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Digital Signal Processing Engineer Jobs in Texas

Neuralink

Signal Processing Engineer

Austin, TX

$121K - $230K/yr

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 ...

Neuralink

Signal Processing Engineer

Austin, TX · On-site

$121K - $230K/yr

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 ...

HawkEye 360

Signal Processing Engineer - ISA

Richardson, TX · On-site

$130K - $175K/yr

Digital signal processing: FFTs, FIR and IIR filtering, spectral estimation, quantization, etc ... Electrical Engineering, Computer Science, Computer Engineering, Physics, Mathematics * Experience ...

Cymertek

Signals Software Engineer

San Antonio, TX

Signals Software Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this ... Strong understanding of digital signal processing (DSP) concepts * Experience with signal analysis ...

Cymertek

Signals Software Engineer

San Antonio, TX · On-site

Signals Software Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... Strong understanding of digital signal processing (DSP) concepts * Experience with signal analysis ...

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Digital Signal Processing Engineer information

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$49.8K

$122.4K

$180.3K

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

As of Jun 13, 2026, the average yearly pay for digital signal processing engineer in Texas is $122,372.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $137,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Digital Signal Processing Engineer, and why are they important?

To thrive as a Digital Signal Processing (DSP) Engineer, you need a strong background in mathematics, signal processing theory, and proficiency in programming languages like MATLAB, C/C++, or Python, often supported by a degree in electrical engineering or a related field. Familiarity with DSP hardware, simulation tools, and platforms like FPGA or DSP processors is typically required, and certifications in embedded systems or signal processing are advantageous. Problem-solving ability, analytical thinking, and effective teamwork set candidates apart in this field. These skills are crucial for designing, implementing, and optimizing algorithms that process digital signals accurately and efficiently in various applications.

What is the difference between Digital Signal Processing Engineer vs Electrical Engineer?

AspectDigital Signal Processing EngineerElectrical Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Signal Processing, or related fieldsBachelor's or Master's in Electrical Engineering or related fields
Work EnvironmentResearch labs, tech companies, telecommunications firmsPower plants, manufacturing, electronics design
Industry UsageSignal processing, communications, audio/video techPower systems, electronics, control systems
Common Search IntentComparing roles in signal processing and electronicsBroader electrical engineering roles

The Digital Signal Processing Engineer specializes in designing algorithms and systems for processing digital signals, often within communications, audio, and video applications. Electrical Engineers have a broader scope, working on electrical systems, power, and electronics across various industries. While both roles require similar educational backgrounds, their focus areas and work environments differ significantly.

What does a Digital Signal Processing Engineer do?

A Digital Signal Processing (DSP) Engineer designs, develops, and implements algorithms and systems that manipulate and analyze signals such as audio, video, and sensor data. They work on both hardware and software to improve signal quality, extract useful information, or compress data for efficient storage and transmission. DSP Engineers are essential in industries like telecommunications, audio engineering, medical imaging, and consumer electronics, where they help create products such as smartphones, hearing aids, and radar systems.

What are some common challenges Digital Signal Processing Engineers face when integrating new algorithms into existing systems?

Digital Signal Processing Engineers often encounter challenges such as ensuring compatibility between new algorithms and legacy hardware or software, maintaining real-time processing requirements, and optimizing for limited computational resources. Debugging and validating algorithm performance under various signal conditions can also be complex, requiring collaboration with hardware engineers and extensive testing. Effective communication with cross-functional teams is essential to address integration issues and achieve system-wide functionality.
What are the most commonly searched types of Digital Signal Processing Engineer jobs in Texas? The most popular types of Digital Signal Processing Engineer jobs in Texas are:
What are popular job titles related to Digital Signal Processing Engineer jobs in Texas? For Digital Signal Processing Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Digital Signal Processing Engineer jobs in Texas look for? The top searched job categories for Digital Signal Processing Engineer jobs in Texas are:
What cities in Texas are hiring for Digital Signal Processing Engineer jobs? Cities in Texas with the most Digital Signal Processing Engineer job openings:
Digital Signal Processing Engineer jobs near you
Infographic showing various Digital Signal Processing Engineer job openings in Texas as of June 2026, with employment types broken down into 81% Full Time, 16% Part Time, 2% Temporary, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $122,372 per year, or $58.8 per hour.
Signal Processing Engineer

Signal Processing Engineer

Neuralink

Austin, TX

$121K - $230K/yr

Other

Posted 13 days 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

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