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Signal Processing Jobs in Oregon (NOW HIRING)

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Develop signal-processing and image-analysis algorithms using classical methods as well as modern AI/ML approaches, including neural networks. * Perform system-level analysis, simulation, and ...

Intel

Qubit Control IC Designer

Hillsboro, OR · On-site

Experience with RF/analog/mixed-signal circuit tape-out completed in an advanced process technology and lab testing * Experience with silicon prototyping flow (design, validation, layout, tape-out ...

Procom Services

211854 / Data Analyst

Hillsboro, OR

Signal processing * Data mining * Data warehousing * Performance computing * Big Data * Data extraction and visualization * Business process analysis: process and workflow efficiency * Six Sigma ...

City of Salem, OR

Traffic Engineer

Salem, OR · On-site +1

$93K - $126K/yr

Traffic Signal Review: Assist Development Services in reviewing traffic signal elements during the development process, ensuring compliance with City standards and regulations. * Community Engagement:

Procom Consultants Group

Data Analyst

Hillsboro, OR

Information science Signal processing Data mining Data warehousing Performance computing Big Data Data extraction and visualization Business process analysis: process and workflow efficiency Six ...

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All JobsSignal Processing JobsSignal Processing Jobs in Oregon

Signal Processing information

See Oregon salary details

$56.6K

$138.9K

$204.6K

How much do signal processing jobs pay per year?

As of Jun 20, 2026, the average yearly pay for signal processing in Oregon is $138,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,700.00 and $155,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Signal Processing position, and why are they important?

To thrive in Signal Processing, a strong background in mathematics, digital signal processing algorithms, and relevant engineering or computer science degrees is essential. Familiarity with tools such as MATLAB, Python, LabVIEW, and industry-standard DSP hardware platforms, as well as certifications in signal processing or related fields, is often required. Sharp analytical thinking, attention to detail, and effective teamwork and communication skills are highly valued. These competencies enable professionals to design, analyze, and optimize systems that process real-world signals efficiently and accurately.

What is a Signal Processing job?

A Signal Processing job involves analyzing, modifying, and interpreting signals, such as audio, video, sensor data, or electromagnetic waves, to extract useful information or improve their quality. Professionals in this field apply mathematical and algorithmic techniques to filter noise, compress data, and enhance signal clarity. They work in industries like telecommunications, medical imaging, audio processing, and radar systems. Typical tasks may include designing filters, implementing machine learning models for pattern recognition, and optimizing digital communication systems. Knowledge of programming languages like MATLAB or Python and expertise in digital signal processing (DSP) techniques are often required.

Is DSP difficult?

Signal processing jobs that involve digital signal processing (DSP) typically require a strong understanding of mathematics, algorithms, and programming skills in languages like MATLAB or Python. While challenging, the difficulty depends on the complexity of the projects and the individual's background in engineering or related fields. Gaining proficiency often involves coursework, hands-on experience, and familiarity with tools such as DSP chips or software environments.

What engineers make $500,000?

Senior engineers in specialized fields such as software, aerospace, or electrical engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves bonuses, stock options, or profit sharing, particularly in large tech companies or industries with high demand for technical expertise.

Is ML a high paying job?

Machine learning (ML) roles, including those in signal processing, are generally well-paid due to the high demand for specialized skills such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but advanced positions often offer competitive compensation compared to other engineering fields.

What do you do in signal processing?

In signal processing, a professional analyzes, modifies, and interprets signals such as audio, video, or sensor data to improve quality, extract information, or prepare data for further use. This involves using algorithms, mathematical techniques, and tools like MATLAB or Python to filter noise, enhance signals, and develop systems for communication, imaging, or data analysis.

What are some common career paths for professionals in Signal Processing?

Signal Processing professionals often start as engineers or analysts, working on tasks like algorithm development, filtering, and noise reduction in applications such as telecommunications, audio, or radar systems. With experience, individuals can progress to roles such as senior engineer, project lead, or research scientist, and may branch into areas like embedded systems, machine learning, or systems architecture. The field frequently offers opportunities to collaborate closely with cross-functional teams including hardware engineers, software developers, and data scientists. Advancing your education, obtaining specialized certifications, or gaining expertise in emerging technologies can further enhance your career prospects in this dynamic and evolving discipline.

What are the most commonly searched types of Signal Processing jobs in Oregon? The most popular types of Signal Processing jobs in Oregon are:
What are popular job titles related to Signal Processing jobs in Oregon? For Signal Processing jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Signal Processing jobs in Oregon look for? The top searched job categories for Signal Processing jobs in Oregon are:
What cities in Oregon are hiring for Signal Processing jobs? Cities in Oregon with the most Signal Processing job openings:
Signal Processing jobs near you
Machine Learning Engineer

Machine Learning Engineer

Cellanome

Foster, OR • On-site, Remote

$160K - $215K/yr

Other

Posted 24 days ago

Job description

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and software teams to develop algorithms for data analysis and workflow automation. This role reports to the Sr. Director AI and can be based in our San Diego CA or Foster City CA offices. Possibility for Remote.

Key Responsibilities:

  • Design, develop, and optimize advanced algorithms for workflow automation, which include computer vision and computational geometry components.
  • Develop signal-processing and image-analysis algorithms using classical methods as well as modern AI/ML approaches, including neural networks.
  • Perform system-level analysis, simulation, and validation to ensure algorithm performance meets product requirements.
  • Collaborate with cross-functional hardware, software, and product engineering teams to integrate algorithms into our broader software ecosystem.
  • Optimize algorithms for deployment on edge devices, GPUs, and high-performance computing environments with considerations for latency, throughput, and memory efficiency.
  • Create technical documentation, validation reports, and performance metrics to support product development and cross-team collaboration.

Role Requirements:

  • Typically requires a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related technical field with 5+ years of relevant experience, or a Master's degree with 3+ years of relevant experience.
  • Experience developing, implementing, and validating algorithms for optimization, automation, sensing, data analysis, or image-processing applications.
  • Strong programming skills in Python with experience developing production-quality, maintainable, and well-documented code.
  • Solid understanding of software development fundamentals, including debugging, version control, testing, and code optimization.
  • Familiarity with AI/ML concepts and workflows, including data preprocessing, model training, evaluation, and deployment.
  • Experience with image analysis, computer vision, signal processing, or data-driven algorithm development.
  • Understanding of mathematical foundations relevant to algorithm development, including linear algebra, probability/statistics, optimization methods, and estimation theory.
  • Experience applying algorithmic techniques such as optimization, dynamic programming, numerical methods, or statistical modeling to solve engineering problems.
  • Familiarity with workflow automation, process optimization, or development of efficient data-processing pipelines.
  • Ability to analyze complex technical problems, evaluate tradeoffs, and develop scalable algorithmic solutions.
  • Excellent communication skills and ability to work independently and collaboratively in a multidisciplinary team environment.

Preferred Qualifications:

  • Proficiency in C++, C#, or other high-performance programming languages for algorithm deployment and system integration.
  • Experience developing AI/ML algorithms for image analysis, pattern recognition, anomaly detection, or automated decision systems.
  • Advanced familiarity with modern computer vision and deep learning architectures, including Vision Transformers (ViTs), CNNs, object detection, segmentation, or multimodal AI models.
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar platforms.
  • Experience optimizing algorithms for performance, scalability, memory efficiency, or real-time execution.
  • Familiarity with optimization and estimation techniques such as convex optimization, Kalman filtering, Bayesian estimation, nonlinear optimization, or stochastic methods.

We  provide competitive total compensation packages, including base pay, benefits, and equity. In California, the estimated base salary range for this position is $160,000 - $215,000/year. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

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