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# Sr ML Infrastructure Engineer, E2E Autonomy

- **Company:** Blue River Technology
- **Location:** Santa Clara, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $160,000.0 - $287,000.0
- **Contract:** Permanent contract
- **Skills:** Nvidia CUDA, Middleware, Python (Programming Language), Machine Learning, Systems Architecture, Robot Operating System, Enterprise Software Applications, Delivery Pipeline, Data Management, Machine Learning Operations, Data Pipelines
- **Published:** June 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8a287ddf2efaaaf0

## About the Role

As a Senior ML Infrastructure Engineer, you will help grow and shape our E2E stack. This involves shaping the design of the E2E training and inference pipeline, both on and off vehicle, on and off prem. You will also help with new models, features, and augmentations. This is a lean team moving quickly. You should be comfortable and excited about working with ambiguity, helping define what will move the program forward, working across traditional boundaries, and learning new things.

 * Employment Type: Full-Time
 * Work Location: Santa Clara, CA preferred. If remote, you will need to occasionally travel (10-15%) to work with the team and visit the field.
 * Visa sponsorship is available for this position., * 4+ years of professional experience developing machine learning infrastructure, data platforms, robotics software, or related systems.
 * Proven track record of delivering complex data pipelines in production environments.
 * Strong background with ML pipelines and system architectures.
 * Strong Python coding skills.
 * Comfortable working across traditional team boundaries to deliver results.

Preferred Experience and Skills

 * Experience with robotics middleware such as ROS or other robotics-focused software packages.
 * Experience with large-scale agricultural, construction, or heavy machinery systems.
 * Strong CUDA background or other GPU frameworks.

## Description

The main job responsibilities include:

 * Design and own our data pipeline, from ingestion to training to search to reinforcement-learning correction data, and hopefully one day to simulation.
 * Grow the scale of our training pipeline from 10's of hours of data to 1000's of hours of data.
 * Design extensible software to work across many vehicle platforms and jobs.
 * Evaluate new models and model architectures.
 * Work closely with ML engineers and robotics engineers, collaborate to solve cross-disciplinary problems, and improve performance.
 * Make our project and customers successful.
 * Be an ambassador for our needs and help steer us towards an E2E-first organization.


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