Sr. Computer Vision / Machine Learning Engineer at Corvus Robotics (Mountain View, CA)
Corvus Robotics· Mountain View, CA·
Role details
Job description
About the company
Every physical good spends time in a warehouse, and every warehouse tracks their inventory. Today, nearly 100% of warehouses track their inventory manually using barcode scanners and climbing forklifts. We'reCorvus Robotics. Our fully autonomousCorvus One™ drones use computer vision & robotics to automatically track inventory, improving worker safety and increasing labor efficiency. We believe that data-driven, safe inventory management will optimize the global physical economy and improve economic prosperity for humanity.
About the role
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.
Must have
- 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
Why work at Corvus Robotics
- Culture: Mission-driven team focused on solving “some of the hardest problems” in robotics and AI with a pragmatic, direct communication style. Core values include “Whatever it takes,” “Be a good person,” and “Do work you’re proud of.”
- Work policy: Hybrid/onsite presence in Mountain View, CA (Bay Area). Some roles (like Assembly Technician and Hardware roles) require on-site work; software roles may have flexible hybrid schedules as noted by team testimonials.
- Notable perks/culture highlights:
- High-density engineering talent — founders and CTO come from MIT and Northwestern robotics programs
- Real-world impact: Employees work directly with customers to see robots in action in warehouses
- “Cutting-edge innovation” in computer vision, robotics, and AI
- Strong team culture described by current engineers as welcoming, collaborative, and focused on impactful work
- Open to extraordinary talent: Career page explicitly invites candidates who don’t fit a job description to email career@corvus-robotics.com
- Current open roles (as of late 2024/2025): Robotics Software Engineer, Robotics Deployment Manager, Production Lead, Assembly Technician, Head of Marketing, and other specialized roles — signaling strong operational scaling.