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Radar Signal Processing Engineer Jobs in Utah (NOW HIRING)

NRG

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

About This Role As an AI Engineer on the Camera AI team, you will work alongside a group of ... Image, Audio, Radar, Signal Processing * Communication Protocols: gRPC, MQTT, WebRTC, Wi-Fi, ...

NRG

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

About This Role As an AI Engineer on the Camera AI team, you will work alongside a group of ... Image, Audio, Radar, Signal Processing * Communication Protocols: gRPC, MQTT, WebRTC, Wi-Fi, ...

NRG

Sr Software Engineer, AI Engineer

Lehi, UT · On-site

$115K - $151K/yr

About This Role As an AI Engineer on the Camera AI team, you will work alongside a group of ... Image, Audio, Radar, Signal Processing * Communication Protocols: gRPC, MQTT, WebRTC, Wi-Fi, ...

Raytheon

Principal RF Data Link Engineer

Provo, UT · On-site

Digital signal processing * Probability theory * Stochastic signal processing * RF and electromagnetic theory Qualifications We Prefer * Master's degree in electrical engineering or computer ...

Raytheon

RF Data Link Engineer II

Provo, UT · On-site

Digital signal processing What You Will Do * Perform and/or evaluate concept and performance trade ... Provide engineering support through participation in project design reviews, peer reviews ...

Raytheon

Senior RF Data Link Engineer

Provo, UT · On-site

Digital signal processing What You Will Do * Perform and/or evaluate concept and performance trade ... Provide engineering support through participation in project design reviews, peer reviews ...

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All JobsRadar Signal Processing Engineer JobsRadar Signal Processing Engineer Jobs in Utah

Radar Signal Processing Engineer information

See Utah salary details

$91.5K

$119.5K

$134.7K

How much do radar signal processing engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for radar signal processing engineer in Utah is $119,486.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $129,300.00 per year, depending on experience, location, and employer.

What does a radar signal processing engineer do?

As a radar signal processing engineer, your responsibilities involve the development and implementation of radar systems. Additional duties are to research and design new algorithms to improve signal processing. You are responsible for modeling and simulating system performance as well as testing the system. You then analyze test results and provide assessment and resolutions to discrepancies. You work with a team to conduct design review and combine efforts to meet and exceed customer requirements. Another important aspect of this job is to ensure the system is compliant with all regulations.

What does a radar signal processing engineer do?

A Radar Signal Processing Engineer designs, develops, and implements algorithms and systems for processing signals received by radar systems. Their work involves extracting meaningful information such as object detection, tracking, and classification from raw radar data. They use mathematical and computational techniques to enhance radar performance, reduce noise, and interpret complex signals. This role is critical in industries like defense, aerospace, automotive, and weather monitoring, where radar technology is essential.

What are the key skills and qualifications needed to thrive as a radar signal processing engineer, and why are they important?

A Radar Signal Processing Engineer should possess a strong background in electrical engineering, signal processing theory, and mathematics, typically with a relevant bachelor's or master's degree. Experience with tools such as MATLAB, Python, C/C++, and familiarity with simulation environments and hardware-in-the-loop testing are commonly required, along with knowledge of radar systems and possibly security clearance. Analytical thinking, problem-solving abilities, and effective communication are critical soft skills to excel in multidisciplinary teams. These skills and qualifications are crucial for developing, optimizing, and implementing complex radar algorithms that ensure high-performance and reliable systems.

What are some common challenges faced by radar signal processing engineers when working on real-world systems?

Radar Signal Processing Engineers often encounter challenges such as mitigating interference and clutter in complex environments, optimizing algorithms for real-time performance, and ensuring signal integrity amidst hardware limitations. Collaboration with hardware engineers and system architects is crucial, as signal processing solutions must integrate seamlessly with physical radar systems. Staying updated with the latest advancements in algorithms and simulation tools can also help tackle these challenges effectively.

What is the difference between Radar Signal Processing Engineer vs RF Engineer?

AspectRadar Signal Processing EngineerRF Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Signal Processing, or related fieldsBachelor's or Master's in Electrical Engineering, RF Engineering, or related fields
Work EnvironmentDesigning and analyzing radar signal algorithms, testing in labs or fieldDesigning RF circuits, testing antennas, working in labs or manufacturing
Industry UsageDefense, aerospace, military radar systemsWireless communications, radar, satellite systems

Radar Signal Processing Engineers focus on developing algorithms to interpret radar signals, while RF Engineers work on designing and optimizing radio frequency hardware. Both roles require electrical engineering backgrounds but differ in their core responsibilities and work environments.

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Radar Signal Processing Engineer jobs near you
Infographic showing various Radar Signal Processing Engineer job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $119,486 per year, or $57.4 per hour.

Sr Software Engineer, AI Engineer

Nrg Bluewater Wind

Lehi, UT • On-site

$120 - $180/hr

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Welcome to the intersection of energy and home services. At NRG, we’re driven by our passion to create a smarter, cleaner and more connected future.

Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States, dedicated to redefining the home experience with intelligent products and services. We find purpose in proactively protecting and keeping our customers connected to home, no matter where they are. Join the Smart Home team to create smarter, safer and more sustainable homes.

About This Role

As an AI Engineer on the Camera AI team, you will work alongside a group of talented and collaborative engineers to create practical AI solutions that significantly enhance home protection, provide valuable insights, and increase daily convenience. Our pioneering, fully integrated smart home ecosystem provides a unique platform to develop groundbreaking experiences in computer vision, sensor fusion, and advanced machine learning applications.

Your key responsibilities will encompass:
  • Lead the design and development of high-quality, scalable AI features and products, focusing on customer benefits and technical excellence.
  • Collaborate closely with cross-functional teams (embedded, apps, platform, QA, product, and UX) to successfully deploy AI solutions to our large customer base.
  • Create, test, and refine advanced machine learning models, optimizing them for both edge and cloud environments.
  • Develop comprehensive pipelines for data management, including curation, visualization, annotation, and model training processes.
  • Continuously monitor and maintain the performance of AI features in production, ensuring ongoing customer value and discover iterative improvements.
Required Qualifications:
  • Bachelor's, Master's, PhD in Data Science, Mathematics, Computer Science, Computer Engineering, Electrical Engineering or related field and 3-5 years of relevant experience Strong analytical and problem-solving skills AI/ML Experience:
  • Data structures, curation, annotation, and pipelines o Model training, fine-tuning, and evaluation
  • Programming and Technical Proficiency: Rust, C++, Python, Shell, Embedded Linux, Git
Preferred Qualifications:
  • ML frameworks: TensorFlow, PyTorch
  • Data Visualization/Story Telling and Data Wrangling/Munging/Big Data
  • MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines
  • Cloud: GCP (Vertex AI/Storage/Cloud Functions), AWS, Azure
  • Databases: SQL, NoSQL, Vector, Time Series, Graph
  • Transformers, LLMs, Knowledge Graphs
  • Edge computing, Embedded Systems, and IoT Devices
  • Image, Audio, Radar, Signal Processing
  • Communication Protocols: gRPC, MQTT, WebRTC, Wi-Fi, Bluetooth
  • Experience working with secure, scalable, high-availability, low latency, and distributed solutions
  • JIRA and Confluence proficiency

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.

EEO is the Law Poster(The poster can be found athttp://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf)

Official description on file with Talent.

We support the use of AI tools to help you prepare for your interview (e.g., practicing responses, researching the role, or refining your resume). However, during interviews and assessments, we expect responses to reflect your own thinking, experience, and communication. Use of AI to generate or read answers in real time, complete assessments, or misrepresent your qualifications is not permitted and may impact your candidacy.

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