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Remote Signal Processing Research Scientist Jobs

Research Scientist

$75K - $91K/yr

Role: Research Scientist Location: This role will be remote in the continental United States ... processes. You have demonstrated flexibility in the midst of change, being able to successfully ...

Research Scientist

Charleston, WV · Remote

$75K - $91K/yr

Role: Research Scientist Location: This role will be remote in the continental United States ... processes. You have demonstrated flexibility in the midst of change, being able to successfully ...

... signal processing, anomaly detection, or a closely related domain. * Strong Python skills and ... Remote-first environment - giving you flexibility and autonomy in how you structure your day.

Research Scientist

Baltimore, MD · Remote

$120K - $150K/yr

... processing * Experience handling noisy data, uncertainty propagation, and error estimation in a ... Experience with remote sensing datasets, specifically satellite radar, altimetry, and optical ...

Research Scientist

Baltimore, MD · On-site +1

$120K - $150K/yr

... processing * Experience handling noisy data, uncertainty propagation, and error estimation in a ... Experience with remote sensing datasets, specifically satellite radar, altimetry, and optical ...

We are seeking Research Scientists (across all levels of seniority) to join our Artist-First AI ... signal processing. Post-Training - Research in post-training techniques for music generation ...

Fully remote model - #LI-Remote The interview overview Below you'll find an outline of the interview plan for our Research Scientist position. Please note that this is what we expect the process to ...

Fully remote model - #LI-Remote The interview overview Below you'll find an outline of the interview plan for our Research Scientist position. Please note that this is what we expect the process to ...

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ... signals in application materials based on available information. These tools assist our recruitment ...

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Remote Signal Processing Research Scientist information

See salary details

$50.5K

$130.1K

$174K

How much do remote signal processing research scientist jobs pay per year?

As of Jul 17, 2026, the average yearly pay for remote signal processing research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Signal Processing Research Scientist, you generally need an advanced degree in electrical engineering, computer science, or a related field, with a solid foundation in mathematics and signal processing theory. Familiarity with programming languages like MATLAB or Python, experience in simulation tools, and knowledge of machine learning frameworks are typically required, and certifications in data science or digital signal processing can be advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate complex ideas clearly are crucial soft skills for standing out in this position. These competencies are essential to innovating, interpreting data accurately, and collaborating effectively in multidisciplinary, remote research environments.

What is a Remote Signal Processing Research Scientist?

A Remote Signal Processing Research Scientist is a professional who specializes in analyzing and interpreting signals, such as audio, radar, or biomedical data, using advanced mathematical and computational techniques. Working remotely, they design algorithms and models to extract meaningful information from complex signals, often to improve technology in fields like communications, healthcare, or defense. Their work typically involves research, programming, collaboration with multidisciplinary teams, and publishing findings. These scientists often hold advanced degrees in engineering, physics, or related fields and use tools like MATLAB, Python, or specialized signal processing software.

How does a Remote Signal Processing Research Scientist typically collaborate with cross-functional teams, and what communication tools are commonly used in this remote setting?

Remote Signal Processing Research Scientists frequently work with multidisciplinary teams, including data scientists, hardware engineers, and software developers. Collaboration is often facilitated through digital platforms such as Slack, Microsoft Teams, and project management tools like Jira or Asana. Regular virtual meetings and shared documentation ensure alignment on research goals, data requirements, and model development. Clear and proactive communication is key to overcoming remote work challenges, such as time zone differences and asynchronous feedback.

What is the difference between Remote Signal Processing Research Scientist vs Remote Data Scientist?

AspectRemote Signal Processing Research ScientistRemote Data Scientist
Required CredentialsMaster's or PhD in Electrical Engineering, Computer Science, or related fields; expertise in signal processingBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentResearch labs, tech companies, or academia focusing on signal analysis and algorithm developmentBusiness, tech firms, or consulting firms analyzing large datasets to derive insights
Industry UsageTelecommunications, defense, audio/video processingFinance, marketing, healthcare, tech industries

The Remote Signal Processing Research Scientist focuses on developing algorithms for analyzing signals in fields like telecommunications and defense, requiring advanced technical credentials. In contrast, the Remote Data Scientist applies statistical and machine learning techniques to large datasets across various industries. While both roles involve data analysis, their core skills and work environments differ significantly.

More about Remote Signal Processing Research Scientist jobs
What cities are hiring for Remote Signal Processing Research Scientist jobs? Cities with the most Remote Signal Processing Research Scientist job openings:
What are the most commonly searched types of Signal Processing Research Scientist jobs? The most popular types of Signal Processing Research Scientist jobs are:
What states have the most Remote Signal Processing Research Scientist jobs? States with the most job openings for Remote Signal Processing Research Scientist jobs include:
What job categories do people searching Remote Signal Processing Research Scientist jobs look for? The top searched job categories for Remote Signal Processing Research Scientist jobs are:
Infographic showing various Remote Signal Processing Research Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Research Engineer, Sensor Signal Processing

Waabi

Pittsburgh, PA • On-site, Remote

$155K - $269K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 23 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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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