$118K - $163K/yr
In this role, you will work at the intersection of deep learning compilers, GPU systems, and automation infrastructure, ensuring that performance improvements are measurable, scalable, and ...
$118K - $163K/yr
In this role, you will work at the intersection of deep learning compilers, GPU systems, and automation infrastructure, ensuring that performance improvements are measurable, scalable, and ...
We are looking for a Deep Learning and Computer Vision engineer for our Autonomous Vehicles team. The role involves applying state-of-the-art techniques to build ground truth for autonomous vehicles ...
We are looking for a Deep Learning and Computer Vision engineer for our Autonomous Vehicles team. The role involves applying state-of-the-art techniques to build ground truth for autonomous vehicles ...
We are looking for a Deep Learning and Computer Vision engineer for our Autonomous Vehicles team. The role involves applying state-of-the-art techniques to build ground truth for autonomous vehicles ...
We are looking for a Deep Learning and Computer Vision engineer for our Autonomous Vehicles team. The role involves applying state-of-the-art techniques to build ground truth for autonomous vehicles ...
We are looking for a Deep Learning and Computer Vision engineer for our Autonomous Vehicles team. The role involves applying state-of-the-art techniques to build ground truth for autonomous vehicles ...
We are looking for a Deep Learning and Computer Vision engineer for our Autonomous Vehicles team. The role involves applying state-of-the-art techniques to build ground truth for autonomous vehicles ...
Seattle, WA · On-site
You'll conducting research into the theory and application of deep reinforcement learning. You will work on some of the most difficult problems in the industry with some of the best product managers ...
Seattle, WA · On-site
You'll conducting research into the theory and application of deep reinforcement learning. You will work on some of the most difficult problems in the industry with some of the best product managers ...
Seattle, WA · On-site
Knowledge Graphs and Extraction, Programming/Scripting Languages, Time Series, Machine Learning, Natural Language Processing, Deep Learning,Neural Networks/GNNs, Large Language Models, Data ...
Seattle, WA · On-site
Knowledge Graphs and Extraction, Programming/Scripting Languages, Time Series, Machine Learning, Natural Language Processing, Deep Learning,Neural Networks/GNNs, Large Language Models, Data ...
Develop approaches for inference-time optimization of interaction patterns with deep learning models, e.g., context optimization, intelligent sampling, etc. • In addition to these specific ...
Develop approaches for inference-time optimization of interaction patterns with deep learning models, e.g., context optimization, intelligent sampling, etc. • In addition to these specific ...
Seattle, WA · On-site
Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling ...
Seattle, WA · On-site
Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling ...
$142K - $263K/yr
Experience with training ML models including deep learning based models. Able to define metrics, evaluate ML models, and perform error analysis. Familiar with recent advances in deep learning.
$142K - $263K/yr
Experience with training ML models including deep learning based models. Able to define metrics, evaluate ML models, and perform error analysis. Familiar with recent advances in deep learning.
Seattle, WA · On-site
$139.50 - $258.10/hr
Proficient in Python and deep learning frameworks like PyTorch. * Experience with training ML models including deep learning based models. * Able to define metrics, evaluate ML models, and perform ...
Seattle, WA · On-site
$139.50 - $258.10/hr
Proficient in Python and deep learning frameworks like PyTorch. * Experience with training ML models including deep learning based models. * Able to define metrics, evaluate ML models, and perform ...
Machine Learning, Deep Learning/neural networks. * Data mining. * Azure ML, Cortana Intelligence. * Azure Data Lake. * Cosmos. * Analytical skills. * Experience and desire to work in a Global ...
Machine Learning, Deep Learning/neural networks. * Data mining. * Azure ML, Cortana Intelligence. * Azure Data Lake. * Cosmos. * Analytical skills. * Experience and desire to work in a Global ...
Seattle, WA · On-site
$142.30 - $263.30/hr
Proficient in Python and deep learning frameworks like PyTorch. * Experience with training ML models including deep learning-based models. * Able to define metrics, evaluate ML models, and perform ...
Seattle, WA · On-site
$142.30 - $263.30/hr
Proficient in Python and deep learning frameworks like PyTorch. * Experience with training ML models including deep learning-based models. * Able to define metrics, evaluate ML models, and perform ...
Seattle, WA · On-site
$180 - $280/hr
Description In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning ...
New
Seattle, WA · On-site
$180 - $280/hr
Description In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning ...
New
Seattle, WA · On-site
$216.20 - $324.80/hr
Responsibilities As part of this group, you will do large‑scale machine learning and deep learning to improve query understanding and ranking of search, developing fundamental building blocks ...
Seattle, WA · On-site
$216.20 - $324.80/hr
Responsibilities As part of this group, you will do large‑scale machine learning and deep learning to improve query understanding and ranking of search, developing fundamental building blocks ...
The Brand Protection Science team designs and builds high performance AI systems using machine learning and deep learning that identify and prevent infringement and counterfeit on behalf of brand ...
The Brand Protection Science team designs and builds high performance AI systems using machine learning and deep learning that identify and prevent infringement and counterfeit on behalf of brand ...
As part of our team, you will be leveraging and improving upon the latest deep learning techniques, such as LLM and RAG, in order to understand queries and user intents, rank documents, and find ...
As part of our team, you will be leveraging and improving upon the latest deep learning techniques, such as LLM and RAG, in order to understand queries and user intents, rank documents, and find ...
Seattle, WA · On-site
$139K - $183K/yr
... Deep Learning • NLP Preferred : • Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack. • Good product sense and ...
Seattle, WA · On-site
$139K - $183K/yr
... Deep Learning • NLP Preferred : • Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack. • Good product sense and ...
Redmond, WA · On-site
$160K - $261K/yr
Successful applicants will bring deep expertise about AI and will be passionate about making new ... Deep Learning Training Methods: Leverage a background in state-of-the-art techniques to post-train ...
Redmond, WA · On-site
$160K - $261K/yr
Successful applicants will bring deep expertise about AI and will be passionate about making new ... Deep Learning Training Methods: Leverage a background in state-of-the-art techniques to post-train ...
Seattle, WA · On-site
$121K - $243K/yr
... deep learning, with research or project experience in at least one of the following areas: large language models, reinforcement learning, generative models, recommender systems or information ...
New
Seattle, WA · On-site
$121K - $243K/yr
... deep learning, with research or project experience in at least one of the following areas: large language models, reinforcement learning, generative models, recommender systems or information ...
New
Seattle, WA · On-site
$121K - $243K/yr
... deep learning, with research or project experience in at least one of the following areas: large language models, reinforcement learning, generative models, recommender systems or information ...
New
Seattle, WA · On-site
$121K - $243K/yr
... deep learning, with research or project experience in at least one of the following areas: large language models, reinforcement learning, generative models, recommender systems or information ...
New
$24.8K is the 25th percentile. Wages below this are outliers.
$12.5K - $25.9K
27% of jobs
$25.9K - $39.2K
0% of jobs
$39.2K - $52.6K
0% of jobs
$52.6K - $65.9K
0% of jobs
$65.9K - $79.2K
0% of jobs
The median wage is $91.5K / yr.
$79.2K - $92.6K
25% of jobs
$92.6K - $105.9K
18% of jobs
$115.5K is the 75th percentile. Wages above this are outliers.
$105.9K - $119.3K
7% of jobs
$119.3K - $132.6K
2% of jobs
$132.6K - $146K
0% of jobs
$146K - $159.3K
21% of jobs
$12.5K
$95.5K
$159.3K
A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.
As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.
To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.
The most popular types of Deep Learning jobs in Seattle, WA are:
For Deep Learning jobs in Seattle, WA, the most frequently searched job titles are:
The top searched job categories for Deep Learning jobs in Seattle, WA are:
Cities near Seattle, WA with the most Deep Learning job openings:
$118K - $163K/yr
Full-time
Re-posted 12 days ago
9.6
Based on 17 frontline employees who took The Breakroom Quiz
7th of 244 rated software companies
NVIDIA is building advanced compiler technologies to accelerate AI workloads, and we are looking for an engineer focused on performance validation, analysis, and tracking. In this role, you will work at the intersection of deep learning compilers, GPU systems, and automation infrastructure, ensuring that performance improvements are measurable, scalable, and continuously validated over time.
Do you want to help drive the performance of next-generation compilers? Are you excited by how GPU performance powers breakthroughs in deep learning, autonomous systems, and high-performance computing? We are seeking a talented Deep Learning Compiler & Tools Engineer focused on CUDA Tile (Performance & Infrastructure) to join our team.
You will collaborate closely with compiler developers, infrastructure providers, and hardware teams to build systems that track, analyze, and improve performance across rapidly evolving AI workloads. If you're passionate about performance, systems, and building infrastructure that drives real-world impact, we want to hear from you.
What You'll Be Doing:
Design and develop performance testing frameworks for deep learning compilers and workloads
Build and maintain automated pipelines (CI/CD) to continuously track performance across models, hardware, and compiler changes
Implement benchmarking systems to measure latency, throughput, and efficiency of AI and HPC workloads
Analyze performance trends over time and identify regressions, bottlenecks, and optimization opportunities
Partner with compiler and architecture teams to debug and resolve performance issues
Develop tools and dashboards for performance visualization, reporting, and insights
Enable scalable testing across diverse GPU systems and environments
Improve infrastructure to ensure reliable, reproducible, and high-signal performance data
What We Need to See:
BS, MS, or PhD (or equivalent experience) in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related field
5+ years of software engineering experience, including experience in performance engineering, benchmarking, or systems optimization
Strong programming skills in Python (C++ is a plus)
Experience with CI/CD systems and automation frameworks
Familiarity with hardware-aware performance analysis (GPUs, accelerators, or similar systems)
Experience working with deep learning frameworks such as PyTorch, TensorFlow, JAX, or TensorRT
Background in data analysis, profiling, and regression tracking
Ability to debug complex system-level issues across software and hardware layers
Ways to Stand Out from the Crowd::
Experience with GPU performance analysis and optimization
Understanding of compiler internals (LLVM, MLIR, CUDA compilation flow)
Experience building performance dashboards and large-scale telemetry systems
Familiarity with hardware/software co-design or low-level performance tuning
Experience with distributed testing infrastructure or large-scale benchmarking systems
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered one of the most desirable employers in the technology industry. Our teams are tackling some of the most challenging problems in AI, deep learning, and accelerated computing.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.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.#deeplearning
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
