דרושים Manager Deep Learning Inference - Onnx ב-אנבידיה ב-United States, California

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:

• 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.

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:

• Lead a team of TPMs driving the technical software and firmware execution for NVIDIA's NPI (New Product Introduction) and sustaining engineering teams.

• Drive the end-to-end SDLC for low-level server components, including firmware (BMC, UEFI/BIOS), drivers, and system management software, ensuring alignment with hardware schedules.

• Collaborate closely with NVIDIA product management and hardware engineering teams to define release plans and program objectives.

• Build a strong connection and feedback loop between sustaining and NPI engineering teams to improve product quality and development velocity.

• Lead process improvement initiatives and help propagate SDLC standards across multiple engineering and TPM organizations.

• You will have the opportunity to interact with diverse technical groups, spanning all organizational levels.

What we need to see:

• Bachelor of Science (or equivalent experience) or Master of Science degree in Computer Science, Electrical Engineering, or related field.

• 10+ overall years of experience developing and leading complex low-level or system software projects. and 5+ years of experience in a people management role.

• Deep understanding of system architecture, such as server topologies, Out of band management, UEFI/BIOS, interconnects (e.g., PCIe, CXL), memory management, RAS architecture etc.

• Previous experience working with complex system software for accelerators such as GPUs, DPUs, or FPGAs.

• Strong interpersonal, verbal, and written communication skills with a capability to achieve objectives under fast-paced timelines.

• Proven ability to lead multiple projects with contending priorities.

• Strong people management and mentoring skills and consistent record to build cohesive teams.

Ways to stand out from the crowd:

• Prior Senior Manager experience leading either engineering or program management teams.

• Deep understanding of software engineering principles and large-scale enterprise system architecture.

• Previous experience coordinating activities between HW, Firmware, and SW application organizations is a plus.

What You’ll Be Doing:

The core mission of this role is to optimize the flow of marketing projects and assets from inception to sales enablement. Your responsibilities will include:

• Prioritization and Intake: Build, lead, and implement standardized business processes and project intake mechanisms for the Networking Marketing team.

• Workflow Optimization: Document, monitor, and refine marketing workflows for various campaigns and product launches, with a focus on identifying bottlenecks, reducing delays, and maintaining quality across global teams.

• Dependency Management: Plan timelines, resolve required approvals, and identify key cross-functional dependencies to ensure project success and timely delivery.

• Enablement Strategy: Lead all aspects of the lifecycle of product marketing assets used for sales enablement, including playbooks, collateral, pitch decks, and technical whitepapers.

• Performance Measurement: Define and supervise key performance indicators to measure the effectiveness of operational processes and marketing assets.

• Cross-Functional Enablement: Develop marketing collateral and sales training to ensure effective use of tools, data, and established processes.

What We Need to See:

• Proven ability in Product Marketing, Marketing Operations, or a Technical Program Management role within a fast-paced technology organization.

• Working knowledge of data center, high-performance computing (HPC), and networking technologies (e.g., InfiniBand, high-speed Ethernet), and how they relate to AI and enterprise solutions.

• Demonstrated leadership with project management techniques and hands-on experience with management software.

• Demonstrated ability to translate complex technology capabilities into clear, simple positioning and messaging for both technical and executive audiences.

• Consistent track record to prioritize multiple complex projects and work independently with minimal direction in a highly complex, agile environment.

• Bachelors degree or equivalent experience.

• 8+ years experience preferred experience in business management, marketing or a related technical field.

Ways to Stand Out from the Crowd:

• Knowledge of, or prior experience with, NVIDIA's Networking solutions, products, and ecosystem.

• Mastery in storytelling and outstanding content creation skills, with the ability to create compelling narratives for any audience.

• Excellent understanding of marketing frameworks, methodologies, and toolkits used to scale global operations.

• Experience in using configuration tools to expedite and expand on-brand content generation for marketing and advertising campaigns.

What you'll be doing:

• Developing GenAIOps ecosystem strategy

• Working closely with strategic partners to identify accelerated computing and Generative AI product collaboration opportunities.

• Driving technical engagement and product collaboration with partners to support partners’ technology, product and solution development with NVIDIA products and technologies.

• Collaborating with NVIDIA’s product/engineering teams to influence the NVIDIA product and roadmap development based on the voice of NVIDIA partners.

• Collaborating with NVIDIA’s product, marketing, business development and sales teams, advocate partners’ solutions, showcase NVIDIA enabled solutions, and drive joint GTM with partners.

What we need to see:

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

• Strong leadership skills, excellent communication abilities and collaborative attitude

• Proven understanding and experience of MLOps, LLMOps, GenAIOps, generative AI, and/or agentic AI.

• 12+ years of meaningful work experience

Ways to stand out from the crowd:

• Background with NVIDIA GPUs, SDKs, and platforms.

• Experience of building strategic partnerships and a versatile ISVs ecosystem

• Expertise in deep learning, generative AI, agentic AI development and applications.