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Neural Signal Processing Jobs in Texas (NOW HIRING)

Mythic

Design Verification Engineer

Austin, TX · On-site

$120K - $225K/yr

Our technology powers everything from large language models and CNNs to advanced signal processing ... neural networks will function correctly and efficiently. We welcome engineers at all levels of ...

Mythic

Senior Design Verification Engineer

Austin, TX · On-site

$120K - $225K/yr

Our technology powers everything from large language models and CNNs to advanced signal processing ... neural networks will function correctly and efficiently. We welcome engineers at all levels of ...

Mythic

Senior Design Verification Engineer

Austin, TX · On-site

$120K - $225K/yr

Our technology powers everything from large language models and CNNs to advanced signal processing ... neural networks will function correctly and efficiently. We welcome engineers at all levels of ...

Mythic

Senior Design Verification Engineer

Austin, TX · On-site

$120K - $225K/yr

Our technology powers everything from large language models and CNNs to advanced signal processing ... neural networks will function correctly and efficiently. We welcome engineers at all levels of ...

Mythic

Senior Silicon Emulation Engineer

Austin, TX · On-site

$120K - $225K/yr

Our technology powers everything from large language models and CNNs to advanced signal processing ... analysis of neural network accelerators prior to silicon availability. The engineer will work ...

Mythic

Senior Silicon Emulation Engineer

Austin, TX · On-site

$120K - $225K/yr

Our technology powers everything from large language models and CNNs to advanced signal processing ... analysis of neural network accelerators prior to silicon availability. The engineer will work ...

Mythic

Senior Silicon Emulation Engineer

Austin, TX · On-site

$120K - $225K/yr

Our technology powers everything from large language models and CNNs to advanced signal processing ... analysis of neural network accelerators prior to silicon availability. The engineer will work ...

Rabot Inc

Applied Scientist

Arlington, TX · On-site

Experience with computer vision, perception systems, or signal processing. * Background in ... of neural network-based real-time controllers using the Lyapunov method, analogous to classical ...

Apple

Analog Layout Automation Engineer

Austin, TX · On-site

$200K/yr

Preferred Qualifications Experience designing analog and mixed-signal layouts in deep-submicron ... Solid understanding of supervised and self-supervised learning, convolutional neural networks (CNNs ...

Apple

Analog Layout Automation Engineer

Austin, TX

$157K - $280K/yr

Preferred Qualifications Experience designing analog and mixed-signal layouts in deep-submicron ... Understanding of image processing fundamentals, spatial representations, multi-channel image ...

Apple

Analog Layout Automation Engineer

Austin, TX

$157K - $280K/yr

Preferred Qualifications Experience designing analog and mixed-signal layouts in deep-submicron ... Understanding of image processing fundamentals, spatial representations, multi-channel image ...

Apple

Analog Layout Automation Engineer

Austin, TX

$157K - $280K/yr

Preferred Qualifications Experience designing analog and mixed-signal layouts in deep-submicron ... Understanding of image processing fundamentals, spatial representations, multi-channel image ...

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Neural Signal Processing information

What is the difference between Neural Signal Processing vs Neural Data Analyst?

AspectNeural Signal ProcessingNeural Data Analyst
Required CredentialsBackground in neuroscience, signal processing, programming (Python, MATLAB)Statistics, data analysis, programming (Python, R)
Work EnvironmentResearch labs, healthcare, neurotechnology companiesData-focused roles in research institutions, healthcare, biotech
Industry UsageDesigning algorithms for neural signals, signal decodingAnalyzing neural data sets, interpreting results

Neural Signal Processing involves developing algorithms to analyze and interpret neural signals, often requiring expertise in signal processing and neuroscience. Neural Data Analysts focus on examining neural data sets to extract insights, emphasizing statistical analysis and data interpretation. While both roles work with neural data, Neural Signal Processing is more technical and algorithm-driven, whereas Neural Data Analysts focus on data interpretation and reporting.

What are some common challenges faced by professionals in neural signal processing roles, and how can they be addressed?

Professionals in neural signal processing often face challenges such as managing noisy or artifact-laden data, ensuring real-time processing capabilities, and integrating signals from multiple modalities (e.g., EEG, fMRI). Addressing these challenges typically involves staying updated on advanced filtering techniques, collaborating closely with neuroscientists and engineers, and leveraging robust software tools for data analysis. Continuous learning and teamwork are essential, as projects often require interdisciplinary cooperation and adaptation to evolving research protocols.

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

To thrive in Neural Signal Processing, you need a solid background in neuroscience, signal processing, and programming, often supported by an advanced degree in biomedical engineering, neuroscience, or related fields. Familiarity with tools like MATLAB, Python, EEG/MEG analysis software, and machine learning frameworks is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, advancement of brain-computer interfaces, and successful contributions to neuroscience research.

What is neural signal processing?

Neural signal processing is the analysis and interpretation of electrical signals generated by neurons in the brain or nervous system. This field combines neuroscience, engineering, and computer science to develop methods and algorithms that can decode, filter, and make sense of complex neural data. Applications include brain-computer interfaces, medical diagnostics, and research into how the brain functions. Neural signal processing is critical for advancing our understanding of neural circuits and developing new treatments for neurological disorders.
What cities in Texas are hiring for Neural Signal Processing jobs? Cities in Texas with the most Neural Signal Processing job openings:
Neural Signal Processing jobs near you
Design Verification Engineer

Design Verification Engineer

Mythic

Austin, TX • On-site

$120K - $225K/yr

Full-time

Re-posted 9 days ago

Job description

We’re hiring experienced Design Verification Engineers from junior to senior levels to play a key role in developing and verifying the designs that will bring our next-generation AI processors to life.

About Us:
Mythic is building the future of AI computing with breakthrough analog technology that delivers 100× the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applications - whether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from –40 °C to +125 °C, making it ideal for industrial, automotive, aerospace, and defense.

We’ve raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets.

The salary range for this position is $120,000–$225,000+ annually. Actual compensation depends on experience, skills, qualifications, and location.

Design Verification at Mythic:
At Mythic, our Design Verification (DV) team is central to ensuring the correctness and reliability of our custom dataflow architecture that is the backbone of our chip design. DV engineers collaborate with many teams, including RTL design, architecture modeling, custom analog IP, compiler, emulation and post-silicon to ensure the full system operates as intended. Because today’s AI workloads are too large and intricate to be fully verified in hardware alone, our team takes creative and rigorous approaches—combining simulation, modeling, and innovative verification strategies—to prove that neural networks will function correctly and efficiently. We welcome engineers at all levels of experience who are eager to tackle challenging verification problems and contribute to the success of our breakthrough AI hardware.
Responsibilities
  • Hands on system-level and block-level verification.
  • Development of test plans and coverage plans.
  • Testbench development and execution using UVM or other advanced DV methodologies.
  • Creation of verification infrastructure and flows.
  • Leverage architecture models and emulation environments to help verify large AI network functionality on the design.
  • Further responsibilities will depend on background and skills.
Requirements
  • Bachelor’s, Master’s, or Ph.D. degree in Electrical Engineering, Computer Engineering, or Computer Science.
  • 3+ years of industry experience developing verification testbenches.
  • Knowledge of verification methodologies.
  • Knowledge of computer architecture.
  • Understanding of Verilog, SystemVerilog, and UVM.
  • Proven track record of first-pass silicon success.
  • Strong communication skills, both written and spoken.
At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.