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Nvidia Engineering Jobs in Texas (NOW HIRING)

NVIDIA

Senior LLVM Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

... for NVIDIA's technical needs through credible engineering arguments, prototypes, and sustained community engagement • Collaborate with internal compiler teams to identify which downstream ...

Nvidia

Senior LLVM Compiler Engineer

Austin, TX

$103K - $142K/yr

Advocate for NVIDIA's technical needs through credible engineering arguments, prototypes, and sustained community engagement * Collaborate with internal compiler teams to identify which downstream ...

Nvidia

Senior Developer Technology Engineer - AI

Austin, TX · Hybrid

$54 - $71.25/hr

... at NVIDIA. What we need to see: * A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or additional equivalent experience). * You have 8+ ...

Nvidia

Senior Compiler Engineer Infrastructure

Austin, TX · On-site +1

$107K - $146K/yr

... engineering workflows * Background in GPU programming, CUDA, or parallel programming models * Familiarity with deep learning frameworks and performance-sensitive workloads on NVIDIA GPUs With highly ...

Nvidia

Senior GPU Compiler Development Engineer

Austin, TX

$121K - $160K/yr

Work with NVIDIA GPU Architecture and CUDA Programming model teams to build abstractions to expose new GPU features in portable and performant ways in PTX ISA. PTX Compiler (PTXAS) apart from ...

Nvidia

Senior CPU Design Engineer

Austin, TX · Hybrid

NVIDIA is seeking best-in-class CPU Design Engineers to design the world's leading CPUs. This position offers you the opportunity to have a real impact in a dynamic, technology-focused company ...

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Nvidia Engineering information

See Texas salary details

$43.3K

$136.8K

$162.1K

How much do nvidia engineering jobs pay per year?

As of Jun 27, 2026, the average yearly pay for nvidia engineering in Texas is $136,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $161,200.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in specialized fields such as software, hardware, or systems engineering at major technology companies can earn $500,000 or more annually, often including bonuses, stock options, and other compensation. Achieving this level typically requires extensive experience, advanced skills, and sometimes leadership roles or executive responsibilities.

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

To thrive in Nvidia Engineering, candidates typically need strong proficiency in computer engineering, software development, and a solid understanding of hardware architecture, often backed by a relevant degree such as Electrical Engineering or Computer Science. Familiarity with tools like CUDA, C/C++, Python, and version control systems, as well as experience with GPU programming, are highly valued, and certifications such as Nvidia's Deep Learning Institute credentials can enhance a candidate's profile. Excellent problem-solving, team collaboration, and communication skills set top performers apart in this role. These skills and qualifications enable engineers to contribute effectively to complex, innovative projects that drive Nvidia's technological advancements.

What is an Nvidia Engineering job?

An Nvidia Engineering job involves designing, developing, and optimizing hardware or software solutions in areas such as graphics processing, AI, and high-performance computing. Engineers at Nvidia work on cutting-edge technologies, including GPUs, deep learning frameworks, and system architecture. Roles vary from hardware design and verification to software development and AI research, depending on expertise. Strong skills in programming, computer architecture, and problem-solving are typically required.

Which engineers does NVIDIA hire?

NVIDIA hires a variety of engineers including hardware engineers, software engineers, AI and deep learning engineers, and systems engineers. Candidates typically need strong technical skills, experience with programming languages like C++ and Python, and knowledge of GPU architectures or AI frameworks. The company values innovation, collaboration, and relevant technical certifications or degrees in engineering or computer science.

Is it hard to get hired at NVIDIA?

Getting hired as an engineer at NVIDIA can be competitive due to the company's reputation and high standards. Candidates typically need strong technical skills, relevant experience, and a solid understanding of areas like GPU architecture, software development, or AI. The hiring process often involves multiple interviews and technical assessments.

What types of projects do Nvidia Engineers typically work on, and how is teamwork structured within the engineering department?

Nvidia Engineers commonly engage in projects related to GPU development, AI and deep learning solutions, software driver optimization, and next-generation hardware innovation. Project teams are often multidisciplinary, bringing together software, hardware, and systems engineers to collaborate closely on end-to-end product development. Engineers frequently work in agile, fast-paced environments, attend regular team stand-ups, and participate in cross-functional meetings. This collaborative structure fosters creativity, accelerates problem-solving, and ensures high-quality product delivery while offering team members exposure to diverse technologies and career growth opportunities.

How much do NVIDIA engineers get paid?

NVIDIA engineers' salaries vary based on experience, role, and location, but the average annual salary for software engineers at NVIDIA typically ranges from $100,000 to $150,000. Senior engineers and those with specialized skills in AI, graphics, or hardware may earn higher compensation, often including bonuses and stock options.
What are the most commonly searched types of Nvidia Engineering jobs in Texas? The most popular types of Nvidia Engineering jobs in Texas are:
What are popular job titles related to Nvidia Engineering jobs in Texas? For Nvidia Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Nvidia Engineering jobs in Texas look for? The top searched job categories for Nvidia Engineering jobs in Texas are:
What cities in Texas are hiring for Nvidia Engineering jobs? Cities in Texas with the most Nvidia Engineering job openings:
Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in Texas as of June 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 83% In-person, 2% Hybrid, and 15% Remote job distribution, with an average salary of $136,830 per year, or $65.8 per hour.
OEM Solutions Architect - AI Full Stack Public Sector

OEM Solutions Architect - AI Full Stack Public Sector

Nvidia

Austin, TX

$62.50 - $82.25/hr

Full-time

Posted 7 days ago

Job description

NVIDIA seeks a forward-thinking Solutions Architect to lead as the main technical authority for our Federal partnership. This significant role involves linking NVIDIA's accelerated computing platform with Federal infrastructure. You will assist U.S. Government agencies and Contractors in developing the next generation of "Sovereign AI."

You will lead the technical strategy for the AI Factory with NVIDIA. You will ensure Federal customers-from the DoD and Intelligence Community to Civilian agencies-can deploy Generative AI at scale. You are part architect, part developer advocate, and part strategic advisor. You move comfortably from deep-code optimizations to C-Suite mission briefings.

You must be a U.S. Citizen to apply for this position.

What you'll be doing:

  • Serve as the lead technical expert for Federal accounts and FSIs. Encourage the use of NVIDIA-on-OEM architectures by developing strategic solutions and conducting in-depth technical workshops.

  • Full-Stack Infrastructure Architecture: Define and optimize the "AI Factory" for Federal use cases, integrating NVIDIA solutions through OEM server, storage, and NVIDIA Spectrum-X networking into cohesive, high-performance mission solutions.

  • Lead the development of POCs and guide the integration of the NVIDIA software stack. This includes NIM, NeMo, Dynamo, and TensorRT-LLM. The integration targets production-grade environments for workloads such as DSP, GEOINT, and Cyber Analytics.

  • Provide the technical expertise needed to navigate complex AI clusters within Federal security frameworks. These include FedRAMP, IL5/IL6, and air-gapped (SCIF) environments.

  • Act as a strategic conduit between Federal customers and NVIDIA engineering teams. Translate outstanding public sector requirements into actionable feedback. Influence future GPU, networking, and software roadmaps.

What We Need To See:

  • A BS, MS, or PhD degree or equivalent experience in fields like CS, EE, or Physics is required. Candidates should possess more than 10 years of professional experience. At least 7 years must involve technical pre-sales or architecture roles supporting U.S. Federal missions (DoD, IC, or Civilian).

  • Infrastructure & Data Center Mastery: Expert knowledge of full-stack data center architecture, including x86/ARM systems, high-performance storage solutions, and low-latency networking (InfiniBand/RDMA).

  • Hands-on experience covers the entire AI lifecycle. This includes data curation, fine-tuning (LoRA/QLoRA), and large-scale inference orchestration with Kubernetes or Slurm.

  • Strategic Mission Communication: Outstanding ability to translate complex AI architectures into mission-relevant outcomes for GS-level leadership while maintaining deep technical credibility with engineers and data scientists.

  • Operational Agility & Leadership: A self-starter approach with the proven ability to manage multiple complex, high-visibility projects within a fast-paced and multifaceted OEM partner ecosystem.

Ways To Stand Out From The Crowd:

  • Dell Ecosystem Expertise: Proven experience with Dell PowerEdge GPU servers and Dell's management software (OpenManage, APEX).

  • Active Security Clearance: An active U.S. Government security clearance (Secret or TS/SCI) is highly preferred.

  • Developer Depth: Strong programming skills in C/C++, Python, and CUDA, with experience profiling and optimizing code for GPU acceleration.

  • Domain Expertise: Deep technical background in Digital Signal Processing (DSP), Cybersecurity, or Autonomous Systems.

  • Ecosystem Influence: Experience working with major Defense Contractors (e.g., Lockheed Martin, Raytheon, Northrop Grumman) to integrate AI into mission platforms.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 24, 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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