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Signal Processing Jobs in Texas (NOW HIRING)

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 ...

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Signal Processing information

See Texas salary details

$49.8K

$122.4K

$180.3K

How much do signal processing jobs pay per year?

As of Jun 20, 2026, the average yearly pay for signal processing 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 in the Signal Processing position, and why are they important?

To thrive in Signal Processing, a strong background in mathematics, digital signal processing algorithms, and relevant engineering or computer science degrees is essential. Familiarity with tools such as MATLAB, Python, LabVIEW, and industry-standard DSP hardware platforms, as well as certifications in signal processing or related fields, is often required. Sharp analytical thinking, attention to detail, and effective teamwork and communication skills are highly valued. These competencies enable professionals to design, analyze, and optimize systems that process real-world signals efficiently and accurately.

What is a Signal Processing job?

A Signal Processing job involves analyzing, modifying, and interpreting signals, such as audio, video, sensor data, or electromagnetic waves, to extract useful information or improve their quality. Professionals in this field apply mathematical and algorithmic techniques to filter noise, compress data, and enhance signal clarity. They work in industries like telecommunications, medical imaging, audio processing, and radar systems. Typical tasks may include designing filters, implementing machine learning models for pattern recognition, and optimizing digital communication systems. Knowledge of programming languages like MATLAB or Python and expertise in digital signal processing (DSP) techniques are often required.

Is DSP difficult?

Signal processing jobs that involve digital signal processing (DSP) typically require a strong understanding of mathematics, algorithms, and programming skills in languages like MATLAB or Python. While challenging, the difficulty depends on the complexity of the projects and the individual's background in engineering or related fields. Gaining proficiency often involves coursework, hands-on experience, and familiarity with tools such as DSP chips or software environments.

What engineers make $500,000?

Senior engineers in specialized fields such as software, aerospace, or electrical engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves bonuses, stock options, or profit sharing, particularly in large tech companies or industries with high demand for technical expertise.

Is ML a high paying job?

Machine learning (ML) roles, including those in signal processing, are generally well-paid due to the high demand for specialized skills such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but advanced positions often offer competitive compensation compared to other engineering fields.

What do you do in signal processing?

In signal processing, a professional analyzes, modifies, and interprets signals such as audio, video, or sensor data to improve quality, extract information, or prepare data for further use. This involves using algorithms, mathematical techniques, and tools like MATLAB or Python to filter noise, enhance signals, and develop systems for communication, imaging, or data analysis.

What are some common career paths for professionals in Signal Processing?

Signal Processing professionals often start as engineers or analysts, working on tasks like algorithm development, filtering, and noise reduction in applications such as telecommunications, audio, or radar systems. With experience, individuals can progress to roles such as senior engineer, project lead, or research scientist, and may branch into areas like embedded systems, machine learning, or systems architecture. The field frequently offers opportunities to collaborate closely with cross-functional teams including hardware engineers, software developers, and data scientists. Advancing your education, obtaining specialized certifications, or gaining expertise in emerging technologies can further enhance your career prospects in this dynamic and evolving discipline.

What are the most commonly searched types of Signal Processing jobs in Texas? The most popular types of Signal Processing jobs in Texas are:
What are popular job titles related to Signal Processing jobs in Texas? For Signal Processing jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Signal Processing jobs in Texas look for? The top searched job categories for Signal Processing jobs in Texas are:
What cities in Texas are hiring for Signal Processing jobs? Cities in Texas with the most Signal Processing job openings:
Signal Processing jobs near you
Signal Processing Engineer

Signal Processing Engineer

Neuralink

Austin, TX

$121K - $230K/yr

Other

Posted 20 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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