines autonomous machines, advanced software, and human expertise to help protect people, property, and critical infrastructure.
  • Knightscope's long-term mission is to make the United States of America the safest country in the world.
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