Senior Applications Engineer Genai Science jobs at Nvidia in Japan, Tokyo

What you'll be doing:

• Work alongside research teams worldwide adopting NV's GenAI SW for scientific data/models

• Debug, profile and recommend optimizations

• Provide customer feedback back into engineering teams on improving of NV's GenAI SW for science research and discovery.

• Participate in Gen AI hands-on hackathons/workshops that drive adoption of NV’s GenAI SW stack in the scientific community

What we need to see:

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

• Degree or equivalent experience in Computer Science, Applied Mathematics, or related engineering field (Masters preferred)

• 5+ years hands-on experience developing, optimizing and running AI/ML models or LLMs using popular frameworks (PyTorch, or similar), and languages (C++, Python)

• Deep understanding of Gen AI model architectures (GPT-x, Llama, MoE, etc)

• Ability to work independently and as part of a globally distributed team.

Ways to stand out from the crowd:

• Expertise in deploying large-scale training and inferencing pipeline

• Hands-on experience with customizing AI models for multi-modal scientific data

• Contributions to cornerstone research papers or open-source projects involving GenAI/AI for science applications

• Experience with complex workflows integrating simulation, AI models/GenAI models and running them on large scale HPC systems

What you’ll be doing:

• Provide onsite technical leadership for large-scale NVIDIA AI datacenter deployments, ensuring seamless integration and customer happiness.

• Troubleshoot and resolve complex hardware and deployment issues across GPU, networking, and storage technologies.

• Act as a technical expert supporting sales teams, driving adoption of NVIDIA solutions through close collaboration with customers and internal collaborators.

• Lead technical engagement with customer engineers, architects, and decision-makers to identify system architectures and key product requirements in the enterprise AI space.

• Support L11 factory integration activities by working with OEM partners to embed NVIDIA technologies into manufacturing workflows, accelerating deployment readiness and time-to-value.

What we need to see:

• Bachelor’s or Master’s degree in Engineering, Electrical Engineering, Physics, Computer Science, or equivalent experience.

• 8+ years of experience in system design or technical customer support within the technology industry, including hands-on involvement in L11 factory integration, validation, and scaling activities.

• Deep knowledge of datacenter hardware such as servers, storage systems, and network devices.

• Strong analytical, problem-solving, time-management, and organizational skills, with the ability to manage multiple complex initiatives in dynamic environments.

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

Ways to stand out from the crowd:

• Proven experience with large-scale datacenter rollouts and integration of solutions into OEM platforms, including support for L11 factory integration and the ability to scale production efficiently.

• Strong networking expertise across TCP/IP, RDMA, RoCE, NICs, and switches, with a solid understanding of CPU architecture and embedded Linux systems, APIs, and OS environments.

• Proficiency in Bash scripting, Ansible and Python programming, enabling automation, diagnostics, and performance tuning across complex system environments.

• Deep knowledge of GPU and DPU technologies, including NCCL for high-performance communication in multi-GPU systems.

• Familiarity with signal integrity principles, thermal management (HVAC and cooling), power distribution, cabling, and rack layout in the data center.

What you'll be doing:

• Partner strategy building

• Grow NVIDIA revenue and pipeline with assigned partners

• Build and maintain B-to-B relationships with ecosystem partners to enable our business with each product line group

• Build new business and solutions with ecosystem partners

• Partner management (target/KPI setting, sales/technical enablement, pipeline management, sales/marketing activities)

• Conduct periodical review meeting with partners

• Develop partner engineers who understand NVIDIA's technology, especially NVIDIA software stack (NIM/NeMo) and AI Factory

What we need to see:

• BA above or equivalent business experience, MBA is welcome

• Minimum 8+ years sales experience in IT/high tech industry

• Strong sales experience in enterprise market

• Sales experience/knowledge of software business through ecosystem partners or with ecosystem partners

• Good contacts within enterprise market

• High level contacts within the ecosystem (customers / channel partners)

• Good social skills, with a logical approach to problem solving, good time management and task prioritization skills

• Proactive and able to work with minimum supervision

• Self starter

Ways to stand out from the crowd:

• Good problem solver

• Enjoy working in a fast pace environment with multiple priorities, and an ambiguous yet creative work environment

• Strong communication skill both in Japanese and English

s major public research institutions

What You'll Be Doing:

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

• Identify and accelerate critical workloads by demonstrating cutting‑edge solutions that integrate the core NVIDIA 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 discovery, climate, robotics and bio science, robotics, etc.

• Lead research collaboration working closely with internal technical stakeholders in WW.

• 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 manage 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:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

• A minimum of 8-10+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience in accelerated computing.

• Significant technical proficiency in high-performance computing, AI/ML and/or material discovery, climate, bio science, robotics and related field.

• 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 execute complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external stakeholders (across sales, legal, product or marketing teams as needed).

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

Ways to Stand Out from the Crowd:

• Hands-on experience building or optimizing HPC and AI algorithm.

• Familiarity with advanced computing, AI, and/or GPU acceleration platforms such as CUDA, Gen AI, AI sarrogate mode, AI material/Drug discovery, robotics.

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

What you'll be doing:

• Be responsible for the revenue growth and pipeline generation in DGX and DGX Cloud Lepton working closely with internal and partner sales representatives across Japan.

• Develop the business growth strategies with Go-To market plans, competitors and market analysis, customer targeting, building a robust partner ecosystem including co-selling partners, system integrators, cloud partners, working closely with various groups such as product team, vertical and account sales, solution architects, marketing and partners.

• Opportunity management – working closely with sales, partners and sales operations for accurate revenue forecasting and reporting pipeline status.

• Provide the necessary support for the successful completion of the opportunities, involving headquarters members.

• Deliver the latest information of product and services to sales and partners for sales enablement and demand creation.

• Lead promotions such as making success stories, digital marketing and presentation in public event to accelerate adoption of DGX/DGX Cloud Lepton in the field working closely with partner and marketing team.

What we need to see:

• Bachelor’s degree minimum or equivalent experience. Master’s degree is desirable.

• 8+ years of sales/presales experience in IT system and/or IT services.

• Strong customer/partner relationship skills.

• Knowledge and/or experience in server systems, orchestration systems, cluster and job management systems and/or AI/ML Ops.

• Proven experience in building partner ecosystem and strong business outcome.

• Excellent communication skills with the ability to explain technical concepts for across members in partners and customers.

• A passion for winning, a strong interest in business strategy, excellent collaboration skills with a wide variety of internal team members, self-starter, self-confident individual with integrity and accountability, highly motivated. 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.

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

• Do you have a high degree of intellectual flexibility, and a track record of successfully growing penetration for new innovative technology based solutions? If so, we'd love to hear from you.

Ways to stand out from the crowd:

• Effective leadership history in strategy execution and business growth

• Experience and/or deep knowledge in Data Analytics, ML/DL and recent advanced generative AI technologies.

• Success stories in building sales strategy and execution resulting excellent revenue contribution

• Push the boundaries of the state of the art in DNN performance and efficiency, including model compression, quantization and neural architecture search techniques.

• Analyze, profile and optimize the latest DNN AI algorithms, and implement as production-quality software libraries for latency-critical use-cases on next-generation hardware.

• Collaborate with researchers and engineers across NVIDIA, improving the architecture of future NVIDIA chips and ensure that they are ready to support the latest advances in AI.

• Assist NVIDIA customers to bring ground-breaking products to life on the foundation of NVIDIA AI technology.

• University degree, or equivalent knowledge, in Computer Science, Electrical Engineering, Physics or Mathematics.

• 5+ years of work experience in related fields, AI, machine learning, HPC, numeric computing, with responsibilities that include inference/software optimization.

• Proficiency in C++, Python, data structures, algorithms, computer architecture and operating system concepts.

• Knowledge of deep-learning toolchains (PyTorch, TensorFlow, Keras, ONNX, TensorRT, numeric libraries, containers, etc.)

• Experience with neural network training, pruning and quantization, deploying DNN inference in production systems.

• Experience optimizing and implementing compute algorithms on accelerated hardware, such as SIMD instruction sets, GPU-s, FPGA or DNN ASIC.

• Familiarity with CNN, LLM and ViT architectures, as well as the latest progress in the field.

• Experience creating DNN models for solving production problems in any domain, including computer vision, speech recognition, natural language processing, optimization or generative AI.

• Experience implementing DNN inference via NVIDIA TensorRT, DLA, or natively using C++, CUDA kernels or low level libraries, such as BLAS.

• Experience building distributed deep-learning infrastructure, HPC, cloud programming.

• Contribution to open-source projects, including personal projects published as open-source (please provide link to github repository).

• Published paper at relevant conferences or in journals (e.g. NIPS, ICML, ICLR, CVPR, ICCV, ECCV, SIGGRAPH, etc.)

• Achievements in programming or machine learning competitions, such as Kaggle, HackerRank, TopCoder, etc.

• Lead NVIDIA’s Automotive Sales strategy in Japan, targeting development wins and driving growth initiatives.

• Promote NVIDIA's autonomous driving solutions and highlight our core value to automotive OEMs and related Tier 1 suppliers.

• Develop and strengthen customer relationships at the management level and across the customer organization.

• Develop strategic, effective, and actionable account plans that clearly outline growth strategies for the accounts you will cover.

• Coordinate cross-functional teams by communicating account strategies, managing opportunities, and providing feedback.

• 10+ years of professional sales experience, including 8+ years in the automotive industry with a proven track record of working with diverse business partners.

• Extensive experience leading large, virtual account teams including field application engineers, customer program managers, and solution architects towards a unified vision and strategy for each account.

• Demonstrated ability to excel in a cross-functional team environment.

• Capacity to thrive in a fast-paced, rapidly-changing environment.

• Preferred knowledge of Data Center and familiarity with NVIDIA technologies, including deep learning and computer vision.

• Strong business relationships and experience with automotive OEM and tier-1 customers.

• Willingness to travel as needed to meet with partners and lead training and sales support efforts.

• Bachelor’s degree required; Master’s/MBA preferred or equivalent experience.