Digital Signal Processing (DSP) Engineering Scientist - GNSS

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:

Purpose

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.

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 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.

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 Notes

An 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.

Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

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Employment Eligibility:

Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. ----

Retirement Plan Eligibility:

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. ----

Background Checks:

A criminal history background check will be required for finalist(s) under consideration for this position.

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Equal Opportunity Employer:

The University of Texas at Austin, as an equal opportunity/affirmative action employer , complies with all applicable federal and