英伟达Senior Solutions Architect, Foundation Model
任职要求
• Bachelor's degree in Computer Science, Robotics, Engineering, or a related field. • 3+ years of full-time industry experience in large-scale MLOps and AI infrastructure. • Proven experience designing and optimizing distributed training systems with frameworks like PyTorch, JAX, or TensorFlow. • Deep understanding of GPU acceleration, CUDA programming, and cluster management tools like Kubernetes. • Strong programming skills in Python and a high-performance language such as C++ for efficient system development. • Strong experience with large-scale GPU clusters, HPC environments, and job scheduling/orchestration tools (e.g., SLURM, Kubernetes). Ways to stand out from the crowd: • Master’s or PhD’s degree in Computer Science, Robotics, Engineering, or a related field. • Demonstrated Tech Lead experience, coordinating a team of engineers and driving projects from conception to deployment. • Strong experience at building large-scale LLM and multimodal LLM training infrastructure.
工作职责
• Design, implement, and optimize scalable ML training pipelines for training multimodal foundation models for robotics. • Collaborate with researchers to integrate cutting-edge model architectures into scalable training pipelines. • Implement scalable data loaders and preprocessors for multimodal datasets, such as videos, text, and sensor data. • Optimize GPU and cluster utilization for efficient model training and fine-tuning on massive datasets. • Develop robust monitoring and debugging tools to ensure the reliability and performance of training workflows on large GPU clusters.
We are now looking for a Senior Solutions Architect, an outstanding engineer able to engage with developers, researchers, and decision makers. We need individuals who can use AI to improve system efficiency and develop close relationships with our industry customers, making NVIDIA a great part of end-user solutions.NVIDIA is the world leader in GPU accelerated computing and is looking for Solution Architects to engage our customers. The Senior Solution Architect will work closely with the industry customers in our China region - establishing relationships, solving problems with their engineering teams, and helping them to build a successful NVIDIA practice. If interested, do not hesitate to apply online, we are exciting to talk with you! What you’ll be doing: • Presenting NVIDIA’s full stack Artificial Intelligence solutions, and end to end platform technology to customers and partners. With in-depth hands-on engagements with customers or NVIDIA partners on complicated Datacenter projects. • Assist field business development in guiding the customer through the sales process for NVIDIA solution. • Understand and analyze customer requirements, support the solution design and development of applications. • Team work across the company to guide the direction of accelerated computing, working with software, research, and product teams. • Document the learnings to guide others. This can vary from making targeted training for customers and other Solutions Architects, giving nice hands-on demos, writing whitepapers, blogs, and wiki articles, recording short videos, to simply working through hard problems with a partner on a whiteboard.
- As an AIML Specialist Solutions Architect (SA) in AI Infrastructure, you will serve as the Subject Matter Expert (SME) for providing optimal solutions in model training and inference workloads that leverage Amazon Web Services accelerator computing services. As part of the Specialist Solutions Architecture team, you will work closely with other Specialist SAs to enable large-scale customer model workloads and drive the adoption of AWS EC2, EKS, ECS, SageMaker and other computing platform for GenAI practice. - You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage AI Infrastructure on Amazon Web Services. You will also create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services GenAI solutions into customer architectures. - You must have deep technical experience working with technologies related to Large Language Model (LLM), Stable Diffusion and many other SOTA model architectures, from model designing, fine-tuning, distributed training to inference acceleration. A strong developing machine learning background is preferred, in addition to experience building application and architecture design. You will be familiar with the ecosystem of Nvidia and related technical options, and will leverage this knowledge to help Amazon Web Services customers in their selection process. - Candidates must have great communication skills and be very technical and hands-on, with the ability to impress Amazon Web Services customers at any level, from ML engineers to executives. Previous experience with Amazon Web Services is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior engineers at customers, partners and Amazon Web Services service teams, influencing their roadmaps and driving innovations.
• Define the end-to-end technical architecture for the NIM Factory, from container build systems and CI/CD to Kubernetes deployment patterns and runtime optimization. • Drive technical strategy and roadmap, making high-impact decisions on frameworks, technologies, and standards that empower dozens of engineering teams. • Architect and influence the design of workflow orchestration systems that underpin the NIM factory. • Coach and mentor senior engineers across the organization, fostering a culture of technical excellence, innovation, and knowledge sharing. • Champion best practices in software development, including API design, automation, observability, and secure supply chain management. • Collaborate with leadership across research, backend, SRE, and product to align technical vision with product goals and influence technical roadmaps.
Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. Your role and responsibilities As a senior SAP Consultant, you will serve as a client-facing practitioner working collaboratively with clients to deliver high-quality solutions and be a trusted business advisor with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include: • Strategic SAP Solution Focus: Working across technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs.• Comprehensive Solution Delivery: Involvement in strategy development and solution implementation, leveraging your knowledge of SAP and working with the latest technologies. Required education Bachelor's Degree