דרושים Servicenow Hr Service Delivery Developer ב-אנבידיה ב-ארהב

What you’ll be doing:

• Working with tech giants to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.

• Partnering with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.

• Serving as the main technical point of contact for customers engaged in the development of intricate AI infrastructure, while also offering support in understanding performance aspects related to tasks like large scale LLM training and inference.

• Conducting regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and debugging sessions.

• Collaborating with customers to build Proof of Concepts (PoCs) for solutions to address critical business needs and support cloud service integration for NVIDIA technology on hyperscalers.

• Analyzing and developing solutions for customer performance issues for both AI and systems performance.

What we need to see:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.

• 4+ years of engineering(performance/system/solution)experience.

• Hands-on experience building performance benchmarks for data center systems, including large scale AI training and inference.

• Understanding of systems architecture including AI accelerators and networking as it relates to the performance of an overall application.

• Effective engineering program management with the capability of balancing multiple tasks.

• Ability to communicate ideas clearly through documents, presentations, and in external customer-facing environments.

Ways to stand out from the crowd:

• Hands-on experience with Deep Learning frameworks (PyTorch, JAX, etc.), compilers (Triton, XLA, etc.), and NVIDIA libraries (TRTLLM, TensorRT, Nemo, NCCL, RAPIDS, etc.).

• Familiarity with deep learning architectures and the latest LLM developments.

• Background with NVIDIA hardware and software, performance tuning, and error diagnostics.

• Hands-on experience with GPU systems in general including but not limited to performance testing, performance tuning, and benchmarking.

• Experience deploying solutions in cloud environments including AWS, GCP, Azure, or OCI as well as knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc. Command line proficiency.

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

What we need to see:

• 10+ 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).

• 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.

• Proven success growing developer ecosystems through technical enablement.

What you'll be doing:

• Designing and building user-centric solutions using React, JavaScript, and associated platforms and tools.

• Building wireframes that clearly define page layout, structure, and user flow to ensure transparency and support user-centered design principles.

• Integrating front-end applications with Python-based and other back-end services for seamless functionality.

• Collaborating with multi-functional teams to develop, refine, and launch new product features.

• Staying ahead of evolving technologies, tools, and methods in front-end development to drive continuous improvement.

What we need to see:

• BS, MS, or equivalent experience in Computer Science, with 5+ years of front-end development experience.

• Expert-level proficiency in React, JavaScript (ES6+), HTML5, and CSS3.

• Strong design sense with experience building visually appealing, responsive layouts.

• Experience integrating APIs and working with Python-based back-end systems.

• Familiarity with version control (Git), CI/CD pipelines, and agile development practices.

• Superb communication and collaboration abilities.

Ways to Standout from the crowd:

• Experience leading front-end architecture or developing systems across large-scale projects.

• Advanced skills with TypeScript, Next.js, or similar frameworks.

• Experience using AI tools (e.g., Cursor, Copilot) in automation development.

• Hands-on experience with hardware validation and data analysis, contributing to higher quality and more reliable solutions.

What you’ll be doing:

• Identify, cultivate, and manage relationships within the XR ecosystem to increase adoption of NVIDIA XR and AI technology.

• Deeply understand XR roadmap and lead technical engagements and discussions.

• Resolve and distill feedback from partners into actionable strategies for product management and engineering.

• Develop and implement strategies to drive business growth in the XR industry.

• Identify and collaborate on customer success stories, webinars, blogs, events and marketing opportunities.

What we need to see:

• Bachelors degree or equivalent experience.

• 12+ years of related work experience.

• Expert ability to manage a diverse partner portfolio, strategically prioritizing relationships and defining joint initiatives to ensure resources are focused on the most impactful opportunities.

• Keen understanding of XR and AI hardware and software technologies and understanding of both the consumer and enterprise markets, and their potential business applications.

• Passion for GPU technologies, including VR, AR, and AI, and experience with SDKs and other developer tools.

• Demonstrated "hands-on" ability to dive deep into sophisticated software systems to understand their architecture and core functionality, and a talent for translating those technical concepts clearly for non-technical stakeholders.

• Proven success in a highly cross-functional role, with a strong ability to collaborate and communicate effectively across organizational boundaries with teams like Engineering, Product, Marketing, and Sales.

• A passion for commercializing innovation, with experience driving new technologies from initial concept to market launch in either a fast-paced startup or a large enterprise environment.

Ways to stand out from the Crowd:

• A track record of helping partners embrace new technology, from beachhead use cases through early scaling.

• Strong visual product storytelling skills for presenting sophisticated ideas clearly.

• Comfortable crafting simple XR mockups or prototype concepts to communicate ideas effectively with developers.

• Direct experience with, or an understanding of, robotics, automation, or physical-AI ecosystems.

• Comfortable with 10% travel time for events, press tours, and partner meetings.

What you'll be doing:

• Serve as the primary, high-impact contributor on complex features. Dedicate significant time to producing production code across the full stack, including UI, APIs, services, and infrastructure.

• Code Review Leadership & Quality Assurance: Lead the code review process, setting and implementing thorough coding standards, performance benchmarks, and architectural integrity to ensure all merged code is high-quality, maintainable, and robust.

• Architectural Ownership & Portability: Define and own the long-term technical roadmap, architecture, and design. This includes the required assurance that the deployment pipelines and services are platform-agnostic and easily deployable across the broader NVIDIA ecosystem, deliberately avoiding internal infrastructure dependencies.

• Foundation Model Deployment Strategy: Lead the strategic implementation of web services and efficient batch processing queues to seamlessly integrate and operationalize our world foundation models into the customer-facing platform.

• System Performance & Reliability: Implement and make sure standards for production-grade performance, monitoring, and fault tolerance across all services. Proactively identify and resolve systemic technical debt and scalability bottlenecks.

• Deployment & Operational Excellence: Take ultimate ownership of the CI/CD pipelines, container orchestration strategy (Kubernetes/Helm), and operational readiness, ensuring seamless scalability and reliability in production.

• Team Mentorship & Guidance: Mentor and guide the engineering team on advanced practices in full-stack development, distributed systems design, performance optimization, and clean, portable code architecture.

• Multi-functional Partnership: Act as the key technical liaison, translating complex requirements from Product Managers, ML Engineers, and Data Scientists into robust, portable, and implementable designs.

What we need to see:

This role requires a proven track record of significant experience and technical mastery:

• Minimum 12+ years of hands-on experience developing and deploying scalable full-stack web services in a cloud environment.

• Proven Tech Lead or equivalent Senior/Staff level experience with demonstrated ability to define system architecture, mentor engineers, and take end-to-end technical ownership of a major platform while remaining deeply active in coding and code reviews.

• Expert-level proficiency in designing and scaling distributed microservices architectures using gRPC and REST APIs.

• Deep expertise in modern frontend frameworks and building highly responsive, data-intensive UIs capable of managing high-frequency data flows.

• Direct experience designing and deploying containerized applications that use a GPU (e.g., NVIDIA Container Toolkit).

• Experience with MaaS (Model-as-a-Service) patterns and serving large machine learning models as high-throughput endpoints.

• Mastery of container orchestration, including Kubernetes and Helm for sophisticated, portable, multi-service production deployments.

• Proficiency in backend languages such as Python and/or Go, and TypeScript for the frontend.

• Strong practical experience with Cloud Infrastructure (AWS S3) and running complex data storage/access patterns (SQL, key-value stores).

• Expertise in CI/CD practices (GitLab, Jenkins) with a focus on automation, testing, and improving deployment velocity and stability.

• Bachelor's degree (B.S.) or equivalent experience in Computer Science, Software Engineering, Electrical Engineering, or a closely related technical field; Master's degree (M.S.) preferred

Ways to stand out from the crowd:

These skills represent a strong alignment with our specific domain challenges:

• Experience in data querying platforms such as Apache Druid, ClickHouse, or Elasticsearch.

• Familiarity with autonomous vehicle simulation environments (e.g., Carla) and synthetic data generation pipelines using foundational models.

What you'll be doing:

• Create fruitful technical engagements across the semiconductor design and manufacturing startup ecosystem and lead strategic relationships with key opinion leaders, top developers and ISVs, and influential researchers.

• Inform NVIDIA's strategy for semiconductor manufacturers and EDA/CAE ISVs by working with diverse teams including Product, Engineering, Marketing, Applied Research, etc.

• Use your technical expertise to discover high impact problems NVIDIA can uniquely solve that create new market paradigms.

• Drive early adoption of new products and support launch and go-to-market activities.

• Activate relationships with higher education and research and speak at relevant scientific, technical and industry conferences.

What We Need To See:

• 12+ years of experience with EDA ISVs or semiconductordesigners/manufacturers,e.g. Cadence, Synopsys, Siemens, ASML, AMAT, KLA, Lam Research, Samsung, SK Hynix, TSMC, Intel, etc.

• A track record of defining and delivering impactful technical engagements, managing technical and business alliances across multiple partner groups, and working with peer teams to achieve objectives.

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

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

Ways To Stand Out From The Crowd:

• Developer experience creating tools and/or solutions for EDA, high-performance computing, applied machine learning, or deep learning.

• Experience with AI physics models and model architecture including developing, defining, training, and deploying open or proprietary models.

• Experience with NVIDIA products and SDKs: CUDA, CUDA-X Libraries, PhysicsNeMo, Omniverse, etc.