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Nvidia Machine Learning Jobs in Texas (NOW HIRING)

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

Backend Compiler Engineer

Austin, TX

... Machine IR (MIR) * Experience in developing CUDA, DirectX, OpenGL/Vulkan applications NVIDIA ... More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ...

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 ...

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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 22, 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.
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:
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Nvidia Machine Learning jobs near you
Infographic showing various Nvidia Machine Learning job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $39,673 per year, or $19.1 per hour.
Senior Hardware SoC Architect

Senior Hardware SoC Architect

Nvidia

Austin, TX

Full-time

Posted 5 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

5th of 215 rated software companies

Job description

We are now looking for a Senior Hardware SoC Architect! Do you want to be a part of 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.

The NVIDIA SoC's Architecture team is seeking a high-quality architect for our Clock and Reset Architecture Team. This position requires an interest in clocks, resets and power management for SOCs. It will also require a strong background in System C-modeling and scripting and an interest in improving methodologies and automations for improving team efficiency.

What you'll be doing:

In this position, you will have the opportunity to work with a diverse set of teams to define clock and reset architecture, based on IP and product requirements. This involves working with a broad group of IP architects, designers, verification, Physical Design, Software, DFT, Security, Automotive Safety and others. You will be required to capture these requirements in various architecture documents clearly and drive their reviews. You will be required to develop and improve architectural C-models and support the teams that use them. You will also be required to review both upstream and downstream specifications and verification plans. Additionally, you would be involved in implementing methodologies that would help improve the efficiency of the team and the quality of our outputs.

What we need to see:

  • BS/MS in EE/CE (or equivalent experience)plus 3+ years of industry experience

  • Deep knowledge of clock generation, distribution and microarchitecture

  • Good understanding of Computer Architecture

  • Firsthand knowledge of ASIC design/verification/implementation flows

  • Strong C++/SystemC experience

  • Excellent written, verbal and negotiation skills, to work with others and build consensus

  • Expert analytical and independent problem-solving skills

  • Strong scripting skills in languages such as Perl or Python

  • Experience with Architectural Methodology, Flows and processes

Ways to stand out from the crowd:

  • Experience with Clock and Reset Architecture Definitionor Architectural C-Models

  • Detailed knowledge of one or moreof: 1) PLLs, DLLs, etc, 2) clock-related signal integrity effects, or 3) platform power and reset sequencing

  • First hand work experience with reset generation and distribution

  • Automotive Functional Safety working experience with ISO26262 standard

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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 20, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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