NVIDIA Corporation

Principal Applied Research Engineer, Content Authenticity

NVIDIA Corporation$272K — $431K *
Media
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 15+ years of experience in deep learning and computer vision
  • Proven track record of transitioning systems from research to scaled production
  • Hands-on skills in deep learning frameworks like PyTorch, TensorFlow, and ONNX
  • Ability to lead development independently while scoping complex problems
  • Influenced product and research roadmaps through a technical vision
  • Strong collaboration and communication skills in R&D settings
  • PhD in Computer Science, Electrical Engineering, or equivalent experience

Responsibilities

  • Set technical direction for content authenticity AI at NVIDIA
  • Design and build efficient AI models for media authenticity
  • Extend authenticity coverage including audio authentication
  • Architect new end-to-end forensics pipelines for evaluation methodology
  • Own accuracy/latency/throughput tradeoffs for real-time production performance
  • Collaborate with NVIDIA Research to implement state-of-the-art work
  • Serve as technical authority on media authenticity, mentoring and reviewing designs

Benefits

  • Equity options
  • Comprehensive health and wellness plans
  • Flexible work arrangements
  • Professional development opportunities
  • Access to cutting-edge technology and resources
Full Job Description
We are now looking for outstanding engineers to join the NVIDIA AI for Media team. You will work alongside brilliant engineers on core technologies to solve ambitious computer vision and deep learning problems, especially building and optimizing real-time AI solutions that could run anywhere on cloud or premise.

What You'll Be Doing:

  • Set the technical direction for content authenticity AI at NVIDIA - architecting the model and pipeline strategy for detecting synthetic and manipulated media, and making the build-vs-adapt calls that shape multi-year investment.
  • Design and build highly capable, efficient AI models for computer vision and video AI across synthetic content detection, AI manipulation identification, and semantic plausibility analysis.
  • Extend authenticity coverage across modalities, including audio authentication analysis and more.
  • Architect new end-to-end forensics pipelines, from data strategy and evaluation methodology through deployment - establishing the benchmarks and failure-mode analysis the team measures itself against.
  • Own the accuracy/latency/throughput tradeoff space, taking models from research prototype to real-time production performance on NVIDIA hardware.
  • Partner deeply with NVIDIA Research to bring state-of-the-art work into production, and with AI4M product teams to shape roadmap based on what's technically achievable and where the field is heading.
  • Act as the technical authority on media authenticity for the broader org - mentoring engineers, reviewing designs, and representing NVIDIA's work externally where appropriate.


What We Need To See:

  • 15+ years of relevant engineering or research experience in deep learning and computer vision, with a track record of setting technical direction for a research area across multiple teams or projects.
  • Demonstrated ownership of a system or model family from research concept through production deployment at scale.
  • Hands-on development skills with deep learning frameworks and deployment stacks such as PyTorch/TensorFlow/ONNX, TensorRT/Triton/WinML, and other neural processing SDKs.
  • Ability to scope ambiguous problems into executable roadmaps, define milestones, and lead development independently.
  • Experience influencing product and research roadmaps through technical vision rather than positional authority.
  • Strong collaboration and communication skills, with comfort operating in an R&D environment where requirements evolve.
  • PhD in Computer Science, Electrical Engineering, or related field (or equivalent experience).


Ways to Stand Out From the Crowd:

  • Research or engineering background in digital forensics, media provenance, or content authenticity.
  • Publications, patents, or recognized contributions in synthetic media detection or related areas.
  • Experience developing synthetic video detection models in adversarial settings where generation methods shift faster than detection.
  • Familiarity with authenticity standards and industry efforts such as C2PA, or participation in standards bodies and benchmark initiatives.
  • Experience building evaluation frameworks and datasets for problems where ground truth is expensive or contested.


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 September 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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