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Nvidia Machine Learning Jobs in Texas (NOW HIRING)

Nvidia

Principal SoC Architect - Hardware

Austin, TX

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 ...

Nvidia

Datacenter GPU Power Architect

Austin, TX

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

Senior Hardware SoC Architect

Austin, TX

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 ...

Nvidia

Principal Graphics Developer Tools Engineer

Austin, TX

$138K - $171K/yr

... machine learning or generative AI techniques to software development workflows. * Contributions to game engines, graphics middleware, graphics SDKs, or open-source graphics projects. NVIDIA is widely ...

Nvidia

Senior Verification Engineer, SoC

Austin, TX · Hybrid

NVIDIA operates as a "learning machine," constantly adapting to new opportunities that only we can pursue and that matter globally. Our worldwide team of talented people aims to push the boundaries ...

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 ...

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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 Jul 2, 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.

How much do NVIDIA machine learning engineers make?

NVIDIA machine learning engineers typically earn between $100,000 and $160,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized expertise in deep learning and GPU programming can earn higher salaries, often exceeding $180,000. Compensation may also include bonuses and stock options in competitive tech environments.

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.

Does NVIDIA do machine learning?

Nvidia offers extensive tools and platforms for machine learning, including GPUs optimized for training and deploying models. Many machine learning engineers and researchers use Nvidia hardware and software frameworks like CUDA and cuDNN to accelerate AI development. The company also provides AI-focused products and solutions for various industries.

Is it hard to get hired at NVIDIA?

Getting hired for a machine learning role at NVIDIA can be competitive due to the company's focus on advanced technology and innovation. Candidates typically need strong technical skills in deep learning, programming, and relevant experience, along with a solid educational background. The hiring process often involves multiple interviews and technical assessments to evaluate expertise and problem-solving abilities.

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.

Is ML a high paying job?

Machine Learning roles, including positions like Nvidia Machine Learning engineers, are generally well-paid due to high demand for specialized skills in AI, data analysis, and programming. Salaries vary based on experience, location, and company, but these jobs tend to offer above-average compensation compared to many other tech roles.
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Nvidia Machine Learning jobs near you
Infographic showing various Nvidia Machine Learning job openings in Texas as of June 2026, with employment types broken down into 2% As Needed, 52% Full Time, 44% Part Time, and 2% Nights. Highlights an 88% Physical, 6% Hybrid, and 6% Remote job distribution, with an average salary of $39,673 per year, or $19.1 per hour.
Principal SoC Architect - Hardware

Principal SoC Architect - Hardware

Nvidia

Austin, TX

Full-time

Posted 27 days ago

Job description

We are now looking for a Principal Hardware SoC Architect for our Tegra team! Do you want to be part of the Artificial Intelligence Revolution? 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 forefront of accelerating machine learning, automotive and high-performance computing applications. We are building the most advanced SoC's in the world for these applications and are looking for SoC architects to join our effort. In this position, you will have the chance to define future aspects of our architectures that bring together NVIDIA GPUs, custom processors and accelerators into a single chip. Your role will be cross-disciplinary, working with software, ASIC design, verification, physical design, VLSI and platform teams. Our SoC architects excel at pushing the state of the art, while making the best engineering trade-offs.

What you'll be doing:

  • Hardware architecture end-to-end lifecycle ownership

  • Drive Architecture/Software/Hardware co-design and collaboration on features set

  • Perform performance, perf @ watt, perf / sq. mm modeling or analysis and track through design (where applicable)

  • Architecture and requirements specification authoring, review, and System C model development (where applicable)

  • Architectural validation plan and execution

  • Review downstream specifications and verification plans in ASIC, software and/or platform to ensure requirements are followed

  • Post-Silicon production support with silicon debug and publishing of customer documentation

  • Industry standards tracking & 3rd party IP technical evaluation

  • Patenting novel parts of system architecture

What we need to see:

  • Bachelors, Masters or PhD degree in Computer Engineering, Electrical Engineering (or equivalent experience)

  • 15+ years of architecture, design and/or verification experience

  • You have meaningful industry expertise in SoC architecture definition - Clocks, Resets, Automotive safety, Interconnects, Memory Controller, Boot, Virtualization, Power Management, Security, System Performance, IO technologies, (PCIE, Camera Interfaces, etc), Multimedia accelerator pipelines, CPU/GPU coherency, Platform integration

  • Comfortable communicating and solving issues at all levels of architecture definition from micro-architecture to system level to software architecture

  • Excellent analytical, written, and verbal interpersonal skills and ability to work as part of a team

Ways to stand out from the crowd:

  • Automotive Functional Safety expertise, working experience with ISO26262 standard.

  • System C or C++ development skills, or relevant programming experience.

  • Inventions in one or more domains relevant to SoC architecture.

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. If you're creative, autonomous and love a challenge, 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 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 9, 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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