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 ([email protected]).
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 (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)
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