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Biomedical Signal Processing Engineer Jobs in Texas

Neuralink

Signal Processing Engineer

Austin, TX

$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 ...

Neuralink

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 ...

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Biomedical Signal Processing Engineer information

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$49.8K

$122.4K

$180.3K

How much do biomedical signal processing engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for biomedical signal processing engineer in Texas is $122,372.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $137,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Biomedical Signal Processing Engineer position, and why are they important?

To thrive as a Biomedical Signal Processing Engineer, you need a strong background in biomedical engineering, electrical engineering, or a related field, with expertise in digital signal processing and data analysis. Familiarity with MATLAB, Python, LabVIEW, and signal processing toolboxes, as well as knowledge of medical device regulations and standards, is highly beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills are also essential. These competencies enable engineers to accurately interpret complex biological data, develop innovative healthcare solutions, and collaborate successfully with multidisciplinary teams.

What does a Biomedical Signal Processing Engineer do?

A Biomedical Signal Processing Engineer develops algorithms and techniques to analyze physiological signals such as ECG, EEG, and EMG. They apply signal processing methods to extract meaningful information for medical diagnostics, device development, and healthcare applications. Their work involves filtering noise, detecting patterns, and enhancing signal quality to improve medical decision-making. They often collaborate with clinicians, data scientists, and hardware engineers to create innovative healthcare technologies.

What are the typical daily responsibilities of a Biomedical Signal Processing Engineer?

A Biomedical Signal Processing Engineer typically spends their day analyzing physiological signals (such as ECG, EEG, or EMG), designing and implementing algorithms for data processing, and validating results against clinical benchmarks. They often work closely with clinicians, data scientists, and software developers to integrate signal processing solutions into medical devices or healthcare platforms. The role also involves troubleshooting data irregularities, documenting findings, and staying up-to-date with the latest advancements in biomedical technologies. Collaboration and iterative problem solving are common, making teamwork and adaptability crucial parts of the job.

What are the most commonly searched types of Biomedical Signal Processing Engineer jobs in Texas? The most popular types of Biomedical Signal Processing Engineer jobs in Texas are:
What are popular job titles related to Biomedical Signal Processing Engineer jobs in Texas? For Biomedical Signal Processing Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Biomedical Signal Processing Engineer jobs in Texas look for? The top searched job categories for Biomedical Signal Processing Engineer jobs in Texas are:
Biomedical Signal Processing Engineer jobs near you
Infographic showing various Biomedical Signal Processing Engineer job openings in Texas as of June 2026, with employment types broken down into 94% Full Time, 4% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $122,372 per year, or $58.8 per hour.
Signal Processing Engineer

Signal Processing Engineer

Neuralink

Austin, TX

$121K - $230K/yr

Other

Posted 10 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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