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Remote Digital Signal Processing Engineer Jobs (NOW HIRING)

V2X Inc

Shipboard Radar Operations Lead

Florida, NY · Remote

... oversee radar engineering duties on a remote platform. Candidates must have significant experience with radar or digital signal processing equipment, manage a team of engineers, and ensure ...

Navstar

Database/Web Engineer Jobs

Tucson, AZ · On-site +1

... digital signal processing (DSP) products and services for the United States Defense and ... Remote work/telework is not available for this position. What benefits does RRC offer? 100 ...

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Remote Digital Signal Processing Engineer information

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$53.5K

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How much do remote digital signal processing engineer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for remote digital signal processing engineer in the United States is $131,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Digital Signal Processing (DSP) Engineer, you need a solid background in electrical engineering, mathematics, and DSP theory, often supported by a bachelor's or master's degree in a related field. Familiarity with tools such as MATLAB, Python, C/C++, and DSP development environments, as well as experience with relevant certifications, is essential. Strong problem-solving abilities, self-motivation, and effective remote communication are standout soft skills for this role. These skills ensure accurate signal analysis, efficient project delivery, and seamless collaboration with distributed engineering teams.

What are some common challenges faced by remote Digital Signal Processing Engineers and how can they be addressed?

Remote Digital Signal Processing (DSP) Engineers often face challenges such as effective real-time collaboration with cross-functional teams, accessing specialized hardware for testing, and managing complex project documentation. To address these, many teams use collaborative platforms for code reviews, version control, and communication, as well as remote access to lab equipment or simulation tools. Proactive communication and clear documentation are essential for staying aligned with team goals and timelines, enabling remote DSP engineers to contribute effectively despite geographical distance.

What is a Remote Digital Signal Processing Engineer?

A Remote Digital Signal Processing (DSP) Engineer is a professional who designs, develops, and implements algorithms and systems for processing digital signals such as audio, video, radar, or sensor data, while working from a remote location. They use mathematical and computational techniques to analyze and manipulate signals to achieve desired outcomes, such as noise reduction, data compression, or feature extraction. Remote DSP Engineers typically collaborate with teams using digital tools, contribute to product development, and may work in industries such as telecommunications, audio engineering, medical imaging, or defense. Their role often involves programming, simulation, and testing of algorithms using languages like MATLAB, Python, or C/C++.

What is the difference between Remote Digital Signal Processing Engineer vs Remote Audio Signal Processing Engineer?

AspectRemote Digital Signal Processing EngineerRemote Audio Signal Processing Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of DSP algorithmsBachelor's or Master's in Audio Engineering, Electrical Engineering, or related fields; expertise in audio processing
Work EnvironmentRemote, often in tech or telecommunications companiesRemote, mainly in music, media, or audio technology companies
Industry UsageTelecommunications, defense, consumer electronicsMusic production, broadcasting, audio hardware/software

The main difference is that Remote Digital Signal Processing Engineers focus on a broad range of signals like radio, radar, or telecommunications, while Remote Audio Signal Processing Engineers specialize in audio signals for music, media, and broadcasting. Both roles require strong DSP knowledge and often work remotely in tech-driven industries.

More about Remote Digital Signal Processing Engineer jobs
What cities are hiring for Remote Digital Signal Processing Engineer jobs? Cities with the most Remote Digital Signal Processing Engineer job openings:
What are the most commonly searched types of Digital Signal Processing Engineer jobs? The most popular types of Digital Signal Processing Engineer jobs are:
What states have the most Remote Digital Signal Processing Engineer jobs? States with the most job openings for Remote Digital Signal Processing Engineer jobs include:
What job categories do people searching Remote Digital Signal Processing Engineer jobs look for? The top searched job categories for Remote Digital Signal Processing Engineer jobs are:
Remote Digital Signal Processing Engineer jobs near you
Infographic showing various Remote Digital Signal Processing Engineer job openings in the United States as of May 2026, with employment types broken down into 65% Full Time, 9% Part Time, and 26% Contract. Highlights an 100% Remote job distribution, with an average salary of $131,349 per year, or $63.1 per hour.

Research Engineer, Sensor Signal Processing

Waabi

Pittsburgh, PA • On-site, Remote

$155K - $269K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 9 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.
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