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Neural Jobs (NOW HIRING)

Nvidia

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Neural reconstruction and Gaussian Splatting are changing how 3D worlds are collected, represented, optimized, and rendered. These workloads push the limits of GPU computing, differentiable rendering ...

Nvidia

Neural reconstruction and Gaussian Splatting are changing how 3D worlds are collected, represented, optimized, and rendered. These workloads push the limits of GPU computing, differentiable rendering ...

Waabi

Research Engineer, Neural Rendering

San Francisco, CA · On-site +1

$134K - $235K/yr

To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the next generation of multi-sensor rendering systems for autonomous driving. You will collaborate with ...

Waabi

Research Engineer, Neural Rendering

San Francisco, CA · On-site +1

$134K - $235K/yr

To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the next generation of multi-sensor rendering systems for autonomous driving. You will collaborate with ...

Waabi

Research Engineer, Neural Rendering

San Francisco, CA · On-site +1

$134K - $235K/yr

To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the next generation of multi-sensor rendering systems for autonomous driving. You will collaborate with ...

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All JobsNeural Jobs

Neural information

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$30K

$143.5K

$200.5K

How much do neural jobs pay per year?

As of Jun 12, 2026, the average yearly pay for neural in the United States is $143,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,500.00 and $178,500.00 per year, depending on experience, location, and employer.

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

To excel as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, or a related field, often supported by an advanced degree. Familiarity with neural imaging tools, signal processing software, and programming languages like MATLAB or Python is typically required. Strong analytical thinking, problem-solving skills, and effective collaboration are essential soft skills in this role. These competencies enable the development and application of neurotechnologies that advance brain research and medical treatments.

What biology jobs pay over $100k?

In the field of biology, roles such as biomedical directors, pharmacologists, and biotechnologists often have salaries exceeding $100,000 annually. These positions typically require advanced degrees, specialized skills, and experience in research, development, or management within healthcare, pharmaceuticals, or biotech industries.

How does a Neural Engineer typically collaborate with multidisciplinary teams in research and development projects?

Neural Engineers often work closely with professionals from various backgrounds, including neuroscientists, software developers, clinicians, and data scientists. Collaboration usually involves joint problem-solving, sharing experimental data, and integrating hardware and software solutions for brain-computer interfaces or neural prosthetics. Effective communication and adaptability are crucial, as project requirements can evolve rapidly based on research findings or clinical feedback. This multidisciplinary environment provides valuable learning opportunities and fosters innovation in developing neural technologies.

What are neural jobs?

Neural jobs typically refer to roles that involve working with neural networks, a core technology in artificial intelligence and machine learning. These positions may include designing, developing, and optimizing neural network architectures for tasks such as image recognition, natural language processing, or predictive analytics. Professionals in these roles often have backgrounds in computer science, data science, or electrical engineering, and use programming languages like Python along with frameworks such as TensorFlow or PyTorch. Neural jobs are in high demand across industries like healthcare, finance, and technology, as organizations seek to leverage AI for innovative solutions.

What jobs can you do with neural engineering?

Neural engineering offers careers such as neural engineer, biomedical engineer, neurotechnology researcher, and neural interface developer. These roles involve designing brain-computer interfaces, developing neural prosthetics, and conducting research in neuroscience and medical device development, often requiring knowledge of signal processing, neuroscience, and engineering tools.

What neuro jobs are there?

Neuro jobs include roles such as neuroscientist, neuropsychologist, neuroengineer, and clinical neurophysiologist. These positions often require specialized education in neuroscience, psychology, or biomedical engineering, and may involve research, clinical practice, or developing neurotechnology tools. Skills in data analysis, programming, and understanding neural systems are commonly needed.

What is the highest paid job in neuroscience?

The highest paid jobs in neuroscience are often senior research directors, neuroscience department heads, or industry roles such as pharmaceutical or biotech executives, with salaries exceeding $150,000 annually. These positions typically require advanced degrees, extensive experience, and leadership skills, often involving management of research teams or strategic decision-making in the field.

What is the difference between Neural vs Data Scientist?

AspectNeuralData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; knowledge of neural networksDegree in statistics, computer science, or related fields; strong programming skills
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, data analysis teams, consulting firms
Industry UsagePrimarily in AI, machine learning, deep learning projectsAcross industries for data analysis, insights, and decision-making
Common Search/ComparisonNeural vs Data Scientist

Neural roles focus on developing and implementing neural network models, often requiring specialized knowledge in AI and deep learning. Data Scientists analyze data to extract insights, using various statistical and machine learning techniques. While both roles involve data and programming, Neural positions are more specialized in AI model development, whereas Data Scientists have a broader scope in data analysis across industries.

More about Neural jobs
What cities are hiring for Neural jobs? Cities with the most Neural job openings:
What states have the most Neural jobs? States with the most job openings for Neural jobs include:
What job categories do people searching Neural jobs look for? The top searched job categories for Neural jobs are:
Neural jobs near you
Infographic showing various Neural job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, 22% Part Time, and 1% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $143,519 per year, or $69 per hour.
Senior Neural Network Kernel Software Development Engineer

Senior Neural Network Kernel Software Development Engineer

Targeted Talent

San Diego, CA

$110K - $140K/yr

Full-time

Medical

Posted 16 days ago

Job description

Senior Neural Network Kernel Software Development Engineer


Our client is making substantial investments in software to enhance the seamless deployment of neural networks on their hardware, streamlining the experience for researchers and developers. The focus involves the optimization of various common neural networks for optimal performance on architectures, facilitated by the software optimization tool flow.

We are seeking software developers who are driven and naturally curious. The chosen candidate will contribute within agile teams, working closely with senior software engineers for mentorship. This role presents an opportunity to tackle novel challenges using cutting-edge technologies, as they build innovative systems from scratch.

As a key team member, you will specialize in constructing efficient implementations of practical neural net kernels tailored to their distinctive hardware architecture. Additionally, you will implement diverse computing algorithms, maximizing computation and communication throughput. This role involves developing a profound understanding of the architecture's intricacies, working collaboratively with the architects and compiler engineers.

Responsibilities:

  • Experience writing kernels to accelerate Neural Network execution on custom hardware accelerators (not on CPU's)
  • Design, prototype, and execute low-level, adaptable C++ programs (kernels) for various neural net operations.
  • Define, document, and communicate configuration APIs for these kernels to the compiler team.
  • Share performance optimization concepts with both compiler engineers and architects working on future product generations.
  • Develop comprehensive computation strategies spanning kernels for multichannel and multi-chip neural net implementations.

Requirements:

  • Degree in Computer Science, Engineering, Math, Physics, or related field (preferably MS or PhD).
  • Profound knowledge of modern C++, with a focus on code generation and low-level compute optimizations.
  • Familiarity with fundamental Neural Network operator algorithms - Convolutions, Transformers, RNNs.
  • Demonstrated capability to independently navigate challenging, well-defined problems.
  • Aptitude and interest in both high-level conceptual understanding and intricate technical details.
  • Enthusiasm for problem-solving within highly structured and restricted environments.

Preferred Skills and Experience:

  • Proficiency in Python.
  • Experience with other AI accelerator programming.
  • Strong mathematical aptitude.
  • Enjoyment of solving complex problems.

Our client offers:

  • Comprehensive health and extended health benefits.
  • Competitive Salary
  • Unlimited sick leave.
  • Stock options.
  • Contribution to revolutionizing chip and software technologies with global impact.
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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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