דרושים ב-Nvidia ב-South Korea

What You'll Be Doing:

• Serve as the trusted technical advisor, problem solver, and champion for researchers who are using NVIDIA platform to drive adoption of NVIDIA technologies.

• Identify and accelerate critical workloads by demonstrating ground breaking solutions that integrate the core NVIDIA SW stack into developer’s platforms and pipelines.

• Advise on the technical enablement resources—such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems in HPC and AI for manufacturing sector across semiconductor design to automotive

• Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.

• Collaborate cross-functionally with solution architects, engineering, product management, and marketing to drive researcher engagement.

• Plan and lead workshops and hands-on training to promote understanding of NVIDIA technologies, striving to expand and deepen the developer ecosystem.

• Represent and advocate for researcher technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from research collaboration to influence product roadmaps.

What We Need to See:

• BS/MS degree in Computer Science, material science, Engineering, or a related field (or equivalent experience).

• A minimum of 5+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, direct hands-on development experience in accelerated computing.

• Significant technical proficiency in manufacturing, vision inspection, digital twin in factory, high-performance computing, AI/ML

• Excellent communication skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers to executives.

• Experience leading technical collaborations with engineering and product teams including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops

• Proven ability to structure and complete complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external collaborators (across sales, legal, product or marketing teams as needed).

Ways to Stand Out from the Crowd:

• Hands-on experience optimizing HPC and AI algorithm, Experience Accelerated Computing and Data Science Training, Industrial Digital Twins Training courses of NVIDIA Deep Learning Institute, plus certification

• Familiarity with advanced GPU computing, AI, and/or NVIDIA GPU acceleration platforms such as NVIDIA Metropolis SW Stack(Deepstream, TAO, Visual Search and Summarization Blueprint), PINN(PhysicsNemo), Omniverse, EDA Tools, Gen AI, computational lithography,

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

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'll Be Doing:

• Serve as the trusted technical advisor, problem solver, and champion for researchers who are using NVIDIA platform to drive adoption of NVIDIA technologies.

• Identify and accelerate critical workloads by demonstrating ground breaking solutions that integrate the core NVIDIA SW stack into researcher’s platforms and pipelines.

• Advise on the technical enablement resources—such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems in HPC and AI for science including material science, computational chemistry, climate, bio science, quantum computing etc.

• Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.

• Collaborate cross-functionally with solution architects, engineering, product management, and marketing to drive researcher engagement.

• Plan and lead workshops and hands-on training to promote understanding of NVIDIA technologies, striving to expand and deepen the researcher ecosystem.

• Represent and advocate for researcher technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from research collaboration to influence product roadmaps.

What We Need to See:

• BS/MS/PhD degree in Computer Science, Physics, Chemistry, Engineering, or a related field (or equivalent experience).

• A minimum of 5+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, direct hands-on development experience in accelerated computing.

• Significant technical proficiency in high-performance computing, AI/ML and/or material science, computational chemistry, climate, bio science, quantum computing etc

• Excellent communication skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers to executives.

• Experience leading technical collaborations with engineering and product teams including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops

• Proven ability to structure and complete complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external collaborators (across sales, legal, product or marketing teams as needed).

Ways to Stand Out from the Crowd:

• Hands-on experience optimizing HPC and AI algorithm, Experience Accelerated Computing and Data Science Training courses of NVIDIA Deep Learning Institute, plus certification

• Familiarity with advanced GPU computing, AI, and/or NVIDIA GPU acceleration platforms such as CUDA, CUDA-X libraries, CUDA-Q, Gen AI, PINN(PhysicsNemo)

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

What you'll be doing:

• Responsible for developing sales strategies for one of the largest Korea’s conglomerates.

• Develop and build a strong field operations team; consisting of sales, developer relationship manager, solutions architect, field marketing.

• Identify and resolve customers’ business need for NVIDIA products and platforms.

• Build and strengthen your business relationship with customers.

• Show broad sales coverage from field staff to C-level executives and the capabilities of delivering NVIDIA values to each type of customer.

• Achieving Sales quota associated with your accounts.

What we need to see:

• BA degree or equivalent experience.

• 10+ years proven experience selling solutions to large enterprise accounts.

• Field sales experience with consistent record of sales revenue growth and relationship building with large enterprise customers.

• Business experience in semiconductor, telecommunication, manufacturing, etc.

• Proven experience in leading operational process for sales.

• Experience in sales management, including direct sales, business development, and sales through partners.

• A thorough understanding of go-to-market strategies including account, products etc.

• Knowledge and experience specific to the industry vertical or geography associated with the role.

• Experience in growing sales performance in IT enterprise sales roles.

• Excellent communication skill both in Korean and English languages.

Ways to stand out from the crowd:

• Knowledge of GPU, IT Infrastructure, Data Centers and Computing Architecture.

• A detailed understanding of HPC, generative AI, digital twin and robotics.

• Experience in working with customers’ top-executives and building the strategic relationship.

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)

NVIDIA DRIVE® embedded supercomputing platforms process data from camera, radar, and lidar sensors to perceive the surrounding environment, localize the car to a map, then plan and execute a safe path forward. This AI platform supports , , and , plus other safety features—all in a compact, energy-efficient package. We need passionate, hard-working and creative people to help us tackle more of these challenging opportunities in Autonomous Driving and In-Car Infotainment.

What you’ll be doing:

• Develop solutions around NVIDIA GPU and Deep learning accelerators to realize DNNs for ADAS Systems.

• Optimize DNNs for the GPU and other hardware accelerators like DLA using CUDA/TensorRT.

• Improve DNN architectures using ML algorithms on NVIDIA GPUs or DLAs.

• Conduct benchmarking and evaluation activities to continuously improve inference latency, accuracy and power consumption of DNNs.

• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas to improve NVIDIA's automotive DNNs.

• Responsible for the technical relationship and assisting the automotive customer in building creative solutions based on NVIDIA technology.

• Collaborate with engineering teams in our US, APAC, India and Europe locations.

What we’d like to see in you:

• BS/MS or higher degree in Computer Science, Computer Engineering or Electrical Engineering.

• Experience in developing or using deep learning frameworks (e.g. TensorFlow, Keras, PyTorch, Caffe, ONNX, etc.).

• 5+ years of experience in optimizing DNN Layers for GPU or other DSPs.

• Proficiency in C and C++ and Data Structures.

• Strong OS fundamentals and knowledge of CPU/GPU architecture.

• Familiar with state-of-the-artCNN/LSTM/Transformersarchitecture.

Ways to stand out from the crowd:

• Strong analytical and problem solving skills, with good attention to details.

• Background with NVIDIA software libraries such as CUDA and TensorRT.

• Experience in automotive development processes like ASPICE or ISO26262.

• Excellent communication and organization skills, good time management and task prioritization.

• Open source project ownership or contribution, GitHub repositories, guiding and/or mentoring experience.

• Understanding of the DRIVE or NVIDIA GPU hardware.

What you’ll be doing:

• Achieve revenue targets through NCPs and develop and execute plans to grow the pipeline on a quarterly basis.

• Collaborate with key business leaders at NCP companies to develop and implement business plans, strengthening NVIDIA’s market presence.

• Ensure NCPs have a clear understanding of NVIDIA’s product portfolio and strategy, and work with them to establish and execute business plans optimized for the Korean market.

• Define and lead technical collaboration plans to help NCPs adopt NVIDIA platform-based accelerated solutions and build services around them.

• Actively engage in Korea’s sovereign AI initiatives to accelerate growth of the local AI market, and establish strong collaboration frameworks with key government agencies.

• Work closely with various cross-functional teams within NVIDIA (including Account Manager, SA, PM, and R&D teams) to develop strategies that drive the growth of each NCP.

• Drive engagement across NVIDIA’s broader partner ecosystem and create new business opportunities through collaboration with NVIDIA’s global partners.

What we need to see:

• Bachelor’s degree from a leading University or equivalent experience.

• 10+ overall years of sales or business development experience with demonstrated ability ideally within an overlay sales organization.

• Strong domain expertise in CSP, AI Industry with Executive relationships. Demonstrated experience with sell-to and sell-through.

• Experience with leading and closing sophisticated deal negotiations and alliances. Knowledge of pricing strategies, channel economics, and negotiation tactics.

• English communication skill sufficient to lead regular workshops with team members from the Asia-Pacific region and U.S. headquarters

• Able and willing to travel regularly

Ways to stand out from the crowd:

• A detailed understanding of generative AI, robotics and digital twin

• High energy with the capability to multi-task in a dynamic, rapidly growing organization

• Experience working directly with high-ranking government officials at the director-general level or above

• Experience working in and leading teams within the Asia-Pacific organization