Job Description

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what were all about at John Deere. And its why were investing in our people and our technology like never before! Here the worlds brightest minds are tackling the worlds biggest challenges. If you believe one person can make the world a better place, well put you to work. RIGHT NOW.

Primary Location: United States (US) - California - San Francisco
Function: Product Engineering
Title: Staff Software Engineer - 69526

Job Responsibilities

As a Staff Software Engineer you will join our team building a world class data platform for advanced analytics and artificial intelligence. This team will design, develop, and support our Precision Ag analytics platform - enabling petabyte scale ingest, modeling, and retrieval of data. Our team builds production data products that utilize machine learning algorithms to enable intelligent, automated equipment and to improve farmer decision making. Join a team that is passionate about making a difference by applying cutting edge technology to solve some of the world's biggest problems.

Write clean, well-tested code to enable ingest, storage, retrieval, and transformation of large scale geospatial data for analysis, research, and model development.
Contribute to the development of next-generation data structures and APIs that enable secure, performant, cost effective access to data for research and model development.
Identify and adopt engineering best practices to drive high performance and high expectations from other engineers.
Collaborate and communicate closely with data scientists and engineers to identify and build needed infrastructure, tools, and libraries to support machine learning algorithms.
Provide code reviews and technical guidance to other members of the team.

What Skills You Need

5 or more years of software engineering experience
3 or more years of experience building and supporting mission critical, global, production-scale, cloud-based systems using Amazon Web Services (AWS) or relevant cloud technologies
Demonstrated ability to architect and build large scale processing pipelines
Experience designing and implementing geospatial data structures, analysis systems, and visualizations
Strong coding skills in Python and additional experience with C++, Java, and/or Scala
Demonstrated experience with infrastructure-as-code, automation, monitoring, and a DevOps mindset
A solid foundation in computer science, particularly with algorithm development
Strong analytic skills with high attention to detail and accuracy
An ability to inform and influence others through your strong communication skills

What Makes You Stand Out

Expertise with geospatial, IoT, or high frequency unstructured data sets
Sense of ownership, curiosity, and ability to function in a fast paced, collaborative team environment that is distributed across various time zones and locations
Experience with Spark, Databricks, or AWS Sagemaker
Experience working with GDAL or similar spatial libraries
Experience with machine learning techniques or tools
A strong track record of contributions to the open source community
Advanced degree, Engineering or Computer Science preferred
Education

Bachelor's degree in Engineering or Computer Science

What You'll Get

At John Deere, you are empowered to create a career that will take you to where you want to go. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. We offer comprehensive relocation and reward packages to help you get started on your new career path. Click here to find out more about our Total Rewards Package.

The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines.

John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.