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Work From Home Radar Signal Processing Engineer Jobs

The Pennsylvania State University

$109K - $191K/yr

... talented Signal Processing Research and Development Engineer to join the Acoustic Data Science ... from the recorded data, and generation of reports and presentations to document findings * Work on ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Engage in research efforts ranging from proof-of-concept through integrated production Required ...

Astrion

Surveillance Radar Engineer

Washington, DC · Remote

$120K - $140K/yr

Overview Surveillance Radar Engineer LOCATION: Remote JOB STATUS: Full-time CLEARANCE: BI investigation CERTIFICATION: N/A TRAVEL: as needed Must be US citizen Astrion is seeking a Surveillance Radar ...

GMV

RF & Signal Processing Engineer

Naples, NC · On-site +1

If you don't know us yet, we are an engineering and technological innovation company working on ... In addition, you can work from home to improve your work-life balance. * We care about your well ...

The Pennsylvania State University

$76K - $164K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Engineering, or Computer Science * Software design * Signal Processing * FPGA development * Develop ...

Peraton

Radar + RF Communications Engineer

$104K - $166K/yr

The candidate will work to collaborate with Radar Project Leads and senior management to develop ... Expertise in Radar systems, signal processing, tracking and track filtering as well as other ...

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All JobsWork From Home Radar Signal Processing Engineer Jobs

Work From Home Radar Signal Processing Engineer information

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$100.5K

$131.3K

$148K

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

As of Jun 9, 2026, the average yearly pay for work from home radar signal processing engineer 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 are the key skills and qualifications needed to thrive as a Work From Home Radar Signal Processing Engineer, and why are they important?

To excel as a Work From Home Radar Signal Processing Engineer, you need a strong background in electrical engineering, signal processing theory, and experience with radar systems, often supported by a relevant degree and industry certifications. Proficiency in programming languages such as MATLAB, Python, and C++, as well as familiarity with simulation tools and signal processing libraries, is typically required. Exceptional problem-solving skills, self-motivation, and effective remote communication set top performers apart in this role. These skills ensure the ability to design, analyze, and optimize radar algorithms while collaborating efficiently with distributed engineering teams.

What does a Work From Home Radar Signal Processing Engineer do?

A Work From Home Radar Signal Processing Engineer designs, develops, and implements algorithms and systems that process signals from radar equipment, but does so remotely. Their work includes analyzing raw radar data, enhancing signal clarity, filtering out noise, and extracting useful information to support applications like navigation, surveillance, and defense. These engineers typically use software tools such as MATLAB or Python, collaborate with remote teams, and ensure the integrity of radar data processing from their home office. The role requires a strong background in electrical engineering, signal processing, and computer programming.

How does a work from home Radar Signal Processing Engineer typically collaborate with hardware teams?

As a remote Radar Signal Processing Engineer, collaboration with hardware teams is usually facilitated through regular virtual meetings, shared documentation platforms, and cloud-based simulation tools. You’ll often review hardware specifications, discuss integration challenges, and coordinate testing schedules with colleagues in different locations. Effective communication skills and familiarity with collaborative engineering software are essential for ensuring your signal processing algorithms are compatible with hardware constraints and performance requirements. This remote setup encourages proactive communication and detailed documentation to keep all stakeholders aligned throughout the project lifecycle.

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

AspectWork From Home Radar Signal Processing EngineerWork From Home RF Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Signal Processing certificationsBachelor's or Master's in Electrical Engineering, RF certifications
Work EnvironmentPrimarily software-focused, data analysis, algorithm developmentHardware-focused, testing, and system integration
Industry UsageDefense, aerospace, research institutionsTelecommunications, wireless, broadcasting
Common Search/ComparisonYesYes

The main difference between a Work From Home Radar Signal Processing Engineer and a Work From Home RF Engineer lies in their focus areas. Radar Signal Processing Engineers primarily work on developing algorithms and software for radar systems, often in research or defense sectors. RF Engineers focus on designing and testing radio frequency hardware and systems, mainly in telecommunications. Both roles may require similar educational backgrounds but differ in their technical focus and work environment.

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Work From Home Radar Signal Processing Engineer jobs near you

Research Engineer, Sensor Signal Processing

Waabi

Pittsburgh, PA • On-site, Remote

$155K - $269K/yr

Full-time

Posted 15 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

As a Research Engineer in Sensor Signal Processing, you will be a key contributor to the research and development of Waabi’s signal processing stack for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and other modalities) with low latency and high reliability. We value original, high-impact ideas and rigorous experimental validation.

You will…

- Be part of a multidisciplinary team of scientists and engineers working on a system that turns raw sensor data captured under diverse environments into useful signals for autonomous driving.

- Design and implement novel signal processing techniques for sensor data acquisition, fusion, and filtering.

- Optimize signal processing algorithms for deployment on parallel computing architectures (e.g., CPU, GPU, DSP, and specialized accelerators).

- Collaborate with Waabi’s autonomy and hardware teams to ensure the robustness of the entire system.

- Have the opportunity to make contributions to high-impact research papers submitted to top conferences or journals (e.g., TSP, TIP, ICRA, IROS, CVPR, NeurIPS, SIGGRAPH, HPG).

Qualifications:

- Signal Processing Theory and Practice. You have a thorough understanding of the fundamentals of signal processing, both classical (filtering, estimation) and learning-based (image denoising and super-resolution, 2D and 3D segmentation). You know how to apply insights from the underlying mathematics (Toeplitz matrices, spectral bandwidth, M-estimators) to design robust numerical algorithms that operate on data from real-world sensors.

- Real-time and Embedded Systems You have experience working with high-throughput data inputs in latency-sensitive algorithms, all under a limited compute and memory budget.

- Rapid Prototyping and Shipping Production Software. You are comfortable rapidly building proofs of concept in a high level language like Python, Julia, or MATLAB. You are equally comfortable reading and developing production-quality software.

Bonus:

- Industry experience in 1D (audio), 2D (image), 3D (point cloud), or 4D (radar) signal processing.

- Experience with numerical algorithms and mathematical optimization: BLAS, CHOLMOD, Gauss-Newton, L-BFGS, linear programming.

- Experience with real-time methods: causal and recursive filters, recurrent neural networks, transformers

- Experience with systems programming: buffer management, asynchronous communication, hardware accelerators.

- Solid knowledge in performance profiling and optimization.

The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.