About the Company
The Aerospace Corporation is the trusted partner to the nation’s space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC), we are broadly engaged across all aspects of space— delivering innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers. When you join our team, you’ll be part of a special collection of problem solvers, thought leaders, and innovators. Join us and take your place in space.
At the Mission Payloads Division (MPD), we are pioneers in remote sensing systems that guide our country’s space enterprise. Our talented and dynamic people create and flourish in electronics, sensors, radar, artificial intelligence (AI), and advanced data network domains. We boldly advance technology through our research and development and then forward to demonstration and integration. With innovative laboratories and prototyping, MPD delivers groundbreaking results. We guide our Department of Defense, intelligence community, and civil clients to enhance national productivity and security and tackle the most critical missions. Bring your intelligence and creative spirit and join us at MPD!
The Aerospace Corporation's Digital Communications Implementation Department uses software defined radio and FPGA technology to design digital transceivers. Join us on the leading edge of digital communications development.
Job Description:
What You’ll Be Doing
Developing and implementing signal processing algorithms with applications to GPS / GNSS receivers and/or communication transceivers and/or digital signal processing primarily on FPGA hardware
Analysis of signal processing performance using Matlab, Python, or similar simulation environments
Prototyping of cutting-edge real-time systems for emulation and proof of concept
Research pertaining to advanced signal processing, GPS technology and/or re-configurable communication processing
Creating document work products in briefings and/or technical reports to customers and colleagues
Design, build and integrate satcom payloads demonstrating innovative technologies for Aerospace’s AeroCube Program
What You Need to be Successful - Member of Technical Staff
Minimum Requirements:
Bachelor’s from an accredited university in Electrical Engineering, Computer Science, or another related field
Knowledge of digital signal processing, digital communications.
Proficiency with one or more of the following: C/C++, Python, VHDL/Verilog, Matlab
At least 1 year of related professional engineering experience
Experience troubleshooting digital hardware designs in the laboratory
This position requires the eligibility to obtain and maintain a security clearance, which is issued by the U.S. government. U.S. citizenship is required to obtain a clearance
In addition to the above, the minimum requirements for Senior Member of Technical Staff include:
Four or more years of related experience (or pursuit of an advanced degree) in an area of digital signal processing, GNSS positioning, and navigation, alternative navigation techniques
Experience with any of the following: MATLAB, C/C++, Python, VHDL
Work with DSP algorithm design and implementation
Implementation of digital communication and/or DSP algorithms in hardware using FPGAs and/or ASICs
Proficiency in Verilog or VHDL, logic implementation, and simulation tools for complex FPGA designs
Detailed understanding of FPGA RTL design, hardware architecture, testbench design, synthesis, static timing analysis, timing closure, and clock domain crossing
How You Can Stand Out
It would be impressive if you have one or more of these:
Masters from an accredited university in Electrical Engineering, Computer Science, or another related field
Solid laboratory experience troubleshooting digital hardware designs using logic analyzers / Chipscope / other measurement devices.
Work with GNURadio, USRPs, and the RFNoC framework
Programming of GPUs, hardware acceleration, process parallelization
Background with RF lab equipment (spectrum analyzers, network analyzers, oscilloscopes)
Linux, Real-Time operating systems, and DevOps tools (Jira, Git, Jenkins…)
Machine Learning experience
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