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Neural Engineering Jobs in Nevada (NOW HIRING)

Pwc

AI Engineer

Las Vegas, NV · On-site

$50K - $112K/yr

... neural networks and deep learning methods for advanced AI applications - Managing data quality and ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Sparks, NV · On-site

$106K - $146K/yr

Bachelor's degree in computer science, mathematics, applied statistics, various engineering ... Demonstrated ability to design and optimize generative AI models (e.g., transformers) and neural ...

Pwc

AI Engineer

Las Vegas, NV · On-site

$55K - $187K/yr

... learning and neural network methodologies to optimize AI model performance - Managing data ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Varsity Tutors

Machine Learning Tutor

Reno, NV · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

Henderson, NV · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

North Las Vegas, NV · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

Varsity Tutors

Machine Learning Tutor

Las Vegas, NV · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...

All JobsNeural Engineering JobsNeural Engineering Jobs in Nevada

Neural Engineering information

See Nevada salary details

$11

$19

$30

How much do neural engineering jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for neural engineering in Nevada is $19.67, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $21.30 per hour, depending on experience, location, and employer.

What is neural engineering?

Neural engineering is a multidisciplinary field that combines engineering, neuroscience, and computational approaches to understand, repair, enhance, or interface with the nervous system. Neural engineers develop devices such as brain-computer interfaces, neural prosthetics, and neurostimulation systems to restore or improve neural function. This field plays an important role in advancing treatments for neurological disorders and in creating technologies that bridge the gap between machines and the human brain.

What are the key skills and qualifications needed to thrive as a neural engineer, and why are they important?

To thrive as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and signal processing, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as MATLAB or Python), neuroimaging tools, and hardware platforms used for neural interfacing is essential. Excellent problem-solving skills, collaboration, and clear communication set standout professionals apart in this multidisciplinary environment. These skills are crucial for developing innovative neural technologies and translating research into effective clinical or commercial solutions.

Is neural engineering a good career?

Neural engineering is a growing interdisciplinary field that combines neuroscience, engineering, and computer science to develop technologies like brain-computer interfaces and neural prosthetics. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The field is expected to expand as neurotechnology advances and healthcare needs increase.

What can you do with a neural engineering degree?

A neural engineering degree prepares individuals for careers in developing brain-computer interfaces, neuroprosthetics, and neural signal processing. Graduates often work in research, healthcare, or technology companies, utilizing skills in neuroscience, engineering, and programming to innovate medical devices and neural systems.

What are jobs in neural engineering?

Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.

What are some common interdisciplinary challenges faced by neural engineers when collaborating with clinicians and data scientists?

Neural engineers frequently work on teams that include clinicians, data scientists, and hardware specialists, which can present unique interdisciplinary challenges. Effective communication is essential, as team members often have different technical backgrounds and priorities—clinicians focus on patient outcomes, while data scientists emphasize analytical accuracy. Bridging the gap between clinical needs and technical feasibility requires adaptability, openness to feedback, and a willingness to learn new concepts. Building strong collaborative relationships and participating in regular cross-functional meetings can help ensure that project goals are clearly understood and met by all stakeholders.
More about Neural Engineering jobs
What are the most commonly searched types of Neural Engineering jobs in Nevada? The most popular types of Neural Engineering jobs in Nevada are:
What are popular job titles related to Neural Engineering jobs in Nevada? For Neural Engineering jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Neural Engineering jobs in Nevada look for? The top searched job categories for Neural Engineering jobs in Nevada are:
Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in Nevada as of August 2026, with employment types broken down into 5% Internship, 78% Full Time, and 17% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $40,910 per year, or $19.7 per hour.

Senior Software Engineer (Architecture)

Targeted Talent

Las Vegas, NV • On-site

$117K - $154K/yr

Full-time

Medical, PTO

Re-posted 11 days ago

Job description

About the Company:
Our client is a company building the world's highest- performance pure digital AI inference chip.
They are seeking a Software Architect to lead their software efforts and advance the software stack that includes ML frameworks, compilers, libraries, and runtime. As a Software Architect, you will be responsible for designing and developing software that interacts with their chip, collaborating with hardware and software engineers, and optimizing software for highly parallel architectures to maximize performance and efficiency.

Responsibilities:

  • Advance the state of the art in compiler and runtime technology for delivering high-performance acceleration of AI workloads across a variety of neural network architectures.
  • Research and design new software and hardware AI solutions, involving simulators, optimizing compilers, code generators, and runtime execution frameworks for deep learning accelerators.
  • Evaluate various trade-offs of different parallelization strategies such as performance, power, energy, and memory consumption.
  • Enhance AI software tools to support the latest and greatest DNNs emerging from the research community and industry.
  • Keep up with the fast-paced development happening in the industry and academia to continuously enhance our products.
  • Work closely with other software and hardware engineers to develop the next generation of deep learning software.
  • Collaborate with architects and hardware engineers to co-design future accelerators.

Preferred Skills & Experience:

  • 10+ years of experience developing software for a variety of highly parallel architectures.
  • Previous roles include experience with optimizing algorithms for hardware acceleration machine learning accelerators, spatial architectures, or GPUs.
  • Strong problem-solving skills and the ability to resolve complex issues with a high level of ambiguity.
  • Understanding of Deep Learning fundamentals.
  • Strong development skills in C/C++, Python.
  • Superb soft skills: ability to work efficiently and effectively in a group environment, and influence a cross-functional team without having direct managerial authority.
  • Computer Science, Engineering, or related degree; preferably MS or PhD.
  • Driven and self-directed.

Perks:

  • 20 vacation days
  • Strong health and extended health benefits
  • Unlimited sick days
  • Stock options

Please apply even if you don't check all the boxes. We are an inclusive and diverse company and welcome applicants from all backgrounds.

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About Targeted Talent

Sourced by ZipRecruiter

Your single source for HR professional services, we offer job seekers specialized employment services, spanning contract, permanent positions, and project solutions for highly specialized and managerial level talent needs. Our team of specialized recruiters and consultants abilities extend far beyond resume or career counseling. With hundreds of collaborators strategically located throughout the country, our organization possess the local market knowledge and industry relationships that make successful geography-specific reach possible.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA

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