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Signal Processing Engineer at Ralliant

Beaverton, Oregon, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Signal Processing, Machine Learning, AI Techniques, System Performance Analysis, Parallel Computing, Mathematical Modeling, Programming, Python, MATLAB, C/C++, Problem-Solving, Analytical Skills, Communication Skills, Collaborative Mindset, Fourier Analysis, Filtering Techniques

Industry

Electrical Equipment Manufacturing

Description

Design and implement signal processing algorithms for various applications. Apply machine learning and AI techniques to enhance test and measurement systems. Analyze system performance and optimize for accuracy, efficiency, and robustness. Leverage parallel computing techniques to accelerate algorithm development and deployment. Collaborate with cross-functional teams to integrate signal processing solutions into larger systems. Conduct research and stay current with advancements in signal theory, mathematical modeling, and AI. Document designs, experiments, and results clearly and effectively. Strong theoretical understanding of signal and system theory, including linear systems, Fourier analysis, and filtering techniques. Solid background in mathematical analysis, including calculus, linear algebra, and probability theory. Experience with machine learning and AI, particularly in the context of test and measurement applications. Knowledge of parallel computing concepts and tools (e.g., multithreading, GPU programming, distributed computing). Proficiency in programming languages such as Python, MATLAB, or C/C++. Ability to work independently and collaboratively in a fast-paced environment. Excellent problem-solving and analytical skills. Advanced degree (MS or PhD) in Electrical Engineering, Applied Mathematics, Computer Science, or a related field. Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and parallel computing platforms (e.g., CUDA, OpenMP). Strong communication skills and a collaborative mindset.

Responsibilities

Design and implement signal processing algorithms for various applications while applying machine learning and AI techniques to enhance test and measurement systems. Collaborate with cross-functional teams to integrate signal processing solutions into larger systems and conduct research to stay current with advancements in the field.