דרושים Crisp Marketing Manager ב-אנבידיה ב-China, Beijing, Beijing

You will work directly with founders, engineering leaders, and developer communities buildingThis role is ideal for someone who enjoyshands-on technical engagement, ecosystem building, and communicating complex technology in a clear and compelling way.

You will be a, shaping solution strategy, enabling partners, and helping drive the next generation of AI-powered retail innovation.

• Serve as the trusted technical advisor, and champion for the developer ecosystem in Retail Industry, with multi-functional partners to drive adoption of NVIDIA technologies.

• Help developers leverage NVIDIA’s tools for GenAI and LLMs- including Triton Inference Server, TensorRT-LLM, NeMo Framework, and CUDA-accelerated pipelines —to optimize model performance and scalability.

• Build and deliver sample applications, tutorials, and technical content that highlight best practices for building with LLMs and agentic workflows.

• Partner with solution architects to benchmark improvements and support performance tuning of LLM deployments across NVIDIA platforms.

• Guide startups through integration with NVIDIA’s Gen AI stack and support their certification in NVIDIA partner programs.

• Represent the company at industry events, developer meetups, andhackathons—evangelizingour LLM and Agentic AI strategy to a technical audience.

• Gather developer feedback to inform product and roadmap decisions related to LLM inference, training, and deployment tooling.

• Identify promising Gen AI startups and help them go to market through co-branded solution development and strategic partnerships

• BS or Masters in Computer Science, Engineering, or equivalent practical experience.

• 8+ years in Developer Relations, AI engineering, startup GTM roles, or Technical Alliances.

• Deep hands-on experience with LLMs (e.g., Qwen, Deepseek, LangChain, RAG pipelines) and autonomous agent frameworks.

• Proficiency with Python, containerization tools (Docker, Kubernetes), and Linux-based development environments.

• Understanding of model fine-tuning, prompt engineering, memory architectures, tool use in agent systems, and orchestration frameworks.

• Excellent communication and storytelling skills—comfortable presenting to technical and business audiences.

• Experience in retail AI, Machine Learning and Deep Learning applications

• Familiarity with advanced computing, AI, and/or GPU acceleration platforms (Triton Inference Server, TensorRT-LLM, NeMo Framework, and CUDA-accelerated pipelines).

• Successful history of building and scaling developer communities and delivering impactful technical enablement programs.

What you’ll be doing:

• Resolve complex escalations and technical issues by conducting meticulous research, reproducing problems, and performing in-depth troubleshooting for customers who are installing NVIDIA product and employment NVIDIA solutions.

• Respond promptly to customer inquiries regarding product support via telephone, email, or conference calls.

• Address customer issues that arise during installation, operation, maintenance, product application, or when dealing with interoperability matters with other vendors.

• Actively participate in cross-functional team meetings and offer valuable feedback to the Engineering and Marketing departments regarding product requirements, customer experience, and support tools.

• As a technical expert, develop, redefine, and document best practices to share with internal teams (Support and R&D) for the enhancement of support processes.

• Conduct site visits and engage in conference calls with customers as needed.

What we need to see:

• BS, MS, or PhD. or equivalent. Strong academic background in Computer or Electrical Engineering, Computer Science, or related degree.

• Computing system knowledge.

• 6+ years of work-related experience in high speed signal, system build, network or GPU.

• Strong expertise in python and Linux.

• Familiar with hardware develop tools, scope and testing of signal integrity.

• Excellent communication and planning skills, while being self-motivated with a focus on execution and quality

Ways to stand out from the crowd:

• Strong background and project experience in server and NIC design.

• Experts on signal integrity and optical modules.

• System designer and architect from CSP, OEM and ODM, or application engineering background from semiconductor companies.

• Willing to share.

• Knowledge in NVIDIA platform.

What you’ll be doing:

• Drive NVIDIA revenue in large auto accounts

• Engage with various NVIDIA technology partners and identify areas of collaboration. Identify complementary technologies needed to build complex solutions using our computing platforms.

• Create go-to-market execution w/ cross functional teams

• Prioritize and report on key business metrics to measure and guide global industry teams.

• Influence and align with sales and customer teams to understand customer requirements and build a scale out plan for target market technologies

• Generating technology trends and market analysis

• Represent and evangelize NVIDIA solutions at key industry events

What we need to see:

• BS/MS (or equivalent experience) with 10+ years of BD/Sales experience in enterprise, especially AUTO industry

• MBA/MS or advanced degree desired

• Fluent English in speaking, reading, and writing

• Experience in AI in autonomous driving is a plus

• Strong leadership skills, self-starter

• Excellent communication abilities and shared attitude

Ways to stand out from the crowd

• Experience in successfully leading to build strategic partnerships and a versatile ISV ecosystem in Autonomous driving

• Experience with deep learning and/or other AI technologies

What you’ll be doing:

• Collaborating with community model builders to ensure seamless model support, early access collaboration, and go-to-market alignment.

• Tracking emerging trends in the open model space and assess technical differentiators and ecosystem impact of new releases.

• Supporting product marketing in crafting model-specific messaging and documentation - including blogs, whitepapers, case studies, and presentations, highlighting NVIDIA’s optimizations and software tools.

• Collaborating closely with internal engineering, infrastructure, and developer experience teams to enable best-in-class support for open models across inference, fine-tuning, and evaluation.

• Facilitating feedback loops between our platform and model builders to continuously improve performance, usability, and compatibility.

• Work with executives to launch new products and support keynotes.

What we need to see:

• 7+ years of meaningful work experience in product management or technical partner management.

• BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus.

• Knowledge of the community model ecosystem, including Hugging Face, PyTorch, and inference frameworks like Ollama, SGLang, and vLLM.

• Comfortable reviewing Python code used in presentations, demos, and articles.

• Comfortable with digital marketing and social media.

• Excellent written and spoken communication skills, including strong Microsoft products and markdown skills, with the ability to translate between partner requirements and internal priorities.

• You love to thrive in a cross-functional organization, by collaborating with peers across teams and functions.

• Deep organizational skills, capable of balancing multiple projects at the same time.

Ways to stand out from the crowd:

• Product manager experience at a company training frontier AI models.

• Hands-on experience with quantization, distillation, or low-rank adaptation techniques and running community models on NVIDIA GPUs.

• Hardworking and highly motivated with measurable results (metrics, awards, key accomplishments) you can share.

• A growing portfolio of blogs and social posts with links to your relevant work, including technical writing, social media presence, videos, and research papers.

What you'll be doing:

• Define the strategy and tactics for successfully integrating complex cloud software stacks, fromevaluation/proof-of-concepttodesign/development/qualification/validation,through customer acceptance

• Execute the plan you craft by: scoping the project, identifying and assembling the core support team, formally kicking off the project with customers, developing a joint project timeline, supporting the design-in effort by providing technical collateral/tools, leading engineering design reviews, ensuring the implementation of certain customer-required features, driving resolution of any blocking issues, and ensuring timely customer acceptance and production deployment

• Translate customer requirements into specific tasks and assign those tasks to relevant functional areas with ease. Collecting, prioritizing, tracking, and driving customer-reported issues to resolution/closure is a key focus of this role.

• Clearly and intelligently communicate issue status to the customer and internal (including executive) teams

• Work closely with engineering, product management, and sales teams to resolve technical issues, set correct expectations and keep the scope of the projects on a track to successful execution

• Effectively organize and lead complex technicalengineering-to-engineeringdiscussions

• Correctly represent the urgency of issues and raise them (internally and/or externally) as appropriate

• Regularly communicate program status and key issues to management

• Develop a close working relationship with customer development teams and use creativity to find solutions to their issues

What we need to see:

• BS/MS Engineering or Computer Science or equivalent experience

• 8+ years in a high-tech electronics industry with a focus on program/project management

• Experience and therefore deep customer savvy born of running significant and complex software engagement programs, especially with strategic customers with large datacenter deployments

• Strong technical savvy, including software qualification and deployment for datacenter

• Supreme leadership skills across broad and diverse functional teams

• Validated history of 5+ years of project/program management of software product solutions

• Strong technical background and experience working with customers in a clouddevelopment/deploymentand/or OEM environment

• Experience leading global projects

Ways to stand out from the crowd:

• Graphics, and/or cloud datacenterdevelopment/deploymentexperience desirable

• Comfortable defining and managing complex program schedules with a deep understanding of dependencies, critical paths, key and critical landmarks, and work you're doing

• Consistent record of handling multiple customers and customer programs across worldwide geographies and time zones

What you'll be doing:

• Understand China researcher and developer communities, Analyzing the technical requirement, identify needle moving projects.

• Bridge NVIDIA tools with communities' requirements, Promote NVIDIA tools, libraries, and SDK’s with China researcher and developer communities, ISV and Service Providers.

• Deeply understand AI4S, AI teaching, Agentic AI, Physical AI workflows and LLM breakthroughs, evolving ecosystem and alliances, attending conferences, building a network of influencers, and tracking opportunities in progress.

• Discover new workflows, identify blockers to ISV adoption, and report back to the product teams.

• Drive early adoption of new products and support launch and go-to-market activities.

• Collaborate with NVIDIA business development managers, solution architects, developer technology engineers, developer marketing, product teams to engage with customers and communities.

• We make heavy use of conferencing tools, but some travel is required. You are empowered to find the best way to get your job done and make our partners successful.

What we need to see:

• BS, MS, PhD in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience).

• 5+ years of work-related experience in technical leadership role and architecting GPU accelerated computing solutions.

• Deep understanding of accelerated computing, AI for science, Agentic AI, physical AI and LLM ecosystem of startups, ISVs, data stores, CSP services, and SaaS/platform offers.

• Strong analytical and problem-solving skills, with deep empathy for developers.

• Clear written and oral communication skills with proven track record to articulate value propositions to executive and technical audiences.

• Strong project management skills: ability to plan, prioritize, and drive forward multiple projects simultaneously, while engaging with internal and external stakeholders.

• Extensive knowledge and experience with recent advancements in AI for Science, LLMs, VLMs Agentic AI and Physical AI.

• Passionate about AI and its evolving growth with continuous learning spirit, self-started and driven on focused outcome oriented activities

Ways to stand out from the crowd:

• Experience developing CUDA, operations research, AI4S models, robotics research, AI with database research, ML/DL frameworks.

• Background with community managements, OSS community, academic alliance, acceleration computing development, LLM training/inference development, robotics, APIs and Microservices, orchestration platforms, database solutions and data migration techniques.

• Experience and empathy for software engineering and application development.

What you’ll be doing

• ​Drive LLM efficiency:​​ Design and leverage advanced low-precision quantization techniques (INT8, FP8, FP4) to optimize inference performance for customer deployments.

• ​Innovate with frameworks:​​ Simulate, optimize, and extend cutting-edge training & inference frameworks (e.g., vLLM, SGLang, TensorRT-LLM, NeMo, Megatron) within NVIDIA's ecosystem.

• ​Enable new AI capabilities:​​ Integrate and validate next-generation LLM architectures and features within core frameworks to expand NVIDIA's solution offerings.

• ​Tune for peak performance:​​ Conduct rigorous performance analysis and tuning of LLM workloads for optimal execution on cloud and on-premises NVIDIA platforms.

• ​Collaborate on customer solutions:​​ Partner with engineering teams and solution architects to translate customer requirements into high-impact LLM engineering implementations.

What we need to see

• Pursuing a ​MS or PhD​ in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field.

• ​Hands-on experience​ with large language model (LLM) training and/or inference frameworks from project work, research, or prior internships.

• ​Strong proficiency in PyTorch​ and ​Python programming.

• ​Solid foundational understanding​ of:

  • Transformer architectures & core LLM algorithms.

  • Principles and trade-offs of model quantization techniques.

  • Distributed training paradigms (e.g., FSDP, ZeRO, 3D/5D parallelism, RLHF infrastructure).

• A ​link to your GitHub profile or code samples​ is required with your application (demonstrating relevant projects).

Ways to stand out from the crowd

• Demonstrable experience with ​quantization tools and workflows​ (e.g., GPTQ, AWQ, SmoothQuant).

• ​Contributions to relevant Open Source Software projects​ (e.g., vLLM, SGLang, Hugging Face Transformers, PyTorch, DeepSpeed).

• ​Understanding of GPU architecture (CUDA), high-performance computing concepts, and cluster communication libraries​ (e.g., NCCL, MPI).

• Record of ​published research​ in machine learning, NLP, or systems at majorconferences/journals.

• Experience deploying or optimizing workloads on ​NVIDIA GPUs​ and familiarity with ​NVIDIA AI software stacks.