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Director Neural Engineering Jobs in Texas (NOW HIRING)

Compiler Tech Lead

Dallas, TX · On-site

$170K - $190K/yr

We are seeking an experienced Compiler Engineer to join our exceptional team. Responsibilities ... neural nets * Experience with MLIR and spatial computing architectures * Driven and self-directed

Master's degree in biology, neuroscience, biomedical engineering, animal science, or a related field. * Direct experience with neural device implantation studies or neurosurgical models. * Background ...

This role is dedicated to architecting sophisticated neural network topologies and implementing ... free engineering culture - sharing insights, participating in rigorous code reviews, and ...

New

Staff Compiler Engineer

Austin, TX · On-site

$250K - $315K/yr

Participants include M12 (Microsoft's Venture Fund), Carbon Direct Capital, Aramco Ventures, Bosch ... Familiarity with deep learning frameworks and neural network optimization Technical Skills

... engineering with 4+ years focusing on deep learning and neural network development * Strong ... Direct experience developing or working with Vision-Language-Action (VLA) models or similar ...

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Director Neural Engineering information

What is the difference between Director Neural Engineering vs Neural Engineer?

AspectDirector Neural EngineeringNeural Engineer
Required CredentialsAdvanced degrees (PhD or MS), leadership experienceBachelor's or Master's in engineering, neuroscience, or related fields
Work EnvironmentLeadership roles in R&D teams, strategic planningHands-on research, development, and testing
Employer & Industry UsageResearch institutions, biotech, medical device companiesResearch labs, startups, healthcare organizations
Common Search & ComparisonLeadership, strategy, project managementTechnical skills, research focus

The main difference between a Director Neural Engineering and a Neural Engineer lies in their roles and responsibilities. The Director typically oversees projects, manages teams, and sets strategic goals, requiring advanced degrees and leadership experience. Neural Engineers focus on hands-on research and development, applying technical skills to design and test neural interfaces or algorithms. Both roles are vital in the neural engineering field but differ in scope and seniority.

How much money do neural engineers make?

Neural engineers, including those in neural engineering roles, typically earn between $80,000 and $150,000 annually, depending on experience, education, and location. Senior positions or those with specialized skills in neural interfaces or brain-computer interfaces can earn higher salaries, often exceeding $180,000. Industry demand for expertise in neural signal processing and neurotechnology tools influences compensation levels.
What are the most commonly searched types of Neural Engineering jobs in Texas? The most popular types of Neural Engineering jobs in Texas are:
What are popular job titles related to Director Neural Engineering jobs in Texas? For Director Neural Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Director Neural Engineering jobs in Texas look for? The top searched job categories for Director Neural Engineering jobs in Texas are:
What cities in Texas are hiring for Director Neural Engineering jobs? Cities in Texas with the most Director Neural Engineering job openings:
Infographic showing various Director Neural Engineering job openings in Texas as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Assistant Professor in Biomedical Engineering - Fall 2025 - Neuroengineering

The University of Texas at Austin

Austin, TX • On-site

Full-time

Re-posted 23 days ago


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Job description

Description
The Department of Biomedical Engineering is dedicated to developing solutions for human health by educating the next generation of biomedical engineers, cultivating leaders, and nurturing the integration of engineering, science, and medicine in a discovery-centered environment. To help advance this mission, we are seeking an applicant to fill one tenure-track, faculty position at the rank of Assistant Professor. We are interested in candidates who develop new technologies and methods that advance our understanding of the brain and neurological disorders. Areas of interest include computational neuroscience method development, neural engineering, novel devices and instrumentation for neuroscience applications, neuroimaging, neuromodulation, and translational neuroscience.
Qualifications
Required qualifications include a doctorate in engineering or a related field with a strong record of research accomplishments, publications, and funding appropriate for the applicant's career stage. The successful candidate will be expected to teach core biomedical engineering courses and to create undergraduate and graduate learning environments that address the needs of students from a variety of socioeconomic and academic backgrounds, with differing learning styles and abilities. Further, the successful candidate will be expected to develop an externally sponsored research program, mentor graduate students, collaborate with other faculty, and have a commitment to university and professional service. We seek applicants who have a desire to build collaborations with research centers and institutes on campus such as the Oden Institute for Computational Science and Engineering, the Institute for Neuroscience, and Dell Medical School. Furthermore, the Department has strong clinical partnerships with a number of medical institutions across Texas, including MD Anderson Cancer Center, UT Southwestern Medical Center at Dallas, and UT Health Science Centers at Houston and San Antonio.
Application Instructions
Interested persons should include a cover letter expressing interest; a detailed curriculum vitae including academic and professional experience and peer reviewed publications (please include PDF copies of a maximum of your two most significant, peer-reviewed, published manuscripts); a statement of research summarizing past contributions to and future plans for neuroengineering research; a statement of teaching goals with emphasis on effective classroom practices; and the names and e-mail addresses of at least three references. Applications received before November 1, 2024 will be given priority review.
Please direct inquiries to Brittain Sobey at b.sobey@utexas.edu

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