Radar Digital Signal Processing Engineer at Photonic… · Newark

Job Title: Radar Digital Signal Processing Engineer

Location: Newark, DE

About Us:

We are a premier provider of devices and components for microwave and millimeter-wave systems, e.g., photonic links and phased array antennas for Tx and Rx. In our product portfolio are high-speed, high-power photodiodes and lithium-niobate modulators with both having bandwidths exceeding 100 GHz. These products are fabricated domestically in owned/operated cleanroom and packaging facilities. We leverage this strong expertise in photonic devices and components to provide unique hardware solutions for commercial and military applications. Among these technologies are optical techniques to spatially and spectrally process radio frequency signals enabling new approaches to radar, communications, and sensing.

Job Summary:

We are seeking a skilled Radar Digital Signal Processing Engineer to join our team. The ideal candidate will be responsible for designing, developing, and optimizing signal processing algorithms for radar systems and implementing them in FPGA firmware. You will work on advanced radar applications and collaborate with cross-functional teams to deliver innovative solutions that meet our customers' needs.

Key Responsibilities:

• Develop and implement digital signal processing algorithms for radar systems, including target detection, tracking, and classification.
• Analyze and simulate radar signal processing techniques to enhance system performance and reliability.
• Collaborate with hardware engineers to optimize signal processing for real-time applications.
• Conduct performance evaluations and testing of signal processing algorithms using simulation tools and real-world data.
• Troubleshoot and resolve issues related to signal processing and algorithm performance.
• Stay updated with the latest advancements in radar technology and signal processing methodologies.
• Document design processes, test procedures, and performance evaluations.
• Contribute to research and development initiatives to innovate and improve radar signal processing techniques.

Qualifications:

• BS/MS/PhD degree in Electrical Engineering, Computer Engineering, or a related field.
• Proven experience (> 2 yrs)) in radar signal processing, including familiarity with radar waveforms and detection techniques.
• Proficiency in programming languages such as MATLAB, Python, C/C++, or similar.
• Strong understanding of digital signal processing concepts, algorithms, and techniques.
• Experience with simulation tools and software for radar signal processing (e.g., MATLAB, Simulink).
• Excellent problem-solving skills and ability to work collaboratively in a team environment.
• Strong communication skills, both verbal and written.
• US Citizen or green card holder.

Preferred Qualifications:

• Experience with machine learning techniques applied to radar signal processing.
• Familiarity with RFSOC FPGA technologies and firmware development.
• Experience with MATLAB/Simulink HDL synthesis tools.
• Experience with multi-static concepts, SAR, and STAP.
• Knowledge of electromagnetic theory and radar system design.
• Current S/TS clearance a plus.

Benefits:

• Competitive salary.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with company match.
• Opportunities for professional development and continuous learning.
• Flexible work environment and work-life balance.

Job Type: Full-time

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Parental leave
• Professional development assistance
• Referral program
• Retirement plan
• Vision insurance

Education:

• Bachelor's (Required)

Experience:

• digital signal processing: 2 years (Required)
• radar: 2 years (Required)

Security clearance:

• Confidential (Preferred)

Ability to Commute:

• Newark, DE 19711 (Required)

Ability to Relocate:

• Newark, DE 19711: Relocate before starting work (Required)

Willingness to travel:

• 25% (Preferred)

Work Location: In person