GNSS DSP Engineer & Real-Time Algorithm Innovator

Phase2 Technology; Austin (TX); On-site; USD 104,000 - 174,000; Full time

Job summary

The University of Texas at Austin is seeking a DSP Engineering Scientist in GNSS to design and optimize GNSS signal processing algorithms, implement in Python/C/C++, and validate through simulation. You will prototype, test, and refine acquisition, tracking, and demodulation methods within a collaborative research environment on campus.

Responsibilities include translating mathematical models to efficient code, developing reusable libraries, and working with hardware teams to integrate DSP

Qualifications

• Bachelor's degree in engineering, computer or information science, or other applied sciences.
• Three years of experience in digital signal processing or related field.
• Strong foundation in signal processing theory.
• Proficiency in Python or C or 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.
• Familiarity with common filter designs and implementations.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Attention to detail and commitment to quality.

Responsibilities

• Algorithm Design & Development: Design and develop GNSS signal processing algorithms including acquisition, tracking, correlation, and demodulation.
• Translate mathematical models and specifications into efficient software implementations.
• Prototype and validate algorithms through simulation and testing.
• Implementation & Optimization: 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.
• Signal Analysis & Modeling: 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.
• System Integration & Collaboration: 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.
• Documentation & Best Practices: Document algorithm designs, specifications, and implementation details.
• Create and maintain technical specifications.
• Maintain code in version control.
• Adhere to coding standards and best practices.

Job description

The University of Texas at Austin is seeking a DSP Engineering Scientist in GNSS to design and optimize GNSS signal processing algorithms, implement in Python/C/C++, and validate through simulation. You will prototype, test, and refine acquisition, tracking, and demodulation methods within a collaborative research environment on campus.

Responsibilities include translating mathematical models to efficient code, developing reusable libraries, and working with hardware teams to integrate DSP