1

Signal Processing Engineer Jobs in Austin, TX (NOW HIRING)

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 ...

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 ...

We are engineers, operators, and creatives solving some of the most complex, interdisciplinary ... processes, signal processing. * A data-driven mindset and good communications skills; comfort ...

Mixed-Signal Behavioral Modeling Engineer

Austin, TX · On-site

$79K - $107K/yr

... signal processing and numerical analysis Familiarity with the basics of probability and statistics Minimum Qualifications BS degree in technical discipline with minimum 10 years of relevant ...

Mixed-Signal Behavioral Modeling Engineer

Austin, TX · On-site

$79K - $107K/yr

... Engineer. If you are early in your journey towards a chip design career and wish to challenge ... signal processing and numerical analysis is a plus Basics of probability and statistical basics is ...

Mixed-Signal Behavioral Modeling Engineer

Austin, TX · On-site

$79K - $107K/yr

... Mixed-Signal Behavioral Modeling Engineer. As a member of our dynamic group, you will have the ... processing and numerical analysis Familiarity with the basics of probability and statistics

Signal and Power Integrity Engineer

Austin, TX · On-site

$165K/yr

We are now looking for a Signal & Power Integrity Engineer! NVIDIA has continuously reinvented ... Scripting skills for data post-processing, tool development and/or process automation Ways to stand ...

next page

Showing results 1-20

Signal Processing Engineer information

See Austin, TX salary details

$53K

$130.2K

$191.8K

How much do signal processing engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for signal processing engineer in Austin, TX is $130,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $146,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Signal Processing Engineer, you need a strong background in mathematics, digital signal processing theory, and programming, typically supported by a degree in electrical engineering or a related field. Familiarity with tools such as MATLAB, Python, DSP hardware platforms, and relevant certifications like Certified LabVIEW Developer are highly beneficial. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills in this role. These skills and qualities ensure accurate analysis, efficient design, and successful implementation of signal processing solutions in diverse technical environments.

What is the difference between Signal Processing Engineer vs Communications Engineer?

AspectSignal Processing EngineerCommunications Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Signal Processing, or related fieldsBachelor's or Master's in Electrical Engineering, Communications, or related fields
Work EnvironmentResearch labs, tech companies, R&D departmentsTelecom companies, network providers, infrastructure firms
Industry UsageDesigning algorithms for audio, video, radar, and sensor dataDeveloping and maintaining communication systems and networks
Search & Comparison IntentFocuses on signal analysis, filtering, and data processingFocuses on network design, protocols, and transmission systems

While both roles involve electrical engineering principles, Signal Processing Engineers primarily develop algorithms for analyzing and filtering signals, whereas Communications Engineers focus on designing and maintaining communication systems and networks. The roles often overlap in telecommunications, but their core responsibilities differ based on the specific application and industry focus.

What does a signal processing engineer do?

A signal processing engineer designs and develops algorithms and systems to analyze, interpret, and modify signals such as audio, video, and sensor data. They work with tools like MATLAB and Python, and often focus on improving data quality, noise reduction, and system performance in fields like telecommunications, audio engineering, and radar systems.

What Does a Signal Processing Engineer Do?

A signal processing engineer is an information technologies expert that analyzes and alters digital signals to make them more accurate and reliable. As a signal processing engineer, your responsibilities are to develop, manage and update digital signals, creating algorithms to process them more efficiently. Qualifications for a signal processing engineer include a bachelor’s degree in electrical or computer engineering, math, or physics, and skills in various programming languages, like C++. You can find signal processing engineer jobs in a wide variety of industries from security to logistics.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain aerospace engineering roles can earn $500,000 or more annually, often with extensive experience, advanced skills, and additional compensation like bonuses or stock options. High-level management or executive positions in engineering companies may also reach this salary level.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain electrical or aerospace engineering roles can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership responsibilities. High compensation often involves working in high-demand industries, holding managerial or executive positions, or possessing rare expertise and certifications.

What are some typical challenges Signal Processing Engineers face when working on real-time systems?

Signal Processing Engineers working on real-time systems often encounter challenges related to processing speed, latency, and resource constraints. They must design algorithms that efficiently handle large volumes of data without sacrificing accuracy, all while operating within the hardware's computational limits. Collaborating closely with hardware engineers and software developers is common to ensure seamless integration and optimal system performance. Staying updated with the latest advancements in digital signal processing (DSP) tools and techniques also helps address these challenges effectively.

Will DSP be replaced by AI?

Digital Signal Processing (DSP) is a fundamental skill for Signal Processing Engineers, involving the analysis and manipulation of signals. While AI techniques are increasingly integrated into signal processing tasks, DSP skills remain essential for designing efficient algorithms and hardware implementations, and are unlikely to be fully replaced by AI in the near future.
What are the most commonly searched types of Signal Processing Engineer jobs in Austin, TX? The most popular types of Signal Processing Engineer jobs in Austin, TX are:
What are popular job titles related to Signal Processing Engineer jobs in Austin, TX? For Signal Processing Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Signal Processing Engineer jobs in Austin, TX look for? The top searched job categories for Signal Processing Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Signal Processing Engineer jobs? Cities near Austin, TX with the most Signal Processing Engineer job openings:
Signal Processing Engineer

Signal Processing Engineer

Neuralink

Austin, TX

$121K - $230K/yr

Other

Posted 16 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