Top 142 Rf signals processing engineering scientist Jobs

2026 Graduate - Synthetic Aperture Radar ML Engineer - Imaging Systems
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $85,000 - $165,000 a year
- Full-time
- Computer Science
- Master's degree
- Analysis skills
- Disability insurance
- Health insurance
Digital Signal Processing (DSP) Engineering Scientist - GNSS
University of Texas at Austin —Austin, TX
- From $104,000 a year
- Weekends as needed
- Computer Science
- Engineering
- Mid-level
- Paid holidays
- Health insurance
13d
Software Engineer - Avionics RF Design and Integration
Capgemini —Atlanta, GA
- $79,750 - $159,500 a year
- Full-time
- Senior level
- Python
- Paid holidays
- Disability insurance
Software Engineer - Avionics RF Design and Integration
Capgemini —Seattle, WA
- $79,750 - $174,000 a year
- Full-time
- Senior level
- Python
- Paid holidays
- Disability insurance
Radar System Engineer - Maritime and Next-Generation Radars
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $85,000 - $195,000 a year
- Full-time
- Master's degree
- Analysis skills
- Math
- Disability insurance
- Health insurance
Digital Signal Processing Engineer
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $100,000 - $245,000 a year
- Full-time
- 5 years
- Bachelor of Science
- System design
- Disability insurance
- Health insurance
Radar Systems Engineer
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $85,000 - $195,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- System design
- Disability insurance
- Health insurance
Lead Media Systems Engineer (Supervisory Duties)
Disney Entertainment and ESPN Product & Technology —The Woodlands, TX
- $123,000 - $165,000 a year
- Full-time
- 7 years
- Azure
- DevOps
Media Systems Engineer II
Disney Entertainment and ESPN Product & Technology —Burbank, CA
- $95,300 - $127,800 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
Wireless Research Scientist
Bosch Group —Sunnyvale, CA
- $140,000 - $160,000 a year
- Full-time
- Hybrid work
- Background check
- Computer science
- Computer Science
- Health savings account
- Disability insurance
Quick Apply
Temporary R&D Software Engineer
Northeastern University —Burlington, MA
- $35 an hour
- Part-time
- Computer Science
- Bachelor of Science
- Office
- Health insurance
- Dental insurance
Optical Scientist
S2 Corporation —Bozeman, MT
- Extended hours
- Background check
- Management
- Word processing
Research Scientist - Signal Processing
RTX Corporate —Arlington, VA
- $95,500 - $181,700 a year
- Full-time
- Computer Science
- 5 years
- Bachelor of Science
- Paid holidays
- Disability insurance
Principal Research Scientist: Signal Processing
RTX Corporate —Arlington, VA
- $118,300 - $224,900 a year
- Full-time
- 3 years
- Supervising experience
- Doctor of Philosophy
- Paid holidays
- Disability insurance
Research Scientist
Embry-Riddle Aeronautical University —Daytona Beach, FL
- Online Application
- Computer Science
- Mid-level
- Residential
- Paid holidays
- Opportunities for advancement
2026 PhD Graduate – Signal Processing / Communications and Networking Scientist
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $105,000 - $245,000 a year
- Full-time
- System design
- Math
- Doctor of Philosophy
- Disability insurance
- Health insurance
Research Scientist
Northeastern University —Burlington, MA
- $76,335.00 - $107,823.75 a year
- Full-time
- Azure
- Computer Science
- System design
- Health insurance
- Dental insurance
RF Systems Engineer
QUANTUM COMPUTING, INC. —Hoboken, NJ
- $104,000 - $147,000 a year
- Bachelor of Science
- Ability to lift 50 pounds
- Analysis skills
Quick Apply
RF Seeker & Signal Processing Engineer
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $85,000 - $195,000 a year
- Full-time
- Bachelor of Science
- System design
- Mid-level
- Disability insurance
- Health insurance
Applied Signal Processing and AI/ML Engineer
Johns Hopkins Applied Physics Laboratory (APL) —Laurel, MD
- $85,000 - $195,000 a year
- Full-time
- Computer Science
- Mid-level
- 3 years
- Disability insurance
- Health insurance

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2026 Graduate - Synthetic Aperture Radar ML Engineer - Imaging Systems

Johns Hopkins Applied Physics Laboratory (APL) -
Laurel, MD

Apply Now

Job Details

Full-time
$85,000 - $165,000 a year

Benefits

Disability insurance
Health insurance
Dental insurance
Flexible spending account
Paid time off
Vision insurance
Life insurance
Retirement plan

Qualifications

AI models
Performance tuning
Data preprocessing
Signal processing
Testing and evaluation
System performance optimization
Machine intelligence
Math
Linear algebra
Model training
Data performance optimization
Model evaluation

Full Job Description

Description

Are you passionate about machine learning, edge processing, and synthetic aperture radar imaging?

Do you seek a position to apply your engineering skills in an innovative and collaborative laboratory environment?

If so, we are looking for someone like you to join our team at the Johns Hopkins University Applied Physics Laboratory (APL)!

We are seeking an entry-level engineer or scientist to support the growth of RF/machine learning capabilities. The selected candidate will contribute in two primary areas: optimization of SAR-related processing for GPU-enabled edge hardware, and support of machine learning workflows including curated dataset development, model training, evaluation, and deployment to edge devices. This role is intended for a candidate with strong technical fundamentals and the potential to grow into a broader RF/ML contributor through mentorship and hands-on experience. Deep SAR expertise is not required.

As a member of our team, you will…

Support development and optimization of SAR-related algorithms and processing workflows for execution on GPU-enabled edge hardware.
Assist with profiling, debugging, and improving computational performance to meet edge-device constraints such as latency, memory, throughput, and power.
Build, organize, and maintain curated datasets for machine learning training, validation, and testing.
Develop and apply data preprocessing, labeling, and quality-check workflows to prepare data for analysis and model development.
Train, evaluate, and help refine machine learning models for deployment in edge or resource-constrained environments.
Support integration and deployment of algorithms and trained models onto edge computing platforms.
Collaborate with senior staff to transition prototypes into robust, testable implementations.
Document technical approaches, results, implementation details, and performance tradeoffs.
Work closely with mentors and team members to grow technical depth in RF, SAR, machine learning, and edge deployment applications.
Contribute to the team’s emerging RF/ML capabilities through applied development, experimentation, and technical learning.

Qualifications

You meet our minimum qualifications if you have...

Bachelor’s or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or relevant field.
Foundation in signal processing, linear algebra, and related applied mathematical methods.
Programming experience in Python, C++, or similar languages for technical computing, data processing, or algorithm development.
Familiarity with basic machine learning workflows, including data preparation, model training, evaluation, and performance assessment.
Ability to work with raw and processed data to create organized, curated datasets for analysis and model development.
Interest in performance optimization of computational pipelines, including familiarity with GPU or parallel computing concepts.
Awareness of edge or embedded computing constraints such as memory, latency, throughput, and power limitations.
Strong analytical, problem-solving, and communication skills.
Willingness to learn RF, SAR, and edge-deployed ML methods through mentorship and hands-on work.
Are able to obtain an Interim Secret Clearance by your start date and can ultimately obtain a TS/SCI. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information; eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...

Experience with GPU programming, accelerated computing, or performance optimization tools and frameworks.
Exposure to deploying software or machine learning models on embedded or edge computing platforms.
Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or similar toolkits.
Exposure to RF systems, remote sensing, image formation, SAR, or related sensing modalities.
Experience with data curation, labeling, preprocessing, or dataset management for machine learning applications.
Experience working in Linux-based development environments.

About Us

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact [email protected].

The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.

Minimum Rate

$85,000 Annually

Maximum Rate

$165,000 Annually

Apply Now

Refine Your Search

rf signals processing engineering scientist jobs

2026 Graduate - Synthetic Aperture Radar ML Engineer - Imaging Systems

Digital Signal Processing (DSP) Engineering Scientist - GNSS

Software Engineer - Avionics RF Design and Integration

Software Engineer - Avionics RF Design and Integration

Radar System Engineer - Maritime and Next-Generation Radars

Digital Signal Processing Engineer

Radar Systems Engineer

Lead Media Systems Engineer (Supervisory Duties)

Media Systems Engineer II

Wireless Research Scientist

Temporary R&D Software Engineer

Optical Scientist

Research Scientist - Signal Processing

Principal Research Scientist: Signal Processing

Research Scientist

2026 PhD Graduate – Signal Processing / Communications and Networking Scientist

Research Scientist

RF Systems Engineer

RF Seeker & Signal Processing Engineer

Applied Signal Processing and AI/ML Engineer

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