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

SpaceX

Sr. Antenna Engineer (Starlink)

Bastrop, TX · On-site

$103K - $142K/yr

Work in close collaboration with electrical, mechanical, digital signal processing, and software ... Master's degree or PhD in electrical engineering with emphasis in RF/antenna engineering

Apple

Analog ASIC Architect

Austin, TX

$184K - $324K/yr

... signal processing pipeline, and system-level performance targets that guide the full IC development ... PhD in Electrical Engineering Minimum Qualifications Experience in analog and mixed-signal ASIC ...

SpaceX

Antenna Engineer (Starlink)

Bastrop, TX · On-site

Work in close collaboration with electrical, mechanical, digital signal processing, and software ... Master's degree or PhD in electrical engineering with emphasis in RF/antenna engineering

Apple

Analog ASIC Architect

Austin, TX

$184K - $324K/yr

... signal processing pipeline, and system-level performance targets that guide the full IC development ... PhD in Electrical Engineering Minimum Qualifications Experience in analog and mixed-signal ASIC ...

Skyworks

Staff Electrical Engineer

Austin, TX · On-site

$114K - $220K/yr

BSEE + 8 years experience, MSEE + 6 years experience, or PhD + 3 years experienceAdvanced knowledge ... Understanding of mixed signal solutions including discrete time digital signal processing

Skyworks

Staff Electrical Engineer

Austin, TX

$114K - $220K/yr

BSEE + 8 years experience, MSEE + 6 years experience, or PhD + 3 years experienceAdvanced knowledge ... Understanding of mixed signal solutions including discrete time digital signal processing

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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 23, 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.

Electro-Optical & Infrared (EO/IR) Engineer

Allen Control Systems

Austin, TX • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 11 days ago

Job description

Company Overview
Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing an autonomous gun turret using advanced computer vision and control systems to precisely detect, track, and neutralize enemy drones.
Position Overview
Allen Control Systems is seeking an experienced Electro-Optical/Infrared (EO/IR) Engineer with Digital Signal Processing (DSP) experience to join our engineering team. In this role, you will apply your expertise in optical and infrared sensor systems and DSP to model and predict sensor performance across a range of operational environments, develop and refine system requirements for current and future EO/IR programs, and contribute to business development activities by supporting the creation of technical proposals and customer-facing presentations. The successful candidate will play a critical role in shaping the technical direction of our EO/IR portfolio and helping the organization win and execute new work.
What You'll Do:
  • Build, validate, and maintain physics-based and empirical models in Python to predict EO/IR sensor performance, including detection, recognition, and identification ranges across visible, NIR, SWIR, MWIR, and LWIR bands.
  • Conduct sensor performance trade studies that account for atmospheric effects, target signatures, background clutter, optical design parameters, detector characteristics, and signal processing chains.
  • Apply advanced DSP techniques to event-based camera data to develop next-generation target detection, tracking, and discrimination algorithms that exploit the high temporal resolution, wide dynamic range, and sparse output of event sensors.
  • Develop, document, and flow down system and subsystem requirements for EO/IR payloads, ensuring traceability from customer needs through hardware and software implementation.
  • Support the full systems engineering lifecycle, including concept development, requirements analysis, architecture definition, verification planning, and integration and test.
  • Contribute to business development efforts by authoring technical sections of proposals, generating performance predictions and supporting analyses, and developing white papers in response to customer needs and solicitations.
  • Prepare and deliver technical presentations to internal stakeholders, customers, and partners, clearly communicating complex sensor performance concepts to both technical and non-technical audiences.
  • Collaborate with cross-functional teams including optical engineers, mechanical and electrical designers, software developers, and program management to ensure technical solutions meet program objectives.
  • Understand and investigate physics-based phenomenology that could aid in target discrimination, including spectral, spatial, temporal, and polarimetric signatures across relevant operating environments.
  • Stay current with emerging EO/IR technologies, threat environments, and modeling tools, and recommend approaches that improve performance, reduce risk, or differentiate the company's offerings.

Required Technical Skills:
  • Bachelor's degree in Physics, Optical Engineering, Electrical Engineering, Aerospace Engineering, or a related technical discipline.
  • Minimum of 10+ years of demonstrated experience with EO/IR sensor performance modeling and analysis, including familiarity with industry-standard tools such as NV-IPM, SSCAMIP, MODTRAN, or equivalent.
  • Demonstrated experience with Digital Signal Processing on EO/IR data.
  • Working knowledge of radiometry, optical system design fundamentals, detector physics, and atmospheric propagation.
  • Experience developing system requirements and supporting requirements management activities.
  • Strong written and verbal communication skills, with the ability to produce clear technical documentation and deliver effective presentations.
  • Proficiency with Python and associated python packages for sensor analysis, DSP and data reduction.

Preferred Technical Skills:
  • Master's degree or PhD in a relevant technical field.
  • Prior experience contributing to government or commercial proposal efforts, including cost, schedule, and technical volume contributions.
  • Background working with airborne, ground-based, or space-based EO/IR systems for ISR, targeting, missile warning, or remote sensing applications.
  • Familiarity with target signature modeling, clutter modeling, and image-based performance assessment techniques.
  • Experience with model-based systems engineering (MBSE) approaches and digital engineering environments.

What We Offer:
  • Competitive salary
  • ACS Equity Package
  • Health, Dental, Vision Insurance
  • Paid Time Off

Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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