Digital Signal Processing (DSP) Engineering Scientist - GNSS

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.

• →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.

• 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.

• 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.

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.

$104,000 - $174,000+/negotiable depending on qualifications

• 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

• Resume/CV

• 3 work references with their contact information; at least one reference should be from a supervisor

• Letter of interest

• Unofficial College Transcripts

----

----

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

----

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

----

The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

----

Employment Eligibility Verification:

If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form.  You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States.  Documents need to be presented no later than the third day of employment.  Failure to do so will result in loss of employment at the university.

The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:

• E-Verify Poster (English and Spanish) [PDF]
• Right to Work Poster (English) [PDF]
• Right to Work Poster (Spanish) [PDF]

Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.

The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.