GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.
At GE Digital, we are creating technology and solutions to enable social, mobile, analytical and cloud capabilities for the Industrial Internet. The Industrial Internet is an open, global network that connects people, data and machines. It's about making infrastructure more intelligent and advancing the industries critical to the world we live in. At GE, we believe it's about the future of industry-energy, healthcare, transportation, manufacturing. It's about making the world work better. GE is transforming itself to become the world's premier digital industrial company, executing critical outcomes for our customers. Explore how you can drive greater asset reliability, lower operating costs, reduce risk and accelerate operational performance with our Predix platform and software solutions.
GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Do you have a deep technical passion and enjoy pushing the limits? Do distributed systems excite you? Do you dream in micro-services? Can you solve a linear regression problem before your first cup of coffee? Are you a seasoned technologist who is looking to build a platform that will interact with hundreds of millions of IoT devices and have a ubiquitous effect on our lives and the world?
The GE Predix Digital Twin team is looking for a full stack Staff Software engineer to help build the next generation machine learning platforms and applications. We are looking for smart, enthusiastic, and friendly technologists to design, implement, support, and grow the tools our developers and customers use nearly every minute of their day.
In this role, you will:
+ Work with product leaders to understand requirements and vision
+ Collaborate with colleagues from Product, Data Science and Architecture groups to distill system requirements and socialize designs.
+ Engage with your peers to build the best possible product through regular code review, technical whiteboard, and design sessions
+ Own product level features and deliver awesome code with speed and quality
+ Create robust APIs that expose cutting-edge machine learning capabilities
+ Build intuitive tools for experts in the field to create production grade machine learning solutions
+ Evaluate new technologies and methods that would be useful to the team
+ Be a steward of standards and the state of the art for your colleagues and team members
+ Establish trust across the organization and grow into an inspiring leader in the domain of machine learning
Qualifications/Requirements: Basic Qualifications:
+ Bachelor's Degree in Computer Science or in "STEM" Majors (Science, Technology, Engineering and Math) or equivalent experience
+ A minimum of 5 years of professional experience in SW Development and protocols OR Master's degree with 3 years of experience in SW Development and protocolsEligibility Requirements:
+ Legal authorization to work in the U.S. is required. GE may agree to sponsor an individual for an employment visa now or in the future if there is a shortage of individuals with particular skills.
+ Must be willing to work out of an office located in San Ramon, CA
+ Must be willing to travel (less than 10%)
+ Working knowledge of client side technologies like Angular.js
+ Hands on experience in crafting, implementing, and operating web-scale distributed systems
+ Previous experience with Platforms as a Service (PaaS) such as Cloud Foundry or Heroku or OpenShift
+ Background or professional experience in statistical methods, analytics, or machine learning
+ Demonstrated problem solving abilities and capacity to execute with limited information and ambiguous problem definitions.
+ Excellent communication skills\#DTR
Locations: United States; California; San RamonGE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion of a background investigation and drug screen.
A little about us:
GE imagination at work.