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Phd Signal Processing Jobs in Orem, UT (NOW HIRING)

Data Scientist

Riverton, UT · On-site

$140 - $210/hr

... processes while ensuring adherence to best practices in data science. Highest-signal resume ... PhD Degree Preferred Industry Keywords * Data Science Best Practices * Data-driven Culture

New

Phd Signal Processing information

See Orem, UT salary details

$46.5K

$114.2K

$168.2K

How much do phd signal processing jobs pay per year?

As of Aug 23, 2026, the average yearly pay for phd signal processing in Orem, UT is $114,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,300.00 and $128,200.00 per year, depending on experience, location, and employer.

What is a PhD signal processing professional?

PhD Signal Processing professionals are experts who have earned a Doctor of Philosophy (PhD) in the field of signal processing, which involves analyzing, modifying, and interpreting signals such as sound, images, and scientific measurements. They apply advanced mathematical and computational techniques to extract meaningful information from complex data. These specialists often work in research, academia, telecommunications, medical imaging, audio engineering, and other industries that require sophisticated data analysis. Their work is crucial in developing technologies like speech recognition, radar systems, and biomedical devices.

What are the key skills and qualifications needed to thrive as a PhD signal processing specialist?

To thrive as a PhD Signal Processing specialist, you need deep expertise in mathematics, statistical analysis, and advanced signal processing algorithms, underpinned by a doctoral degree in electrical engineering or a related field. Proficiency in MATLAB, Python, C++, and experience with simulation tools and machine learning frameworks are commonly required, along with publications or research experience. Strong analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are vital for designing innovative solutions, advancing research, and conveying complex findings to both technical and non-technical stakeholders.

What are some common challenges faced by professionals in PhD-level signal processing roles and how can they be addressed?

PhD-level Signal Processing professionals often encounter challenges such as managing large, complex datasets and developing novel algorithms that balance accuracy and computational efficiency. Staying current with rapidly evolving technologies and research can also be demanding. These challenges are typically addressed through ongoing professional development, collaboration with multidisciplinary teams, and leveraging advanced computational tools. Regularly participating in conferences, workshops, and peer discussions can also help professionals overcome research hurdles and stay innovative in their field.

What is the difference between Phd Signal Processing vs Signal Processing Engineer?

AspectPhd Signal ProcessingSignal Processing Engineer
Required CredentialsPhD in Signal Processing or related fieldBachelor's or Master's in Electrical Engineering, Computer Science, or related field
Work EnvironmentResearch labs, academia, R&D departmentsIndustry, technology companies, product development
Employer & Industry UsageUniversities, research institutions, some tech companiesTech firms, telecommunications, aerospace, defense
Common Search & ComparisonYesYes

The main difference between Phd Signal Processing and Signal Processing Engineer lies in their focus and credentials. A PhD typically involves advanced research, theoretical work, and academic or R&D roles, while a Signal Processing Engineer applies practical skills in industry to develop and implement signal processing solutions. Both roles require knowledge of signal processing concepts, but their work environments and career paths differ significantly.

Is a PhD worth it in electrical engineering?

A PhD in electrical engineering, including signal processing, can lead to advanced research, academic positions, and specialized roles in industry. It typically requires several years of study and research, but can result in higher earning potential and expertise in areas like algorithms, hardware, and data analysis.

Is signal processing in demand?

Signal processing is in high demand across industries such as telecommunications, aerospace, healthcare, and defense, especially for roles involving data analysis, algorithm development, and system design. Professionals with expertise in digital signal processing, machine learning, and programming tools like MATLAB or Python are sought after as technology advances and data-driven solutions expand.

What job categories do people searching Phd Signal Processing jobs in Orem, UT look for?

The top searched job categories for Phd Signal Processing jobs in Orem, UT are:

Data Curation/Data Engineer (AI Quality & Evaluation)

US Tech Solutions

Lehi, UT • On-site

$107K - $129K/yr

Full-time

Re-posted 5 days ago


Job description

Job Summary:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. They are seeking a Data Curation/Data Engineer to join their AI team and ensure the highest standards of quality, safety, and performance across AI-driven product offerings. The role involves collaborating with cross-functional teams to develop and maintain high-quality datasets and AI systems.
Responsibilities:
• Architect and implement frameworks to enforce AI quality, safety, and evaluation standards.
• Design and maintain scalable data pipelines for data ingestion, curation, annotation, and validation.
• Develop comprehensive evaluation methodologies and datasets to measure model accuracy, safety, and performance.
• Test, refine, and optimize ML models for both edge devices and cloud environments.
• Partner closely with embedded, app, platform, QA, product, and UX teams to deploy AI solutions at scale.
• Monitor production AI systems, analyze performance metrics, and drive continuous improvement.
• Establish best practices for data governance, reproducibility, and model lifecycle management.
Qualifications:
Required:
• 3–5 years of relevant experience in AI/ML, data engineering, model evaluation, or AI quality engineering.
• Strong analytical and problem-solving skills.
• Data structures, data curation, annotation workflows, and dataset lifecycle management.
• Model training, fine-tuning, and evaluation.
• LLM and Generative AI training/evaluation.
• Computer vision training, validation, and deployment.
• Transformers, LLMs, Vision-Language Models (VLM), and knowledge graphs.
• Classification, object detection, segmentation, tracking, recognition, Re-ID, pose estimation, and vector embeddings.
• Model compression techniques.
• Image, audio, radar, and signal processing.
• Advanced proficiency in Python.
• Shell scripting.
• C++ and/or Rust.
• Embedded Linux environments.
• Git version control.
• Experience working with secure, scalable, high-availability, low-latency, and distributed systems.
• Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related field.
Company:
US Tech Solutions counted among the largest yet the fastest growing staffing firm; all achieved organically. Founded in 2000, the company is headquartered in Toronto, CAN, with a team of 1001-5000 employees. The company is currently Late Stage.

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About US Tech Solutions

Sourced by ZipRecruiter

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Jersey City, NJ, US

Year founded

2000

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