Seattle, WA · On-site
$112K - $142K/yr
Fluency in Python, and solid coding/software-engineering practices * A proven track-record in publications and/or the ability to run large-scale experiments * A strong interest in neural network ...
Seattle, WA · On-site
$112K - $142K/yr
Fluency in Python, and solid coding/software-engineering practices * A proven track-record in publications and/or the ability to run large-scale experiments * A strong interest in neural network ...
Snap Engineering teams build fun and technically sophisticated products that reach hundreds of ... to-rank, deep retrieval, neural ranking, sequence models, embeddings, multi-task learning ...
Snap Engineering teams build fun and technically sophisticated products that reach hundreds of ... to-rank, deep retrieval, neural ranking, sequence models, embeddings, multi-task learning ...
Snap Engineering teams build fun and technically sophisticated products that reach hundreds of ... to-rank, deep retrieval, neural ranking, sequence models, embeddings, multi-task learning ...
Snap Engineering teams build fun and technically sophisticated products that reach hundreds of ... to-rank, deep retrieval, neural ranking, sequence models, embeddings, multi-task learning ...
Seattle, WA · Remote
$140K - $225K/yr
Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Experience with deep learning architectures and techniques, such as Convolutional Neural Networks ...
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Seattle, WA · Remote
$140K - $225K/yr
Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Experience with deep learning architectures and techniques, such as Convolutional Neural Networks ...
Seattle, WA · Remote
$140K - $225K/yr
Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Experience with deep learning architectures and techniques, such as Convolutional Neural Networks ...
Quick apply
Seattle, WA · Remote
$140K - $225K/yr
Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Experience with deep learning architectures and techniques, such as Convolutional Neural Networks ...
$160K - $250K/yr
We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We ...
$160K - $250K/yr
We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We ...
Seattle, WA · On-site
$160K - $250K/yr
We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We ...
Seattle, WA · On-site
$160K - $250K/yr
We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We ...
Seattle, WA · Remote
$140K - $225K/yr
Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Experience with deep learning architectures and techniques, such as Convolutional Neural Networks ...
Quick apply
Seattle, WA · Remote
$140K - $225K/yr
Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Experience with deep learning architectures and techniques, such as Convolutional Neural Networks ...
Seattle, WA · On-site
$142K - $196K/yr
Engineering, but brighter. About the Role As a Senior/Principal AI Engineer in Agent Factory, you ... graph neural network models for real-world use cases * 6+ years of proven experience with cloud ...
Seattle, WA · On-site
$142K - $196K/yr
Engineering, but brighter. About the Role As a Senior/Principal AI Engineer in Agent Factory, you ... graph neural network models for real-world use cases * 6+ years of proven experience with cloud ...
$200K - $300K/yr
We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We ...
$200K - $300K/yr
We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We ...
Seattle, WA · On-site
They are seeking a Research Engineer to develop high-performance ML models, focusing on optimizing ... neural network pruning/knowledge distillation/quantization/architecture search, sub-quadratic ...
Seattle, WA · On-site
They are seeking a Research Engineer to develop high-performance ML models, focusing on optimizing ... neural network pruning/knowledge distillation/quantization/architecture search, sub-quadratic ...
Seattle, WA · On-site
$200K - $300K/yr
We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We ...
Seattle, WA · On-site
$200K - $300K/yr
We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We ...
Redmond, WA · On-site
$117K - $160K/yr
... neural networks, and other general software engineering work. Qualifications : Required : • Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field or equivalent ...
Redmond, WA · On-site
$117K - $160K/yr
... neural networks, and other general software engineering work. Qualifications : Required : • Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field or equivalent ...
$170K - $190K/yr
We are seeking an experienced Compiler Engineer to join our exceptional team. Responsibilities: * Design and implement software that maps neural nets onto our spatial architecture * Stay abreast of ...
Quick apply
$170K - $190K/yr
We are seeking an experienced Compiler Engineer to join our exceptional team. Responsibilities: * Design and implement software that maps neural nets onto our spatial architecture * Stay abreast of ...
Preferred Qualifications Programming experience with Swift and familiarity with CoreML ... Experience optimizing models for neural network accelerators (e.g., Apple Neural Engine or mobile ...
Preferred Qualifications Programming experience with Swift and familiarity with CoreML ... Experience optimizing models for neural network accelerators (e.g., Apple Neural Engine or mobile ...
Seattle, WA · Remote
$180K - $225K/yr
Provide leadership and set tone for Machine Learning Engineers at ZipRecruiter leveraging industry ... Extensive background of deep learning architectures and techniques, such as Convolutional Neural ...
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Seattle, WA · Remote
$180K - $225K/yr
Provide leadership and set tone for Machine Learning Engineers at ZipRecruiter leveraging industry ... Extensive background of deep learning architectures and techniques, such as Convolutional Neural ...
Seattle, WA · Remote
$180K - $225K/yr
Provide leadership and set tone for Machine Learning Engineers at ZipRecruiter leveraging industry ... Extensive background of deep learning architectures and techniques, such as Convolutional Neural ...
Quick apply
Seattle, WA · Remote
$180K - $225K/yr
Provide leadership and set tone for Machine Learning Engineers at ZipRecruiter leveraging industry ... Extensive background of deep learning architectures and techniques, such as Convolutional Neural ...
Seattle, WA · Remote
$180K - $225K/yr
Provide leadership and set tone for Machine Learning Engineers at ZipRecruiter leveraging industry ... Extensive background of deep learning architectures and techniques, such as Convolutional Neural ...
Quick apply
Seattle, WA · Remote
$180K - $225K/yr
Provide leadership and set tone for Machine Learning Engineers at ZipRecruiter leveraging industry ... Extensive background of deep learning architectures and techniques, such as Convolutional Neural ...
As an Embedded Machine Learning Engineer, you'll deploy efficient, low-power ML models directly ... Optimize neural network models (e.g., quantization, pruning) for performance, memory, and power on ...
As an Embedded Machine Learning Engineer, you'll deploy efficient, low-power ML models directly ... Optimize neural network models (e.g., quantization, pruning) for performance, memory, and power on ...
... engineering, and science teams within Pricing & Promotions to deploy machine learning price estimation and error correction solutions at Amazon scale. Design and implement neural network-based ...
... engineering, and science teams within Pricing & Promotions to deploy machine learning price estimation and error correction solutions at Amazon scale. Design and implement neural network-based ...
$67.7K - $82.6K
14% of jobs
$91.4K is the 25th percentile. Wages below this are outliers.
$82.6K - $97.4K
19% of jobs
$97.4K - $112.3K
12% of jobs
The median wage is $117.4K / yr.
$112.3K - $127.1K
17% of jobs
$127.1K - $141.9K
12% of jobs
$144.5K is the 75th percentile. Wages above this are outliers.
$141.9K - $156.8K
14% of jobs
$156.8K - $171.6K
7% of jobs
$171.6K - $186.5K
3% of jobs
$186.5K - $201.3K
0% of jobs
$201.3K - $216.2K
1% of jobs
$216.2K - $231K
2% of jobs
$67.7K
$127K
$231K
As a Neural Engineer, you may work on projects ranging from designing brain-computer interfaces and neural prosthetics to analyzing complex neural signals for clinical or research applications. Collaboration with neuroscientists, clinicians, software developers, and hardware engineers is common, ensuring a multidisciplinary approach to solving neurological challenges. Your daily responsibilities might include data analysis, prototyping, testing devices, and presenting findings to your team. This role offers opportunities to influence cutting-edge research and directly contribute to advancements in healthcare and neurotechnology.
A Neural Engineer applies principles from neuroscience, engineering, and computer science to develop technologies that interface with the nervous system. This includes designing brain-computer interfaces, neuroprosthetics, and medical devices for treating neurological disorders. They work with signal processing, machine learning, and biomedical hardware to understand and manipulate neural activity. Their work has applications in healthcare, rehabilitation, and human augmentation.
To thrive as a Neural Engineer, you need a strong background in biomedical engineering, neuroscience, and signal processing, often supported by an advanced degree in a related field. Proficiency with tools like MATLAB, Python, neural data acquisition systems, and familiarity with medical device regulations or certifications are commonly required. Problem-solving abilities, interdisciplinary teamwork, and effective communication set standout candidates apart. These skills and qualities are crucial for innovating and safely developing neural devices and technologies that bridge engineering and neuroscience.
$112K - $142K/yr
Full-time
Re-posted 6 days ago
9.6
Based on 17 frontline employees who took The Breakroom Quiz
8th of 242 rated software companies
We are now looking for an Applied Deep Learning Research Scientist, Efficiency!
Join our ADLR - Efficiency team to make deep learning faster and consume less energy! Our team influences the next-generation hardware to make AI more efficient; we work on the Nemotron series of models to make our state-of-the-art deep learning models the most efficient OSS models out there; and we develop new technology, software and algorithms to optimize neural networks for training and deployment. Topics include quantization/sparsity/optimizers/reinforcement learning, efficient architectures and pre-training. Our team is located inside the Nemotron pre-training team, collaborating across the company to make Nvidia GPUs the most efficient AI platform possible. Our work quite literally reaches the entire deep learning world. We are looking for applied researchers that want to develop new technologies for efficiency - and who want to understand the 'why' in efficiency, getting to the root-cause of why things do or do not work, and using that knowledge to develop new algorithms, numeric formats and architecture improvements.
What you'll be doing:
Research of low-bit number representations and pruning and their effect on neural network inference and training accuracy. This includes requirements by the existing state of art neural networks, as well as co-design of future neural network architectures and optimizers.
Innovate with new algorithms to make deep learning more efficient while retaining accuracy, and open-source or publish these algorithms for the world to use.
Run large-scale deep learning experiments to prove out ideas and analyze the effects of efficiency improvements.
Collaborate across the company with teams making the hardware, software and deep learning architectures.
What we need to see:
PhD degree in AI, computer science, computer engineering, math or a related field or equivalent experience in some of the areas listed below can substitute for an advanced degree.
5+ years of relevant industrial research experience.
Familiarity with state-of-art neural network architectures, optimizers and LLM training.
Experience with modern DL training frameworks and/or inference engines.
Fluency in Python, and solid coding/software-engineering practices
A proven track-record in publications and/or the ability to run large-scale experiments
A strong interest in neural network efficiency
Ways to stand out from the crowd:
Experience in quantization, pruning, numerics and efficient architectures.
A background in computer architecture
Experience with GPU computing, kernels, CUDA programming and/or performance analysis
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Sourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Computer and electronic product manufacturing
10,000+ Employees
Santa Clara, CA, US
1993
