NVIDIA is looking to solve the problem of improving productivity and introducing artificial intelligence in Media broadcasting by developing advanced deep learning technology pipelines.
Requirements
- Deep understanding of media pipelines, codecs (e.g., H.264, VP9), video streaming protocols (e.g., WebRTC, RTP)
- Proficiency with cloud-native deployment containerization and orchestration tools (Docker, Kubernetes, OpenShift) and observability tools (Grafana, Prometheus)
- Hands on experience with programming languages such as Python, C++ , cloud platforms such as AWS, GCP and common container interfaces such as HTTP, gRPC, MCP, SMPTE ST 2110
- Experience with balancing technical depth and expertise with strategic decision making and influence
- Ability to enforce code health, code reviews practices, establish testing and QA standards and improve overall engineering workflow productivity with the use of AI tools
- Track record of mentorship and ability to attract, hire, mentor, and grow top-tier technical talent
- Strong understanding of the broader market trends and the competitive landscape in the Media & Entertainment industry
Responsibilities
- Supervise a team of engineers building next generation microservices and blueprints to enable scalable deployable cloud AI pipelines
- Closely collaborate with different deep learning software and hardware teams across NVIDIA to influence roadmaps and deliver solutions
- Influence short term and long term decisions about the product with engineering expertise and visionary thinking
- Track metrics and make telemetry based informed decisions with stakeholder alignment
- Expand the visibility of your teams work and keep collaborators informed about status, risks and pivots
- Hire the best talent as needed to expand the product scope
- Enforce code health, code reviews practices, establish testing and QA standards and improve overall engineering workflow productivity with the use of AI tools
Other
- MS degree in Computer Engineering, Computer Science or Electrical Engineering (or equivalent experience)
- 10+ overall years of proven experience in software development and 5+ yrs of team management experience in building and leading highly performing teams
- Ability to coordinate, communicate and collaborate with cross-functional teams such as Product, Research, SRE, security, sales, marketing, PLC, security teams
- Strong understanding of the broader market trends and the competitive landscape in the Media & Entertainment industry
- Prior experience with engineering in the Media and Entertainment industry
