Digital Signal Processing (DSP) Engineering Scientist - GNSS

Digital Signal Processing (DSP) Engineering Scientist - GNSSThis 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 include: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.Required qualifications include:Bachelor's degree in engineering, computer or information science, or other applied sciences.Three years of experience in digital signal processing or related fieldStrong foundation in signal processing theoryProficiency in Python or C or C++ for algorithm implementationUnderstanding of real-time processing constraints and optimization techniquesUnderstanding of discrete-time signals and systemsKnowledge of spectral analysis and transformsFamiliarity with common filter designs and implementationsStrong analytical and problem-solving skillsExcellent written and verbal communication skillsAttention 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.Salary Range: $104,000 - $174,000+/negotiable depending on qualificationsWorking Conditions include:Standard office conditionsRepetitive use of a keyboard at a workstationUse of manual dexteritySome weekend, evening and holiday workPossible interstate/intrastate travelRequired Materials include:Resume/CV3 work references with their contact information; at least one reference should be from a supervisorLetter of interestUnofficial College Transcripts