Enable highly efficient urban mobility by digitizing and distributing parking inventory dynamically, for a connected, shared, and autonomous driving future.

Founded 2015
1-15 employees
  • Information Systems
  • Headquarters address
    251 Rhode Island St., Suite 203, San Francisco, CA 94103

    Smarking is a fast growing tech company with hyper-driven MIT PhDs, engineers, data scientists, transportation experts, and seasoned business professionals who are working hard to solve the notorious parking problem via a unique angle. By providing the very first enterprise data analytics software (SaaS) to the parking industry, Smarking is establishing itself as the leader in an emerging market of $10 Billion in the US and $40 Billion globally.

    Smarking aims to enable highly efficient urban mobility by digitizing parking spaces worldwide and distributing parking inventory dynamically, in order to get the world ready for a connected, shared, and autonomous driving future. Backed by a group of top tier VC firms/investors including Y Combinator, Khosla Ventures, and Slow Ventures, Smarking offers rapid growth career opportunities to top achievers who are hungry for hard problems and real impact.

    Why join us?

    • We are changing the landscape of urban mobility by building the data infrastructure for the last missing piece — parking. We have built the largest real time parking availability data platform in the US with thousands of locations for cities (e.g., Miami, Santa Monica), airports (e.g., Boston, San Diego), universities (e.g., MIT), hospitals, parking operators, and garage owners. For the first time, cities and parking operators can make informed decisions for planning, operations, and pricing in real-time with the help of our products.

    • We've got some of the best people in both technology and business domains: MIT PhDs and data scientists, smart and driven software engineers, experienced transportation/urban mobility experts, seasoned business professionals who have scaled companies from a few million dollars of annual revenue to tens of millions.

    • We are backed by some of the top VCs and angel investors in the valley, including Y Combinator, Khosla Ventures (Keith Rabois), Slow Ventures (Sam Lessin and Will Quist), as well as Greg Brockman (former CTO of Stripe, Co-founder of Open AI).

    Working at Smarking

    Smarking is a group of passionate and driven overachievers seeking to rapidly grow through the journey of making the world a better place by solving the hardest problems.

    We are hungry to make an impact; we value learning for constant growth and excellence in communication and collaboration; and we share a strong sense of responsibility. We value our people and believe if we take care of our people first, the business success will take care of itself. We work hard, and we play harder.

    Our core values are: hunger, growth, collaboration, and responsibility.

    Engineering at Smarking

    A day in the life of Smarking engineers:

    • Write intuitive and reusable code using test-driven development.
    • Push code through automated deployment pipelines and happily see them take effect in production.
    • Learn best practices and new technologies. Introduce them to the team.
    • Collaborate across engineering, product, and business teams to design, build, and test new features.
    • Work with data scientists to productize machine learning algorithms.
    • Review code and help fellow engineers grow and improve.

    Technical challenges:

    • Efficiently handle large amount of data and render beautiful, complex, and highly interactive charts.
    • Build and monitor a large number of distributed data pipelines with unreliable connections.
    • Implement and scale complicated data analytics and machine learning algorithms.

    Projects you might work on:

    • Build robust and high-quality vendor integration code and data pipelines.
    • Scale backend systems to handle rapidly growing data streams.
    • Implement and scale complicated machine learning algorithms.
    • Speed up CI/CD pipelines.
    • Evolve frontend codebase to efficiently render complex and highly interactive charts.
    • Architect highly customizable and user-dependent features.
    • Continuously optimize frontend performance.

    Tech stack

    AWS, Bash, Docker, ElasticSearch, ES6, Flask, Git, NGINX, PostgreSQL, Python, React, Redis, Redux


    Compensation and retirement

    401k plan

    Health and wellness

    Insurance (Health)
    Insurance (Dental)
    Insurance (Vision)

    Values and quality of life

    Catered meals
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