Digital Signal Processing (DSP) Engineer - GNSS
Overview
Lead the design and optimization of real-time GNSS signal processing algorithms at the Pickle Research Campus. This role focuses on translating mathematical models into efficient software implementations while ensuring performance under strict latency and power constraints. The ideal candidate will drive system integration and collaborate across hardware and software teams.
What You'll Do11
- 1Design and develop GNSS signal processing algorithms including acquisition tracking correlation demodulation
- 2Translate mathematical models into efficient software implementations
- 3Optimize algorithms for performance latency memory and power constraints
- 4Implement DSP algorithms in Python C or C++
- 5Develop and maintain reusable signal processing libraries
- 6Perform code reviews and debug signal processing issues
- 7Analyze GNSS signals using simulation models and testing methodologies
- 8Integrate DSP components into larger systems and applications
- 9Collaborate with hardware teams to implement algorithms on target platforms
- 10Document algorithm designs specifications and implementation details
- 11Maintain code in version control adhering to coding standards
Requirements11
- 1Bachelor's degree in engineering computer science or applied sciences
- 2Three years of experience in digital signal processing or related field
- 3Strong foundation in signal processing theory
- 4Proficiency in Python or C or C++ for algorithm implementation
- 5Understanding of real-time processing constraints and optimization techniques
- 6Knowledge of discrete-time signals and systems
- 7Familiarity with spectral analysis and transforms
- 8Experience with filter designs and implementations
- 9Excellent written and verbal communication skills
- 10Highly organized with attention to detail
- 11Ability to manage time effectively and prioritize tasks
Salary Insight
Salary not disclosed in listing
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