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Remote Neural Engineer Jobs in Texas (NOW HIRING)

Avride

Machine Learning Engineer

Austin, TX · On-site

At least three years of experience developing neural network-based algorithms, including data ... The employer is not offering relocation sponsorship, and remote work options are not available.

Neuralink

Software Engineer, CI/CD

Austin, TX · Remote

... neural recordings from implants. You will: * Design and scale the CI/CD platform that enables ... This includes remote caching, remote execution, target identification and selection, etc. * Operate ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

... programming, Stochastic Gradient Descent, Genetic Algorithm etc.) * Experience with neural network ... Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 ...

Neuralink

Software Engineer, CI/CD

Austin, TX · On-site

$123K - $216K/yr

... neural recordings from implants. You will: * Design and scale the CI/CD platform that enables ... This includes remote caching, remote execution, target identification and selection, etc. * Operate ...

The Jacobs Brand

GIS Developer

Houston, TX · On-site +1

Employ GIS and remote sensing techniques to Earth, Moon, and other planetary image data in support ... neural networks * Mission science integration and operations * Previous work with NASA and/or in ...

Mclaurin Aerospace

GIS Developer

Houston, TX · On-site +1

Employ GIS and remote sensing techniques to Earth, Moon, and other planetary image data in support ... neural networks * Mission science integration and operations * Previous work with NASA and/or in ...

TriWest Healthcare

Data Scientist

Houston, TX · On-site

We offer remote work opportunities (AK, AR, AZ, CO, FL, HI, IA, ID, IL, KS, LA, MD, MN, MO, MT, NE ... engineering • U.S. Citizenship • Must be able to receive favorable Interim and adjudicated ...

All JobsRemote Neural Engineer JobsRemote Neural Engineer Jobs in Texas

Remote Neural Engineer information

What is a Remote Neural Engineer?

A Remote Neural Engineer is a professional who designs, develops, and maintains neural engineering systems—such as brain-computer interfaces or neural prosthetics—while working remotely. They often collaborate with multidisciplinary teams to create solutions that interface with the nervous system, using expertise in neuroscience, biomedical engineering, and software development. Remote Neural Engineers may work from home or distributed locations, utilizing digital tools to analyze neural data, develop algorithms, and contribute to research or product development in the neural technology field.

What are the key skills and qualifications needed to thrive as a Remote Neural Engineer, and why are they important?

To thrive as a Remote Neural Engineer, you need a solid background in neuroscience, biomedical engineering, or electrical engineering, often supported by a relevant degree or advanced certification. Proficiency with neural signal processing software, programming languages like Python or MATLAB, and brain-computer interface (BCI) systems is typically required. Strong problem-solving skills, attention to detail, and effective virtual communication are vital soft skills in this role. These skills and qualities are essential for developing, analyzing, and troubleshooting complex neural systems while collaborating with teams remotely.

What engineers make $300,000 a year?

Senior neural engineers or AI/ML engineers with extensive experience, advanced skills in deep learning, and specialized knowledge in neural interfaces can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and work in high-demand industries such as biotechnology, aerospace, or tech giants. Compensation varies based on location, company size, and individual expertise.

How do Remote Neural Engineers typically collaborate with cross-functional teams while working off-site?

Remote Neural Engineers frequently use digital collaboration tools such as video conferencing, shared code repositories, and project management platforms to stay connected with colleagues in neuroscience, software development, and data science. Regular virtual meetings and asynchronous communication help ensure alignment on project goals, data analysis, and protocol development. This structure allows for flexibility, but also requires proactive communication and strong organizational skills to manage complex, interdisciplinary tasks from a distance.

What engineers make $500,000?

Senior neural engineers or specialized AI and machine learning engineers in high-demand industries can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and leadership roles. Compensation often includes base salary, bonuses, and stock options, particularly in tech companies or startups focused on neural interfaces and AI development.

What is the difference between Remote Neural Engineer vs Remote Data Scientist?

AspectRemote Neural EngineerRemote Data Scientist
Required CredentialsDegree in neuroscience, biomedical engineering, or related fields; knowledge of neural interfacesDegree in computer science, statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch labs, tech companies, healthcare institutions with focus on neural dataTech firms, finance, healthcare, analyzing large datasets
Industry UsageNeuroscience, biomedical engineering, neurotechnologyTechnology, finance, healthcare, research
Common Search/ComparisonYesYes

Remote Neural Engineers focus on developing and implementing neural interfaces and understanding neural systems, often requiring knowledge of neuroscience and biomedical engineering. Remote Data Scientists analyze large datasets to extract insights, typically with skills in statistics and programming. While both roles involve technical expertise and data analysis, Neural Engineers are more specialized in neural technologies, whereas Data Scientists have a broader application across industries.

What is the salary of a neuroengineer?

The salary of a remote neural engineer typically ranges from $80,000 to $150,000 annually, depending on experience, education, and the complexity of projects. Advanced skills in neural signal processing, machine learning, and experience with neurotechnology tools can influence compensation levels.

Can you work remotely as an AI engineer?

Remote work is common for AI engineers, including those specializing in neural engineering, as many companies offer remote positions that involve programming, data analysis, and model development. Successful remote AI engineers typically have strong communication skills, proficiency with tools like Python and TensorFlow, and a reliable internet connection. However, some roles may require on-site presence for hardware setup or collaboration.
What are popular job titles related to Remote Neural Engineer jobs in Texas? For Remote Neural Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Neural Engineer jobs in Texas look for? The top searched job categories for Remote Neural Engineer jobs in Texas are:
What cities in Texas are hiring for Remote Neural Engineer jobs? Cities in Texas with the most Remote Neural Engineer job openings:
Remote Neural Engineer jobs near you
Senior Deep Learning Engineer

Senior Deep Learning Engineer

Targeted Talent

Austin, TX • On-site, Remote

$130K - $180K/yr

Full-time

Posted 15 days ago

Job description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 5+ years of experience, with at least 2 years in both deep learning and software engineering
  • Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
  • Experience with CNNs, LSTMs/RNNs, Transformers
  • Strong math skills and Python proficiency
  • Experience with C/C++

Preferred Skills & Experience:

  • Master's or PhD in Computer Science, Engineering, or related field
  • Experience in embedded or low-level programming
  • Knowledge of CUDA/OpenGL
  • Experience deploying neural networks in production
  • Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.
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Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA

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