Developers want to upgrade from location-based services to movement-based services. HyperTrack is accelerating that move. The stack for movement looks quite different from that of location. Mobile OS and sensors provide location, activity and health data. Keeping pace with new devices and systems is hard. Striking the right balance between accuracy, battery efficiency and real-timeness is hard. Packaging the movement data into the right abstractions to integrate into the application is hard. Taming the expensive and complex world of maps to consume this data is hard. We solve these problems so developers can focus on what is core to their business.



We do what we do to make our customers happy


We believe that quality begets speed and speed begets quality


We value trust with our team, community, and customers


We celebrate differences that help and resolve differences that hurt


Accuracy Engineering Lead



  • Design and implement algorithms that leverage the best of what the device and server have to offer
  • Design and implement heuristics with device location and sensor data to improve the accuracy of location and activity
  • Improve ETA accuracy by profiling data from past trips (activity segments, places, routes, vehicle type, users, use cases, etc.)
  • Use open map data and tracking history to improve the accuracy of map matching (snap-to-place and snap-to-road)
  • Invent useful enrichments that provide real-time location context that applications can use to improve workforce productivity and efficiency
  • Reduce battery drain by implementing strategies that dynamically change tracking configurations without compromising tracking accuracy
  • Measure and continuously improve the accuracy of actual driving miles and visit durations


  • 5+ years of relevant experience in data-driven algorithm design in production
  • BS/MS in CS, EE, Math or Physics from top tier engineering schools/universities
  • First principles problem solver and fast learner
  • Lateral and abstract thinker
  • Comfort with mathematical models, statistical inference and complex data sets
  • Appreciation of time-series data streams and real-time systems
  • Can write code in one or more general purpose programming languages
  • Team player and able to lead small teams to achieve project goals


  • Production experience with data science and machine learning
  • Prior experience with location, maps and sensor data
  • Prior experience with satellite position, kinematics, voice/image recognition

Software Engineer – Full stack


This role is responsible for design, development, and support of HyperTrack products and its features. Candidates for this role must be able to work from HyperTrack San Francisco HQ.


  • Design, implement, and support scalable and functionally resilient public REST APIs
  • Create compelling user facing applications and features on top of HyperTrack movement data processing platform
  • Support and help cultivate product mindset culture, by working directly with - HyperTrack customers and product management to understand customer needs, perform customer requirement analysis, and collaborate on roadmap planning and its execution
  • Advocate for best practice development methodologies across the entire team and help iterate on software development processes and standards
  • Contribute to the development of test automation
  • Demonstrate flexibility and leadership in a fast paced startup environment while remaining focused on the responsibility of creating sustainable and scalable platform code base


  • Experience designing, developing, delivering, and scaling modern web applications
  • Strong experience with one or more general purpose programming languages including but not limited to: Python, Java, C/C++, C#
  • Demonstrated expertise working with at least one modern Front-End framework such as React, Angular, or Vue
  • Expert knowledge of best practice software engineering methodologies and coding standards
  • Experience with SQL (mySQL, Postgres, etc) and NoSQL (DynamoDB or Redis)
  • Production experience in running cloud based enterprise-grade systems at scale
  • Natural ability to process requirements, figure out multiple execution options, their complexity, and estimate the scope of work required to get tasks done
  • BS in Computer Science or a related technical field, or equivalent experience
  • Finally, and most importantly, drive, energy, and motivation to succeed with delivering great customer experiences


  • MS or higher degree
  • Understanding and experience in serverless managed cloud services
  • Experience with Python frameworks such as Flask and Django
  • Building GraphQL enabled web UI features
  • Significant startup experience