Radar Signal Processing Engineer
At Ghost, our mission is to make self-driving for everyone. We build autonomous driving software for automakers, based on a breakthrough in artificial intelligence that finally makes highway autonomy safe and scalable for the consumer car market.
Ghost helps automakers reimagine the car of the future with a complete autonomy solution that can be fully customized and continuously upgraded, delivering a car that keeps getting better year after year.
At Ghost, we are responsible for both invention and productization – not only solving complex problems with novel technology but making sure that it can scale to millions of drivers on the road. It’s a bold undertaking, but one that makes for constant learning, real-world impact, and fulfilling work. Together, we are a small, multi-disciplinary team tackling one of the hardest challenges in technology today.
Ghost was founded in 2017 by John Hayes and Volkmar Uhlig. Before Ghost, John co-founded Pure Storage, taking the company public in 2015.
Ghost has over a hundred employees across its headquarters in Mountain View and additional offices in Dallas, Detroit, and Sydney. Ghost has raised over $200 million from investors including Mike Speiser at Sutter Hill Ventures, Keith Rabois at Founders Fund, and Vinod Khosla at Khosla Ventures.
Learn more at https://ghostautonomy.com.
Radars, alongside cameras, comprise Ghost’s sensor suite built for scale and AI. The Radar Signal Processing Engineer will be responsible for algorithm development and performance assessments of our radar sensors, foundational building blocks enabling self-driving.
What you will do:
- Define what it means for a radar to be performant, including defining the test conditions and data needed for automated assessments
- Execute algorithm and/or calibration upgrades to improve performance when individual radars don’t meet requirements or new operational domains are added
- Manage and analyze large volumes of data from different sources, automating where possible using cloud computing and databases
- Liaise with internal customers including the radar team lead and drive program obstacle pipeline lead
- 5+ years of relevant professional experience
- Advanced understanding of radar phenomenology, radar signal processing techniques, and radar calibration
- Experience calibrating radars employing “stretch” processing
- Expertise developing, calibrating, and verifying performance of adaptive algorithms in radar applications with contested spectrum, including but not limited to adaptive processing, beamforming, and DOA (direction of arrival) estimation
- Understanding of relational databases
- Proficiency in Python
Nice to haves:
- Familiarity with the PostgreSQL Database syntax
- Experience with automotive (W-band) radar
- Basic understanding of Scala
- Medical, Vision and Dental coverage (PPO, EPO, and HDHP options available; 100% premium coverage of several medical plans for employees)
- 401(k) plan
- Life Insurance
Compensation for this role consists of a base salary and an options grant, with the base salary expected to range from $175,000 to $250,000+. Individual compensation will be commensurate with the candidate’s experience.
Ghost is committed to equal employment opportunity. We will not discriminate against employees or applicants for employment on any legally‑recognized basis [“protected class”] including, but not limited to: veteran status, uniform service member status, race, color, religion, sex, national origin, age, physical or mental disability or any other protected class under federal, state or local law.