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Empowering cities with data to become more responsive and more equitable

JOB DESCRIPTION

OUR MISSION

Make cities more responsive, so they are safer, healthier, and more equitable for the people who live in them.

Numina makes a hardware and software platform that uses computer vision to help urban planners and municipal governments design better (safer) streets and public places. We sense bicycle, pedestrian, and other street traffic, and convert this data into real-time intelligence — without surveillance — to enable all sorts of partners in automation, autonomy, and development in the public right-of-way. We are looking for passionate people who would like to join us as we pursue our shared vision of more responsive cities.

WHAT YOU WILL DO HERE:

As our Embedded Software Engineer, you will lead software and system development for current and future Numina Sensors. You will work closely with our Hardware, Computer Vision, and Backend engineers to help maintain the current Numina sensor system, develop new features and products, and scale our network of globally deployed sensors. You will report to our Engineering Manager. As part of your role, you will:

  • Lead development of the Computer Vision pipeline embedded on Numina Sensors.
  • Write and deploy performant, robust, and reliable code to our network of sensors deployed around the globe.
  • Help run experiments and tune the performance and cost of Numina’s core Computer Vision systems.
  • Develop the architecture, code, processes, and system for the next generation of Numina sensors.

WHO YOU ARE:

You have 4+ years of professional embedded software engineering experience. Like us, you value creativity, curiosity, and intellectual honesty, and you are committed to solving problems with us together as a team. Your desire to have a huge impact motivates you to join a small, incredibly productive team and do extraordinary things. You have the following skills and competencies:

  • Proficiency in Python, C++, or Go
  • IoT or Cellular networks and connected devices or sensors
  • Experience with Linux kernel drivers, userspace drivers or low-level system software development
  • Experience working with cameras, video codecs and processing
  • Experience working with diverse computing hardware like GPUs, ASICs, or other co-processes

Additional experience that could be helpful:

  • Good working knowledge of the core concepts in machine learning, computer vision, and deep learning
  • Passion for walkable, bikeable communities or urban planning experience/background
  • Experience talking to internal or external customers

WHO WE ARE:

We strive to be a team of positive, open-minded, respectful, resilient, dedicated, accountable, logical, creative, and empathetic people. We spend our days building an amazing product that makes a real difference in the world. We are a remote-first, distributed team, with an optional office in Brooklyn, New York. We are committed to seeking and sustaining diverse perspectives on our team. We encourage women, people of color, individuals with disabilities, veterans, and others from underrepresented backgrounds to apply.

We are backed by investors including betaworks, Shasta Ventures, Elemental Excelerator, URBAN-X (MINI BMW), and accomplished entrepreneur-angels. Past projects have been supported by The Clinton Foundation, The Knight Foundation, and the Robert Wood Johnson Foundation. We are a small, mission-driven company that is growing quickly. If you’d like to join our laser-focused and fast-paced team, we enthusiastically invite you to apply.

THINGS TO KNOW:

  • We’re a small team with lots to do, and there’s a good amount of context-switching. We expect people to be autonomous and drive their own work to completion.
  • We’re scrappy and frugal. We’ve built our product at a sustainable pace and have always been pointed toward profitability.
  • As a growing company and startup, work priorities may shift as customer or business requirements change. We strive to empower individuals with context and decision-making power to meet this need.

INTERVIEW PROCESS

Our application process usually goes like this:

  • Intro call. A 30-minute call with someone on our team. We’ll have some questions for you about past teams you’ve worked in and work listed on your resume. There will also be time for you to ask us any questions you have about Numina, this role, or anything else.
  • Take-home assignment. Most of our roles have a take-home assignment. We recommend spending no more than 2 hours on it. 
  • One hour interview. We’ll review our take-home assignment together. We really want to learn what it’s like to work with you and how you think and approach problems.
  • Team interview + culture: A final 1-hour call with the team. The first 30 minutes will be getting to know everyone: where they live, what they like to do outside of work, and their favorite team cat. The second 30 minutes will be a behavioral and culture interview with one member of the team.

DIVERSITY, EQUITY AND INCLUSION

We are a Minority- and Women-owned Business Enterprise and are committed to seeking and sustaining diverse perspectives on our team.  As a company that serves cities, we strive to look like the populations we serve and hold ourselves to a higher standard of inclusion and diverse perspectives than the tech, hardware, and transportation industries may ask for. 

Diversity, Equity, and Inclusion are core tenants of our work at Numina. We practice and advocate against non-discrimination in the workplace and we aim to create a socially responsible supply chain and build relationships with and source from diverse suppliers. 

Numina values diversity of thought and backgrounds, and we strive to make sure the workplace is welcoming, fun, and effective for everyone. Our flexible PTO and home-office allowances are designed to give every team member the support they need to thrive at work. Our employee handbook is a living document that actively seeks, and is updated with, feedback and suggestions. 

We expect all of our team members to uphold our values and be Future-Focused, Human-Centered, Intentional, Accountable, Respectful.

Apply Now
When you apply, please mention that you found the posting on Diversify Tech!


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