Description
NVIDIA AI for Media is seeking an outstanding engineer to join the team. You will work on core technologies to solve computer vision and deep learning problems, specifically building and optimizing real-time AI solutions.
Job Description: As a Technical Lead - Content Authenticity AI, you will set the technical direction for content authenticity AI at NVIDIA. You will architect the model and pipeline strategy for detecting synthetic and manipulated media, design and build highly capable AI models for computer vision and video AI, and extend authenticity coverage across modalities.
Responsibilities:
- Set the technical direction for content authenticity AI at NVIDIA
- Architect the model and pipeline strategy for detecting synthetic and manipulated media
- Design and build highly capable, efficient AI models for computer vision and video AI
- Extend authenticity coverage across modalities, including audio authentication analysis
- Architect new end-to-end forensics pipelines
- Own the accuracy/latency/throughput tradeoff space
- Partner with NVIDIA Research and AI4M product teams
- Act as the technical authority on media authenticity
Requirements:
- 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
- Ability to scope ambiguous problems into executable roadmaps
- Experience influencing product and research roadmaps through technical vision
- Strong collaboration and communication skills
- PhD in Computer Science, Electrical Engineering, or related field
Nice to Have:
- 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
- Familiarity with authenticity standards and industry efforts
- Experience building evaluation frameworks and datasets
Salary: The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits.