Wireless Algorithms Engineer, Tarana Wireless

• We are looking for engineers we can grow into this role
• You do not need wireless experience
• What matters is that you learn quickly, think deeply, and are excited by problems where the answer is not already known
• Bachelor's or Master's Degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field
• Strong fundamentals in algorithms, data structures, and the mathematics underneath them: probability, linear algebra, and enough comfort with proofs to reason about why something works
• You can already program well. C++ or C preferred, but if you are strong in another language and have written performance-sensitive code, we will take that seriously
• Evidence that you build things because you want to, not because they were assigned. A project you took further than the class required, something you wrote to solve your own problem, a system you built and kept improving
• The ability to explain your reasoning clearly, including the parts you are unsure about

Desirable

• At Tarana, we're more than just a fast-growing tech company—we’re a team of bold innovators on a mission to revolutionize broadband
• Our groundbreaking Fixed Wireless Access technology is delivering fiber-class internet speeds worldwide, bridging the digital divide in ways previously thought impossible
• You will be working on the MAC scheduler, the software that decides, thousands of times per second, how spectrum and antenna resources are allocated among users on a sector
• It is a hard problem, and it's still evolving
• You will work with engineers designing the algorithms running in our product today
• You will start by fixing real bugs in production code, which is the fastest way to learn a system of this scale, and you will own a sub-component
• Later, we expect you to propose algorithmic changes that directly affect the performance of our deployed network
• This is an opportunity to go from learning an unfamiliar system to shaping the algorithms at its core
• Learn wireless from the ground up: how signals propagate, why interference happens, what a scheduler is actually optimizing
• Read a lot of code written by people who thought hard about it, and get your own code reviewed by them
• Debug problems on real hardware, where the answer is often not in the software
• Work with field telemetry from a live network and learn to find signal in it
• Build simulations to test whether an idea works before anyone commits to building it