Summary

We are seeking a motivated Senior CVML Engineer for Blue River Technology's autonomous mower initiative. You will be responsible for developing core computer vision models to enhance system safety and performance in challenging production environments. This role spans the entire development lifecycle, from initial prototyping to production scaling, including data collection, model training, and model deployment on embedded systems. We are looking for an experienced, collaborative individual eager to contribute to the future of autonomous mowing.

• Employment Type: Full-Time
• Work Location: Remote in the United States
• Visasponsorship: Open to visa sponsorship.

Job Responsibilities

A combination, not necessarily all-inclusive, of the following:

• Build production models. You will design, train, and deploy production-grade deep learning models for critical perception tasks of depth estimation, segmentation, and tracking.
• Advanced Edge optimization. You will fine-tune models for real-time, sub-millisecond inference on the mower's embedded NVIDIA GPU platforms. You will design custom mixed-precision strategies and implement quantization-aware training for model attention layers.
• Own model development. You'll take complete ownership of your models, from rapid prototyping through to validation and final deployment in the perception pipeline.
• System integration. You will collaborate closely with our robotics team to integrate perception outputs into the robotics stack. You will architect onboard pipelines, maximizing GPU saturation across multiple camera feeds.
• Data-driven improvement. You will analyze performance on mowing site data, identify failure cases, and continuously improve the model and perception pipeline's performance against challenging outdoor conditions.
• Leverage real and synthetic data. You will develop strategies for using real-world site data and generating synthetic data to train models and validate the perception pipeline's performance, thereby improving overall system robustness.

Required Experience and Skills

• 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.

Preferred Experience and Skills

• Direct experience deploying real-time vision models on physical robots or autonomous vehicles.
• Demonstrated ability to build and deploy end-to-end ML pipelines (data ingestion, training, testing, and deployment).
• Proficiency with on-device model optimizations using TensorRT, ONNX, or similar engines.
• Experience with hardware-accelerated compression techniques, knowledge distillation, or network structural pruning.
• Familiarity with robotics frameworks like ROS / ROS2.

At Blue River, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $160,000 - $287,000/year for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. This position is also eligible for an annual performance bonus and a competitive benefit package. During the recruitment process, we may identify an alternative role or level to which you are more suited. If your ideal role at Blue River differs from the advertised position, we will provide an updated pay range as soon as possible during the hiring process.

We're passionate about creating an inclusive workplace that promotes and values diversity. While we have more work to do to advance diversity and inclusion, we're investing in our programs, including recruiting, mentorship, career development, and learning & development, to ensure they support our Diversity, Equity, and Inclusion goals. We support each employee in living a full life, enabling a thriving career, and accomplishing a meaningful, challenging mission while collaborating with incredible people. We are dedicated to building a diverse and inclusive workplace, so if you're excited about this role but your experience doesn't align completely with the job description, we encourage you to apply anyway.