Principal Applied Research Engineer, Content Authenticity - CA, Santa Clara, United States
$272,000 - $431,250 USD yearly
Originally posted 8 September 2026 by the employer.
About the role
This role involves setting the technical direction for content authenticity AI at NVIDIA, focusing on detecting synthetic and manipulated media. The team works on building and optimizing real-time AI solutions for computer vision and deep learning problems.
What you'll do
- Set the technical direction and architect model and pipeline strategy for content authenticity AI.
- Design and build AI models for computer vision and video AI, including synthetic content detection, AI manipulation identification, and semantic plausibility analysis.
- Extend authenticity coverage across modalities, including audio authentication analysis.
- Architect end-to-end forensics pipelines from data strategy to deployment.
- Own the accuracy/latency/throughput tradeoff space for models from research prototype to real-time production performance on NVIDIA hardware.
What you'll need
- 15+ years of relevant engineering or research experience in deep learning and computer vision.
- 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.
- PhD in Computer Science, Electrical Engineering, or related field (or equivalent experience).
Skills: content authenticity AI, AI models for computer vision, deep learning frameworks, TensorRT/Triton, production deployment
This role has been open 36 days — well below the 50-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
973
|
Median days open
50 d
|
Median salary
$235k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (973 roles · 85 employers) |
|---|---|---|
| Open roles in this specialty | 281 | 973 |
| Open roles in the wider Software, Firmware & Systems family | 993 | 6140 · 145 employers |
| Median days open | 45 d | 50 d (−5 d vs this employer) |
| Median salary (USD postings) | — | $235k |
Skills observed across this category: content authenticity AI, AI models for computer vision, deep learning frameworks, TensorRT/Triton, production deployment
Who's hiring in this category
- NVIDIA (this employer) · 289 open roles · median 44 d
- Qualcomm · 61 open roles · median 57 d
- AMD · 57 open roles · median 21 d
- Graphcore · 44 open roles · median 90 d
- Intel Corporation · 40 open roles · median 9 d
- Cerebras · 39 open roles · median 80 d
How we counted: 973 open Infrastructure/Platform Software (Infrastructure Platform) roles from 85 employers tracked in the SemiconductorJobs index, counted 15 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.