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Remote Digital Signal Processing Engineer Jobs in Pasadena, CA

YO AI Labs

AI Software Engineer - Remote

Los Angeles, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Hiring Process * Submit an application and screening questions. * Complete an AI interview (~30 ...

YO AI Labs

AI/ML Engineer - Remote

Los Angeles, CA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Experience building data pipelines, ETL processes, metadata catalogs, and ontologies . * Strong ...

YO AI Labs

CUDA Developer - Remote

Los Angeles, CA · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Document optimization processes, findings, and performance improvements. * Contribute to GPU ...

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All JobsDigital Signal Processing Engineer JobsRemote Digital Signal Processing Engineer JobsRemote Digital Signal Processing Engineer Jobs in Pasadena, CA

Remote Digital Signal Processing Engineer information

See Pasadena, CA salary details

$58.4K

$143.3K

$211.1K

How much do remote digital signal processing engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote digital signal processing engineer in Pasadena, CA is $143,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $160,900.00 per year, depending on experience, location, and employer.

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 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 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 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 popular job titles related to Remote Digital Signal Processing Engineer jobs in Pasadena, CA?

For Remote Digital Signal Processing Engineer jobs in Pasadena, CA, the most frequently searched job titles are:

What job categories do people searching Remote Digital Signal Processing Engineer jobs in Pasadena, CA look for?

The top searched job categories for Remote Digital Signal Processing Engineer jobs in Pasadena, CA are:

What cities near Pasadena, CA are hiring for Remote Digital Signal Processing Engineer jobs?

Cities near Pasadena, CA 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 Pasadena, CA as of August 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 100% Remote job distribution, with an average salary of $143,276 per year, or $68.9 per hour.

RL Environment Engineer - Remote

YO AI Labs

Los Angeles, CA • Remote

$80 - $120/hr

Full-time

Posted 7 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.