Senior Technical Marketing Engineer, AI Infrastructure
Nvidia
Job Description
About the Role
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology—and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA platforms are at the center of generative AI, autonomous driving, industrial robots, medical instruments, and data centers across the world where GPU accelerated AI is revolutionizing the technology industry. As a platform company, we deliver not just hardware solutions but also vertically integrated software stacks, GPU accelerated SDKs, libraries, and tools. We seek a dedicated and motivated Technical Marketing Engineer passionate about AI Infrastructure to collaborate with engineering, product, and marketing teams to assess our hardware and software solutions, improve product offerings, and enhance customer experience.
Key Responsibilities
- Run multi-node training/inference jobs on large GPU clusters to assess performance, validate usability, improve products, and create developer education.
- Design benchmark suites that spotlight NVIDIA hardware, networking, and software stacks.
- Profile deep-learning workloads, identify bottlenecks, and deliver optimization guidance.
- Produce concise tutorials, scripts, and whitepapers for customers and tech press.
- Analyze competitive solutions and craft data-driven product positioning.
- Present live demos at conferences such as GTC, CES, and SIGGRAPH.
Requirements
- Passionate about AI infrastructure and performance optimization.
- 3+ years in software development, tech marketing, evangelism, or similar roles.
- BS/MS in CS, CE, EE, or related field (or equivalent experience).
- Strong Python and C++ skills for AI and HPC work.
- Hands-on multi-node experience with Slurm, Kubernetes, or cloud CSP clusters.
- Solid grasp of DL architectures, PyTorch, and distributed training methods.
- Understanding of CPU/GPU architecture plus CUDA, cuDNN, TensorRT-LLM, Triton, NCCL.
- Excellent written and verbal communication for technical and executive audiences.
Nice to Have
- Hands-on experience setting up and tuning HPC clusters with Slurm, Kubernetes, or other schedulers.
- Public technical blogs, talks, forum activity, or notable open-source projects related to AI performance.
- Prior work with customers and/or technical press on AI performance topics.
- Familiarity with modern LLM architectures and ability to write Torch code and occasional custom GPU kernels.
- Expertise in InfiniBand, NVLink, RoCE, RDMA, and collective-communication libraries.
Benefits & Perks
- Base salary range from $120,000 to $189,750 for Level 2, and from $148,000 to $235,750 for Level 3, depending on location and experience.
- Eligibility for equity and benefits.
- Application deadline: August 9, 2025.
Working at Nvidia
NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
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About Nvidia
Website
nvidia.com
Location
Santa Clara, CA
Industry
Semiconductor and Related Device Manufacturing
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