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Temporary Signal Processing Research Scientist Jobs

Apex Systems

Signal Processing Engineer

Atlanta, GA

$95K - $160K/yr

Role Overview We are seeking Signal Processing Engineers to research and develop future technology ... Computer Science, Physics, Mathematics, or a related field. * 7+ years of experience in ...

Anduril Industries

Senior Research Scientist

Waltham, MA

$106K - $135K/yr

Engineering: controls, estimation theory, digital signal processing, and machine learning ... A Senior Research Scientist should have effective written and verbal communication skills, with the ...

Anduril Industries

Senior Research Scientist

Broomfield, CO · On-site

$99K - $126K/yr

Engineering: controls, estimation theory, digital signal processing, and machine learning ... A Senior Research Scientist should have effective written and verbal communication skills, with the ...

Teledyne FLIR LLC

Research Scientist

Durham, NC · On-site

Join Teledyne Scientific & Imaging as a Research Scientist ! Are you ready to launch your career to ... Perform sophisticated signal processing, statistical analysis, and systems engineering tasks

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Temporary Signal Processing Research Scientist information

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$50.5K

$130.1K

$174K

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

As of Jun 10, 2026, the average yearly pay for temporary 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 Temporary Signal Processing Research Scientist, and why are they important?

To thrive as a Temporary Signal Processing Research Scientist, you typically need an advanced degree in electrical engineering, computer science, or a related field with a strong background in signal processing theory and algorithms. Familiarity with MATLAB, Python, and specialized signal processing libraries, along with experience in simulation and data analysis tools, is usually required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex findings clearly are valuable soft skills in this role. These competencies are crucial for developing innovative solutions, producing rigorous research outputs, and collaborating effectively in a temporary, project-driven research environment.

What does a Temporary Signal Processing Research Scientist do?

A Temporary Signal Processing Research Scientist is responsible for conducting research and development in the field of signal processing, often for a specific project or limited period. Their work involves designing and implementing algorithms to analyze, interpret, and manipulate signals such as audio, images, or sensor data. These scientists collaborate with engineers and other researchers to solve complex problems, validate models, and contribute to publications or patents. As a temporary position, the role typically focuses on achieving specific research objectives within a set timeframe.

What are the typical projects and collaborative dynamics for a Temporary Signal Processing Research Scientist?

As a Temporary Signal Processing Research Scientist, you may work on short-term, high-impact research projects such as developing new algorithms for data analysis, improving signal filtering techniques, or prototyping real-time signal processing systems. Collaboration is key in this role; you’ll often partner with engineers, software developers, and other scientists to share findings and integrate solutions into larger systems. The work environment is typically fast-paced and project-based, requiring adaptability and strong communication skills. Temporary roles can also offer exposure to cutting-edge research and the opportunity to build relationships with leading experts in the field.

What is the difference between Temporary Signal Processing Research Scientist vs Temporary Communications Research Scientist?

AspectTemporary Signal Processing Research ScientistTemporary Communications Research Scientist
Required CredentialsMaster's or Ph.D. in Electrical Engineering, Signal Processing, or related fieldsMaster's or Ph.D. in Electrical Engineering, Communications, or related fields
Work EnvironmentResearch labs, tech companies, universitiesResearch labs, telecom companies, universities
Industry UsageFocuses on signal algorithms, filtering, and analysisFocuses on communication systems, protocols, and network performance

Temporary Signal Processing Research Scientists and Temporary Communications Research Scientists share similar educational backgrounds and work environments. However, their focus areas differ: the former specializes in signal algorithms and analysis, while the latter concentrates on communication systems and network protocols. Both roles are essential in tech and research industries, often overlapping but distinct in their core responsibilities.

What cities are hiring for Temporary Signal Processing Research Scientist jobs? Cities with the most Temporary 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 Temporary Signal Processing Research Scientist jobs? States with the most job openings for Temporary Signal Processing Research Scientist jobs include:
Temporary Signal Processing Research Scientist jobs near you

Research Engineer, Sensor Signal Processing

Waabi

San Francisco, CA • On-site, Remote

$155K - $269K/yr

Full-time

Posted 16 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.