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Phd Signal Processing Jobs in Texas (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 ...

STR

Lead Signal Processing Researcher

Arlington, TX · On-site

$173K - $216K/yr

About the Role As a Lead Signal Processing Researcher, you will create and lead technical teams ... PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical ...

Nvidia

Signal and Power Integrity Engineer

Austin, TX

$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 ...

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Phd Signal Processing information

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data science, or certain executive roles can earn $500,000 or more annually. These positions often require advanced skills, leadership responsibilities, and work in high-demand industries or companies with competitive compensation packages.

What are PhD Signal Processing professionals?

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 can I do with a PhD in radiology?

A PhD in radiology prepares individuals for research, development, and academic roles focused on medical imaging technologies such as MRI, CT, and ultrasound. Graduates often work in universities, research institutions, or industry settings, utilizing skills in signal processing, image analysis, and data interpretation to advance diagnostic methods and imaging software. Additional certifications or collaborations with clinical professionals may be required for clinical applications.

Is signal processing in demand?

Signal processing is in high demand across industries such as telecommunications, aerospace, healthcare, and defense, where expertise in algorithms, data analysis, and software tools like MATLAB or Python is valued. Professionals with a PhD in signal processing are often sought for research, development, and advanced system design roles, especially in areas like sensor data analysis and machine learning integration.

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

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 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.

Will DSP be replaced by AI?

Digital Signal Processing (DSP) is a fundamental skill for signal processing professionals, including those with a PhD in the field. While AI and machine learning techniques are increasingly integrated into signal analysis, they complement rather than replace traditional DSP methods, which remain essential for real-time processing and system design. Signal processing roles often require expertise in both DSP algorithms and AI tools to develop advanced solutions.
What are popular job titles related to Phd Signal Processing jobs in Texas? For Phd Signal Processing jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Phd Signal Processing jobs in Texas look for? The top searched job categories for Phd Signal Processing jobs in Texas are:
What cities in Texas are hiring for Phd Signal Processing jobs? Cities in Texas with the most Phd Signal Processing job openings:
Phd Signal Processing jobs near you
Signal Processing Engineer

Signal Processing Engineer

Neuralink

Austin, TX • On-site

$121K - $230K/yr

Other

Re-posted 11 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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