> Markdown version of [/jobs/ext/3399301-computer-vision-machine-learning-software-engineers](https://www.wearedevelopers.com/jobs/ext/3399301-computer-vision-machine-learning-software-engineers). 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 / Machine Learning Software Engineers - **Company:** Corvus Robotics, Inc. - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Amazon Web Services, Artificial Neural Networks, Computer Vision, C++ (Programming Language), Software Code Optimization, Continuous Integration, Linux, Django Web Framework, Python (Programming Language), Machine Learning, Object Detection, TypeScript, Robot Operating System, Pytorch, Git, ONNX (Open Neural Network Exchange) Format, Data Management, Machine Learning Operations, TensorRT - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/sr-computer-vision-machine-learning-engineer-corvus-robotics-8121356 ## About the Role * 5+ years of industry experience in Computer Vision / Machine Learning, Python/PyTorch * Expertise in 2D and 3D computer vision techniques * Proficiency with Linux, Git, AWS/GCP, and CI/CD workflows * Experience in performance engineering for deep neural networks (both training and inference) * Knowledge of model optimization techniques for embedded systems, including knowledge distillation, model quantization, and network pruning * Adaptive and desire to assume responsibility in a fast-paced startup environment Nice to have * Experience with C/C++ * Familiarity with ROS (Robot Operating System) * Knowledge of model deployment frameworks (e.g., TensorRT, RKNN, OpenVINO, ONNX, CoreML) * Experience with TypeScript/JavaScript and Django * Experience with data labelers, tooling, and data management ## Description We are hiring Computer Vision / Machine Learning Software Engineers to build compute-constrained models for deployed robots. You'll tackle diverse technical challenges, working with vast amounts of sensor data to increase environmental awareness and provide customers with deeper inventory insights. We value problem-solving, innovation, and continuous learning, and we encourage exploring new technologies to advance our machine learning capabilities. What you'll do * Develop solutions for advanced computer vision tasks, including: + Monocular and stereo depth estimation + Learning-based structure-from-motion + 3D occupancy networks + Scene understanding + Object detection * Optimize performance, accuracy, and speed of compute-constrained models * Collaborate across teams to deploy CV/ML models into production * Improve ML pipelines and infrastructure for dataset management, training, and deployment * Participate in R&D initiatives (20% of time) to experiment with state-of-the-art techniques * Drive business value by leveraging your work across robotics, software, and deployment teams This role is in-person hybrid in Mountain View, CA. US work authorization is preferred but not required, can sponsor visas.