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Nvidia Machine Learning Jobs in Texas (NOW HIRING)

Senior Compiler Engineer - AI

Austin, TX · On-site

$121K - $160K/yr

The ideal candidate brings broad experience across machine learning, including reinforcement ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...

Senior Developer Technology Engineer - AI

Austin, TX · Hybrid

$54 - $71.25/hr

... in deep learning, machine learning or other AI domains. * Work directly with other technical ... NVIDIA's success in the advancement and availability of Artificial Intelligence has created ...

You will help with Performance vs Power Analysis, track ASIC milestones for impactful NVIDIA future product lineup. * Deploy machine learning techniques to develop highly accurate power and ...

NVIDIA is developing processor and system architectures that are at the forefront of accelerating machine learning, automotive and high-performance computing applications. We are building the most ...

Showing results 21-40

Nvidia Machine Learning information

See Texas salary details

$23.8K

$39.7K

$82K

How much do nvidia machine learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for nvidia machine learning in Texas is $39,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

What is a Nvidia machine learning job?

A Nvidia Machine Learning job involves developing and optimizing AI models, deep learning frameworks, and GPU-accelerated applications. Engineers in this role work on cutting-edge research, building scalable ML solutions, and improving performance on Nvidia hardware like GPUs and AI accelerators. They collaborate with software and hardware teams to enhance AI capabilities across industries such as gaming, healthcare, and autonomous systems. Strong coding skills in Python, C++, and experience with ML frameworks like TensorFlow or PyTorch are often required.

What are the key skills and qualifications needed to thrive in the Nvidia machine learning position?

To thrive in an Nvidia Machine Learning role, a deep understanding of machine learning algorithms, proficiency in programming languages like Python or C++, and a solid background in mathematics or computer science are essential. Experience with Nvidia's CUDA, TensorRT, cuDNN, and familiarity with modern deep learning frameworks such as TensorFlow or PyTorch are highly valued, as are relevant certifications in AI or data science. Strong problem-solving skills, teamwork, and effective communication distinguish top candidates in collaborative, fast-paced environments. These skills are crucial for developing and optimizing AI solutions that leverage Nvidia’s advanced hardware and software platforms.

What are some common challenges faced by professionals in Nvidia machine learning roles?

One common challenge in Nvidia Machine Learning roles is optimizing models to fully leverage GPU architectures for both performance and efficiency, which requires continuous learning as the technology rapidly evolves. Team members often work on complex, large-scale projects that demand close collaboration across software, hardware, and research divisions. Navigating the fast pace of innovation and contributing effectively to cross-functional teams is essential for success. However, these challenges also make the role exciting and offer excellent opportunities for professional growth and hands-on experience with state-of-the-art AI solutions.

What are the most commonly searched types of Nvidia Machine Learning jobs in Texas? The most popular types of Nvidia Machine Learning jobs in Texas are:
What are popular job titles related to Nvidia Machine Learning jobs in Texas? For Nvidia Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Nvidia Machine Learning jobs in Texas look for? The top searched job categories for Nvidia Machine Learning jobs in Texas are:
Infographic showing various Nvidia Machine Learning job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,673 per year, or $19.1 per hour.

Senior Software Technical Program Manager

Nvidia

Austin, TX • On-site

Full-time

Posted 13 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 243 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 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:

  • Experience with Open Source ecosystems and challenges, LLVM upstream contributions, and repository mirroring and unification.

  • Compiler, GPU, CUDA , AI knowledge.

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

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous program manager with a real passion for technology, we want to hear from you.

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 4, 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

Workplace

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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