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Signal Processing Algorithm Nvidia Jobs (NOW HIRING)

$109K - $191K/yr

The primary focuses of this role are in the areas of acoustics, signal processing, algorithm development, modeling, data analysis, and software engineering with an interest in undersea systems. You ...

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Signal Processing Algorithm Nvidia information

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$100.5K

$131.3K

$148K

How much do signal processing algorithm nvidia jobs pay per year?

As of Jun 7, 2026, the average yearly pay for signal processing algorithm nvidia in the United States is $131,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $142,000.00 per year, depending on experience, location, and employer.

What is the difference between Signal Processing Algorithm Nvidia vs Signal Processing Engineer?

AspectSignal Processing Algorithm NvidiaSignal Processing Engineer
CredentialsTypically requires knowledge of GPU programming, CUDA, and Nvidia-specific toolsBachelor's or master's in electrical engineering, computer science, or related fields; certifications in signal processing are common
Work EnvironmentPrimarily in R&D teams focused on hardware acceleration, AI, and GPU optimizationIn labs or offices working on system design, algorithm development, and signal analysis
Industry UsageUsed in AI, autonomous vehicles, and high-performance computing applicationsApplied across telecommunications, aerospace, defense, and consumer electronics

While Signal Processing Algorithm Nvidia focuses on developing GPU-accelerated algorithms using Nvidia technologies, Signal Processing Engineers design and implement signal processing systems across various industries. Both roles require strong technical skills, but Nvidia specialists are more hardware and GPU-focused, whereas Signal Processing Engineers have broader application expertise.

How does a Signal Processing Algorithm Engineer at Nvidia typically collaborate with cross-functional teams during product development?

As a Signal Processing Algorithm Engineer at Nvidia, you’ll regularly work alongside hardware engineers, software developers, and product managers to integrate your algorithms into cutting-edge products. Collaboration often involves translating algorithmic concepts into practical implementations, conducting joint reviews, and iterating based on feedback from different teams. Effective communication and a willingness to adapt your solutions to fit hardware constraints or software frameworks are essential. This teamwork not only enhances the final product but also provides valuable opportunities for professional growth and knowledge sharing.

What are the key skills and qualifications needed to thrive as a Signal Processing Algorithm Engineer at Nvidia, and why are they important?

To thrive as a Signal Processing Algorithm Engineer at Nvidia, you need a strong background in mathematics, digital signal processing (DSP), and algorithm development, typically supported by an advanced degree in electrical engineering, computer science, or a related field. Expertise with programming languages such as C++, Python, and MATLAB, as well as familiarity with GPU programming and frameworks like CUDA, is highly valued. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and translating complex concepts into practical solutions. These skills and qualities are essential to develop efficient, high-performance algorithms that drive Nvidia's cutting-edge products and technologies.

What does a Signal Processing Algorithm Engineer at Nvidia do?

A Signal Processing Algorithm Engineer at Nvidia is responsible for developing and optimizing algorithms that process digital signals, such as audio, video, or sensor data, for use in Nvidia's hardware and software products. This role involves designing, implementing, and testing algorithms to enhance performance, efficiency, and quality in applications like AI, computer vision, graphics, and autonomous systems. The engineer collaborates closely with hardware and software teams to ensure seamless integration of signal processing techniques, driving innovation in Nvidia's cutting-edge technologies.
Infographic showing various Signal Processing Algorithm Nvidia job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 84% Physical, 8% Hybrid, and 8% Remote job distribution, with an average salary of $131,250 per year, or $63.1 per hour.
Sr. Systems Engineer - RF Signal Processing

Sr. Systems Engineer - RF Signal Processing

Raytheon Technologies

Tucson, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description

Date Posted:
2026-05-18
Country:
United States of America
Location:
US-AZ-TUCSON-849 ~ 1151 E Hermans Rd ~ BLDG 849 (External Site)
Position Role Type:
Onsite
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Security Clearance Type:
DoD Clearance: Secret
Security Clearance Status:
Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date
At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.
The Processing, Guidance and Controls (PG&C) Center within the Systems Engineering and Test Capabilities Discipline consists of Guidance, Navigation and Control; Signal Processing; and Modeling, Simulation, and Analysis disciplines for Effectors.
The Signal Processing team is seeking Sr. Systems Engineer - EO/IR or RF Signal Processing engineers to join our PG&C Center in Tucson, AZ.
As the Sr. Systems Engineer - EO/IR or RF Signal Processing, you will collaborate in the design, development, prototyping, integration, testing, and performance assessment of radio frequency (RF) or electro-optical / infrared (EO/IR) algorithms and models. Used across our products and new business initiatives, signal processing algorithms extract and exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting, acquiring, tracking, and classifying objects of interest; and sensor fusion. This is an onsite position located in Tucson, AZ.
What You Will Do
  • You will act as a seasoned professional with advanced knowledge of signal processing to support development, execution, and completion of difficult and sometimes complex missile systems program objectives.
  • You will use and modify simulations for the design, development, prototyping, integration, testing, and performance assessment of signal processing algorithms and models.
  • You will participate in engineering lab environments to test, verify, and validate sensor models and signal processing algorithm performance in accordance with requirements.
  • You will focus on integration of algorithms into hardware and collaborate in all development phases from program start-up to live-fire testing, supporting design reviews, peer reviews, and technical briefings to parties within and outside your own discipline.
  • You will share your knowledge and mentor others.

Qualifications You Must Have
  • Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of relevant prior experience
  • Signal processing experience in the EO/IR, RF, Sonar, or Acoustic domains
  • Experience with the C programming language, or Object-Oriented Programming experience with the C++, C#, or Java programming languages
  • Experience with algorithm design, implementation, analysis, testing, and optimization
  • Ability to obtain and maintain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start.

Qualifications We Prefer
  • Advanced Degree in Electrical Engineering, Computer Engineering, Physics, or Applied Math
  • Experience with missile systems applications supporting customer programs
  • Experience with version control tools such as Azure DevOps and Git
  • Practical experience in multiple EO/IR, RF, sonar, or acoustic algorithms such as edge detection, segmentation, image restoration, adaptive processing, beamforming, angle estimation, synthetic aperture processing, waveform design, tracking, feature extraction, or classification / recognition
  • Proficiency in using MATLAB or Python for analysis of data sets
  • Strong communication skills, capable of presenting analysis to technical and non-technical audiences
  • Experience with hardware/software integration
  • Ability to interface with adjacent engineering disciplines such as Guidance, Navigation, and Control; Software Engineering; Systems Engineering; or Hardware Engineering

What We Offer
  • Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.
  • Relocation Eligible - relocation assistance is available for this position

Learn More & Apply Now!
  • Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
  • This position requires onsite work in Tucson, AZ: https://careers.rtx.com/global/en/raytheon-tucson,-az-location

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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