Radar Imaging Engineer
Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Apr 8, 2026. Cover AI scores B on the Alion truth index.
Cover is an AI security company developing concealed weapon detection systems. Cover's imaging technology scans students for concealed weapons in K-12 schools in the United States. Our goal is to deter school shootings by identifying concealed weapons inside of bags and underneath clothing. Our office for this hire is in San Jose, CA and requires 5 days per week in-office work.
We are looking for a highly skilled and motivated engineer to develop and optimize radar imaging algorithms for Cover's concealed weapon detection system. The candidate will join a strong team of engineers working across radar signal processing, real-time GPU computing, and system performance analysis to deliver a deployable commercial product.
The candidate will own the core image formation pipeline - developing 3D radar imaging algorithms, pushing them to real-time performance on GPU hardware, and building the tools needed to analyze and validate system performance. The position is expected to last for two years with high potential for growth and follow-on employment at the company.
Responsibilities:
- Development of 3D radar image formation algorithms
- Optimization of algorithms for real-time performance on GPUs
- Development of image performance analysis and diagnostic tools
- Radar data analysis
- Radar system performance analysis
- Attend and present results and progress at bi-weekly meetings
- Be present in the laboratory on a daily basis
Requirements:
- College degree required. Master's or PhD in Electrical Engineering, Physics, or related field acceptable, with compensation in accord with experience and degree level
- Experience with imaging algorithm development for MIMO and SAR radar systems
- Experience with development of GPU-optimized processing code
- Strong grasp of radar fundamentals, especially for wideband FMCW systems
- Strong software development skills
- Fluency in Python and C with CUDA
- Willingness and propensity to learn new skills and take on tasks outside the core job description
- Ability to work collaboratively on a multidisciplinary team of hardware and software engineers
- Motivated and invested in the success of the project
- Due to technology export restrictions, applicant must be a US Person (citizen or legal permanent resident)
The US base salary range for this full-time position is between $150,000 - $350,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.