Digital Signal Processing (DSP) Engineering Scientist - GNSS

University of Texas; Austin (TX); On-site; USD 104,000 - 174,000; Full time

Benefits offered by this job

Employer-paid medical coverage

Paid vacation and holidays

Retirement contributions

Job summary

University of Texas at Pickle Research Campus seeks a Digital Signal Processing (DSP) Engineering Scientist focused on GNSS. The role emphasizes implementing and optimizing GNSS signal processing algorithms, with a strong software engineering component for real-time performance.

You will translate mathematical models into efficient software, prototype and test algorithms, and collaborate with hardware teams to integrate DSP components on target platforms.

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 sound scientific judgment.
• US Citizenship and eligibility for security investigations.

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.

Skills

Signal processing theory

Python

C

C++

Real-time processing

Analytical thinking

Communication skills

Education

Bachelor's degree in engineering or related

Tools

Verilog

VHDL

GPUs/FPGA

Job description

## Digital Signal Processing (DSP) Engineering Scientist - GNSSApplylocations: PICKLE RESEARCH CAMPUStime type: Full timeposted on: Posted Todayjob requisition id: R\_00047086**Job Posting Title:**Digital Signal Processing (DSP) Engineering Scientist - GNSS**----****Hiring Department:**Applied Research Laboratories**----****Position Open To:**All Applicants**----****Weekly Scheduled Hours:**40**----****FLSA Status:**Exempt from FLSA**----****Earliest Start Date:**Immediately**----****Position Duration:**Expected to Continue**----****Location:**PICKLE RESEARCH CAMPUS**----****Job Details:**## PurposeThis 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.## 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. Optimize algorithms for performance, latency, memory, and power constraints. 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.* Other related functions as assigned.## Required 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 qualityApplicant 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.## Preferred 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 (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.## General NotesAn agency designated by the federal government handles the investigation as to the requirement for eligibility for access to classified information. Factors considered during this investigation include but are not limited to allegiance to the United States, foreign influence, foreign preference, criminal conduct, security violations, drug involvement, the likelihood of continuation of such conduct, etc.Please mark "yes" on the application question that asks if additional materials are required. Failure to attach all additional materials listed below may result in a delay in application processing.Visit our website (www.arlut.utexas.edu) for additional information about Applied Research Laboratories.UT Austin offers a competitive benefits package that includes: · 100% employer-paid basic medical coverage · Retirement contributions · Paid vacation and sick time · Paid holidays Please visit our Human Resources (HR) website to learn more about the total benefits offered.## Salary Range$104,000 - $174,000+/negotiable depending on qualifications## Working Conditions* Standard office conditions* Repetitive use of a keyboard at a workstation* Use of manual dexterity* Some weekend, evening and holiday work* Possible interstate/intrastate travel## ## Required Materials* Resume/CV* 3 work references with their contact information; at least one reference should be from a supervisor* Letter of interest* Unofficial College Transcripts**Important** **for applicants who are NOT current university employees or contingent workers:** You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.