GNSS DSP Engineer & Scientist — Onsite Research

University of Texas

Austin (TX)

On-site

USD 104,000 - 174,000

Full time

10 days ago

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Job summary

University of Texas at Austin, Pickle Research Campus, is seeking an GNSS DSP Engineering Scientist to advance GNSS focused digital signal processing in the Space Geophysics Laboratory. The role emphasizes coding, analysis, and hardware/software integration within a collaborative research environment.

The position requires strong Python/C++ skills, real-time processing knowledge, and experience with GNSS signal processing.

Qualifications

  • Bachelor's degree in engineering, computer science, or applied sciences.
  • Three years of experience in digital signal processing or related field.
  • Proficiency in Python or C/C++ for algorithm implementation.
  • Understanding of real-time processing constraints and optimization techniques.
  • Understanding of discrete-time signals and systems.
  • Knowledge of spectral analysis and transforms.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills.

Responsibilities

  • Support GNSS focused DSP work in the Space Geophysics Laboratory.
  • Design, build, test, and document hardware and software components under guidance.
  • Provide technical oversight and mentorship to staff.
  • Participate in project development and requirements evaluation.

Skills

Python
C/C++
Real-time processing
Discrete-time signals
Spectral analysis
Analytical skills
Communication skills

Education

Bachelor's degree in engineering or related field
Master's degree preferred

Tools

Verilog/VHDL
GNSS signal processing tools
Signal processing simulation tools
RF front-end knowledge

Job description

University of Texas at Austin, Pickle Research Campus, is seeking an GNSS DSP Engineering Scientist to advance GNSS focused digital signal processing in the Space Geophysics Laboratory. The role emphasizes coding, analysis, and hardware/software integration within a collaborative research environment.

The position requires strong Python/C++ skills, real-time processing knowledge, and experience with GNSS signal processing.

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