Senior Technical Marketing Engineer - Distributed AI Model Training

NVIDIA; United States; Remote; USD 160,000 - 322,000; Full time

Job summary

An established industry player is seeking a Senior Technical Marketing Engineer to drive the narrative around AI training innovations. In this role, you will translate complex technical concepts into engaging content for developers and researchers, showcasing the power of advanced AI infrastructure. Collaborating with cross-functional teams, you'll create compelling blogs, whitepapers, and presentations that illuminate the capabilities of cutting-edge technologies. This is a unique opportunity to influence how the world perceives AI training, working at the forefront of technology and innovation in a dynamic and supportive environment.

Benefits

Equity

Comprehensive Benefits Package

Competitive Salaries

Qualifications

• 7+ years of experience in deep learning engineering or technical marketing roles.
• Strong grasp of distributed training fundamentals and memory-efficient optimization.

Responsibilities

• Translate complex AI research into clear technical content for diverse audiences.
• Produce interactive explainers and animations to illustrate training optimizations.

Skills

Deep Learning Engineering

Technical Evangelism

Distributed Training Fundamentals

Strong Written Communication

Visual Communication Skills

Education

BS Degree in Computer Science or Engineering

MBA or equivalent experience

Tools

NeMo

Megatron

NCCL

DeepSpeed

Hugging Face

Job description

Modern data centers are transforming into AI factories, and NVIDIA accelerated computing is the engine of artificial intelligence. Our data center platforms integrate CPUs, GPUs, DPUs, networking, and a full-stack software ecosystem to power AI at scale! We are seeking a highly technical and creative Senior Technical Marketing Engineer to join our team to showcase the innovations that power the training of the world’s largest AI models.

This role will focus on distributed AI model training, ensuring that customers and partners understand how to best leverage the potential of NVIDIA’s accelerated computing solutions. You will collaborate closely with engineering, product teams, field teams, and ecosystem partners to develop compelling technical narratives, competitive positioning, and technical content that drives adoption. You’ll dive deep into parallelism strategies, frameworks like NeMo and Megatron, and the hardware-software co-optimization behind the most advanced LLM training pipelines. Your mission: make this magic understandable and inspiring through technical blogs, whitepapers, keynotes, and interactive media.

What You’ll Be Doing:

• Translate complex research and engineering in model pre-training into clear, technically rich content for developers, researchers, and decision-makers.
• Break down distributed training techniques (tensor, pipeline, and data parallelism) and explain how NVIDIA hardware and software unlock performance at scale!
• “Dogfood” NVIDIA’s AI infrastructure tools like NeMo, Megatron, and NCCL — highlight real usage in blogs, papers, and videos.
• Co-author research-backed content such as whitepapers, Arxiv publications, Hugging Face projects, and internal deep dive docs.
• Produce interactive explainers and animations to illustrate parallelism strategies, system topologies, and training throughput optimizations.
• Represent NVIDIA at developer conferences, workshops, and academic events — telling the story of how the future of AI training is being built.

What We Need to See:

• A BS Degree in Computer Science or Engineering related field with an MBA or equivalent experience in Product or Technical Marketing.
• 7+ years of experience in deep learning engineering, HPC systems, AI infrastructure, or technical evangelism roles.
• Strong grasp of distributed training fundamentals — including parallelism strategies, memory-efficient optimization, tokenization and data pipelines, scaling laws, hardware-aware system design, training stability, and resilient check-pointing.
• Familiarity with LLM frameworks like NeMo, Megatron, DeepSpeed, or similar.
• Experience with high-performance system design: knowledge of GPUs, CPUs, DPUs, NVLink, NVSwitch, PCIe, InfiniBand, and networking topologies.
• Demonstrated ability to create compelling technical content: blogs, videos, whitepapers, training decks, or conference presentations.
• Strong written and visual communication skills — ability to break down the “how” and “why” of complex systems for a technical audience.
• Bonus: Prior experience with publishing research or presenting at venues like SC, ISC, MLPerf, NeurIPS, or Hugging Face Spaces.

Ways to Stand Out from the crowd:

• You’ve trained large models yourself or worked on system-level infrastructure to support them.
• Published on arXiv, Medium, Hugging Face, or GitHub — and love simplifying complexity.
• Worked across teams — from system architects and software engineers to researchers and marketing — to bring a product stories to life.
• Built tools and interactive visualizations to explain how things work under the hood.
• You’re curious, hands-on, and driven to experiment with NVIDIA’s latest hardware and software as a power user and technical storyteller.

This is your opportunity to shape how the world understands the future of AI training. You’ll work at the frontier of scale, performance, and innovation — and be the voice that helps engineers, researchers, and architects become passionate about what’s possible with NVIDIA.

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 at www.nvidiabenefits.com/

The base salary range is 160,000 USD - 322,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.