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University of Texas at Austin

Public research university in Austin, TX

Digital Signal Processing Engineering Scientist - GNSS

Electrical EngineeringConfirmed live in the last 24 hours
Full-timeAustin, TX, USA$104k - $174k

About the Job

Requirements

  • A bachelor's degree in engineering, computer or information science, or other applied sciences is required.
  • Three years of experience in digital signal processing or a related field is required.
  • A strong foundation in signal processing theory is required.
  • Proficiency in Python, C, or C++ for algorithm implementation is required.
  • Understanding of real-time processing constraints and optimization techniques is required.
  • Understanding of discrete-time signals and systems is required.
  • Knowledge of spectral analysis and transforms is required.
  • Familiarity with common filter designs and implementations is required.
  • Applicants must be U.S. citizens.
  • Applicants must meet eligibility requirements for access to classified information at the level appropriate to project requirements.
  • Applicants must be highly organized, demonstrate attention to detail, and possess sound scientific judgment.
  • Applicants must manage their own time effectively and plan, coordinate, and execute multiple tasks simultaneously.
  • Regular and punctual attendance in the workplace is required.

Responsibilities

  • Design and develop GNSS signal-processing algorithms, including acquisition, tracking, correlation, and demodulation.
  • Translate mathematical models and specifications into efficient software implementations.
  • Optimize algorithms for performance, latency, memory, and power constraints.
  • Prototype and validate algorithms through simulation and testing.
  • Implement DSP algorithms in Python, C, C++, or other appropriate languages.
  • Optimize code for real-time performance on target platforms.
  • Develop and maintain reusable signal-processing libraries and components.
  • Perform code reviews and ensure implementation quality.
  • Debug and resolve signal-processing issues.
  • Analyze GNSS signals in various domains.
  • Develop simulation models and other testing methodologies to validate algorithms.
  • Characterize system performance under various operating conditions.
  • Investigate and resolve signal-processing anomalies.
  • Integrate DSP components into larger systems and applications.
  • Work with hardware teams to implement algorithms on target platforms.
  • Define interfaces and APIs for signal-processing modules.
  • Collaborate with firmware, software, and hardware teams on system architecture.
  • Document algorithm designs, specifications, and implementation details.
  • Create and maintain technical specifications.
  • Maintain code in version control.
  • Adhere to coding standards and best practices.
  • Perform other related functions as assigned.

Desired Qualifications

  • Experience with GNSS signal processing.
  • Experience with signal-processing simulation tools.
  • Experience with embedded processors, GPUs, or FPGAs for signal processing.
  • Familiarity with receiver architectures for satellite navigation.
  • Knowledge of carrier-phase tracking and positioning algorithms.
  • Experience with hardware description languages such as Verilog or VHDL.
  • Familiarity with radio frequency front-end systems.
  • Experience with CPU-based high-performance computing clusters for signal processing.
  • Experience with software-defined radios or receivers.
  • Eligibility for immediate access to classified information.
  • Ten or more years of experience in digital signal processing.
  • Cumulative GPA of 3.0.

About the Company

University of Texas at Austin

Public research university in Austin, TX

University of Texas at Austin is a public research university in Austin, Texas. It offers undergraduate, graduate, and professional education across a broad range of fields.

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