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Cypress HCM

5G Algorithm Engineer

Redwood City, CA · On-site +1

Remote USA Employees : Industry : Wireless services Position Reporting To: Algorithm Engineering ... In this position, you will be at the forefront designing and refining advanced signal processing ...

The Pennsylvania State University

Signal Processing, Tactical and Autonomous Processing, Applications Software, and Embedded Software ... remote locations in support of testing as part of a small team of researchers, engineers, and ...

The Pennsylvania State University

Signal Processing, Tactical and Autonomous Processing, Applications Software, and Embedded Software ... remote locations in support of testing as part of a small team of researchers, engineers, and ...

The Pennsylvania State University

$14.75 - $19.75/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Knowledge of signal processing a plus * Ability to take data in an organized fashion and write a ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Modelling vehicle dynamics, signal processing, sound propagation, undersea acoustics, reverberation ...

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Remote Signal Processing information

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$53.5K

$131.3K

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How much do remote signal processing jobs pay per year?

As of Jun 25, 2026, the average yearly pay for remote 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 are the key skills and qualifications needed to thrive as a Remote Signal Processing Engineer, and why are they important?

To thrive as a Remote Signal Processing Engineer, you need a strong background in electrical engineering, mathematics, and digital signal processing (DSP), usually backed by a relevant degree. Familiarity with software tools such as MATLAB, Python, and DSP libraries, as well as knowledge of remote communication protocols, is typically required. Excellent problem-solving abilities, independent work ethic, and effective remote communication skills help set top performers apart. These skills ensure accurate data analysis, efficient collaboration, and the successful development and deployment of signal processing solutions in distributed work environments.

What is remote signal processing?

Remote signal processing involves analyzing and interpreting signals, such as audio, video, or sensor data, from a distance using digital tools and algorithms. Professionals in this field work remotely to develop and implement software solutions that process various types of signals for applications like telecommunications, medical imaging, and radar systems. This job typically requires expertise in signal processing theory, programming, and sometimes machine learning, all of which can be done from a remote location using specialized software and collaborative tools.

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

One common challenge in remote signal processing roles is ensuring reliable data transmission and synchronization when working with distributed or cloud-based systems. Professionals often need to address latency, bandwidth limitations, and data integrity issues, especially when collaborating with geographically dispersed teams. Effective communication, robust data validation protocols, and leveraging version control tools can help mitigate these challenges. Additionally, staying updated with the latest remote collaboration technologies and workflow management tools can streamline project progress and enhance team productivity.
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Remote Signal Processing jobs near you

Principal 5G Location Algorithm Engineer

evrecruit.io

San Francisco, CA • On-site, Remote

Full-time

Posted 23 days ago

Job description

Principal 5G Location Algorithms Engineer

Location: Bay Area - remote flexible

Compensation: Competitive Base/Equity mix

Our SF Bay Area client is seeking brilliant, innovative minds to advance the core algorithms behind its industry-leading positioning platform. As a Principal 5G Location Algorithms Engineer, you will design, implement, and optimize advanced signal processing and location estimation algorithms to determine the real-time position of devices in the physical world. You will play a foundational role in shaping this successful IP portfolio and future product capabilities, while working closely with cross-functional teams to test, refine, and scale your innovations. This employee-centric company, founded by a group of Stanford grads and backed by leading Silicon Valley investors, is well run and has staying power for its employees. There are multiple remote opportunities and provides a strong market base with equity.

JOB RESPONSIBILITIES

  • Define and implement algorithms to extract precise fine-timing and spatial information from noisy 5G signals.
  • Identify, document, and prototype improvements to current location estimation techniques and adapt them to new industry standards.
  • Contribute novel techniques to the companies' growing patent and intellectual property portfolio.
  • Prototype and test signal processing algorithms in MATLAB and Python.
  • Collaborate with software developers to facilitate the implementation and integration of signal processing algorithms.

MUST HAVE ATTRIBUTES/SKILLS

  • PhD in Electrical Engineering or Applied Mathematics, or equivalent research experience, with a focus on radiolocation or radionavigation.
  • Familiarity with OFDM and Zadoff-Chu sequences and Integrated, & Sensing and Communications (ISAC)
  • Experience with parameter estimation on radio signals

Solid understanding of time-based location techniques

  • Demonstrated programming experience in MATLAB and Python.
  • Team-oriented mindset with a respectful, collaborative approach suited to a fast-paced
  • startup environment.

SHOULD HAVE ATTRIBUTES/SKILLS

  • Proficiency with Linux command-line tools and a Linux-based development environment.
  • Familiarity with the radio physical layer
  • Demonstrated programming experience in C.
  • Experience with cellular networks and radios.
  • Experience with cellular network planning, drive testing, and propagation models.
  • Experience in signals intelligence (SIGINT), electronic warfare, GPS/GNSS, or radar systems.
  • Familiarity with the Erlang programming language.