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Nvidia Deep Learning Jobs in Texas (NOW HIRING)

Deep Learning Frameworks: Practical experience applying industry-standard frameworks, specifically PyTorch and TensorFlow. NVIDIA offers highly competitive salaries and a comprehensive benefits ...

... deep learning workflows • Root cause analysis and suggest corrective action for problems large ... NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

This team drives memory system architecture in NVIDIA's world changing SOCs for deep-learning, autonomous vehicles and robotics, mobile systems, server systems, and gaming. NVIDIA has some of the ...

New

More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that ...

Would you like to work with world-class systems architects and deep learning professionals to define the next generation CPUs and System on Chips? NVIDIA is developing processor and system ...

Senior CPU Performance Architect

Austin, TX · On-site

$165K/yr

... deep learning (DL), high-performance computing (HPC), cloud service providers (CSP), gaming ... Benchmark NVIDIA's CPU offerings against competition and suggest software or hardware improvements.

Senior GPU Compiler Development Engineer

Austin, TX · On-site

$121K - $160K/yr

... for Deep Learning and Generative AI applications on GPUs. Responsibilities : • Provide ... NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

Would you like to work with world-class systems architects and deep learning experts to define the next generation SoC?NVIDIA is developing processor and system architectures that are at the ...

... deep learning (DL), high-performance computing (HPC), cloud service providers (CSP), gaming ... NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI, HPC, and ...

Showing results 41-60

Nvidia Deep Learning information

What is an Nvidia Deep Learning job?

An Nvidia Deep Learning job typically involves working with AI, machine learning, and deep learning technologies to develop, optimize, and deploy neural network models. Employees in these roles may work on GPU acceleration, AI frameworks like TensorFlow and PyTorch, and specialized hardware like NVIDIA GPUs and TensorRT. Positions can range from research scientists and software engineers to AI infrastructure specialists, focusing on improving model performance and scalability. These professionals contribute to cutting-edge AI applications in fields like autonomous vehicles, healthcare, and robotics.

What are the main challenges faced by professionals working in Nvidia Deep Learning roles?

Professionals in Nvidia Deep Learning positions often encounter challenges such as optimizing deep learning models to run efficiently on GPU architectures, keeping up with rapidly evolving AI frameworks, and troubleshooting complex system-level integration issues. They may also need to balance tight project deadlines with the demands of rigorous research and experimentation. Collaboration with interdisciplinary teams—such as software developers, data scientists, and hardware engineers—is common and essential to deliver robust solutions. Overcoming these challenges helps professionals stay at the forefront of innovation in the AI and deep learning industry.

What are the key skills and qualifications needed to thrive in the Nvidia Deep Learning position, and why are they important?

Excelling in an Nvidia Deep Learning role requires a strong background in computer science, machine learning, and mathematics, often supported by an advanced degree in a related field. Expertise in deep learning frameworks (such as TensorFlow or PyTorch), CUDA programming, and experience with Nvidia GPU hardware are typically expected, along with relevant certifications like Nvidia Deep Learning Institute credentials. Strong analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this position. These skills are crucial to efficiently develop, optimize, and deploy deep learning models leveraging Nvidia technologies in cutting-edge applications.

What are popular job titles related to Nvidia Deep Learning jobs in Texas? For Nvidia Deep Learning jobs in Texas, the most frequently searched job titles are:
Infographic showing various Nvidia Deep Learning job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

Senior Software Technical Program Manager

Nvidia

Austin, TX • On-site

Full-time

Posted 7 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

NVIDIA's Compiler team is dedicated to bringing best-in-class compiler technology to NVIDIA's developer community spanning across multiple domains like Deep Learning/ Machine Learning, High Performance Computing, Graphics and Automotive. NVIDIA is looking for a Senior Technical Program Manager to be a key member of our Compiler Development team. A best-in-class professional who will be directly responsible for delivering the newest and most up to date compilers to our developers and the success of various product releases. A strong leader who is an authority in cross functional team coordination, comfortable in a matrixed organization, responsible for driving software development and documenting the process from concept to delivery. As an independent problem solver, you will engage in initiatives relating to process development/ implementation for the Compiler organization. If you want to be part of innovative technology for powerful GPU graphics and compute technologies, delivering new groundbreaking features for compute programs which include CUDA, Machine Learning, Deep Learning and Artificial Intelligence; we have an outstanding opportunity for you!

What you'll be doing:

  • Hands on driving software programs and processes. Leading multi-functional team members in a matrix organization to deliver projects on time.

  • Leading projects in both Waterfall and Agile methodologies.

  • Authoritatively presenting project status to multi-functional teams as well as executive management.

  • Working independently, take-charge and influence with minimal mentorship

  • Working with global partners across multiple time zones, geographies, and diverse technical fields to define work you're doing, report on status, and deliver projects to expectations.

  • Influencing other teams by creating an efficient/accountable development environment through process development and process improvement.

  • Observing and following defined processes for escalation if the execution of planned work product tasks is not on track.

  • Thinking strategically and tactically. Someone who can distill sophisticated projects down to manageable tasks and landmarks and optimally disseminate them to the multi-functional teams.

What we need to see:

  • Bachelor of Science or equivalent experience in Electronic Engineering, Computer Science or related technical degree.

  • 8+ years in a similar or related role.

  • Passionate about details and an authority at multitasking.

  • Validated Software Engineering background and technical skills.

  • Ability to investigate technical issues. Attention to detail.

  • Knowledge of operating systems, software development standard methodologies, and compilers are highly valued.

  • Strong written and verbal presentation skills

  • Creative problem solver, able to resolve technical issues and conflicting priorities.

  • Track record of understanding and implementing the foundational program management skills; risk management, tracking and monitoring, meeting facilitation, domain expertise, time management, and problem-solving skills.

Ways to stand out from the crowd:

  • Craft and implement new processes for workflow between different teams.

  • GPU, CUDA, Compiler and/or AI knowledge.

  • Experience with project management tools, like JIRA (Atlassian Project Management & Teamwork Software), MS Project. Implementing tool automation in support of this role is plus.

  • Creatively resolving technical issues and resource conflicts through consensus and team building to delivering sophisticated products to customers.

  • Project Management Professional Certification.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 2, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

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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