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Nvidia Machine Learning Jobs in Texas (NOW HIRING)

Nvidia

EDA Methodology Architect

Austin, TX · Hybrid

$165K/yr

Our team develops these tools by fusing advances in parallel computing, machine learning, and ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...

Nvidia

Senior ASIC Verification Engineer

Austin, TX

NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life's work, to ...

Nvidia

Senior Software Engineer, DL Compilers

Austin, TX · On-site

$121K - $160K/yr

We're hiring senior software engineers for a compiler team within NVIDIA's deep learning software ... code generation machinery underneath. * Designing and implementing compiler passes, IRs, and ...

Nvidia

Senior Physical Design Engineer

Austin, TX

NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life's work, to ...

NVIDIA

Senior Compiler Engineer - Backend

Austin, TX

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Our Compiler team is responsible for constructing and emitting the highest performance GPU machine ...

Nvidia

Senior Physical Design Engineer

Austin, TX

NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life's work, to ...

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Nvidia Machine Learning information

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$23.8K

$39.7K

$82K

How much do nvidia machine learning jobs pay per year?

As of Jun 9, 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, and why are they important?

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.

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Nvidia Machine Learning jobs near you
Senior Power Methodology and Modeling Engineer

Senior Power Methodology and Modeling Engineer

Nvidia

Austin, TX

$103K - $142K/yr

Full-time

Posted 9 days ago

Job description

As a member of the Architecture Energy Modeling Team, you will collaborate with Architects, ASIC Design Engineers, Low Power Engineers, Performance Engineers, Software Engineers, and Physical Design teams to study and implement energy modeling techniques for NVIDIA's next generation GPUs, CPUs and Tegra SOCs. Your contributions will help us understand energy usage in graphics and AI workloads and make improvements in architecture, design, and power management.

Today, NVIDIA is 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. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world!

What you'll be doing:

  • Define and implement tools and methodologies for efficient data generation from post layout netlists to feed into data movement power analytical model.

  • Develop tools and infrastructure to sanitize each metric in the model to achieve high correlation accuracy.

  • Define and implement tools and methodologies for efficient integration of power models with performance tools.

  • Identify runtime and memory limitation of existing flows and tools to speedup model delivery process.

  • Mine data from pre- and post-silicon performance runs to find important data paths and bottlenecks. Give feedback to design teams and improve power efficiency.

  • Work with floorplan, performance, verification and emulation methodology and infrastructure development teams to integrate data movement power models.

  • Experiment with various ML techniques to answer what-if design questions and set proper power/energy targets for next generation chips.

  • Enable efficient storage and retrieval of data from database.

  • Enable easy visualization of data using platforms such as PowerBI, OpenSearch.

What we need to see:

  • MS (or equivalent experience) with proven experience or PhD in related fields

  • 5+ years of experience

  • Strong coding skills, preferably in Python, C++.

  • Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities.

  • Strong background of VLSI, digital design, and computer architecture concepts.

  • Good understanding of fundamental concepts of power and energy consumption, estimation, and low power design.

  • Basic understanding of chip design process from RTL design to tape-out.

  • Background in machine learning, AI, and/or statistical modeling is a plus.

  • Desire to bring quantitative decision-making and analytics to improve the energy efficiency of our products.

NVIDIA is 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. Are you creative and autonomous? Do you love a challenge? If so, 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 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 3, 2026.

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.
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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

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