דרושים Solutions Architect - Generative Ai ב-אנבידיה ב-South Korea, Seoul

What you'll be doing:

• Based on deep understanding of AI for Robotics, Gen AI workflows, Digital Twin and Synthetic Data Generation, do evolving ecosystem and alliances, building a network of influencers, and tracking opportunities in progress proactively, seek opportunities to solve AI problems that can be accelerated by positioning NVIDIA AI SW and be catalyst in conceptualisation, scoping and working towards adoption

• Position NVIDIA tools, libraries, and SDK’s with developers in Korea to accelerate their Robotics Developer journey

• Discover new workflows, identify blockers and feature request to adoption for Physical AI and Robot development, and actively co-work together with the product teams.

• Collaborate with NVIDIA partner managers, solution architects, industry business development managers, sales and marketing, DevTech, Product manager.

• 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 or MS 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.

• Clear written and oral communication skills with a 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 collaborators.

• Extensive knowledge and experience with recent advancements in Physical/Embodied AI, Synthetic Data Generation, World Foundation Model, VLMs, Robot Policy Learning and Gen AI, Robotics development

• Hands-on experience with software architecture design, implementation and programming skills

• Experience to work with leading researchers at enterprise, startup, and high education across developer ecosystem

Ways to stand out from the crowd:

• Experience Robotics and Omniverse courses of NVIDIA Deep Learning Institute, plus instructor certification

• Background of experience with NVIDIA Physical AI SDKs – ISAAC Sim/Lab, Omniverse, GR00T, Jetson Embedded Platform

• Experience and empathy for software engineering and application development.

What you will be doing:

• Understand NVIDIA’s methodology how to develop Physical AI, so called the three-computer problem, simulating real world in the virtual world, training a model using the data gained from the simulation, and deploying the trained model into the embedded system.

• Build a virtual world using NVIDIA Omniverse platform based on OpenUSD (Universal Scene Description) in NVIDIA RTX PRO Servers, generate synthetic data in the virtual world using NVIDIA Cosmos models, and test robots in the virtual world using NVIDIA Isaac Sim.

• Help Korea enterprises fine-tune NVIDIA Isaac GR00T models, open humanoid foundation models in NVIDIA DGX or HGX systems with validating datasets if they are well enough to lead to high accuracy of the model.

• Deploy the trained model into the embedded system such as NVIDIA Jetson platform using NVIDIA JetPack software stack.

• Actively communicate with NVIDIA Headquarters in English, NVIDIA Korea partners, and NVIDIA Korea internal team members.

What we need to see:

• More than 4+ years of experience in this technical area

• Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related technical field

• Solid understanding of basic deep learning including computer vision models, large language models, or vision language models

• Strong technical background in 3D virtual reality, photorealistic technologies, and USD (Universal Scene Description)

• Mature relation-building skills across various interested parties including customer developers, customer development team leaders, product teams or engineering teams in NVIDIA Headquarters, sales team in NVIDIA Korea

• Excellent English communications skills both verbally and in written formats

Ways to stand out from the crowd:

• Experience in the embedded system, especially NVIDIA Jetson platform, composed of ARM CPU, NVIDIA GPU, NVIDIA JetPack SDK, and NVIDIA Isaac ROS (Robot Operating System)

What you'll be doing:
As a Support Solutions Engineer in NVIDIA Enterprise Experience, you'll work with Enterprise customers and internal teams to improve the availability and reliability of NVIDIA AI Enterprise products. Your main duties are:

• Taking ownership of and driving customer issues related to NVIDIA AI Enterprise software and hardware deployments, both internally and at Cloud Service Providers (CSPs), from inception through to resolution.

• Working with customers across the NVIDIA Datacenter solution full stack (including DGX Server, Networking, Storage, Applications)

• Bringing independent analysis, communication, and problem-solving skills to improve the customer experience.

• Authoring and incorporating technical solutions into our knowledge base.

• Collaborating closely with engineering teams to detail, reproduce, resolve issues and research new use cases with GPUs.

What we need to see:
To be successful in this role, we are looking for candidates who meet the following criteria:

• BS in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent experience.

• 5+ years of experience in system software development, cloud infrastructure, and troubleshooting customer issues.

• Strong understanding of computer science concepts with excellent knowledge of Python and scripting methodologies.

• Proven grasp of datacenter, cloud, and Artificial Intelligence technologies to provide comprehensive solutions for sophisticated installations, maintenance, or operations.

• Superb professional-level interpersonal and communication skills, essential for working closely with customers and engineers.

• A self-starter with a passion for solving problems, intellectual curiosity, positive approach, flexibility, analytical ability, self-motivation, and a team-oriented attitude.

• Experience with PyTorch, TensorFlow or AI Frameworks

Ways to stand out from the crowd:
While the above qualifications are essential, the following experiences will make you an exceptionally strong candidate:

• Experience as a developer and/or support team member addressing customer concerns for large enterprise/service provider customers at a company that produces AI and data analytics software.

• Background with Server Hardware Support and Linux systems

• Experience developing with C and/or Python.

• Certified in CSP (Azure, AWS, GCP or OCI) or Hypervisor (Citrix, Nutanix, Red Hat or VMware) Technologies

• Experience using Kubernetes, Docker and other cloud native technologies

What you will be doing:

• Maintain an up-to-date understanding of the philosophy, architecture, and deployment methods of various evolving NVIDIA Reference Architectures—e.g., NVIDIA DGX SuperPOD Reference Architecture, NVIDIA Cloud Partner Reference Architecture, and NVIDIA Enterprise Reference Architecture.

• Analyze and understand the requirements of customer-initiated AI training or inference clusters.

• Identify the NVIDIA Reference Architecture that best matches customer needs and effectively communicate its value proposition to collaborators.

• Facilitate seamless communication between NVIDIA's internal deployment teams and customers during the implementation of AI clusters based on Reference Architectures.

• Provide hands-on technical support to developers after the AI Factory has been deployed, ensuring that AI training and inference workloads run effectively on the infrastructure.

What we need to see:

• Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related technical field.

• Solid understanding of basic principles behind cluster orchestration, such as compute resource provisioning and dynamic prioritization based on user demand.

• Minimum of 3 years of hands-on experience operating AI training or inference clusters that leverage Kubernetes with NVIDIA GPUs.

• Proficiency in key technologies including: Container Runtime Interface (CRI), Container Network Interface (CNI), Calico, NVIDIA GPU Operator, NVIDIA Network Operator, and Kubeflow Training Operator.

Ways to stand out from the crowd:

• Foundational knowledge and experience with network technologies—such as InfiniBand and Ethernet—in AI cluster environments, including compute fabric interconnects between GPU servers, storage fabric integration, and in-band networks for system administration.

• Familiarity with the role of storage in AI training/inference clusters, including hands-on experience with vector databases and leading commercial storage solutions.

• Experience integrating MLOps platforms into Kubernetes environments, such as deploying Airflow for orchestrating distributed training workloads.

What you will be doing:

• Partnering with engineering, product and business teams, understanding their strategies and technical needs and helping define high-value solutions

• Dynamically engaging with developers, scientific researchers, data scientists, which will give you experience across a range of technical areas

• Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform

• Working closely with customers to help them adopt and build solutions using NVIDIA technology

• Some travel is required for this role, you are empowered to find the best way to support and make our customers successful

What we need to see:

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)

• 3+ years of hands-on experience, primarily with Machine Learning and Deep Learning software architecture and frameworks

• Strong programming skills, especially in Python

• Strong problem-solving and debugging skills

• Excellent knowledge of theory and practice of Generative AI and Large Language Models

• Excellent presentation, communication and collaboration skills

• Desire to be involved in multiple diverse and creative projects

Ways to stand out from the crowd:

• Experience with NVIDIA GPUs and software libraries, working with engineering or research community

• Background with Deep Learning at scale

• Experience with C/C++ programming

• Familiarity with parallel programming and distributed computing platforms