Digital Signal Processing; DSP Engineering Scientist - GNSS

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

• 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.

US Citizen required. Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.

• 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.

• 100% employer‑paid basic medical coverage.
• Retirement contributions.
• Paid vacation and sick time.
• Paid holidays.

$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.

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,…