Full-Time

Software Engineer

Machine Learning and Infrastructure

Confirmed live in the last 24 hours

Agtonomy

11-50 employees

Remote and autonomous farm management solutions

Food & Agriculture

Hardware

Senior

San Bruno, CA, USA

Required Skills

Kubernetes

Microsoft Azure

Python

Tensorflow

AWS

Data Analysis

Requirements

BS or above in Computer Science/Engineering and 4+ years of industry experience
Experience working with production machine learning pipelines
Knowledge in using common deep learning frameworks like Tensorflow, Pytorch, Caffe
Skilled in C++ (11 or newer) and Python
Demonstrated experience in profiling CPU/GPU code
Experience with container orchestration systems like Kubernetes
Experience working with data processing pipelines in the cloud (AWS, Azure, Google Cloud, etc.)
Solid understanding of metrics, data analysis, and scientific evaluation
Strong software engineering skills
Passion for sustainable energy and electric vehicle development

Responsibilities

Design and implement machine learning tooling and workflows
Develop and optimize training pipelines in distributed environments
Establish automated ETL pipelines
Programmatically increase training efficiency of different neural network architectures
Improve the developer experience and performance of the scalable ML platform
Develop application/ML metrics to measure model performance
Thrive in a fast-moving, collaborative, small team environment

About Us

Agtonomy is a hybrid autonomy and tele-assist service platform that turns tractors and other equipment into autonomous machines. A robust sensor suite and custom software stack enable remote modes of operation with a higher margin of safety than conventional equipment. Agtonomy, through its OEM partners, will address both local agriculture skilled labor shortages and broader land maintenance operations, including wildfire prevention through land clearing.

About the role

We are looking for a talented ML Infrastructure engineer to join the Autonomy team and help build state-of-the-art model training, evaluation, and deployment pipelines to aid in the development of the perception modules of our self-driving vehicles. You will be responsible for providing solutions to empower machine learning development and optimize offboard training.

What you’ll be doing:

Design and implement machine learning tooling and workflows for analysis & augmentation of real-world data
Develop and optimize training pipelines in distributed environments
Establish automated ETL pipelines
Programmatically increase training efficiency of different neural network architectures
Improve the developer experience and performance of our scalable ML platform
Develop application/ML metrics to measure model, perception system, and overall self-driving performance; analyze for performance optimization opportunities

What you’ll bring:

BS or above in Computer Science/Engineering and 4+ years of industry experience in designing and implementing deep learning, ML, or data analytics infrastructure
Experience working with production machine learning pipelines, from dataset collection and labeling to training and validation
Knowledge in using common deep learning frameworks, e.g. Tensorflow, Pytorch, CaffeSkilled in C++ (11 or newer) and PythonDemonstrated experience in profiling CPU/GPU code
Experience with developing, running, and managing container orchestration systems like Kubernetes
Ability to thrive in a fast-moving, collaborative, small team environment with little supervision

What makes you a strong fit:

Experience working with data processing pipelines for training in the cloud (AWS, Azure, Google Cloud, etc.)Solid understanding of metrics, data analysis, and scientific evaluation
Strong software engineering skills building well-designed, highly-maintained and high-reliability code used by other engineers
Passion for sustainable energy and electric vehicle development

Agtonomy

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Website

View Company Profile

Agtonomy's TeleFarmer™ solution is transforming the future of agriculture by utilizing advanced software to enable remote management and operation of farm equipment. This company is a compelling workplace due to its focus on sustainable agriculture, pioneering the use of electric tractors and robust remote-control systems to enhance agricultural productivity and efficiency. The innovative spirit and industry leadership in agricultural technology at Agtonomy make it an exceptional environment for professionals passionate about modernizing farming practices and sustainability.

Company Stage

Series A

Total Funding

$45M

Headquarters

San Francisco, California

Founded

2021

Growth & Insights

Headcount

6 month growth

↑ 11%

1 year growth

↑ 11%

2 year growth

↑ 113%