As an Account Executive, Product focused on Local Payment Methods, you will be a quota-carrying product-sales overlay responsible for growing adoption and revenue across new and existing Stripe users.

You will partner with Core Account Executives and Customer Success Managers throughout the sales cycle,from opportunity identification and discovery through business-case development, commercial negotiation, technical validation, implementation, activation, and expansion.

You will help some of Stripe’s largest and most sophisticated users understand how regionally relevant payment methods can support conversion, customer choice, global expansion, and sustainable revenue growth for users and payment-method partners.

You will develop deep knowledge of Stripe’s portfolio and the payment behaviors that shape commerce across AMER, including bank-based payments, wallets, real-time payment experiences, and other market-specific methods.

Responsibilities

• Deliver against an individual quota by driving adoption, payment volume, and revenue for Stripe’s local payment methods across AMER.
• Partner with Core Account Executives and Customer Success Managers to identify, qualify, develop, and close high-potential LPM opportunities across new and existing users.
• Build territory and account strategies that reflect local payment preferences and user expansion priorities across North America and Latin America.
• Lead discovery with business, product, finance, and technical stakeholders to understand customer needs and recommend appropriate payment-method strategies.
• Develop customer-specific business cases that connect LPM adoption to conversion, customer choice, market entry, and revenue growth.
• Lead complex commercial discussions and coordinate with Partnerships and Deal teams when opportunities involve payment-method partners or bespoke commercial structures.
• Work with Solutions Architecture, Product, Engineering, and Post-Sales teams to translate user requirements into viable integration and launch plans.
• Guide users from initial evaluation through technical validation, implementation, activation, and post-launch expansion.
• Monitor adoption and payment volume after launch, identify barriers and whitespace, and coordinate with account teams on growth plans.
• Serve as an internal and customer-facing LPM expert, creating field enablement, account-planning guidance, and repeatable regional sales plays.
• Synthesize market intelligence and user feedback for Product, Engineering, Partnerships, and Marketing to help inform product and go-to-market priorities.

Requirements

• 5+ years of experience in sales, business development, partnerships, or a closely related commercial role at a technology company, with a track record of strong performance against goals.
• Experience leading complex B2B sales cycles involving multiple business, commercial, and technical stakeholders.
• Ability to understand technical product requirements and translate them into clear customer outcomes and commercially viable solutions.
• Strong executive presence and the ability to communicate effectively with product and engineering teams, operational leaders, and C-level executives.
• Demonstrated ability to build collaborative relationships and influence cross-functional teams without direct authority.
• Experience developing business cases and leading complex commercial negotiations.
• A self-starting, highly organized approach and the ability to deliver results in an ambiguous, fast-moving environment.
• Excellent written, verbal, presentation, and analytical skills.
• Willingness to travel approximately 10% of the time for user meetings, team events, sales kickoffs, and occasional international business needs.

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As part of the Hospitality and Travel Solutions Architecture team, we work with some of key hotel and transportation chains to integrate accelerated computing and AI into their stacks. A Solutions Architect is the first line of technical expertise between NVIDIA and our Auto customers so you will engage directly with developers, researchers, and data scientists with some the most strategic customers as well as work directly with business and engineering teams on product strategy as it pertains to these customers.

The ideal candidate will have a Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience, with 8+ years of hands-on experience in a technical AI role, with a strong emphasis on Gen AI. They will be proficient in the latest and greatest model architectures and be able to articulate the computational complexities of each. They will also have a proven track record of deploying and optimizing LLM models for inference in production environments using well known inferencing engines e.g., vLLM, TRT-LLM, SGLang, etc.

Key responsibilities will include providing hands-on technical mentorship to partners and customers on Nvidia GenAI stack, building demonstrations and POCs for solutions that address critical business needs of our customers, educating customers on new NVIDIA GenAI technologies and platforms, and partnering with NVIDIA engineering, product, sales teams to secure design wins at customers.

The successful candidate will be eligible for equity and benefits, and will have the opportunity to work with a talented team of professionals in a dynamic and fast-paced environment.

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As a trusted advisor, you’ll transform raw LLM capabilities into high-performance, industry-focused enterprise agents.

Responsibilities:

• Build complex agentic systems featuring multi-agent coordination, long-horizon reasoning, and advanced planning frameworks.
• Develop full-scale solutions, including domain-specific enterprise agents and high-performance retrieval pipelines (RAG) spanning various data sources.
• Optimize inference performance by bringing to bear GPU-accelerated frameworks and the full NVIDIA AI infrastructure stack.
• Build hands-on PoCs and reference architectures that serve as the blueprint for production-grade generative AI pipelines.
• Collaborate alongside Enterprise ISVs to integrate NVIDIA software into native platforms, accelerating the deployment of production workloads.
• Collaborate with diverse internal teams to improve NVIDIA software through feedback from real-world implementations.
• Empower partner engineering teams through technical workshops, deep-dive architecture reviews, and developer enablement.
• Scale global expertise by crafting reusable assets and documentation that help field teams deploy agentic AI at scale.

Requirements:

• BS/MS/PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
• 8+ years of experience in deep learning, machine learning, or distributed AI systems.
• Strong programming and debugging experience in Python, C/C++, and Linux environments.
• Background in using deep learning libraries like PyTorch or TensorFlow.
• Hands-on experience building LLM and generative AI applications.
• Experience working with agentic or multi-agent AI systems employing frameworks such as: LangGraph, LlamaIndex, CrewAI, LangChain, OpenAI Agents SDK or similar orchestration frameworks
• Experience building tool-using AI agents that interact with APIs, databases, and enterprise systems.
• Ability to rapidly prototype AI applications and build scalable GPU-accelerated architectures.

Ways to Stand Out from the Crowd:

• Experience working with NVIDIA GPUs and AI software, such as NVIDIA NIM, NeMo Framework, NeMo Retriever, and NeMo Agent Toolkit.
• Background with LLM evaluation frameworks, benchmarking systems, and safety guardrails for agentic workflows.
• Experience with pre-training/fine-tuning techniques like SFT, LoRA, DPO, PPO, GRPO, DAPO, or RLVF
• Experience optimizing reasoning-focused LLMs through timely engineering, quantization, or benchmarking.
• Background with parallel or distributed computing environments and AI workloads optimized for GPUs.

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As a Senior Deep Learning Performance Architect, you will design novel GPU and system architectures to advance the forefront of AI Inference performance and efficiency. You will construct, investigate, and test popular deep learning algorithms and applications, understanding and analysing the relationship between hardware and software architectures as it influences future algorithms and applications.

You will build efficient power and performance models of AI inference stack, while capturing minimal but significant information to guide next-gen HW architecture. You will collaborate across the company to guide the direction of AI, working with software, research, and product teams.

To succeed in this role, you will need a strong mathematical foundation in machine learning and deep learning, expert programming skills in C, C++, and/or Python, familiarity with GPU computing (CUDA or similar) and HPC (MPI, OpenMP) stack, and strong knowledge and coursework in computer architecture.

If you have a background with systems-level performance modelling, profiling, and analysis, experience in characterising and modelling system-level performance, accomplishing comparison studies, and documenting and publishing results, and a background in improving AI Inference workloads by developing CUDA kernels or compilers for custom ASIC hardware, you will stand out from the crowd.

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locationsUS, CA, Santa ClaraUS, Remote

time typeFull time

posted onPosted Yesterday

job requisition idJR2007944

We are looking for a Senior Software Engineer to become part of our storage management plane team. The management plane is a web-based application crafted to provide our storage customers the capabilities to handle and supervise our distributed storage infrastructure. Our team is continually dedicated to acquiring and implementing ground breaking technologies to overcome obstacles and innovate solutions for improving our ability to handle large clusters of machines efficiently.

What You Will Be Doing:

• Maintain and develop Kubernetes operators and our Container Storage Interface (CSI) plugin.

• Develop a web-based solution that manages, operates and monitors our distributed storage.

• Work closely with other teams to define and implement new APIs.

What We Need to See:

• B.Sc., M.Sc. or Ph.D. in Computer Science, or related discipline, or equivalent experience.

• 8+ years of experience in web development (both client and server)

• Proven experience with Kubernetes (K8s), including developing or maintaining operators and/or CSI plugins.

• Experience scripting with Python, Bash or similar. Experience with nodejs is a must

• At least 5 years of experience working in a Linux OS environment

• You’re smart and a quick learner

• You do what it takes to get the job done

• Passionate about coding and big challenges

Ways to stand out from the crowd:

• NodeJS for the server side: dominant modules are async & express. Kafka, MongoDB, K8s

• JavaScript frameworks: React, jQuery, c3j

• HTML5, CSS3, Bootstrap and Websockets; Scripting (Python and Bash) as well as Git and Linux

NVIDIA has continuously reinvented itself over two decades. NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. This is our life’s work — to amplify human imagination and intelligence.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to extraordinary growth, our elite engineering teams are fast-growing fast. If you're a creative and autonomous manager with a sincere real passion for technology, we want to hear from you.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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