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 ...
Quick apply
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 ...
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 ...
Quick apply
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 ...
Software Engineer, Generalist, AI Inference
Palo Alto, CA · On-site
$114K - $157K/yr
Responsibilities : • Build robust AI frameworks to lower neural networks to edge devices • Build robust AI infrastructure to train and fine-tune networks for Autopilot and Optimus on large GPU ...
Software Engineer, Generalist, AI Inference
Palo Alto, CA · On-site
$114K - $157K/yr
Responsibilities : • Build robust AI frameworks to lower neural networks to edge devices • Build robust AI infrastructure to train and fine-tune networks for Autopilot and Optimus on large GPU ...
AI Algorithms/Software Engineer
$114K - $156K/yr
Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom models) for deployment on Mythic's hardware. * Develops advanced quantization-aware and analog-aware ...
AI Algorithms/Software Engineer
$114K - $156K/yr
Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom models) for deployment on Mythic's hardware. * Develops advanced quantization-aware and analog-aware ...
AI/ML Engineer
San Francisco, CA · On-site
$134K - $162K/yr
Job Title: GTS - US Entity - Machine Learning Engineer Proficiency in supervised and unsupervised learning algorithms is essential, along with experience in neural networks and natural language ...
New
AI/ML Engineer
San Francisco, CA · On-site
$134K - $162K/yr
Job Title: GTS - US Entity - Machine Learning Engineer Proficiency in supervised and unsupervised learning algorithms is essential, along with experience in neural networks and natural language ...
New
AI Algorithms/Software Engineer
Palo Alto, CA · On-site
$114K - $156K/yr
Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom models) for deployment on Mythic's hardware. * Develops advanced quantization-aware and analog-aware ...
AI Algorithms/Software Engineer
Palo Alto, CA · On-site
$114K - $156K/yr
Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom models) for deployment on Mythic's hardware. * Develops advanced quantization-aware and analog-aware ...
... neural networks--to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield, reduce inspection burden, and optimize parts. • Collaborate with cross-functional ...
... neural networks--to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield, reduce inspection burden, and optimize parts. • Collaborate with cross-functional ...
... neural networks--to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield, reduce inspection burden, and optimize parts. • Collaborate with cross-functional ...
... neural networks--to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield, reduce inspection burden, and optimize parts. • Collaborate with cross-functional ...
... neural networks--to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield, reduce inspection burden, and optimize parts. • Collaborate with cross-functional ...
... neural networks--to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield, reduce inspection burden, and optimize parts. • Collaborate with cross-functional ...
Senior Research Scientist
Palo Alto, CA · On-site
$115K - $147K/yr
They are seeking a Senior Research Scientist to contribute to the development of cutting-edge AI models, focusing on machine learning research and the practical deployment of large neural networks.
Senior Research Scientist
Palo Alto, CA · On-site
$115K - $147K/yr
They are seeking a Senior Research Scientist to contribute to the development of cutting-edge AI models, focusing on machine learning research and the practical deployment of large neural networks.
Data Scientist
Pleasanton, CA · On-site
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages drawbacks. Knowledge of advanced ...
Data Scientist
Pleasanton, CA · On-site
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages drawbacks. Knowledge of advanced ...
Support project team in building data pipelines for training deep neural networks. * Benchmarking and reporting of various neural network models performance. * Research into suitable new network ...
Support project team in building data pipelines for training deep neural networks. * Benchmarking and reporting of various neural network models performance. * Research into suitable new network ...
Research on various neural networks for the interpretation of camera images (object detection, panoptic segmentation) and trajectory/motion planning. * Fusion of different neural networks to use ...
Research on various neural networks for the interpretation of camera images (object detection, panoptic segmentation) and trajectory/motion planning. * Fusion of different neural networks to use ...
... neural networks, or other surrogate model architecture • Experience solving inverse problems such as geometry optimization or design under uncertainty • Strong understanding of traditional ...
... neural networks, or other surrogate model architecture • Experience solving inverse problems such as geometry optimization or design under uncertainty • Strong understanding of traditional ...
Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using "microscopes" we build, or as treating neural networks as binary computer programs ...
Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using "microscopes" we build, or as treating neural networks as binary computer programs ...
Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using "microscopes" we build, or as treating neural networks as binary computer programs ...
Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using "microscopes" we build, or as treating neural networks as binary computer programs ...
Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse ...
Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse ...
Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse ...
Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse ...
Development of advanced machine learning approaches including graph neural networks, symbolic regression, mechanistic models, and statistical learning methods * Mathematical frameworks connecting ...
Quick apply
Development of advanced machine learning approaches including graph neural networks, symbolic regression, mechanistic models, and statistical learning methods * Mathematical frameworks connecting ...
... neural networks into our scanning system • Enhance deep neural networks and their related preprocessing and postprocessing code to ensure efficient execution on an embedded device Qualifications
... neural networks into our scanning system • Enhance deep neural networks and their related preprocessing and postprocessing code to ensure efficient execution on an embedded device Qualifications
Neural Networks information
See California salary details
$29.4K - $44.6K
11% of jobs
$44.6K - $59.7K
3% of jobs
$59.7K - $74.9K
3% of jobs
$74.9K - $90.1K
2% of jobs
$90.1K - $105.3K
4% of jobs
$108.2K is the 25th percentile. Wages below this are outliers.
$105.3K - $120.4K
9% of jobs
The median wage is $134.4K / yr.
$120.4K - $135.6K
19% of jobs
$135.6K - $150.8K
15% of jobs
$161.2K is the 75th percentile. Wages above this are outliers.
$150.8K - $166K
13% of jobs
$166K - $181.2K
11% of jobs
$181.2K - $196.3K
11% of jobs
$29.4K
$129.6K
$196.3K
How much do neural networks jobs pay per year?
As of Jul 29, 2026, the average yearly pay for neural networks in California is $129,641.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,694.00 and $164,510.00 per year, depending on experience, location, and employer.
What are the most common challenges faced in a Neural Networks role, and how can I prepare for them?
Professionals working in neural networks frequently encounter challenges such as managing large datasets, tuning hyperparameters, handling overfitting or underfitting, and keeping up with rapidly evolving technologies. You can prepare by building a strong foundation in relevant mathematical concepts, staying up-to-date on industry advancements, and practicing hands-on model development and troubleshooting. Collaborating with peers and participating in open-source projects or competitions can deepen your expertise and problem-solving skills. Employers also value candidates who can communicate complex ideas clearly and work well in diverse, multidisciplinary teams.
What is a Neural Networks job?
A Neural Networks job typically involves designing, developing, and optimizing artificial neural networks for tasks such as image recognition, natural language processing, and predictive analytics. Professionals in this field work with machine learning frameworks like TensorFlow or PyTorch, train deep learning models, and fine-tune architectures for better accuracy and efficiency. These roles are common in AI research, data science, robotics, and software development. Strong skills in programming, mathematics, and data handling are essential for success in this field.
What are the key skills and qualifications needed to thrive in the Neural Networks position, and why are they important?
To thrive in a Neural Networks role, you need a solid background in mathematics, programming (Python, TensorFlow, PyTorch), and machine learning principles, often attained through a degree in computer science or a related field. Familiarity with neural network frameworks, model deployment tools, and cloud computing platforms is highly valuable, as are certifications such as TensorFlow Developer or AWS Machine Learning. Excellent problem-solving abilities, communication skills, and a collaborative mindset help you excel when working on interdisciplinary teams and complex projects. These skills are crucial for designing, training, and optimizing neural network models that effectively solve real-world problems in diverse industries.
What are the most commonly searched types of Neural Networks jobs in California? The most popular types of Neural Networks jobs in California are:
What are popular job titles related to Neural Networks jobs in California? For Neural Networks jobs in California, the most frequently searched job titles are:
What job categories do people searching Neural Networks jobs in California look for? The top searched job categories for Neural Networks jobs in California are:
What cities in California are hiring for Neural Networks jobs? Cities in California with the most Neural Networks job openings:
$110K - $140K/yr
Full-time
Medical
Re-posted 3 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.
About Targeted Talent
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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