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Freelance Nvidia Machine Learning Jobs in Texas (NOW HIRING)

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 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 ...

Sincera Technologies, Inc.

AI/ML Engineer

Dallas, TX · On-site

... Machine Learning , and model development. * Experience with robotics simulation, reinforcement learning, computer vision , or autonomous systems is highly preferred. * Familiarity with the NVIDIA GPU ...

Nvidia

Senior Software Engineer - Local AI

Austin, TX · On-site

$121K - $160K/yr

Understanding modern techniques in Machine Learning, Deep Neural Networks, and Generative AI with ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

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 ...

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Freelance Nvidia Machine Learning information

What does a freelance Nvidia machine learning specialist do?

A Freelance Nvidia Machine Learning specialist is an independent contractor who uses Nvidia hardware and software platforms, such as CUDA and TensorRT, to develop, optimize, and deploy machine learning models. These professionals often work with clients to accelerate AI workloads, implement deep learning solutions, and leverage GPU computing for data processing tasks. Their projects may include computer vision, natural language processing, or other AI applications that benefit from Nvidia’s technology stack. Freelancers in this field need strong programming skills, familiarity with Nvidia SDKs, and experience optimizing models for high-performance computing environments.

What are the key skills and qualifications needed to thrive as a freelance Nvidia machine learning specialist?

To thrive as a Freelance Nvidia Machine Learning Engineer, you need a strong background in machine learning principles, deep learning frameworks (such as TensorFlow or PyTorch), and proficiency in Python programming, often supported by a relevant degree or certifications. Familiarity with Nvidia hardware (GPUs), CUDA programming, and tools like Nvidia Deep Learning SDKs is essential for optimizing and deploying models efficiently. Exceptional problem-solving, self-management, and client communication skills help you deliver effective solutions and maintain successful freelance relationships. Mastery of these skills ensures you can build high-performance models, meet client expectations, and stay competitive in the rapidly evolving ML landscape.

What are some common challenges freelance Nvidia machine learning specialists face when working with clients remotely?

Freelance Nvidia Machine Learning specialists often encounter challenges such as ensuring compatibility between client hardware and Nvidia GPU requirements, effectively communicating technical needs and project progress to non-expert clients, and managing project timelines without in-person oversight. Additionally, freelancers may need to set up secure access to client data or cloud environments, which can require extra coordination. Proactively clarifying expectations, maintaining clear documentation, and staying current with Nvidia's latest tools (like CUDA, cuDNN, or TensorRT) are essential strategies for overcoming these challenges.

What is the difference between Freelance Nvidia Machine Learning vs Freelance Data Scientist?

AspectFreelance Nvidia Machine LearningFreelance Data Scientist
Required CredentialsKnowledge of Nvidia GPU architectures, CUDA programming, machine learning frameworksStatistics, programming, data analysis skills, often with similar certifications
Work EnvironmentProject-based, remote, often with tech companies or startupsProject-based or consulting, remote or on-site, across various industries
Industry UsageAI, deep learning, GPU-accelerated applicationsData analysis, predictive modeling, business insights

Freelance Nvidia Machine Learning specialists focus on GPU-accelerated AI projects using Nvidia technologies, while Freelance Data Scientists handle broader data analysis and modeling tasks. Both roles are in high demand for tech-driven projects but differ in technical focus and tools used.

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 Freelance Nvidia Machine Learning jobs in Texas?

For Freelance Nvidia Machine Learning jobs in Texas, the most frequently searched job titles are:

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The top searched job categories for Freelance Nvidia Machine Learning jobs in Texas are:

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Cities in Texas with the most Freelance Nvidia Machine Learning job openings:

Freelance Nvidia Machine Learning jobs near you

Principal Graphics Developer Tools Engineer

Nvidia

Austin, TX

$138K - $171K/yr

Full-time

Re-posted 3 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 245 rated software companies

Job description

The Graphics Developer Tools team is seeking an exceptional technical leader to help shape the future of graphics development. This role spans multiple areas of NVIDIA's graphics software ecosystem, driving innovation across developer tools, graphics technologies, and next-generation development workflows. You will create and lead new strategic initiatives, partnering closely with NVIDIA Research, GPU Architecture, Driver, SDK, and Developer Technology teams to evaluate emerging technologies, prototype new ideas, and deliver solutions that improve how developers build, debug, profile, and optimize graphics applications. This is a hands-on technical leadership role emphasizing vision, execution, influence, and collaboration. Success in this role comes from technical excellence and the ability to align teams around ambitious ideas.

What You'll Be Doing:

  • Define and implement the technical vision and strategy for next-generation developer tools, workflows, and technologies that improve developer productivity.

  • Design and prototype new tools that can evolve into production-ready software.

  • Collaborate with GPU architects, driver engineers, SDK teams, and graphics developers to understand future needs and influence product direction.

  • Drive technical initiatives across multiple organizations through collaboration and technical leadership.

  • Mentor engineers and help establish engineering excellence within the larger Developer Tools organization.

  • Engage with external developers, game studios, engine teams, and strategic partners to understand real-world workflows and pain points.

  • Represent NVIDIA at industry events, technical conferences, and developer engagements.

  • Influence the evolution of graphics development as AI increasingly transforms how software is built, optimized, and maintained.

What We Need To See:

  • BS, MS, or PhD in Computer Science, Computer Engineering, or related field (or equivalent experience).

  • 15+ years of experience developing graphics software, developer tools, game engines, GPU technologies, or related systems.

  • Deep understanding of modern graphics APIs including DirectX, Vulkan, or Metal.

  • Strong C++ software engineering skills and experience building large-scale software systems.

  • Demonstrated technical leadership driving complex projects across multiple teams.

  • Experience designing software architectures and influencing technical direction beyond a single codebase.

  • Strong communication skills with the ability to collaborate across engineering, research, product, and external developer communities.

  • Proven ability to thrive in ambiguous environments and transform ideas into shipped products.

Ways To Stand Out From The Crowd:

  • Expertise in GPU architecture, memory systems, performance analysis, or graphics debugging.

  • Experience with ray tracing technologies, neural rendering, or advanced rendering techniques using Vulkan or D3D12.

  • Experience developing profilers, debuggers, validation tools, or SDKs.

  • Experience applying 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 considered to be one of the technology world's most desirable employers with some of the most forward-thinking and hardworking people in the world working here. If you're highly technical and enthusiastic about 3D Graphics, we want to hear from you! For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.

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 June 20, 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

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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