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 ...
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 ...
Senior Deep Learning Tools Engineer - CUDA Tile
Salt Lake City, UT · On-site
$101K - $138K/yr
... 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 ...
Senior Deep Learning Tools Engineer - CUDA Tile
Salt Lake City, UT · On-site
$101K - $138K/yr
... 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 ...
Internship - Machine Learning Engineer
Salt Lake City, UT · On-site
$110 - $150/hr
We are looking for a Machine Learning Engineer to own the end-to-end lifecycle of ML models in ... The ideal candidate is a strong engineer first, with deep practical knowledge of ML systems, a ...
Internship - Machine Learning Engineer
Salt Lake City, UT · On-site
$110 - $150/hr
We are looking for a Machine Learning Engineer to own the end-to-end lifecycle of ML models in ... The ideal candidate is a strong engineer first, with deep practical knowledge of ML systems, a ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Knowledge of deep learning frameworks and methodologies * Experience in applying machine learning ...
Machine Learning Engineer
West Jordan, UT · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
West Jordan, UT · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Ogden, UT · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Ogden, UT · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Senior Machine Learning Engineer
Sandy, UT · Hybrid
$99K - $136K/yr
As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech ... This role requires deep expertise in speech AI systems, strong quantitative skills, and the ...
Senior Machine Learning Engineer
Sandy, UT · Hybrid
$99K - $136K/yr
As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech ... This role requires deep expertise in speech AI systems, strong quantitative skills, and the ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Orem, UT · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Orem, UT · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Logan, UT · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Logan, UT · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Faculty Lead & Learning Engineer - Sciences
Lehi, UT · On-site
$96K - $126K/yr
Deep disciplinary expertise in one or more core sciences; comfortable stewarding courses across the ... Collaborate with Learning Design, Product, and Engineering to ship high-quality, technology-enabled ...
Faculty Lead & Learning Engineer - Sciences
Lehi, UT · On-site
$96K - $126K/yr
Deep disciplinary expertise in one or more core sciences; comfortable stewarding courses across the ... Collaborate with Learning Design, Product, and Engineering to ship high-quality, technology-enabled ...
Senior Machine Learning Engineer
Sandy, UT · On-site
$99K - $136K/yr
As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech ... This role requires deep expertise in speech AI systems, strong quantitative skills, and the ...
Senior Machine Learning Engineer
Sandy, UT · On-site
$99K - $136K/yr
As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech ... This role requires deep expertise in speech AI systems, strong quantitative skills, and the ...
Senior Machine Learning Engineer
Sandy, UT · On-site
$113K - $150K/yr
As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech ... This role requires deep expertise in speech AI systems, strong quantitative skills, and the ...
Senior Machine Learning Engineer
Sandy, UT · On-site
$113K - $150K/yr
As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech ... This role requires deep expertise in speech AI systems, strong quantitative skills, and the ...
Machine Learning Tutor
Spanish Fork, UT · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Spanish Fork, UT · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Provo, UT · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Machine Learning Tutor
Provo, UT · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...
Deep Learning Engineer information
See Utah salary details
$34.6K - $47.3K
5% of jobs
$47.3K - $60K
7% of jobs
$60K - $72.7K
9% of jobs
$75.4K is the 25th percentile. Wages below this are outliers.
$72.7K - $85.4K
14% of jobs
The median wage is $96.8K / yr.
$85.4K - $98.1K
16% of jobs
$98.1K - $110.8K
13% of jobs
$110.8K - $123.5K
6% of jobs
$130.3K is the 75th percentile. Wages above this are outliers.
$123.5K - $136.2K
8% of jobs
$136.2K - $148.9K
8% of jobs
$148.9K - $161.6K
7% of jobs
$161.6K - $174.3K
5% of jobs
$34.6K
$105.5K
$174.3K
How much do deep learning engineer jobs pay per year?
As of Aug 19, 2026, the average yearly pay for deep learning engineer in Utah is $105,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,600.00 and $137,900.00 per year, depending on experience, location, and employer.
What is a deep learning engineer?
A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.
What does a deep learning engineer do?
Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.
What skills and qualifications does a deep learning engineer need?
To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.
Are deep learning engineers in demand?
Deep learning engineers are in high demand due to the growth of artificial intelligence and machine learning applications across industries such as technology, healthcare, and finance. They typically require skills in neural networks, programming languages like Python, and frameworks such as TensorFlow or PyTorch, with job opportunities increasing as AI adoption expands.
What are the most commonly searched types of Deep Learning Engineer jobs in Utah?
The most popular types of Deep Learning Engineer jobs in Utah are:
What are popular job titles related to Deep Learning Engineer jobs in Utah?
For Deep Learning Engineer jobs in Utah, the most frequently searched job titles are:
- Machine Learning Engineer New Grad
- Machine Learning Engineer From Home
- Machine Learning Engineer Apprenticeship
- Senior Machine Learning Engineer
- Remote Machine Learning Engineer
- Machine Learning Engineer Intern
- Junior Machine Learning Engineer
- Flexible Remote Machine Learning Engineer
- Machine Learning Engineer
- Google Cloud Machine Learning Engineer
What job categories do people searching Deep Learning Engineer jobs in Utah look for?
The top searched job categories for Deep Learning Engineer jobs in Utah are:
- Home Based Nvidia Machine Learning
- Machine Learning Engineer Quantization
- Founding Machine Learning Engineer
- Remote Machine Learning Compiler Engineer
- Machine Learning Engineer Associate
- Gpu Engineer Salary
- Urgently Hiring Machine Learning Startup
- Machine Learning Engineer Hybrid
- Physics Informed Machine Learning
- Seasonal Medical Imaging Machine Learning
What cities in Utah are hiring for Deep Learning Engineer jobs?
Cities in Utah with the most Deep Learning Engineer job openings:
$101K - $138K/yr
Full-time
Re-posted 14 days ago
Nvidia rating
9.6
Based on 17 frontline employees who took The Breakroom Quiz
7th 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