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

Neuralink

Signal Processing Engineer

Austin, TX · On-site

$121K - $230K/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 ...

Neuralink

Signal Processing Engineer

Austin, TX · On-site

$121K - $230K/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 ...

Nvidia

Signal and Power Integrity Engineer

Austin, TX · On-site

$165K/yr

MS and/or PhD in Electrical and Computer Engineering (or equivalent experience) with minimum 2 ... Scripting skills for data post-processing, tool development and/or process automation Ways to stand ...

Atom Computing

Senior ASIC Design Engineer

Austin, TX · On-site

$140K - $175K/yr

Atom Computing is seeking a Senior ASIC Designer to design and develop a digital signal processing ... MS or PhD in Electrical Engineering, or related field. * 5+ years of post-degree experience as a ...

Atom Computing

Senior ASIC Design Engineer

Austin, TX · On-site

$140K - $175K/yr

Atom Computing is seeking a Senior ASIC Designer to design and develop a digital signal processing ... MS or PhD in Electrical Engineering, or related field. * 5+ years of post-degree experience as a ...

Atom Computing

Senior ASIC Design Engineer

Austin, TX · On-site

$140K - $175K/yr

Atom Computing is seeking a Senior ASIC Designer to design and develop a digital signal processing ... MS or PhD in Electrical Engineering, or related field. * 5+ years of post-degree experience as a ...

Apple

Analog ASIC Architect

Austin, TX · On-site

... signal processing pipeline, and system-level performance targets that guide the full IC development ... PhD in Electrical Engineering

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All JobsPhd Signal Processing JobsPhd Signal Processing Jobs in Austin, TX

Phd Signal Processing information

See Austin, TX salary details

$53K

$130.2K

$191.8K

How much do phd signal processing jobs pay per year?

As of Aug 22, 2026, the average yearly pay for phd signal processing 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 is a PhD signal processing professional?

PhD Signal Processing professionals are experts who have earned a Doctor of Philosophy (PhD) in the field of signal processing, which involves analyzing, modifying, and interpreting signals such as sound, images, and scientific measurements. They apply advanced mathematical and computational techniques to extract meaningful information from complex data. These specialists often work in research, academia, telecommunications, medical imaging, audio engineering, and other industries that require sophisticated data analysis. Their work is crucial in developing technologies like speech recognition, radar systems, and biomedical devices.

What are the key skills and qualifications needed to thrive as a PhD signal processing specialist?

To thrive as a PhD Signal Processing specialist, you need deep expertise in mathematics, statistical analysis, and advanced signal processing algorithms, underpinned by a doctoral degree in electrical engineering or a related field. Proficiency in MATLAB, Python, C++, and experience with simulation tools and machine learning frameworks are commonly required, along with publications or research experience. Strong analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are vital for designing innovative solutions, advancing research, and conveying complex findings to both technical and non-technical stakeholders.

What are some common challenges faced by professionals in PhD-level signal processing roles and how can they be addressed?

PhD-level Signal Processing professionals often encounter challenges such as managing large, complex datasets and developing novel algorithms that balance accuracy and computational efficiency. Staying current with rapidly evolving technologies and research can also be demanding. These challenges are typically addressed through ongoing professional development, collaboration with multidisciplinary teams, and leveraging advanced computational tools. Regularly participating in conferences, workshops, and peer discussions can also help professionals overcome research hurdles and stay innovative in their field.

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

AspectPhd Signal ProcessingSignal Processing Engineer
Required CredentialsPhD in Signal Processing or related fieldBachelor's or Master's in Electrical Engineering, Computer Science, or related field
Work EnvironmentResearch labs, academia, R&D departmentsIndustry, technology companies, product development
Employer & Industry UsageUniversities, research institutions, some tech companiesTech firms, telecommunications, aerospace, defense
Common Search & ComparisonYesYes

The main difference between Phd Signal Processing and Signal Processing Engineer lies in their focus and credentials. A PhD typically involves advanced research, theoretical work, and academic or R&D roles, while a Signal Processing Engineer applies practical skills in industry to develop and implement signal processing solutions. Both roles require knowledge of signal processing concepts, but their work environments and career paths differ significantly.

Is a PhD worth it in electrical engineering?

A PhD in electrical engineering, including signal processing, can lead to advanced research, academic positions, and specialized roles in industry. It typically requires several years of study and research, but can result in higher earning potential and expertise in areas like algorithms, hardware, and data analysis.

Is signal processing in demand?

Signal processing is in high demand across industries such as telecommunications, aerospace, healthcare, and defense, especially for roles involving data analysis, algorithm development, and system design. Professionals with expertise in digital signal processing, machine learning, and programming tools like MATLAB or Python are sought after as technology advances and data-driven solutions expand.

What are popular job titles related to Phd Signal Processing jobs in Austin, TX?

For Phd Signal Processing jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Phd Signal Processing jobs in Austin, TX look for?

The top searched job categories for Phd Signal Processing jobs in Austin, TX are:

What cities near Austin, TX are hiring for Phd Signal Processing jobs?

Cities near Austin, TX with the most Phd Signal Processing job openings:

Phd Signal Processing jobs near you
Infographic showing various Phd Signal Processing job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $130,194 per year, or $62.6 per hour.

Signal Processing Engineer

Neuralink

Austin, TX • On-site

$121K - $230K/yr

Full-time

Re-posted 23 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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