DSP Engineer

Vadum, Inc. is seeking a highly motivated DSP Engineer with a strong background in FPGA development and digital signal processing (DSP), as well as experience with analog, digital, and RF systems.

In this role, you will play a key part in the architecture, design, and development of complex RF sensors, radar systems, measurement equipment, and electromechanical products.

The ideal candidate is a collaborative problem solver with strong technical expertise, creativity, and initiative.

This position requires exceptional analytical and organizational skills, along with the ability to communicate effectively and build productive relationships with internal teams, customers, and external partners.

Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.

• Use multiple programming languages (MATLAB, Python, C/C++, etc.) to prototype and implement various DSP algorithms.
• Independently develop signal processing chains starting with selection of ADC and/or DAC and ending with desired information products save to or read from disk.
• Assist with part selection related to front-end noise figure, ADC/DAC dynamic range, bit-depth, sampling rate, and downstream processor/memory resource utilization.
• Participate in all phases of development life cycle (requirements, block diagrams, integration, evaluation, and test activities).
• Work in a matrixed team environment to define, lead, and design end-to-end solutions for advanced R&D projects.
• Assist in generating technical proposals and estimates in support of applied research.
• Coordinate aspects of the project to meet technical, schedule, and cost goals.
• Interact with customers, development partners, and vendors.
• MS, 10+ yrs related experience.
• Government security clearance or the ability to obtain and maintain clearance.
• Superior technical knowledge in a relevant engineering discipline.
• Track record for putting systems/products into fielded use.
• Academic background in digital communication, signal processing, information theory, probability/statistics, estimation/detection, pattern recognition, optimization, image processing, and machine vision.