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Entry Level Digital Signal Processing Engineer Jobs in California

Neuralink

Digital IC Design Engineer Intern

Fremont, CA · On-site

$35/hr

We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is ... Low-power digital signal processors * Low-power general-purpose hardware accelerators * Low-power ...

Raytheon

RF Data Link Engineer II

Los Angeles, CA

Digital signal processing What You Will Do * Perform and/or evaluate concept and performance trade ... Provide engineering support through participation in project design reviews, peer reviews ...

Raytheon

RF Data Link Engineer II

San Diego, CA

Digital signal processing What You Will Do * Perform and/or evaluate concept and performance trade ... Provide engineering support through participation in project design reviews, peer reviews ...

Raytheon

RF Data Link Engineer II

San Jose, CA

Digital signal processing What You Will Do * Perform and/or evaluate concept and performance trade ... Provide engineering support through participation in project design reviews, peer reviews ...

OMNIVISION

Product Marketing Engineer

Santa Clara, CA

$110K - $140K/yr

OMNIVISION is looking for a Product Marketing Engineer who will define CMOS image sensor products ... CMOS image sensor, camera systems, Image Signal processing and/or Digital Signal processing, optics ...

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Entry Level Digital Signal Processing Engineer information

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

To thrive as an Entry Level Digital Signal Processing Engineer, you need a solid background in mathematics, signal processing theory, and programming, usually supported by a degree in electrical engineering or a related field. Experience with tools like MATLAB, Simulink, and Python, as well as familiarity with DSP algorithms and hardware platforms, is typically required. Strong analytical thinking, problem-solving ability, and effective communication help you collaborate with teams and convey technical concepts clearly. These skills and qualities are crucial for developing efficient DSP solutions and contributing effectively to engineering projects.

What types of projects and technologies will I typically work on as an entry level Digital Signal Processing Engineer?

As an entry level Digital Signal Processing (DSP) Engineer, you'll often work on projects involving the analysis, design, and implementation of algorithms for processing signals such as audio, video, radar, or communications data. You may use tools like MATLAB, Python, or C/C++ to develop and test signal processing algorithms, and collaborate with hardware and software teams to integrate your solutions into larger systems. Expect to participate in code reviews, documentation, and debugging sessions, as well as learning about real-time processing constraints and industry standards. This experience provides a solid foundation for advancing to more specialized or senior engineering roles.

What does an Entry Level Digital Signal Processing Engineer do?

An Entry Level Digital Signal Processing (DSP) Engineer assists in designing, developing, and testing algorithms and systems that process digital signals such as audio, video, or sensor data. They typically work with teams to implement DSP techniques in hardware or software, analyze signal data, and optimize solutions for performance and efficiency. These engineers may also help with debugging, documentation, and supporting senior engineers on various projects. Common industries include telecommunications, audio engineering, and embedded systems.
What are the most commonly searched types of Digital Signal Processing Engineer jobs in California? The most popular types of Digital Signal Processing Engineer jobs in California are:
What are popular job titles related to Entry Level Digital Signal Processing Engineer jobs in California? For Entry Level Digital Signal Processing Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Digital Signal Processing Engineer jobs in California look for? The top searched job categories for Entry Level Digital Signal Processing Engineer jobs in California are:
What cities in California are hiring for Entry Level Digital Signal Processing Engineer jobs? Cities in California with the most Entry Level Digital Signal Processing Engineer job openings:
Entry Level Digital Signal Processing Engineer jobs near you
Infographic showing various Entry Level Digital Signal Processing Engineer job openings in California as of June 2026, with employment types broken down into 87% Full Time, 1% Part Time, and 12% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Research Engineer, Sensor Signal Processing

Waabi

San Francisco, CA • On-site, Remote

$155K - $269K/yr

Full-time

Posted 18 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.