Senior Software Engineer - US (Remote) at VergeSense (S17)
AI-Powered Building Management
Boston, Minneapolis, San Francisco, or Remote
Full-time
About VergeSense

Our Company

The future of work is increasingly complex — remote workers, distributed teams, flexible multi-tenant office space — and the dynamic of how workers interact with each other and how workers interact with their physical space is changing.

VergeSense is building an easy-to-deploy space utilization & sensing platform that helps real estate professionals monitor foot-traffic within buildings. Data from our platform is used to improve building layout & design, execute dynamic workforce strategies, and reduce energy costs. For large clients, the financial impact is in the tens of millions per year. We provide a full-stack solution comprised of easy-to-deploy AI-sensors, fleet management tools, analytics software, and APIs that integrate with the leading workplace management systems on the market.

Current Events

We are in unprecedented times, and workplace tech is especially needed to help companies plan for a post-COVID workplace. Our AI-powered sensing products and platform are being called on more than ever to serve commercial real estate operators and employees of the modern workforce. We have been at the center of space planning conversations focused on helping companies comply with public health guidelines of social distancing, sanitation, among other applications. As companies plan the return to work for their teams, we are working with speed, accuracy, and care to deliver a crucial service in this transitional time.

Our Product

Deployed in minutes, our high-accuracy quick-installation sensors are able to identify the presence of people and key objects in the context of an office environment that signal how space is being used. Our analytics platform creates a sphere of intelligence within properties and provides actionable insights and AI-powered recommendations to help building managers make effective space planning decisions.

We’re building and training our sensors to become even smarter, with the goal of catering to an even wider range of customers, use cases, and industries. Our sensor-as-a-system and intuitive analytics dashboard provide a real-time view into what is happening in a space, and over time our sensors automatically learn to detect new types of events on the go.

Our Community

We are a lean, fast-moving, impact-focused (and fun!) team of 60+ across San Francisco HQ, Minneapolis, Boston, and remote locations. We count the Fortune 500 among our customers and are backed by leading investors including Y Combinator, Allegion Ventures, JLL, Bolt, Pathbreaker Ventures, with strong financial runway. We're always looking to add amazing individuals to our team.

We believe in allowing people to apply their strengths toward doing work they find meaningful. We value creativity and resourcefulness in team members, and would love to hear where you believe your contributions would be most impactful.

About the role

Our Company

The future of work is increasingly complex — remote workers, distributed teams, flexible multi-tenant office space — and the dynamic of how workers interact with each other and how workers interact with their physical space is changing.

VergeSense is building an easy-to-deploy space utilization & sensing platform that helps real estate professionals monitor foot-traffic within buildings. Data from our platform is used to improve building layout & design, execute dynamic workforce strategies, and reduce energy costs. For large clients, the financial impact is in the tens of millions per year. We provide a full-stack solution comprised of easy-to-deploy AI-sensors, fleet management tools, analytics software, and APIs that integrate with the leading workplace management systems on the market.

Our Philosophy

We like to move and iterate fast and believe in the outsized impact that a single team member can have on a company. A core philosophy of ours is simplicity — from product design, to engineering architecture, to our day-to-day working styles. Our team is experienced (previous successful exit in the IoT space), with a commitment to building an industry-leading product and open, communicative, and diverse team culture.

About You

We’re looking for our first  Senior Software Engineer  in our Boston office. You will play a key role in developing our user-facing analytics portal, deployment & commissioning tools, data-management tools, monitoring systems, and APIs, as well as building out our team culture as an early member of the Boston office.

Tech Stack

  • Our current stack uses React.js, Ruby on Rails, Heroku, a variety of Amazon Web Services (AWS) technologies (AWS IoT, Redshift, DynamoDB), Periscope for data-science, and Tensorflow for machine-learning.

What We're Looking For

  • 5+ years industry experience
  • Experience with our tech stack
  • Especially strong knowledge of CS/CE fundamental concepts and OOP languages
  • Experience working with databases (e.g. PostgreSQL, MSSQL, MySQL) and data infrastructure
  • Experience with JavaScript and modern frontend frameworks (React, Vue, Angular, or similar)
  • Experience using Amazon Web Services (AWS) or other cloud computing platforms
  • Understanding of REST API design and implementation
  • Feel comfortable working anywhere in the software stack: frontend, server-side, database, and infrastructure
  • Excited at the thought of working in a dynamic startup environment

Benefits

• A high-impact role in an emerging industry leader

• Competitive compensation and equity

• Employer-sponsored medical, dental and vision insurance

• Open Vacation policy: take time off when you need it

We value people from all walks of life who exhibit kindness, curiosity, discipline, humility, and passion to excel at what they do. If you would like to contribute to our team, we encourage you to apply.

Technology

On the software-side, our current stack uses Rails, React, Heroku, a variety of AWS Services (AWS IoT, Redshift, DynamoDB), Docker (for managing fleets of IoT devices) and Tensorflow for machine-learning.

For the hardware-side piece of our product, we're using ESP MCUs, gateway devices that run Ubuntu Core, Raspberry Pis (for prototyping), and a variety of different sensors (image, PIR, temperature / environmental, etc).

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