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Senior CVML Engineer, Autonomy
Blue River TechnologySenior CVML Engineer at Blue River Technology developing advanced computer vision models for autonomous mowing solutions in invasive environments. Contributing to machine learning pipelines from design to deployment.
Posted 6/25/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $160,000 - $287,000 per yearWebsite
Tech Stack
Tools & technologiesPythonPyTorch
About the role
Key responsibilities & impact- Build production models, designing, training, and deploying production-grade deep learning models for critical perception tasks.
- Advanced Edge optimization including fine-tuning models for real-time inference on embedded NVIDIA GPU platforms.
- Own model development from rapid prototyping through to validation and final deployment.
- Collaborate closely with robotics team to integrate perception outputs into the robotics stack.
- Analyze performance on mowing site data, identify failure cases, and continuously improve models.
- Develop strategies for using real and synthetic data to train models and validate performance.
Requirements
What you’ll need- Bachelor’s or Master’s Degree in Computer Science or a related field, graduate degree preferred.
- 5+ years of post-academic experience building and deploying production vision models on real-time embedded systems.
- Hands-on expertise with deep learning frameworks (PyTorch preferred) and a deep understanding of modern computer vision architectures.
- Proven track record of taking models through advanced optimization pipelines with strong proficiency in TensorRT, NVIDIA ModelOpt, and ONNX runtime.
- Strong Python programming skills for model development and a strong command of C++ for writing performance-critical code.
Benefits
Comp & perks- annual performance bonus
- competitive benefits package
ATS Keywords
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Hard Skills & Tools
deep learningmodel developmentreal-time inferencecomputer visionoptimization pipelinesPythonC++NVIDIA GPUTensorRTONNX runtime
Soft Skills
collaborationanalysisproblem-solvingcontinuous improvement