Senior Software Engineer, Autonomy Platform
Company: Zendar
Location: Berkeley, CA (Remote)
Salary: $160k - $200k per year
Type: Full-time
Remote: Yes
Posted: 2026-07-29
About this role
Have you ever worked somewhere that challenges you every day? A place where you solve meaningful problems, build exciting technology, and work alongside people who genuinely enjoy collaborating?
If you work in the Bay Area, you probably have. What makes Zendar special then?
We don’t really do politics, we don’t have meetings “just for show” or “to make leadership happy”. We are the masters of both prototyping very fast, and at the same time taking more effort or another iteration on a design where needed. And we carefully choose people we work with and it really shows in our team culture - we are a team of driven, smart and humble engineers from all around the world. No toxic corporate clones, please.
Sounds interesting?
Zendar is looking for an experienced Software Engineer with passion for SW design and desire to bring things to life in the real world. If you have years of SW background, your heart beats for good design and you can keep up with the fast pace of a startup, you might like the challenge. Our team is a testament of the ability to unite engineers of different backgrounds over a common vision. We do not shy away from reality and its limitations but we also dream big.
You don’t have to fit in a box. We are not looking for a superhero. But we might be looking for you!
About Zendar:
Zendar builds a radar-centric autonomy stack which makes any vehicle - from cars to robots - autonomous in any environment. With our deep radar DNA, we have architected our solution to put RF sensing at the core of all perception. The result is a system that handles long range, high speeds, and bad weather not as edge cases but as a core strength of the autonomy stack.
Because radars naturally measure both 3D position and velocity for every object in the environment, radar-centric autonomy is extremely compute- and data-efficient. Our autonomous vehicle needs only a few thousand dollars of hardware to make it completely autonomous, making this the cheapest way to b...