NVIDIA is building advanced compiler technologies to accelerate AI workloads, and we are looking ... In this role, you will work at the intersection of deep learning compilers, GPU systems, and ...
NVIDIA is building advanced compiler technologies to accelerate AI workloads, and we are looking ... In this role, you will work at the intersection of deep learning compilers, GPU systems, and ...
Senior Deep Learning Tools Engineer - CUDA Tile
Salt Lake City, UT · On-site
$101K - $138K/yr
NVIDIA is building advanced compiler technologies to accelerate AI workloads, and they are looking ... In this role, you will work at the intersection of deep learning compilers, GPU systems, and ...
Senior Deep Learning Tools Engineer - CUDA Tile
Salt Lake City, UT · On-site
$101K - $138K/yr
NVIDIA is building advanced compiler technologies to accelerate AI workloads, and they are looking ... In this role, you will work at the intersection of deep learning compilers, GPU systems, and ...
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
Research Scientist Intern (2025)
Orem, UT · On-site
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
Research Scientist Intern (2025)
Orem, UT · On-site
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research
Machine Learning Tutor
Cedar City, UT · Remote
$18 - $40/hr
Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...
Machine Learning Tutor
Cedar City, UT · Remote
$18 - $40/hr
Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...
Machine Learning Tutor
Spanish Fork, UT · Remote
$18 - $40/hr
Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...
Machine Learning Tutor
Spanish Fork, UT · Remote
$18 - $40/hr
Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...
Machine Learning Tutor
Provo, UT · Remote
$18 - $40/hr
Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...
Machine Learning Tutor
Provo, UT · Remote
$18 - $40/hr
Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...
Machine Learning Tutor
Logan, UT · Remote
$18 - $40/hr
Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...
Machine Learning Tutor
Logan, UT · Remote
$18 - $40/hr
Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ...
This position applies deep expertise in advanced analytical tools such as generative AI, machine learning, deep learning, optimization, and statistical modeling to solve complex, high-impact business ...
This position applies deep expertise in advanced analytical tools such as generative AI, machine learning, deep learning, optimization, and statistical modeling to solve complex, high-impact business ...
A new computing model - GPU deep learning - that enables computers to learn from data and write ... Provide the best AI solutions using GPUs working directly with key customers * Collaborate closely ...
A new computing model - GPU deep learning - that enables computers to learn from data and write ... Provide the best AI solutions using GPUs working directly with key customers * Collaborate closely ...
Evaluate and adopt emerging AI, deep learning, and software engineering technologies that improve product innovation, platform scalability, and engineering productivity. * Partner with Product ...
Quick apply
Evaluate and adopt emerging AI, deep learning, and software engineering technologies that improve product innovation, platform scalability, and engineering productivity. * Partner with Product ...
Evaluate and adopt emerging AI, deep learning, and software engineering technologies that improve product innovation, platform scalability, and engineering productivity. * Partner with Product ...
Quick apply
Evaluate and adopt emerging AI, deep learning, and software engineering technologies that improve product innovation, platform scalability, and engineering productivity. * Partner with Product ...
Deep Learning Ai information
What is the difference between Deep Learning Ai vs Machine Learning Engineer?
| Aspect | Deep Learning Ai | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Degree in Computer Science, Data Science, or related fields; knowledge of neural networks | Degree in Computer Science, Data Science, or related fields; programming skills in Python, R |
| Work Environment | Research labs, AI development teams, tech companies focusing on AI models | Software development teams, data analysis projects across various industries |
| Industry Usage | Primarily in AI research, autonomous systems, NLP, computer vision | Across industries for predictive modeling, data analysis, automation |
Deep Learning Ai specialists focus on designing and implementing neural network models for complex AI tasks, often requiring advanced knowledge of deep neural networks. Machine Learning Engineers develop broader machine learning models, including traditional algorithms. While both roles require similar educational backgrounds, Deep Learning Ai roles are more specialized in neural networks and AI research, whereas Machine Learning Engineers work across a wider range of algorithms and applications.
What is the main job of deep learning in AI?
The main job of deep learning in AI is to develop models that can automatically learn complex patterns and representations from large amounts of data, enabling tasks such as image recognition, natural language processing, and speech understanding. Deep learning engineers design, train, and optimize neural networks using tools like TensorFlow or PyTorch to improve AI system performance.
What are some common challenges faced by professionals working in Deep Learning AI, and how can they be addressed?
Professionals in Deep Learning AI often encounter challenges such as managing large datasets, ensuring model accuracy, and addressing issues like overfitting. Collaboration with data engineers and domain experts is crucial to ensure high-quality data and relevant feature selection. Additionally, staying up-to-date with rapidly evolving frameworks and algorithms requires continuous learning and participation in knowledge-sharing within the team. Regular code reviews and experimentation with different architectures can help overcome technical obstacles and improve model performance.
What is the salary of AI and deep learning?
The salary for roles in AI and deep learning varies based on experience, location, and education, but typically ranges from $80,000 to over $150,000 annually for skilled professionals. Entry-level positions may start around $70,000, while senior roles or those requiring advanced skills in machine learning frameworks and programming languages can earn higher salaries.
What are the key skills and qualifications needed to thrive as a Deep Learning AI Engineer, and why are they important?
To thrive as a Deep Learning AI Engineer, you need a strong background in mathematics, programming (especially Python), and experience with neural networks, typically supported by a degree in computer science, engineering, or a related field. Proficiency with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of tools like CUDA for GPU acceleration, are essential; relevant certifications can be advantageous. Analytical thinking, creativity, and effective communication are important soft skills for solving complex problems and collaborating with cross-functional teams. These skills and qualities are crucial for building robust AI models and driving innovation in this rapidly evolving field.
Which 3 jobs will survive AI?
Deep Learning AI professionals will continue to find roles in research, model development, and AI ethics, as these areas require specialized expertise and human oversight. Jobs involving complex problem-solving, creativity, and emotional intelligence, such as AI research scientists, data scientists, and AI ethics specialists, are less likely to be fully automated. Skills in programming, data analysis, and understanding of AI frameworks will remain valuable in these roles.
What are Deep Learning AI professionals?
Deep Learning AI professionals are experts who design, develop, and implement artificial intelligence systems that use deep neural networks to analyze complex data and solve tasks such as image recognition, natural language processing, and autonomous decision-making. They work with large datasets and advanced algorithms to build models that can learn and improve over time. These professionals often have a background in computer science, mathematics, or engineering, and are skilled in programming languages like Python and frameworks such as TensorFlow or PyTorch.
What is a $900000 AI job?
A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing AI projects, developing innovative algorithms, and managing teams, with compensation reflecting the expertise and impact of the position.
What are popular job titles related to Deep Learning Ai jobs in Utah? For Deep Learning Ai jobs in Utah, the most frequently searched job titles are:
- Machine Learning Engineer Apprenticeship
- Contract Machine Learning Software Engineer
- Flexible Remote Machine Learning Engineer
- Deep Learning Engineer
- Machine Learning Engineer From Home
- Google Cloud Machine Learning Engineer
- Remote Cuda Developer
- Edge Ai Machine Learning
- Manager Remote Machine Learning Engineer
- Artificial Intelligence Programmer
What job categories do people searching Deep Learning Ai jobs in Utah look for? The top searched job categories for Deep Learning Ai jobs in Utah are:
- Machine Learning Engineer Opt
- Remote Triton Technologies
- Director Google Machine Learning Engineer
- Freelance Computer Vision Deep Learning Engineer
- Llm Training
- Reinforcement Learning Engineer Salary
- Machine Learning Manager
- Contract Computer Vision Deep Learning Engineer
- Contract Google Machine Learning Engineer
- Gpu Engineer Salary
What cities in Utah are hiring for Deep Learning Ai jobs? Cities in Utah with the most Deep Learning Ai job openings:
$101K - $138K/yr
Full-time
Posted 20 days ago
Nvidia rating
9.6
Based on 17 frontline employees who took The Breakroom Quiz
8th of 245 rated software companies
Job description
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
About Nvidia
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.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1993