NVIDIA has been transforming computer graphics and accelerated computing for more than 25 years. In the AI era, it’s a unique legacy of innovation that’s fueled by great technology and amazing people. Our team at NVIDIA builds pioneering AI models and deploys them as SDKs and microservices for video streaming and broadcasting. Our AI microservices are deployed on the NVIDIA Holoscan for Media platform for real-time video communication in broadcast environments. Our AI technologies are also offered in NVIDIA Broadcast App to enhance the video and voice in live streaming and video conferencing.
We are now looking for an outstanding manager to join the NVIDIA AI for Media engineering team. You will manage a team of brilliant engineers developing advanced deep learning technology pipelines to improve productivity and introduce artificial intelligence in Media broadcasting. You will influence our Media and Entertainment product offering with your experience and expertise.
What You’ll Be Doing:
Supervise a team of engineers building next generation microservices and blueprints to enable scalable deployable cloud AI pipelines
Strive to keep your team motivated and productive by implementing and sustaining best practices
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
Engage with external partners to facilitate product adoption
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
What We Need To See:
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
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
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
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
Ways to stand out from the crowd:
Prior experience with engineering in the Media and Entertainment industry
Background in AI pipelines for video use cases
Experience with CUDA
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
