Jobs at Nvidia in Singapore

What you’ll be doing:

• You will be responsible for ensuring partners are aligned with key NVIDIA OEM programs and bring to bear the programs where sales would grow.

• Align with NVIDIA’s Global OEM Channel leaders to develop and execute channel sales plans for developing business and achieve the company’s sales goals.

• You will craft enablement strategies in conjunction with the OEM sales and channel teams aligned with NVIDIA’s Global GTM sales motions.

• Create and implement the strategy around overall OEM incentives and payment mechanisms.

• Build a robust opportunity pipeline and establish long-term business relationships and strategic relevance with selected high-revenue OEM partners.

• Collaborate with OEM & NVIDIA marketing teams to help complete effective channel marketing programs.

• Write documentation related to programs based on business needs.

• Act as a liaison between the OEM channel and NVIDIA teams.

• Travel for in-person meetings with customers and partners to develop helpful relationships.

What we need to see:

• 10+ years of proven sales and channel experience in selling major Enterprise OEM’s silicon, board, or system solutions.

• Proven knowledge of server, networking, and software industry trends and technologies.

• Proven track record to build and implement strategic sales channel plans.

• Daring and diligent in reaching sales objectives by using cross-functional teams and partners.

• You should have the ability to influence senior executives at key OEM Partners.

• Self-starter with ability to successfully work both independently and as part of a team.

• Excellent verbal and written communications skills.

• Upbeat and positive personality that thrives in a growing team and Multifaceted work environment.

• Bachelor’s degree or equivalent experience.

What You'll Be Doing:

• Establish and lead technical collaborations with supercomputing centers (SCCs) on hybrid quantum-classical applicationdevelopment acrossmultiple industry verticals.

• Spearhead research pathfinding in AI for quantum algorithms.

• Guide all aspects of and drive the execution of technical results for projects in collaboration with our strategic partnerships, including SCCs, leading QPU builders, and needle-moving researchers, ensuring alignment with strategic objectives and customer success.

• Contribute to NVIDIA’s revenue stream through strategic technical engagement and the development of innovative solutions that support customer adoption and long-term partnerships.

• Publish impactful research works and represent NVIDIA at relevant scientific, technical, and industry conferences.

What We Need To See:

• Ph .D. in Quantum Computing, Physics, Computer Science, or a related field (or equivalent experience) with over 5+ years of experience working on Quantum Algorithms and Applications.

• Deep insider knowledge of, and strong connections within, the Singapore quantum ecosystem.

• Demonstrated leadership in technical collaborations with industry partners. Excellent programming skills in Python, C++, and a parallel programming model (e.g., CUDA).

• World-class communication and interpersonal skills with a proven ability to articulate a value proposition to technical and non-technical audiences.

• A track record of research excellence demonstrated in publications and presentations at leading conferences.

Ways To Stand Out From The Crowd:

• Recognized thought-leadership in the cross section of quantum applied research and high-performance computing.

• Experience with the NVIDIA Quantum platform (cuQuantum and CUDA-Q)!

• Becoming an expert and enabling GSI developers to adopt NVIDIA Nemo and NIM for their Generative AI offerings, platforms and client services.

• Construct complex workflows with multiple steps for AI agents to analyze, strategize, perform tasks, access APIs, and fix errors autonomously.

• Work with Business Managers to thoughtfully craft the vision, actionable and effective strategies for the group.

• Closely Partner with other Solutions Architects, engineering, product and business teams at NVIDIA to build GenAI full stack solutions for industry vertical and enterprise use cases.

• Encourage industry executives and GSI leaders by articulating the business value from the state of the art in Generative AI.

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

• 8+ overall years of work-related experience in deep learning, data science or software development with knowledge of parallel computing with GPUs

• Strong development experience with RAG and workflows building Agentic AI applications.

• Developer experience with LangChain and LangGraph orchestrating LLMs

• Working experience of Orchestration platforms like Kubernetes and datacenter including compute, storage, and networking.

• Clear written and oral communication skills with the ability to collaborate with management and engineering. Share knowledge with clients, partners and co-workers.

• Have experience leading technical teams working with partners and customers.

• Proficient developer on NVIDIA platform using Nemo and NIM, ML/DL frameworks and MLOps ecosystem of tools and solutions in the cloud and on-prem.

• Experience with cloud based solution designing, APIs and Microservices, orchestration platforms, storage solutions and data migration techniques

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

What you'll be doing:

• Research, design and accelerate novel generative AI models
• Publish original research
• Collaborate with other team members
• Speak at conferences and events
• Transfer technology to product groups

What we need to see:

• Excellent knowledge of LLM and foundation models
• Publication at leading conferences (ie. CVPR, ICML, ICLR, ICCV, NeurIPS, etc)
• Pursuing a PhD degree in computer science or electrical engineering with strong research track records.
• Excellent programming skills in some rapid prototyping environment such as Python; C++ and parallel programming (e.g., CUDA) is a plus
• Familiar with machine learning frameworks.
• Excellent communication skills

What You’ll Be Doing:

• Drive the implementation and deployment of NVIDIA Inference Microservice (NIM) solutions

• Apply NVIDIA NIM Factory Pipeline to package optimized models (including LLM, VLM, Retriever, CV, OCR, etc.) into containers, providing standardized API access for on-prem or cloud deployment

• Refine NIM tools for the community, aiding them in building high-performing NIMs

• Build and implement agentic AI tailored to customer business scenarios using NIMs

• Deliver technical projects, demos, and client support tasks as directed by the Solution Architecture Leadership

• Provide technical support and mentorship to customers, facilitating the adoption and implementation of NVIDIA technologies and products

• Collaborate with multi-functional teams to develop and broaden our AI solutions portfolio

• Be an internal advocate for NVIDIA software and total solutions within the technical community

• Position yourself as an inspiring leader in the industry by incorporating NVIDIA technology, especially inference services, into LHA, business partners, and the broader community and Assist in supporting the NVAIE team and driving NVAIE business in China

What We Need To See:

• 7+ years of experience.

• Bachelor's or equivalent experience in Computer Science, Artificial Intelligence, or a relevant field.

• Proven experience in deploying and optimizing large language models. Proficiency in at least one inference framework (e.g., TensorRT, ONNX Runtime, PyTorch)

• Strong programming skills in Python or C++. Familiarity with mainstream inference engines (e.g., vLLM, SGLang)

• Experience with DevOps/MLOps, including Docker, Git, and CI/CD practices

• Excellent problem-solving skills and the ability to solve complex technical issues

• Proven ability to collaborate effectively across diverse, global teams, adapting communication styles while maintaining clear, constructive professional interactions

• Experience in architectural build for field LLM project. Expertise in model optimization techniques, particularly using TensorRT

• Knowledge of AI workflow development and implementation, and experience with cluster resource management tools. Familiarity with agile development methodologies

• CUDA optimization experience and extensive experience in crafting and deploying large-scale HPC and enterprise computing systems

What you'll be doing:

• Support the development and implementation of strategic marketing activities and campaigns in the areas of AI and deep learning, accelerated computing and high-performance computing.

• Work with regional sales and corporate headquarters to align marketing activities to meet company objectives.

• Ensure the value of the NVIDIA GPU platform is always at the forefront of our partners' marketing plans with accurate branding assets.

• Develop branded marketing content in collaboration with our campaign and business unit teams.

• Drive NVIDIA Enterprise marketing activities to increase attention, awareness and demand for Enterprise products and solutions.

• Create integrated marketing plans based on sales and partner strategies, aligning with corporate marketing campaigns.

• Travel needed (Guided by the latest NVIDIA Travel Policy)

What we need to see:

• Overall industry experience of 5+ years with several years of proven experience in partner management in high tech. Experience in handling hardware and software products and driving marketing executions with partners is preferred. It will be an added advantage if you have handled products inAI/DL/ML/Graphics/acceleratedcomputing domains.

• Excellent verbal and written communication skills, plus strong interpersonal and facilitation skills.

• Demonstrated experience driving programs and projects across cross-functional teams within an organization

• Hands-on approach to building country specific campaigns, assets and execution

• Able to work at various levels and domains across organizations to drive projects to completion

• Excellent understanding of Networking technology, Data Center, HPC and software development

• Bachelor’s degree in Marketing, Business, or related field.

Ways To Stand Out From The Crowd:

• Proven track record of working in a cross-functional distributed environment

• Self-motivated, autonomous individual who can work with little definition and supervision while multi-tasking and prioritizing across multiple projects and initiatives

• Highly professional team member who can deliver quality work under pressure and on tight schedules

• At ease dealing with constantly evolving environments

What you'll be doing:

• Deep understanding of AI for Robotics, Gen AI workflows and LLM breakthroughs, evolving ecosystem and alliances, attending conferences, 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 ideation, scoping and driving for adoption

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

• Discover new workflows, identify blockers to adoption for Physical AI, and report back to the product teams.

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

• 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).

• 10+ years of work-related experience in technical leadership role and architecting GPU accelerated computing solutions.

• Deep understanding of Physical/Embodied AI, Gen AI and LLM ecosystem of startups, ISVs, data stores, CSP services, and SaaS/platform offers.

• Strong analytical and problem-solving skills, with deep empathy for developers.

• 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 stakeholders.

• Extensive knowledge and experience with recent advancements in LLMs, VLMs Agentic AI and Gen AI.

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

• Passionate about AI and its evolving growth with continuous learning spirit, self-started and driven on focused outcome oriented activities

Ways to stand out from the crowd:

• Experience developing with ML/DL frameworks and AIOps/MLOps ecosystem of partners and solutions in the cloud and on-prem.

• Background of experience with NVIDIA Physical AI SDKs – ISAAC, DRIVE, Omniverse, GR00T

• Experience and empathy for software engineering and application development.

• Exposure to NVIDIA AI Software