Staff Software Algorithms Engineer – UWB Radar & Localization

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.   We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.   Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

About the Role 

We are seeking a Staff Software Algorithms Engineer (Grade 9) to lead the design and development of UWB radar and localization algorithms within our Platform Software organization. This role owns a mission‑critical technical domain, combining deep expertise in estimation theory, Bayesian methods, Kalman filtering, and signal processing with hands‑on software implementation. 

As a Staff engineer, you will set technical direction, own system‑level architecture, and solve complex, ambiguous problems that directly impact product performance and robustness. 

 

Responsibilities 

• Own and evolve the UWB radar and localization algorithm architecture 
• Design and implement state estimation and tracking algorithms using Bayesian methods (KF, EKF, UKF, adaptive filters) 
• Develop and optimize UWB radar DSP pipelines, including:  
• CIR processing and first‑path detection 
• Multipath mitigation and clutter rejection 
• Time‑ and frequency‑domain signal processing 
• Range, velocity, and motion estimation 
• Drive localization and navigation algorithms that perform reliably in real‑world RF environments 
• Optimize algorithms for embedded, real‑time software constraints 
• Lead algorithm validation and performance analysis using simulation, recorded data, and in‑vehicle testing 
• Act as a technical mentor and subject‑matter expert for estimation and signal processing 
• Collaborate closely with platform software, firmware, hardware, and systems teams 

 

Required Qualifications 

• MS or PhD in Electrical Engineering, Computer Engineering, Robotics, Applied Mathematics, or related field 
• Deep hands‑on experience in:  
• Estimation theory and Bayesian inference 
• Kalman filtering and nonlinear state estimation 
• Digital signal processing (DSP) 
• Strong experience with UWB and/or radar sensing systems 
• Proven ability to deliver production‑quality algorithms 
• Proficiency in C/C++ and Python 

 

Preferred Qualifications 

• Experience in automotive, robotics, or safety‑critical systems 
• Hands‑on experience with CIR data, radar IQ samples, and range‑Doppler maps