Principal Software Engineer
Keywords: C/C++, Python, Open Source, Software Radio
Type: Full-Time (W2) On-Site
ABOUT THE POSITION
DeepSig Inc. is looking for a full-time Principal Software Engineer to join our team in Arlington, Virginia for an immediate opening. The individual selected for this position will possess strong leadership abilities applied in both the creation of DeepSig’s software products and in the mentorship of DeepSig’s more junior engineers. DeepSig’s software products are principally written with C/C++ and Python using common Linux-based open-source tools & workflows. Our products commonly interface with software-defined radio hardware and are built around our machine learning algorithms.
Candidates should be able to communicate clearly, both internal and external to the company, be self-driven, and know when to ask for help! We hire engineers that empathize with the users of their code, develop good relationships with customers, and love to learn.
Travel expectations are light, mostly consisting of conferences and occasional customer visits. Candidates must be authorized to work in the United States by US citizenship or permanent residency. This position is located on-site with our engineering team in Arlington, Virginia. We are not currently able to sponsor visa applications or support remote hires.
WORKING AT DEEPSIG
DeepSig is growing its technical team while cultivating a collaborative, agile, and fun small-team culture. We value creativity, knowledge sharing, and employee growth, and we encourage participation in scientific publications, conferences, and open-source software. We strive to offer competitive salaries, compelling benefits (including health, dental, retirement, and equity), a welcoming environment, a flexible schedule, and a great work / life balance.
DeepSig is a venture-backed startup focused on wireless communications and machine learning. We are creating software products and algorithms for the commercial telecommunications market that enable the first generation of true machine learning-based communications and sensing systems.
HOW TO APPLY
Send an e-mail to email@example.com with your résumé / CV. Cover letters are encouraged, but not required. You may also use this e-mail address for questions about the position.