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Remote Signal Processing Research Jobs (NOW HIRING)

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

Apply signal processing, machine learning, and statistical analysis to decode biosignals. * Develop ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... None If filled as Research and Development Engineer - Signal Processing (ARL) - Advanced ...

Radiance Technologies

The individual will support advanced remote sensing exploitation functions through detailed ... Understanding of signal processing techniques for solving new problems * Ability to work both ...

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Remote Signal Processing Research information

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

To excel as a Remote Signal Processing Researcher, you need a strong background in mathematics, signal processing theory, and programming, typically supported by an advanced degree in electrical engineering or a related field. Familiarity with MATLAB, Python (NumPy/SciPy), and simulation tools, along with experience in data analysis and machine learning frameworks, is highly valuable. Strong analytical thinking, effective written communication, and self-motivation are crucial soft skills for remote collaboration and independent research. These competencies are vital for developing innovative solutions, publishing impactful research, and effectively contributing to distributed research teams.

What are some typical challenges faced when working remotely in a Signal Processing Research role?

Working remotely in Signal Processing Research often involves coordinating with multidisciplinary teams across different time zones, which can make real-time collaboration and problem-solving more challenging. Additionally, accessing specialized hardware or laboratory equipment may be limited, requiring creative solutions for simulation and data analysis. However, most organizations provide robust digital collaboration tools and remote access to computational resources, allowing researchers to effectively contribute to projects and publications. Open communication and proactive project management are key to overcoming these challenges.

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

AspectRemote Signal Processing ResearchRemote Audio Signal Processing Engineer
Required CredentialsAdvanced degrees in electrical engineering, signal processing, or related fieldsBachelor's or master's in electrical engineering, audio engineering, or similar
Work EnvironmentResearch labs, universities, or corporate R&D teams, often focused on innovationProduct development teams, audio technology companies, or consumer electronics firms
Industry UsagePrimarily in research institutions, academia, or R&D departmentsIn manufacturing, software development, and consumer electronics industries

Remote Signal Processing Research involves exploring new algorithms and theories in signal processing, often within academic or R&D settings. In contrast, Remote Audio Signal Processing Engineers focus on applying existing techniques to develop audio products and solutions. Both roles require strong technical skills, but their focus and work environments differ significantly.

What is remote signal processing research?

Remote signal processing research involves analyzing and interpreting signals—such as audio, video, or sensor data—collected from remote sources. Researchers in this field develop algorithms and techniques to filter, enhance, and extract useful information from these signals, often using tools like machine learning. This work is vital in areas such as telecommunications, medical imaging, and environmental monitoring. The 'remote' aspect means that researchers can perform these tasks from locations outside of traditional labs or offices, often collaborating online.
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Remote Signal Processing Research jobs near you
Infographic showing various Remote Signal Processing Research 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.

Research Engineer, Sensor Signal Processing

Waabi

San Francisco, CA • On-site, Remote

$155K - $269K/yr

Full-time

Re-posted 21 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.