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Evening Audio Signal Processing information

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$53.5K

$131.3K

$193.5K

How much do evening audio signal processing jobs pay per year?

As of Jun 29, 2026, the average yearly pay for evening audio signal processing 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 is Evening Audio Signal Processing?

Evening Audio Signal Processing refers to the specialized analysis, manipulation, and enhancement of audio signals that takes place during evening hours, often to support live events, broadcasts, or studio sessions that occur at night. Professionals in this role use digital signal processing (DSP) techniques to ensure high-quality sound, minimize noise, and balance audio levels in real time. This job may involve monitoring live audio feeds, troubleshooting technical issues, and collaborating with other audio engineers or production teams to deliver clear and consistent sound experiences. Effective communication and proficiency with audio engineering equipment and software are essential for success in this field.

What are some unique challenges faced by professionals working evening shifts in audio signal processing roles?

Working evening shifts in audio signal processing can present unique challenges such as managing communication with daytime teams, adjusting to off-peak work hours, and ensuring consistent workflow handoffs. Professionals may often need to collaborate asynchronously with colleagues and troubleshoot audio issues independently when fewer team members are available. However, evening shifts can also offer quieter work environments, allowing for focused and efficient processing of audio tasks. Adaptability, clear documentation, and proactive communication are essential for success in this setting.

What are the key skills and qualifications needed to thrive as an Audio Signal Processing Engineer, and why are they important?

To thrive as an Audio Signal Processing Engineer, you need a solid background in digital signal processing, audio engineering, and a relevant degree such as electrical engineering or computer science. Proficiency with tools like MATLAB, Python, C++, and audio processing libraries, along with experience using digital audio workstations (DAWs), is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills help engineers excel in collaborative and creative environments. These competencies are crucial for designing, analyzing, and optimizing high-quality audio systems in applications ranging from music production to telecommunications.

What is the difference between Evening Audio Signal Processing vs Audio Engineer?

AspectEvening Audio Signal ProcessingAudio Engineer
CredentialsTypically requires a degree or certification in audio engineering or signal processingRequires a degree in audio engineering, music production, or related field
Work EnvironmentSpecialized in processing audio signals, often in studio or lab settings, with focus on signal qualityWorks in recording studios, live venues, or broadcast environments, handling recording, mixing, and live sound
Industry UsageUsed in audio signal enhancement, filtering, and noise reduction tasks, often during evening or off-hoursInvolved in recording, mixing, mastering, and live sound production across music, film, and broadcast industries

While both roles involve audio, Evening Audio Signal Processing focuses on technical signal manipulation, often during specific hours, whereas an Audio Engineer handles broader production tasks in various settings. Understanding these differences helps clarify career paths and job expectations in the audio industry.

What cities are hiring for Evening Audio Signal Processing jobs? Cities with the most Evening Audio Signal Processing job openings:
What are the most commonly searched types of Audio Signal Processing jobs? The most popular types of Audio Signal Processing jobs are:
What states have the most Evening Audio Signal Processing jobs? States with the most job openings for Evening Audio Signal Processing jobs include:
Evening Audio Signal Processing jobs near you

Research Engineer, Sensor Signal Processing

Waabi

Pittsburgh, PA • On-site, Remote

$155K - $269K/yr

Full-time

Posted 5 days ago

Key responsibilities

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

  • Optimize signal processing algorithms for deployment on parallel computing architectures such as CPU, GPU, DSP, and specialized accelerators.

  • Collaborate with multidisciplinary teams to build scalable solutions that handle massive amounts of sensor data for autonomous driving.

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.