Oem Account Manager Consumer jobs at Nvidia

What you'll be doing:

• Lead documentation planning and prioritization sessions with cross-functional partners, embedding documentation requirements into Product Sprint Goal PRDs from day one

• Manage documentation workflow using Kanban, maintaining clear ownership, dependencies, and status visibility while tracking delivery through sprint cycles and product releases

• Champion Context Kits (structured prompts and guidelines) that help distributed teams build quality documentation with AI assistance, streamlining reporting and revealing operational insights

• Report on critical metrics including coverage, cycle time, sprint predictability, and developer satisfaction, identifying blockers and resolving delivery impediments

• Work closely with Technical Program Managers to integrate documentation checkpoints into release trains, facilitating backlog refinement, stand-ups, and retrospectives

What we need to see:

• Bachelors Degree (or equivalent experience) with 8+ years in program management, technical operations, or agile delivery with strong proficiency in Jira, Confluence, and agile tracking tools

• Proven track record coordinating work across matrixed organizations with clear communication style—leading effective meetings, writing streamlined updates, and aligning collaborators

• Active AI tool user (ChatGPT, Claude, Copilot, or similar) who demonstrates data-driven decision-making and can influence without authority across Product, Engineering, Marketing, and Customer Success

Ways to stand out from the crowd:

• Experience coordinating developer documentation in platform or SaaS companies, working alongside Technical Program Managers in complex product organizations

• Hands-on experience with Agile/Scrum/Kanban, continuous delivery, and docs-as-code workflows (Git, Markdown, static site generators)

• Demonstrated process improvements that measurably boosted team efficiency, with knowledge of developer platforms, SDKs, APIs, or simulation technologies

• Background in gaming, graphics, AI, or high-performance computing with proven AI workflow optimization—status reports, meeting summaries, workflow analysis, documentation reviews

• Developed tailored GPTs, prompt libraries, Context Kits, or reusable templates that optimized team efficiency and content quality

What you'll be doing:

• Lead, mentor, and scale a high-performing engineering team focused on deep learning inference and GPU-accelerated software.

• Drive the strategy, roadmap, and execution of NVIDIA’s inference frameworks engineering, focusing on SGLang.

• Partner with internal compiler, libraries, and research teams to deliver end-to-end optimized inference pipelines across NVIDIA accelerators.

• Oversee performance tuning, profiling, and optimization of large-scale models for LLM, multimodal, and generative AI applications.

• Guide engineers in adopting best practices for CUDA, Triton, CUTLASS, and multi-GPU communications (NIXL, NCCL, NVSHMEM).

• Represent the team in roadmap and planning discussions, ensuring alignment with NVIDIA’s broader AI and software strategies.

• Foster a culture of technical excellence, open collaboration, and continuous innovation.

What we need to see:

• MS, PhD, or equivalent experience in Computer Science, Electrical/Computer Engineering, or a related field.

• 6+ years of software development experience, including 3+ years in technical leadership or engineering management.

• Strong background in C/C++ software design and development; proficiency in Python is a plus.

• Hands-on experience with GPU programming (CUDA, Triton, CUTLASS) and performance optimization.

• Proven record of deploying or optimizing deep learning models in production environments.

• Experience leading teams using Agile or collaborative software development practices.

Ways to Stand out from The Crowd

• Significant open-source contributions to deep learning or inference frameworks such as PyTorch, vLLM, SGLang, Triton, or TensorRT-LLM.

• Deep understanding of multi-GPU communications (NIXL, NCCL, NVSHMEM) and distributed inference architectures.

• Expertise in performance modeling, profiling, and system-level optimization across CPU and GPU platforms.

• Proven ability to mentor engineers, guide architectural decisions, and deliver complex projects with measurable impact.

• Publications, patents, or talks on LLM serving, model optimization, or GPU performance engineering.

What you’ll be doing:

• Act as a technical advisor, collaborating with partner engineering teams on architecture, integration, and code for Isaac Sim, Isaac Lab, and AI-enabled robotics solutions.

• Build and maintain deep expertise in NVIDIA robotics SDKs, with a focus on simulation and robot learning.

• Track emerging trends in the robotics ecosystem to identify new opportunities.

• Co-design and deliver advanced robotic solutions with partners—defining objectives, architecture, milestones, and implementation plans.

• Create technical enablement resources, including sample code, reference architectures, integration guides, and workshops.

• Work closely with partner engineering leaders and decision-makers to identify challenges, recommend solutions, and drive adoption of NVIDIA robotic technology.

• Represent partner needs internally, providing feedback to NVIDIA’s product and engineering teams to influence future roadmaps.

• Support robotics startups with their synthetic data generation strategy.

• Support product launches and go-to-market activities with technical validation, demos, and customer-facing materials.

What we need to see:

• 6+ years in the technology industry, with at least 5 years in hands-on software development or engineering.

• Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field—or equivalent experience.

• Whole software development lifecycle experience—from requirements and design to testing, integration, and support.

• Technical background in at least one of: robot foundation models, simulation, synthetic data, robot perception, reinforcement learning, or imitation learning.

• Expertise with robotics simulation tools (e.g., Gazebo, MuJoCo, Isaac Sim, Robot Studio).

• Fluency with NVIDIA Jetson compute platforms and the Jetpack SDK

• Experience leading technical workshops, code reviews, and architectural design sessions.

• Strong communication skills for technical and executive audiences.

• Ability to structure and deliver complex technical engagements.

Ways to stand out from the crowd:

• Experience with NVIDIA tools and libraries (CUDA-X, Isaac Sim, OpenUSD, Cosmos).

• Recent hands-on experience with robot simulation tools.

• Knowledge of AIOps, cloud-native technologies, Kubernetes, Docker, and monitoring tools.

• Experience in training computer vision and/or kinematic foundation models

• Proven success in growing developer ecosystems through technical enablement.

The Deep Learning Software Team is seeking a Senior Technical Program Manager to lead software initiatives and develop Gen AI models enabling NVIDIA’s most advanced AI researchers and engineers to create the future of computing. This leader will guide engineering programs using the best industry processes well suited to our fast pace and rapidly expanding roadmap.

What You'll Be Doing:

• Engage with cross-company partners to plan programs and coordinate teams to meet key business objectives

• Guide engineering programs in all aspects of program management – planning, forecasting, documenting, scheduling, effective meetings, multi-faceted prioritization, management of dependencies, reporting, and effective handling of critical and blocking issues

• Guide engineering teams in the use of agile methodologies

• Develop and implement metrics for measuring program effectiveness and improvement areas, collect and analyze data in support of planning and data driven decisions

• Report on overall program status, providing insights and recommendations to senior management

• Drive organizational alignment and efficiency by coordinating with multi-functional leads and streamliningprocesses

• Work with multi-functional matrixed teams

• Guide teams designing for advanced, complex, competing and often conflicting customerrequirements

• Moderate technical discussions to successful conclusions

• Act as liaison between developers and customers, between technical and non-technical audiences

• Cultivate a culture of continuous improvement, finding opportunities for processenhancements

What We Need To See:

• Bachelor’s degree (or equivalent experience) in a related field with demonstrated program management expertise and mastery of technical and management practices

• 10+ years program management experience including proven ability managing global projects, adaptable to multiple time zones

• Demonstrated skill in engaging and moderating successful engagements with engineering partners and vendors

• Exceptional communication and presentation skills for diverse technical and non-technical audiences with strong problem-solving and conflict management skills

• In-depth understanding of software engineering principles and quality requirements in enterprise systems

• Strong multitasking abilities with a focus on thoroughness and rapid context switching

• Knowledge of agile methodologies and tools, project planning, and task tracking tools

• Experience in AI training environments and resource capacity planning

• Proactive in identifying and implementing efficient changes in software engineering and release management

• Excellent organizational skills and ability to use project management tools (e.g. Jira, Aha!, Confluence) and distributed version control systems (e.g. Git)

Ways To Stand Out From The Crowd:

• Background in computer science, machine learning, deep learning, open source software, and GPU technology

• Prior experience in production application software development, release and support methodology and DevOps

• Prior experience in the management of customer workflows using large scale distributed computing and working with AI researchers or directly training and evaluating AI models

• Consistent track record of driving process improvements and measuring efficiency

• A passion for sharing knowledge and experience driving complex projects end-to-end

What you’ll be doing:

• Lead with AI and sales insights, establishing credible relationships across Cisco sales.

• Develop and implement Cisco Sales GTM plan to meet quarterly and annual revenue targets.

• Become proficient in NVIDIA AI and Accelerated Computing

• Work with NVIDIA GTM and Sales teams, as well as Cisco Sales teams, to build the sales plan, define sales metrics, drive to goals, and track/report progress.

• Facilitate alignment with NVIDIA sellers and conduct in-field training/enablement with Cisco, leading campaigns and sales plays that provide substantial value for both Cisco and NVIDIA.

• Collaborate with the Channel GTM team, bringing to bear the Channel as a force multiplier.

• Build and track the sales pipeline, forecast demand, and deliver to forecast quarterly.

• Capture insights on deal wins and losses, using this information to build a stronger pipeline.

• Set up QBRs to review the sell-through of joint solutions and track revenue goals.

• Drive customer, sales, and ecosystem participation at Cisco, NVIDIA, and industry even.

What we need to see:

• BS or equivalent experience in Engineering, Computer Science, or a related technical field.

• 12+ years of a successful track record in sales and business development.

• A dedicated professional with a proven history of driving partner sales.

• Strong technical competence with the ability to translate technology into business benefits.

• Excellent presentation and communication skills, with command of the English language.

• Ready to travel and showcase NVIDIA and Cisco at marketing events.

Ways to stand out from the crowd:

• Ability to articulate NVIDIA AI Strategy exceptionally well.

• Proficiency in Data Center, Cloud, On-premises sales, and AI Computing Sales.

• Proficiency in NVIDIA processors and AI, Accelerated Computing.

• Experience selling with T1 OEM, Channel, and GSI.

What you'll be doing:

• Administer various incentives, such as rebates, discounts, and other rewards, to encourage partners to meet specific revenue range targets, drive customer adoption of NVIDIA's products, and increase partner business.

• Improve and have direct oversight to the rules, processes, and payments for various incentive programs.

• Build, manage, and provide assets for both internal and external audiences used to enhance partner financial benefit programs.

• Engage with partners and internal team members to provide training and guidance on the incentive program benefits, ensuring compliance with legal and financial regulations.

• Partner with sales and business leadership to identify and develop key incentive program initiatives to achieve business goals.

• Carry out and support regular reporting and business reviews with fellow team members within the company.

• Provide financial program communication strategy support to increase incentives awareness, benefits, and participation requirements.

What we need to see:

• Bachelor’s Degree or equivalent experience.

• 2+ years of experience in channel partner programs, partner marketing, or channel development, or a blend of benefits program involvement.

• Confirmed experience working with incentive programs aligned with business requirements, including training and enablement.

• Strong understanding of the partner ecosystem, business models, and Route to Market strategies.

• Effective problem-solving and decision-making skills.

• Highly organized, attention to detail, and ability to assist multiple priority projects to closure.

• Exceptional communication and social skills, ability to build positive relationships, and engage across all levels in the organization.

• Demonstrated experience and success in building effective program materials and training enablement tools.

Ways to stand out from the crowd:

• Enthusiasm for providing assistance and support to colleagues and clients, a strong interest in business strategy, and outstanding collaboration abilities.

• Demonstrated experience developing and leading innovative and effective partner programs.

• Self-starter, self-confident individual with integrity and accountability, highly motivated, driven, and attracted to a substantial opportunity.

• Proven ability to work in a fast-paced environment, leading multiple high-priority projects, where strong organizational skills are crucial.