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Swift Navigation — Multiple Positions — Full Time — San Francisco — Onsite

Swift Navigation (http://swiftnav.com) is building next-generation GPS technology for universal high-accuracy positioning for machine automation and data collection across a wide variety of industries and applications in autonomous transportation, robotics, and unmanned aerial vehicles. Our ~50 person group in SOMA is venture-backed and we have an exciting slate of customers!

Our work is very interdisciplinary and all roles require strong problem-solving, communication, and collaboration skills. See full descriptions and apply at https://jobs.lever.co/swift-nav

- Estimation / GNSS Engineer — Algorithm design, mathematical software development, and system integration for our next-generation receivers through a full feature development pipeline. (C, C++, Python, statistics, linear algebra, estimation theory / kalman filtering / optimization)

- Software Engineer, Internal Infrastructure — Collaborate with hardware and firmware teams to create software infrastructure and tools for prototyping, testing, validating, and benchmarking algorithms on our current and next-generation receivers. (functional and imperative programming - language-agnostic, but Python experience preferred, AWS)

- Network Product Manager — PM experience focused on developing geospatial/satellite navigation software products, and sensor network infrastructure. Track record of successful product delivery from inception through launch. BA/BS or higher in a relevant technical field and preferably experience in geodesy, geospatial mapping, or distributed sensor networks.


Swift Navigation — Multiple Positions — Full Time — San Francisco — Onsite

Swift Navigation (https://swiftnav.com) is building next-generation GPS technology for universal high-accuracy positioning for machine automation and data collection across a wide variety of industries and applications in autonomous transportation, robotics, and unmanned aerial vehicles. Our ~50 person group in SOMA is venture-backed and we have an exciting slate of customers!

Our work is very interdisciplinary and all roles require strong problem-solving, communication, and collaboration skills. See full descriptions and apply at https://jobs.lever.co/swift-nav

- Estimation / GNSS Engineer — Algorithm design, mathematical software development, and system integration for our next-generation receivers through a full feature development pipeline. (C, C++, Python, statistics, linear algebra, estimation theory / kalman filtering / optimization)

- Software Engineer, Internal Infrastructure — Collaborate with hardware and firmware teams to create software infrastructure and tools for prototyping, testing, validating, and benchmarking algorithms on our current and next-generation receivers. (functional and imperative programming - language-agnostic, but Python experience preferred, AWS)

- Network Product Manager — PM experience focused on developing geospatial/satellite navigation software products, and sensor network infrastructure. Track record of successful product delivery from inception through launch. BA/BS or higher in a relevant technical field and preferably experience in geodesy, geospatial mapping, or distributed sensor networks.


The SSL certificate on your site is invalid - thought you might like to know.


Thanks for pointing that out. I put an https link out of habit. We're fixing it!


Swift Navigation — Software Engineer — Full Time — San Francisco — Onsite

Swift Navigation (http://swiftnav.com) is looking for a backend/generalist software engineer to work with us on inch-accurate GPS receivers by contributing to our internal test infrastructure and tools. You will work with a small team to push the state of the art in satellite navigation technology, making high-accuracy positioning ubiquitous and easy to use across a wide variety of and applications in unmanned aerial vehicles, robotics, and autonomous transportation.

Candidates should have experience with software engineering in a production environment, Python for data analysis (Numpy/SciPy/Pandas) and scripting, AWS, and experience or interest in working with hardware.

Please apply at https://jobs.lever.co/swift-nav/faeeedb6-fcd0-46af-b5ba-f136...

Email Margaret (margaret@swiftnav.com) if you have any questions. Please do not send email if you are just submitting an application. Apply at via the lever.co link above.

Satellite navigation is a rich problem space! Our ~50 person group in the SOMA neighborhood of San Francisco is spread across analog/RF/digital hardware design, statistic/estimation/controls, functional programming, and web infrastructure. Our work is highly interdisciplinary with an environment emphasizing effective communication, collaboration, openness (http://github.com/swift-nav) and inclusion with a flexible working policy.


  Swift Navigation — Software Engineer — Full Time — San Francisco

  Swift Navigation (http://swiftnav.com) is looking for a backend/generalist 
  software engineer to work with us on inch-accurate GPS receivers by
  contributing to our internal test infrastructure and tools. You will work with
  a small team to push the state of the art in satellite navigation technology,
  making high positioning ubiquitous and easy to use across a wide variety
  of and applications in unmanned aerial vehicles, robotics, and autonomous 
  transportation.

  Candidates should have experience with software engineering in a production 
  environment, Python for data analysis (Numpy/SciPy/Pandas) and scripting, 
  AWS, and experience or interest in working in hardware.

  Apply at https://jobs.lever.co/swift-nav/faeeedb6-fcd0-46af-b5ba-f1368d8f438f

  Questions? Email Margaret (margaret@swiftnav.com).

  Satellite navigation is a rich problem space! Our ~50 person group in 
  the SOMA neighborhood of San Francisco is spread across analog/RF/digital 
  hardware design, statistic/estimation/controls, functional programming, and 
  web infrastructure. Our work is highly interdisciplinary with an environment 
  emphasizing effective communication, collaboration, openness 
  (http://github.com/swift-nav) and inclusion with a flexible working policy.


Here's a paper from last summer on how Pixar is doing the computations for global illumination more efficiently with a "multiresolution radiosity caching method." http://graphics.pixar.com/library/RadiosityCaching/paper.pdf

I don't know much about graphics but maybe some of you will find it illuminating (no pun intended....)


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