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Remote Digital Signal Processing Engineer Jobs in California

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Apply signal processing, machine learning, and statistical analysis to decode biosignals. * Develop ... Collaborate with engineering and product teams to integrate the latest research into prototypes and ...

Qualcomm

Signal Integrity Architect

Santa Clara, CA · On-site +1

$196K/yr

Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm Data Center ... Strong knowledge of packaging and PCB technologies, design, and manufacturing processes. * Proven ...

Booz Allen Hamilton, Inc.

Systems Engineer, Mid

San Diego, CA · On-site +1

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience with signal processing * Ability to analyze customer capabilities and develop ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Ceribell, Inc

Director, Systems Engineering (Hybrid)

Sunnyvale, CA · On-site +1

$216K - $283K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Engineering Leadership: Manage, mentor, and actively grow the Electrical, Systems, and embedded ... Hands-on experience with time series signal analysis and digital signal processing (DSP). Must be ...

Care.coach

Lead Machine Learning Engineer

Millbrae, CA · On-site +1

$119K - $156K/yr

Company Description At care.coach, we are pioneering human-in-the-loop digital avatars that support ... Audio signal processing, ASR, NLP, and NLG/dialog for conversational automation * Computer vision ...

Leidos

Software Engineer

San Diego, CA · 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 ...

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All JobsDigital Signal Processing Engineer JobsRemote Digital Signal Processing Engineer JobsRemote Digital Signal Processing Engineer Jobs in California

Remote Digital Signal Processing Engineer information

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

AspectRemote Digital Signal Processing EngineerRemote Audio Signal Processing Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of DSP algorithmsBachelor's or Master's in Audio Engineering, Electrical Engineering, or related fields; expertise in audio processing
Work EnvironmentRemote, often in tech or telecommunications companiesRemote, mainly in music, media, or audio technology companies
Industry UsageTelecommunications, defense, consumer electronicsMusic production, broadcasting, audio hardware/software

The main difference is that Remote Digital Signal Processing Engineers focus on a broad range of signals like radio, radar, or telecommunications, while Remote Audio Signal Processing Engineers specialize in audio signals for music, media, and broadcasting. Both roles require strong DSP knowledge and often work remotely in tech-driven industries.

What are some common challenges faced by remote digital signal processing engineers and how can they be addressed?

Remote Digital Signal Processing (DSP) Engineers often face challenges such as effective real-time collaboration with cross-functional teams, accessing specialized hardware for testing, and managing complex project documentation. To address these, many teams use collaborative platforms for code reviews, version control, and communication, as well as remote access to lab equipment or simulation tools. Proactive communication and clear documentation are essential for staying aligned with team goals and timelines, enabling remote DSP engineers to contribute effectively despite geographical distance.

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

To thrive as a Remote Digital Signal Processing (DSP) Engineer, you need a solid background in electrical engineering, mathematics, and DSP theory, often supported by a bachelor's or master's degree in a related field. Familiarity with tools such as MATLAB, Python, C/C++, and DSP development environments, as well as experience with relevant certifications, is essential. Strong problem-solving abilities, self-motivation, and effective remote communication are standout soft skills for this role. These skills ensure accurate signal analysis, efficient project delivery, and seamless collaboration with distributed engineering teams.

What is a remote digital signal processing engineer?

A Remote Digital Signal Processing (DSP) Engineer is a professional who designs, develops, and implements algorithms and systems for processing digital signals such as audio, video, radar, or sensor data, while working from a remote location. They use mathematical and computational techniques to analyze and manipulate signals to achieve desired outcomes, such as noise reduction, data compression, or feature extraction. Remote DSP Engineers typically collaborate with teams using digital tools, contribute to product development, and may work in industries such as telecommunications, audio engineering, medical imaging, or defense. Their role often involves programming, simulation, and testing of algorithms using languages like MATLAB, Python, or C/C++.
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 Remote Digital Signal Processing Engineer jobs in California? For Remote Digital Signal Processing Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Digital Signal Processing Engineer jobs in California look for? The top searched job categories for Remote Digital Signal Processing Engineer jobs in California are:
What cities in California are hiring for Remote Digital Signal Processing Engineer jobs? Cities in California with the most Remote Digital Signal Processing Engineer job openings:
Remote Digital Signal Processing Engineer jobs near you
Infographic showing various Remote Digital Signal Processing Engineer job openings in California as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% Remote job distribution.

Principal Data Processing Engineer-OSS

Datapelago

Mountain View, CA • On-site, Remote

Full-time

Re-posted 27 days ago

Job description

Principal Data Processing Engineer - OSS
Mountain View, CA


About DataPelago:

DataPelago is at the forefront of revolutionizing data processing for traditional analytics and cutting-edge GenAI preprocessing. We are building an innovative data processing engine that is transforming how Apache Spark, Apache Flink, Ray, and others operate on diverse, large-scale data. Our team of engineers drive and adopt advances in hardware-accelerated computing, parallel processing of large-scale data, query optimization, distributed systems, compilers, machine learning, and cloud-native computing. We are looking for world-class engineers to join our team and shape the future of accelerated data processing.

The Role:

As a Principal Data Processing Engineer (OSS), you will be a key individual contributor in
adopting and advancing the capabilities of open-source software (OSS) platforms such as Apache

Gluten, Velox, Apache Spark, and Apache Flink in the context of DataPelago's data processing engine. You will enhance the functional breadth, performance, scale, and reliability of the DataPelago engine through downstream and upstream contributions. You will have the opportunity to engage with the community working on these platforms. This is a unique opportunity to make a significant impact on a category-defining product and work with a talented team of engineers.

What You'll Do:

  • Influence the architecture of how our data processing engine interfaces with open-source platforms and engines.
  • Lead the design of functional and performance enhancements to open source platforms such as Apache Gluten and Velox, and their integration with our data processing engine.
  • Individually design, implement, test, optimize, and maintain components of the data processing engine.
  • Analyze the technology roadmap of Apache Gluten, Velox, and equivalent platforms and identify opportunities for our engine to enhance technology and product leadership.
  • Collaboration: Partner with engineering, product management, the open-source community and customer success teams.
  • Foster best practices in design and code reviews, testing, CI/CD, and issue resolution to maintain the highest product quality, security, efficiency, and productivity.

What You'll Bring:

  • BS/MS in Computer Science (or a related field) with 6+ years of relevant experience
  • 3+ years of deep technical experience in instrumenting, analyzing, and optimizing the performance of data processing engine components on benchmark and customer workloads.
  • Sound knowledge of the architecture and internal operation of one or more of Apache Spark,
    Apache Flink, Presto/Trino.
  • Demonstrated experience in the design, development, and successful release of high-performance data processing engines for large production deployments.
  • Exceptional programming skills in C, C++, and Java.
  • Extensive development experience in Linux environments.
  • Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
  • Strong analytical and problem-solving skills with a passion for performance optimization.

Location Considerations:

We value face-to-face collaboration, but recognize that talent can be found anywhere. Our engineering team works at our headquarters in Mountain View, CA, at our India office in Hyderabad, and at remote locations.

Why Join DataPelago?

  • Technical Leadership: Take a leadership role in shaping the architecture and development of how our core engine works with open source data processing platforms
  • Cutting-Edge Innovation: Work on challenging problems at the forefront of accelerated
    computing and data processing.
  • Significant Impact: Your contributions will directly impact the performance and scalability of our mission-critical platform.
  • Mentorship and Growth: Mentor and guide other talented engineers while expanding your own technical expertise.
  • Competitive compensation, stock options, comprehensive benefits package, and leadership development opportunities

Apply