Digital Signal Processing (DSP) Engineering Scientist - GNSS

University of Texas at Austin•Austin, TX

36d•$104,000 - $174,000•Onsite

About The Position

This position will implement and optimize algorithms which will combine strong mathematical foundations with software engineering skills to create efficient, real-time signal processing solutions, with a primary focus on implementation over algorithm design and development.

Requirements

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
Applicant must be highly organized, have excellent attention to detail, and possess sound scientific judgment.
The position will require effective management of their own time with the ability to plan, coordinate, and execute multiple tasks simultaneously.
Regular and punctual attendance in the workplace is required.
US Citizen.
Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information at the level appropriate to the project requirements of the position.

Nice To Haves

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 (RF) front-end systems
Experience with CPU-based high performance computing clusters for signal processing
Experience with software defined radios/receivers
Eligibility for immediate access to classified information.
Ten or more years experience in digital signal processing
Cumulative GPA of 3.0.

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.
Other related functions as assigned.