Solution Architect - Gen Ai jobs at Nvidia in Japan, Tokyo

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

• Develop developers of generative AI using NVIDIA solutions related to LLM, Agent AI and multimodal such as LLM stack (Nemo, TensorRT-LLM, Dynamo and Triton), NIM and Blueprints in customers, start-ups and partners.

• Build sample apps and demo pipelines that showcase of NVIDIA’s solutions

• Build strategy for promoting NVIDIA’s solution including competitors and market analysis

• Build a partner ecosystem to support integration of customer application by using NVDIA’s solution, which includes system integrator and start-ups.

• Represent NVIDIA at industry events, developer summits, strategic partner meetings and communities -evangelizing our AI strategy with both technical and business audiences.

• Making technical blogs, success stories, web articles, SNS contents and newsletters to communicate externally, working closely with marketing team and solution architect team.

• Drive early adoption of new product (early access) and support launch and go-to-market activities working closely with headquarters.

• Lead strategic relationships with key opinion leaders, leading ISVs and influential researchers.

• BS/MS/PhD in Computer Science or Engineering or equivalent experience

• 8+ years of experience in AI engineering, developer relations or technical partnerships.

• Deep knowledge of LLMs (e.g. LLaMA, Mistral, GPT, NeMo) and agentic frameworks (LangChain, AgentIQ, CrewAI etc.)

• Proficient in Python, Docker/Kubernetes, RESTful APIs.

• Ability to explain technical topics clearly, build compelling contents and drive developer engagement with good communication skill.

• A passion for AI business winning, a strong interest in new technology, excellent collaboration skills with a wide variety of internal team members, self-starter, self-confident individual with integrity and accountability, Highly motivated, competitive and attracted to an exciting opportunity. A proven ability to work in a fast-paced environment where strong listening skills are essential as is having strong problem solving, written, verbal and social skills along with excellent presentation skills.

• Technical knowledge of NVIDIA products and services.

• Good English communication skill in email and web conference. Proficient Japanese communication skill is must.

• Hands-on experience with developing LLM-powered services or application.

• Familiarity with NVIDIA’s Gen AI stack, including NeMo, Triton, TensorRT-LLM, NIM and blueprints.

• Experience in crafting multi-agent architectures or reasoning systems.

• Proven track record in scaling developer communities and launching high impact technical enablement programs.

What you’ll be doing:

• Be a technical expert with vision on integrating NVIDIA’s Isaac platform into robot development and simulation architectures to support various robotics applications. This includes creating reference architectures and demos that incorporate best practices around computational efficiency, performance, security, and scalability for complex simulated environments and digital twins.

• Support the business development team in guiding the customer through the sales process for NVIDIA’s GPU computing and 3D simulation products. Be responsible for the technical relationship and assist customers in building creative solutions based on NVIDIA technology.

• Engage with customers to develop a keen understanding of their goals, strategies, and technical needs, and help to define and deliver high-value solutions that meet these needs.Answer questions and provide mentorship – you will help them build their GPU-enabled robotics simulation and development infrastructure and get the most out of their investment.

• Document what you know, and guide others. This can vary from building targeted training for partners and other Solution Architects, to writing whitepapers, blogs, and wiki articles, to working through challenging problems with a partner on a whiteboard.

• Keep up to date on the state-of-the-art in robotics, digital twin creation and simulation, and physics engines advancements.

What we need to see:

• Excellent verbal, written communication, and technical presentation skills inJapanese. Businesslevel English communication is also a requirement.

• BS, MS or PhD in Engineering, Mathematics, Physics, or Computer Science.

• 3+ years of relevant industry experience in robotics development and validation (HW/SW design), and simulation software. ROS/ROS2 development experience is required.

• Extensive experience with 3D engines and platforms specifically for robotic simulation (e.g., NVIDIA Omniverse, PhysX, Isaac Sim, Unity, Unreal Engine, Gazebo), including their underlying physics engines and solvers, for tasks such as robot design validation, control algorithm development, synthetic data generation, and operational training in digital twins.

• Proficiency with 3D data formats (e.g.OpenUSD, URDF, STEP, FBX, OBJ, glTF) and corresponding workflows for robotics applications (e.g., stereo visual SLAM, LIDAR localization & collision avoidance, motion planning & navigation, AprilTag processing, point cloud processing within a simulated environment).

• Strong understanding of numerical methods and solvers used in robotics, kinematics, dynamics, and collision detection.

• C/C++/Python programming.

• Enjoy collaborating with teams across the organization such asEngineering/Research,Sales, Product, and Marketing.

• Self-starter with passion for growth, enthusiasm for continuous learning and sharing findings across the team.

Ways to stand out from the crowd:

• Technical expertise and experience in designing, implementing, and optimizing complex robotic digital twins and large-scale simulation environments, especially within specialized domains such as industrial automation, autonomous vehicles/robots, and/or healthcare robotics.

• Development experience with GPU computing, CUDA computing, and NVIDIA Isaac platform, including Omniverse / Isaac Sim and its extensions.

• External, customer-facing skillset and background. Experience working directly with Vendors or OEMs to build robotics applications.

• Experience with real-time simulation, hardware-in-the-loop (HIL), and software-in-the-loop (SIL) testing methodologies for robotics.

• Demonstrated skills in 3D environment reconstruction from real-world scans (e.g., LiDAR, photogrammetry, gaussian splatting) and their efficient import and integration into simulation platforms for digital twin creation.

• Exploring the latest advancement in model training, fine tuning and customization, while supporting building agentic LLM applications.

• Enabling NVIDIA strategic customers to build enterprise AI solutions using accelerated computing stack including NIMs and NeMo microserviecs.

• Collaborate with developers and onboard them to NVIDIA AI platforms and services by providing deep technical guidance.

• Establishing and building repeatable reference architecture, communicate standard processes and understand solution trade-offs. Share findings and feedback to improve products and services.

• Drive pre-sales conversations, build architectures and demos to accelerate the customer AI journey based on NVIDIA products, and work closely with Sales Account Managers to secure design wins.

• Create or run Proofs of Concept and demos that require presentation skills, the explanation of complex topics, and Python coding to execute data pipelines, train ML/DL models, and deploy them on container-based orchestrators.

• Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement.

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

• 5+ years of industry or academic experience related to Generative AI or Deep Learning

• Strong coding development and debugging skills. Including experience with Python, C/C++, Bash, and Linux

• Ability to multitask effectively in a dynamic environment

• Strong analytical and problem-solving skills

• Proactive and have a strong desire to share knowledge with clients, partners and co-workers

• Expertise in deploying large-scale training and inferencing pipeline

• Experience with pre-training, post-training of transformer-based architectures for language or vision

• A deep understanding of the latest generative AI or deep learning methods and algorithms

• Experience using or operating Kubernetes, as well as experience writing or customizing Kubernetes configurations

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology and amazing people.

• Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms

• Using your skills in AI, MLOps, ML engineering, DevOps, Kubernetes, and orchestration to deploy hybrid solutions

• Deliver customer on-boarding sessions and technical and architecture presentations with NVIDIA AI, Cloud technologies and solutions

• Run and own Proof of Concepts (PoCs), introducing NVIDIA Cloud Solutions and integrating them to new and existing accounts

• Work with NVIDIA’s product and architecture teams by providing customer requirements, feedback and prioritization

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

• 5+ years of working experience in DevOps roles in the areas of Cloud Computing, Cluster Orchestration or AI Workloads

• In depth knowledge with orchestration platforms like Kubernetes, SLURM or OpenShift

• Strong written and oral communication skills with the ability to optimally collaborate with customers, management and engineering

• Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects

• Good verbal communication and presentation skills in Japanese and English

• Working experience with major cloud service providers (such as AWS, GCP and Azure), or with AI Datacenter Providers or HPC Datacenters

• Expertise in Deep Learning and Machine Learning, with experience using deep learning frameworks such as TensorFlow or PyTorch

• Familiarity of NVIDIA AI Software platform (NVCF, Lepton)

• CKA - Certified Kubernetes Administrator

What you'll be doing:

• Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms

• Using your skills in AI, MLOps, ML engineering, DevOps, Kubernetes, and orchestration to deploy hybrid solutions

• Work as customer technical specialist to address customer workload, security & privacy and architectural requirements and seek their technical challenges

• Deliver customer on-boarding sessions and technical and architecture presentations with NVIDIA AI, Cloud and Networking technologies

• Run and own Proof of Concepts (PoCs), introducing NVIDIA Cloud Solutions and integrating them to new and existing accounts

• Debug SW issues, provide solutions to customers and report of bugs to NVIDIA’s product organization

• Work with NVIDIA’s product and architecture teams by providing customer requirements, feedback and prioritization

What we need to see:

• 8+ years of foundational expertise in Engineering, Computer Science, Data Science, or a related field

• Master’s Degree or Ph.D within Computer Science, Computer Engineering or similar field, or comparable work experience

• 3+ years of working experience in DevOps roles in the areas of Cloud Computing, Cluster Orchestration or AI Workloads

• Substantial experience in an IT role or alike for HPC or large scale AI systems

• In depth knowledge with orchestration platforms like Kubernetes, SLURM or OpenShift

• Expertise in Deep Learning and Machine Learning, with experience using deep learning frameworks such as TensorFlow or PyTorch

• Ideal candidate should understand how AI and HPC workloads interact with both HW and SW infrastructure

• Expert written and oral communication skills with the ability to optimally collaborate with customers, management and engineering

• Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects

• Strong analytical and problem-solving skillswith good verbal communication and presentation skills in English

Ways to stand out from the crowd:

• Working experience with major or tier-2 cloud service providers (such as AWS, GCP and Azure), or with AI Datacenter Providers or HPC Datacenters

• Experience with AI frameworks and tools on GPUs

• Ability and wiliness to travel to end customers

looking for a Solution Architect to work withJapan’s automotive manufacturers and partnersto enable them with our portfolio of GPU Accelerated Computing solutions i.e. Machine Learning and Deep Learning, specifically Generative AI, and to build comprehensive multi-cloud, hybrid and on-prem solutions

Japan’s largest automotive manufacturersdriving relationships with key executives and managers, and evangelizing accelerated computing.

What you'll be doing:

• Drive pre-sales conversations, build architectures and demos to accelerate the customer AI journey based on NVIDIA products, and work closely with Sales Account Managers to secure design wins.

• Create or run Proof of Concept and Demos that require presentation skills, explanation of complex topics, and Python coding to execute data pipelines, train ML/DL models, and deploy on container-based orchestrators.

• A considerable part of the day-to-day job is keeping up to date on the state-of-the-art in the Machine Learning and Deep Learning ecosystem, particularly with the emergence of Generative AI and Agentic AI. You'll be called on to help architect and scale high-performance, distributed AI deployments that are built on the latest NVIDIA GPU supercomputers.

• Document what you know, and guide others. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to working through challenging problems with a partner on a whiteboard.

• Answer questions and provide mentorship, assisting partners and customers on their mission-critical projects. You will help them build their GPU enabled Accelerated Compute datacenters and get the most out of their investment.

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

What we need to see:

• Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement.

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

• 5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU and CUDA experience extremely helpful.

• Extensive knowledge and hands-on experience with recent advancements in LLMs, VLMs, RAG, and Generative AI.

• Ability to multitask effectively in a dynamic environment.

• Strong analytical and problem-solving skills.

• Clear written and oral communication skills with the ability to effectively collaborate with management and engineering.

• Have a strong desire to share knowledge with clients, partners and co-workers.

Ways to stand out from the crowd:

• Technical domain expertise and experience developing AV perception and/or planning models, World Foundation Models, or smart cockpit Agentic AI applications.

• Development experience with NVIDIA Omniverse, sensor simulation, and NeRFs for scene capture and rendering.

• Background with cloud-based solution design, APIs and Microservices, orchestration platforms, storage solutions and data migration techniques

• Experience working with DevOps, including but not limited to Docker/Containers, Kubernetes, and Data Center deployments.

• Have a willingness and ability to dig into unfamiliar territories to tackle complex problems and be a great listener.