About Paperspace

Paperspace is a high-performance cloud computing and ML development platform for building, training and deploying machine learning models. Tens of thousands of individuals, startups and enterprises use Paperspace to iterate faster and collaborate on intelligent, real-time prediction engines.

Paperspace is backed by leading investors including Battery Ventures, Intel Capital, SineWave Ventures, Sorenson Ventures, Y Combinator and Initialized Capital.

Please apply via Lever.

About the role

Paperspace is looking for highly motivated engineers to help us architect the future of machine learning and GPU cloud computing. This position requires a love of software and a willingness to jump between many levels of a stack. You will be developing applications and extensions to Kubernetes to support new machine learning/deep learning scenarios. Our stack includes a message broker layer, native Kubernetes services and extensions, interfacing with lower level and higher level software defined networking, and distributed storage layers.

The ideal candidate should be interested in new tech/frameworks/tools and very experienced in Go and Kubernetes.

Excellent communication skills are essential.

Technical Requirements

• expert in Go

• some production deployment / DevOps experience (Docker, CI, Kubernetes, etc) 

• Git/GitHub experience, including merging, rebasing, and pull requests 

• experience working in SQL and/or with NoSQL datasources

Benefits

• Competitive base salary

• Generous PTO

• Employer-matched retirement benefits (401k)

• Multiple health care options with premium plans in addition to Vision and Dental Insurance plans

• Commuter benefits with contribution from the company 

• Fitness & wellness benefit

• Competitive parental leave policy

• Catered dinners, unlimited snacks, beer on tap, etc.

• Team happy hours and events

We are an equal opportunity employer that values and welcomes diversity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Please apply via Lever - https://jobs.lever.co/paperspace.