> Markdown version of [/jobs/ext/1920947-computer-vision-engineer](https://www.wearedevelopers.com/jobs/ext/1920947-computer-vision-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Computer Vision Engineer - **Company:** ARCHER - **Location:** San Jose, CA, United States - **Salary:** $140,000.0 - $260,000.0 - **Contract:** Permanent contract - **Skills:** Computer Vision, C++ (Programming Language), Cloud Database, Nvidia CUDA, Python (Programming Language), Machine Learning, Object Detection, OpenCV, Sensor Fusion, Test Data, Pytorch, Deep Learning, TensorRT - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=7086f805bd3dac5b ## About the Role * Strong background in computer vision and/or machine learning, with a degree in a related technical field or equivalent experience * Proficiency in C++ and Python * Experience with deep-learning frameworks (PyTorch, TensorRT) and classical CV (OpenCV) * Experience processing lidar and/or radar point-cloud data * Experience with sensor calibration and multi-sensor fusion * Demonstrated ability to take algorithms from concept through real-time, embedded deployment Bonus Qualifications: * Experience deploying perception models on NVIDIA Jetson / CUDA-based embedded platforms * Experience with precision or automated landing systems * Background in subscale aircraft, robotics, or vehicle perception ## Description * Develop the onboard perception stack, fusing camera, lidar, and radar data for object detection, tracking, and precision landing capabilities * Design and implement deep-learning and classical computer vision algorithms for real-time, embedded deployment * Perform sensor calibration and multi-sensor fusion across camera, lidar, and radar * Optimize perception algorithms for real-time performance on embedded compute * Analyze test data to characterize and improve perception performance * Collaborate with navigation, controls, and hardware teams to integrate perception outputs into the broader system ## Related Videos - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Deepfakes in Realtime - How Neural Networks Are Changing Our World](https://www.wearedevelopers.com/videos/180-deepfakes-in-realtime-how-neural-networks-are-changing-our-world) - [Trends, Challenges and Best Practices for AI at the Edge](https://www.wearedevelopers.com/videos/630-trends-challenges-and-best-practices-for-ai-at-the-edge) - [Efficient deployment and inference of GPU-accelerated LLMs​](https://www.wearedevelopers.com/videos/929-efficient-deployment-and-inference-of-gpu-accelerated-llms) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [6 Emerging Technologies We’ll Learn About in 2025](https://www.wearedevelopers.com/magazine/381-6-emerging-technologies-we-ll-learn-about-in-2025) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)