2

Remote Digital Signal Processing Jobs in California

Lead Product Manager - Digital & AI

San Diego, CA ยท On-site +1

$181K - $226K/yr

San Diego, CA or Remote (U.S. West Coast / Pacific Time Zone) What You'll Do * Set the vision ... Identify and validate opportunities through customer insight, market signals, clinical evidence ...

Scaled, Digital Experience CSM

San Jose, CA ยท Remote

$24.85 - $31.06/hr

Scaled, Digital Experience CSM Full-time Remote You'll be joining Adobe on a contract opportunity ... Act as the voice of the customer by sharing process improvements and product feedback internally ...

Software Engineer

San Diego, CA ยท On-site +1

$87K - $157K/yr

Our San Diego research and engineering team tackles some of the most complex challenges in national defense using advanced signal processing, ocean remote sensing, and high-performance computing . We ...

Creative Strategist (Full-Time, Remote) MVR Digital is hiring a Creative Strategist to own the link ... Translate those signals into structured creative briefs: segment, message, hook type, format ...

Showing results 41-60

Remote Digital Signal Processing information

What are some common challenges faced by professionals in remote digital signal processing roles, and how can they be managed?

Professionals working in remote digital signal processing (DSP) roles often encounter challenges such as effective collaboration with distributed teams, managing large datasets, and ensuring reliable testing of algorithms without direct access to lab equipment. To overcome these, it's important to leverage cloud-based collaboration tools, maintain thorough documentation, and utilize remote access to shared development environments or simulators. Regular virtual meetings and clear communication protocols also help keep projects on track and ensure alignment among team members.

Does remote digital signal processing pay well?

Remote digital signal processing jobs typically offer competitive salaries that vary based on experience, education, and location. Professionals with specialized skills in algorithms, programming languages like MATLAB or Python, and experience with hardware integration tend to earn higher wages. Overall, digital signal processing roles are well-compensated within the tech industry, especially at senior levels or with advanced certifications.

What is the difference between Remote Digital Signal Processing vs Remote Audio Signal Processing?

AspectRemote Digital Signal ProcessingRemote Audio Signal Processing
CredentialsBachelor's or higher in Electrical Engineering, Computer Science, or related fieldsBachelor's or higher in Audio Engineering, Acoustics, or related fields
Work EnvironmentSoftware development, algorithm design, data analysisAudio analysis, sound engineering, music technology
Industry UsageTelecommunications, radar, biomedical devicesMusic production, broadcasting, sound design
Common Search/ComparisonYesYes

Remote Digital Signal Processing involves designing algorithms for various signals like radar, biomedical data, or communication signals, often requiring strong programming skills. Remote Audio Signal Processing focuses on analyzing and enhancing audio signals for applications like music, broadcasting, or sound design. While both roles require knowledge of signal processing, their industry focus and specific skills differ, making them distinct career paths.

What are the key skills and qualifications needed to thrive as a remote digital signal processing engineer?

To excel as a Remote Digital Signal Processing (DSP) Engineer, you need a solid background in electrical engineering, mathematics, and DSP theory, often supported by a relevant degree. Expertise in tools like MATLAB, Python, Simulink, and familiarity with DSP hardware or software platforms is typically required. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These competencies are essential to design, analyze, and implement efficient digital signal processing solutions in a distributed work environment.

What is a remote digital signal processing job?

A Remote Digital Signal Processing (DSP) job involves analyzing, modifying, and interpreting digital signals such as audio, video, or sensor data using algorithms and mathematical techniques, all while working from a remote location. DSP professionals typically design and implement software or firmware that processes these signals for applications in telecommunications, audio engineering, biomedical devices, and more. Working remotely, they collaborate with teams using online tools, develop code, test systems, and solve engineering problems without needing to be on-site. This role requires strong analytical skills, proficiency in programming languages like MATLAB or Python, and knowledge of signal processing theory.
What are the most commonly searched types of Digital Signal Processing jobs in California? The most popular types of Digital Signal Processing jobs in California are:
What job categories do people searching Remote Digital Signal Processing jobs in California look for? The top searched job categories for Remote Digital Signal Processing jobs in California are:
What cities in California are hiring for Remote Digital Signal Processing jobs? Cities in California with the most Remote Digital Signal Processing job openings:

Senior Systems Engineer, Cameras/Imaging [Remote]

DigitalFish, Inc

Sunnyvale, CA โ€ข On-site, Remote

$145K - $170K/yr

Full-time

Medical, Dental, Vision, Life

Re-posted 5 days ago


Job description

Our mission at DigitalFish is to help our customers derive transformative value across their organizations by building next-generation technologies that define the future of digital-media creation and consumption for millions of users.
We have partnered with leading digital media companies, and are at the center of their efforts to build a new generation of platforms and experiences. Current and past customers include Apple, Google, Meta, Disney, DreamWorks, Activision, Technicolor, ESPN, LEGO, NASA and many others.
THE ROLE
As part of a small and dynamic team, you'll play a pivotal role in advancing imaging technology for camera capture while developing end-to-end high fidelity, high accuracy, and photo reality camera simulator. The scope of these projects will encompass collaborating with camera architects and other teams such as systems, optics, algorithm development and IQ team, to execute, validate and improve camera simulation for purposes like architecture validation and component down selection.
WHAT YOU'LL DO
  • Develop, validate, and execute state-of-the-art imaging software simulation tools to enable novel camera HW explorations, machine learning dataset generation, and product architecture tasks for consumer products
  • Investigate latest imaging simulation methods (e.g. ISET, ZEMAX, non-sequential ray tracing) to enable realistic simulation of real camera behavior for architecture, algorithms, and image quality development for consumer mobile products
  • Experiment and data collection to validate simulator accuracy and to improve simulator modeling capability and efficiency
  • Build and bring up lab setups for image data acquisition of camera prototypes to support camera design studies. Operate, calibrate, and perform routine maintenance of lab equipment
  • Develop and document camera test methodologies to support 2D/3D camera system performance analysis
  • Develop and debug test scripts for image data collection automation
  • Processing, analysis and organizing measurement data; presentation of initial analysis
  • Drive supplier interaction and management to deliver camera prototypes in support of concept demonstrations

WHO YOU ARE
  • MS/PhD degree in Computer Science, Imaging Science, Image Processing, Computer Vision, or related fields
  • Knowledge of image formation process (spectrum, optics/aberrations, PSF, sensor noise, Fourier theory, sampling/aliasing) needed to successfully model and simulate complex imaging phenomena
  • Experience and knowledge in developing and tuning Image Signal Processing (ISP) pipeline
  • Experiences in image quality testing of camera systems and familiar with image quality metrics and analysis
  • Experience coding in languages such as MATLAB, Python, C/C++, preferably CUDA, design code for efficiency, and target different platforms such as GPU, Cloud, and other
  • Experience coding in MATLAB or Python
  • Hands on experience in the development of lab setups for camera system performance study
  • Experiences in camera calibration and modeling of imaging systems
  • Familiar with image sensor, imaging optics, and image processing algorithms
  • Ability to work with minimal direction and managing a project independently from start to finish
  • Proof of eligibility to work in the United States

COMPENSATION & BENEFITS
  • The annual compensation includes equity (per qualifications)
  • The annual salary range for this position is $145,000 to $170,000 plus equity (per qualifications)
  • The base pay offered will take into account internal parity, job-related knowledge, skills, and experience among other factors
  • Health Insurance - Medical, Dental, Vision and Life Insurance
  • Discounts on movie tickets, theme parks, hotels, Broadway and Vegas shows, shopping partners & more
  • Flexible working environment and more!

$145,000 - $170,000 a year
ADDITIONAL INFO
DigitalFish is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined to ensure that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law.
DigitalFish may share your personal information and resume with trusted partners only as necessary to help facilitate your employment journey.
DigitalFish is not able to sponsor immigration petitions for this role at this time.
All applicants must have the right to work in the United States.
We look forward to hearing from you!
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.