About PingThings, Inc.

Join the Core Team


Work with a small, world class team building the next generation of time series platforms to revolutionize the country's electric grid and more.

When we say time series, we mean a streaming sequence of tuples each with a timestamp and a floating point value [timestamp, value]; the value arises from a sensor taking a measurement of a real world, physical process at some sample rate, often significantly greater than 1 Hz. We have won grants from the Department of Energy, ARPA-E, and the National Science Foundation. If you have ever wanted to join a startup whose management is primarily technical and who has market traction before the Series A, this is that opportunity.


A Little About You
  • You're self directed.
  • You're sharp and intellectually curious.
  • You're friendly.
  • You are persistent.
  • You want to improve.
  • You enjoy building and creating.
  • You are happy and successful working remote.

Your Philosophy
  • Believe in using your powers for good and "growing the pie," instead of trying to get a slightly bigger slice for yourself.
  • Team first - we have and will continue to build a zero politics environment.
  • Eager to join a small, talented, and like-minded team.
  • Excited to collaborate with some of the best and the brightest in the world including the RISELab (the successor to the AMPLab), UC Berkeley, and multiple National Laboratories.
  • Appreciates and maximizes the opportunity to work from home.
  • Agree with the Python Code of Conduct.

Please note that a background check may be required due to the sensitive nature of the utility industry's data.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Benefits

Why Work at PingThings?


Health & Wellness

Full time employment comes with full benefits including health insurance.

Learning & Development

Work with and learn from brilliant, seasoned software engineers from both the East and West Coasts.

Work Remotely

Remote work available for the driven self-starter.

Jobs

Open Positions


Following list displays our current required positions. This list will update regularly.

We are looking for a senior systems engineer to work on our time series database and analytics platform. Our ideal person would have strong fundamentals in creating Go microservices using GRPC in a kubernetes environment.


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We're looking for someone to help grow our DevOps as we scale the company and onboard new customers. An ideal candidate for this position would have strong Linux/UNIX and networking fundamentals, as well as experience with containerization and container orchestration.


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You will work with real-time data streams, engineer for performance across browsers, and delight people by making the best software we can imagine. You will collaborate closely with stakeholders to spec, build, test, and deploy new features. You'll brainstorm with Product Managers and Designers to conceptualize new features. You'll collaborate with the back-end engineering team and our growing user base to build, test, and evaluate new features. You'll implement performant Javascript to create new application features and data visualizations. You'll learn about new web technologies and discuss potential solutions to problems.


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Use your extensive knowledge of Python’s machine learning suite (TensorFlow, scikit-learn, etc) to help our data science team train machine learning models and develop insights on high-resolution time-series data. You will write feature extraction transformers, train models and tune hyperparameters using a visual analytics workflow to produce operational models that run on real-time data streams. We submit pull requests, do code reviews, write docstrings, and consider not only the accuracy of our models but also the efficiency of our code. This position reports directly to the Chief Data Scientist.


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We are looking for our first full-time Product Designer to lead the design of the PredictiveGrid™ Analytics Platform. You will design web-based tools and experiences that allow users to understand their time series data at scale through visualization, transformation, and machine learning, allowing the data to tell its story and users to act on it.


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Given pull from different verticals for our time series platform, we are building out the sales and business development processes and team at PingThings. You will help build out our sales effort in multiple industrial verticals and online to generate revenue for the business. This position is one where learning is essential - we need to determine what will work best as we sell into different verticals including electric transmission, generation, distribution, renewables and clean tech, oil & gas, manufacturing, and more.


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Use your agile process skills to coach agile a small software engineering and data science team working on time-series databases and deep learning projects for the power grid. You will work with world-class engineers, helping them achieve their objectives and build novel software systems in an iterative fashion. Your passion for agile artifacts and attention to detail will ensure that you are a critical part of the design and implementation of new features and components.


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Are you talented at guiding business teams through the process of procuring and executing government contracts? Use your experience to ensure we satisfy deliverables in cutting-edge data science projects. This position reports directly to the CEO.


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Still in School?

Internship Program


Apply your research and academic experience in a real-world environment, developing practical skills that will enhance your career prospects once you get out of school! The PingThings internship program is designed for post-baccalaureate and graduate students to get out of the classroom and the lab and to get their hands dirty with real power engineering, databases, and machine learning.

Please email jobs@pingthings.io including a blurb as to why you are interested in the position and a link to your LinkedIn profile and Github. We will contact you as soon as possible.