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Electrical Engineering Signal Processing Jobs (NOW HIRING)

Education : BS, MS or PhD in Electrical Engineering, Computer Engineering, Signal Processing, or a related field. * Experience : 3+ years in digital signal processing algorithm development or real ...

Signal Processing Engineer

Austin, TX · On-site

$121K - $230.50K/yr

Education : BS, MS or PhD in Electrical Engineering, Computer Engineering, Signal Processing, or a related field. * Experience : 3+ years in digital signal processing algorithm development or real ...

Basic Qualifications: * BS or MS in Electrical Engineering, Computer Science, Physics, or a related technical field. * 3+ years of hands-on experience in digital signal processing. * Demonstrated ...

Job#: 3034865 Signal Processing Engineer Location: Atlanta, Georgia Employment Type: Contract to ... A Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, Mathematics, or a ...

Signal Processing Engineer

Redwood City, CA · On-site

$150K - $300K/yr

Basic Qualifications: * BS or MS in Electrical Engineering, Computer Science, Physics, or a related technical field. * 3+ years of hands-on experience in digital signal processing. * Demonstrated ...

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Electrical Engineering, Computer Science ... Telecommunications Engineering, Physics, Signal Processing, etc. ALTERNATE EXPERIENCE General ...

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Electrical Engineering, Computer Science ... Telecommunications Engineering, Physics, Signal Processing, etc. ALTERNATE EXPERIENCE General ...

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Electrical Engineering Signal Processing information

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$50.5K

$111.1K

$168K

How much do electrical engineering signal processing jobs pay per year?

As of May 31, 2026, the average yearly pay for electrical engineering signal processing in the United States is $111,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $132,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Electrical Engineering Signal Processing professional, and why are they important?

To thrive in Electrical Engineering Signal Processing, you need a solid background in mathematics, signal theory, and electrical engineering, typically with a bachelor's or master's degree in electrical engineering or a related field. Familiarity with tools like MATLAB, Simulink, Python, and signal processing libraries, as well as relevant certifications, is highly beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills help you excel in collaborative and research-driven environments. These competencies are essential for designing, analyzing, and optimizing signal processing systems that drive advancements in communications, audio, imaging, and control technologies.

What are some common challenges faced by electrical engineers specializing in signal processing, and how can they be addressed?

Electrical engineers in signal processing often encounter challenges such as handling large volumes of data, minimizing signal distortion, and adapting algorithms for real-time processing. To address these, staying current with the latest digital signal processing (DSP) tools and techniques is essential. Collaboration with multidisciplinary teams, such as software developers and hardware designers, helps in optimizing solutions and troubleshooting integration issues. Continuous learning and hands-on practice with simulation software can also make complex problems more manageable.

What is electrical engineering signal processing?

Electrical engineering signal processing is a specialized field within electrical engineering focused on analyzing, modifying, and synthesizing signals such as sound, images, and scientific measurements. Signal processing techniques are used to extract useful information, improve signal quality, or compress data for storage and transmission. Professionals in this area work with both analog and digital signals, applying mathematical algorithms and computer-based methods to process real-world data. Applications include telecommunications, audio and video technology, radar systems, and biomedical engineering.

What is the difference between Electrical Engineering Signal Processing vs Electrical Engineering Communications?

AspectElectrical Engineering Signal ProcessingElectrical Engineering Communications
Required CredentialsBachelor's or Master's in Electrical Engineering, certifications in signal processingBachelor's or Master's in Electrical Engineering, certifications in communications systems
Work EnvironmentResearch labs, tech companies, manufacturingTelecom companies, network providers, broadcast industries
Industry UsageAnalyzing and processing signals, data filtering, image/audio processingDesigning and managing communication systems, wireless networks

Electrical Engineering Signal Processing focuses on analyzing and manipulating signals for various applications, while Electrical Engineering Communications centers on designing and maintaining communication systems. Both roles share similar educational backgrounds but differ in their specific industry applications and daily tasks.

Infographic showing various Electrical Engineering Signal Processing job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 8% Part Time, 1% Temporary, and 6% Contract. Highlights an 92% Physical, 6% Hybrid, and 2% Remote job distribution, with an average salary of $111,091 per year, or $53.4 per hour.
Signal Processing Engineer

Signal Processing Engineer

Neuralink

Austin, TX

$121K - $230.50K/yr

Other

Posted 10 hours ago


Job description

Job Summary

We are seeking a talented Signal Processing Engineer to design, develop, and optimize advanced digital signal processing (DSP) algorithms for on-chip and embedded implementation. In this role, you will create efficient, hardware-friendly algorithms that run directly on custom SoCs, enabling real-time processing with constraints on power, latency, area, and throughput. You will collaborate closely with the SoC, Firmware, and Machine Learning teams to translate high-level signal processing needs into production-ready solutions.

Key Responsibilities
  • Design and develop signal processing algorithms for sensing neural activity in the cortex (e.g. spike detection), monitoring cortical electrode health, and more.
  • Design and develop numerical algorithms, such as custom data compression to increase radio throughput.
  • Develop fixed-point or quantized versions of algorithms optimized for constrained hardware.
  • Implement and verify algorithms in high-level languages and transition them to hardware-friendly representations.
  • Perform algorithm-to-architecture mapping: analyze trade-offs between accuracy, latency, power, and resource utilization on the SoCs.
  • Collaborate with the digital design team to define micro-architectures for custom on-chip processing pipelines, including dataflow, pipelining, and parallelization.
Required Qualifications
  • Education: BS, MS or PhD in Electrical Engineering, Computer Engineering, Signal Processing, or a related field.
  • Experience: 3+ years in digital signal processing algorithm development or real-world products, with a focus on embedded or hardware-constrained implementations.
  • Fluent in signal processing fundamentals (both analog and digital) and strong numerical capabilities.
  • Familiarity with fixed-point arithmetic, quantization effects, and numerical precision trade-offs.
  • Proficiency in Python and C for algorithm prototyping and simulation.
Preferred Qualifications
  • Hands-on experience with Verilog/VHDL, or transitioning algorithms to RTL.
  • Experience with dedicated DSP cores or accelerators.
  • Track record of optimizing for power/area/latency in resource-constrained environments.

Expected Compensation:

The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.

Base Salary Range:

 $121,000 - $230,500