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Tensorflow Developer Jobs in Utah (NOW HIRING)

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and ... TensorFlow, PyTorch, etc.). * Experience implementing CI/CD pipelines, MLOps practices, and ...

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and ... TensorFlow, PyTorch, etc.). * Experience implementing CI/CD pipelines, MLOps practices, and ...

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global ... Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch * Good ...

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global ... Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch * Good ...

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Showing results 1-20

Tensorflow Developer information

See Utah salary details

$17

$41

$91

How much do tensorflow developer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for tensorflow developer in Utah is $41.23, according to ZipRecruiter salary data. Most workers in this role earn between $21.44 and $49.90 per hour, depending on experience, location, and employer.

What does a TensorFlow developer do?

As a Tensorflow Developer, your daily tasks often include designing, coding, and refining machine learning models using Tensorflow, as well as preprocessing data and evaluating model performance. You may also be responsible for integrating models into production systems, troubleshooting issues, and collaborating closely with data scientists, engineers, and product teams. Staying updated with the latest developments in the machine learning ecosystem and optimizing solutions for scalability and efficiency are also common aspects of this role. By working on diverse projects, you'll have opportunities to deepen your understanding and broaden your expertise in different application areas.

What is a TensorFlow developer?

A TensorFlow Developer is responsible for designing, building, and deploying machine learning models using TensorFlow, an open-source deep learning framework. They work with neural networks, data preprocessing, and optimization techniques to improve model performance. Their role often includes collaborating with data scientists and engineers to integrate models into applications, ensuring scalability and efficiency. TensorFlow Developers typically have expertise in Python, TensorFlow libraries, and deep learning concepts.

What are the key skills and qualifications needed to thrive as a TensorFlow developer?

To thrive as a Tensorflow Developer, you need a solid understanding of machine learning and deep learning principles, strong Python programming skills, and practical experience with the Tensorflow framework. Familiarity with tools such as Tensorboard, Keras, and cloud-based ML platforms, as well as relevant certifications like TensorFlow Developer Certificate, is highly valued. Problem-solving ability, attention to detail, and effective teamwork and communication skills help set top candidates apart. These competencies enable developers to design, implement, and optimize machine learning models that address complex business challenges in a collaborative environment.

What are popular job titles related to Tensorflow Developer jobs in Utah? For Tensorflow Developer jobs in Utah, the most frequently searched job titles are:
Infographic showing various Tensorflow Developer job openings in Utah as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $85,756 per year, or $41.2 per hour.

Senior Deep Learning Tools Engineer - CUDA Tile

NVIDIA

Salt Lake City, UT • On-site

$101K - $138K/yr

Full-time

Re-posted 8 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

Job Summary:
NVIDIA is building advanced compiler technologies to accelerate AI workloads, and they 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.
Responsibilities:
• 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
Qualifications:
Required:
• 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
Preferred:
• 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
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

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