דרושים Senior Technical Instructor - Ai Data Center Infrastructure ב-אנבידיה ב-בריטניה

What you’ll be doing:

• Review product requirements and develop test matrix.

• Build testing-related documentation, including test plans, test approach, test cases and bug reports assessing quality and associated risks.

• Manage bug lifecycle and co-work with inter-groups to work towards solutions.

• Automate manual tests and assist in the architecture, building and implementing test frameworks.

• Enhance the existing testing frameworks used in the organization by our engineers, including yourself, for areas such as UIs, REST APIs, process automation and performance validation.

• Support a reliable fast feedback loop by integrating automation testing in CI and discovery pipelines.

What we need to see:

• BS or higher degree or equivalent experience in Computer Science, Electronics or relatwed discipline with 5+ years QA experience.

• Proficient with web based UI and RESTful APIs validation via code as well as Unix/Linux and shell/python programming skills.

• Familiarity with networking protocols as well as working command of the Python programming language.

• Rich experience in test cases development and failure root cause analysis.

• Track record in identifying areas of process improvement

• Good command of Cloud management systems and Kubernetes and supporting cloud infrastructure (Grafana etc)

• Experience with building and handling CI/CD pipelines.

• Hands-on experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, or integration into QA workflows

• Fine-tuning or training models for QA-specific tasks - adapting LLMs or other models specifically for testing, documentation analysis, or requirement validation

• Good QA sense including attention to detail, problem-solving, data analysis, quality standards knowledge, time management etc.

• Excellent communicator, fluent written and verbal English.

Ways to stand out from the crowd:

• Experience building AI systems such as RAG (Retrieval-Augmented Generation) pipelines, MRC (Machine Reading Comprehension) solutions, or AI agents

• Building AI-powered test generation tools - using LLMs to automatically generate test cases, test code, edge cases, or synthetic test data

• Experience working with NVIDIA GPU hardware is a strong plus

• Scalability or performance testing knowledge is a plus

• Experience with data analysis and system monitoring across distributed systems as well as experience with Golang

What You'll Be Doing

• Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in EMEA AI Natives with multi-functional partners to drive adoption of NVIDIA technologies.

• Accelerate critical workloads by demonstrating ground breaking solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines.

• Advise on the technical enablement resources—such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems for EMEA AI Natives

• Guide partners and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation solutions.

• Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.

• Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.

• Engage with partner engineering teams, technical leaders, and decision-makers to identify goals, solve technical challenges, and promote best practices for successful integrations.

• Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.

What We Need to See

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

• A minimum of 8+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience in your designated ecosystem (e.g., Telco, MarTech, etc.).

• Proven experience leading, partnering, and scaling developer programs at major technology companies, EMEA AI Natives, ISVs, or within relevant verticals.

• Significant technical proficiency guiding EMEA AI Natives in high-performance computing, cloud, AI/ML, and/or vertical-specific frameworks and libraries.

• Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers to executives.

• Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops

• Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external stakeholders (across sales, legal, product or marketing teams as needed).

Ways to Stand Out from the Crowd

• Hands-on experience building or optimizing vertical-specific solutions for Generative & Agentic AI

• Familiarity with advanced computing, AI, and/or GPU acceleration platforms

• Track record in crafting and implementing systems for real-time processing and low-latency decision-making.

• Successful history of building and scaling developer communities and delivering impactful technical enablement programs.

What You'll Be Doing:

• Support developers in your ISV segment as a technical consultant, resolving issues and promoting NVIDIA technology adoption.

• Accelerate critical workloads by demonstrating ground breaking solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines.

• Advise on the technical enablement resources—such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems

• Guide partners and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation solutions.

• Map, track, and supervise the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.

• Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.

• Collaborate with partner engineering teams, technical leaders, and decision-makers to identify objectives, address technical hurdles, and promote guidelines for successful integrations.

• Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.

What We Need to See:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).

• A minimum of 8-10+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, or customer-facing technical roles including 5+ years of direct hands-on experience working with software & technology companies in EMEA

• Proven experience leading, partnering, and scaling developer programs at major technology companies, ISVs, or within relevant verticals.

• Significant technical proficiency in high-performance computing, cloud, AI/ML, and/or vertical-specific frameworks and libraries.

• Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers to executives.

• Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops

• Skilled in coordinating complex technical projects, addressing needs, prioritizing concerns, and collaborating with various teams.

• Commercialproficiency/experience:

Ways to Stand Out from the Crowd:

• Hands-on experience building or optimizing vertical-specific solutions (e.g., network stacks, bidding algorithms, data pipelines, etc.).

• Familiarity with advanced computing, AI, and/or GPU acceleration platforms such as CUDA, Triton, NeMo

• Track record in crafting and implementing systems for real-time processing and low-latency decision-making.

• Experience working in customer-facing technical roles focused on technical evaluation and product integration

• Background in developing product partnerships and executing GTM strategies with externalorganizations/partnersas well as experience working with developers building AI-embedded products serving one of the following industries: Healthcare & Life Sciences, Financial Services, Automotive, Manufacturing, or Retail

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

What will you be doing:

• You will bring together and understand internal and external customer requirements to improve AI cluster resiliency and design AIOps-based solutions that address these needs.

• develop automated workflows for issue detection and root cause analysis and closely collaborate with operators to debug sophisticated, full-stack AI cluster problems. We will bring to bear the findings for product improvements!

• deliver compelling technical presentations and lead hands-on demos or training. You'll also handle evaluation deployments (POC/POV) and ensure smooth, reliable installations by staying engaged and encouraging throughout the customer journey.

What we need to see:

• Bachelor of Science or equivalent experience

• 12+ years of networking experience in enterprise or service provider environments, with strong hands-on expertise in routing and switching.

• Proficient in scripting and automation using Python or similar languages, with strong Linux expertise.

• Proven experience working directly with customers to resolve issues and ensure success in Systems Engineer or SRE roles.

• Exceptional oral, written, and presentation skills for clearly communicating complex technical topics.

• Demonstrated ability to collaborate effectively across teams, partnering with operations, engineering, and product development

Ways to stand out from the crowd:

• Experience with data center infrastructure and cloud architectures

• Background in network performance monitoring or observability

• Previous experience working at a technological start-up

What you’ll be doing:

In this role, you will be part of a fast paced and dynamic team who maintain in-depth knowledge of NVIDIA Go to market strategies, competitors and market landscape. Engage and develop deep V and C level relationship with customers, work with various groups such as account teams, solution architects, marketing, sales operations, and partner sales as well as ISV, OEM and Resell partners.

• Contribute to and be responsible for revenue growth.

• Build effective collaborations for making revenue generating opportunity management, promotions, building sales strategies and actions and training.

• Co-selling and pro-active engagement on end user opportunities with OEMs, Channel Partners and VARs to deliver against a defined revenue target.

• Communicate NVIDIA technology impact and value to the region; build demand for NVIDIA technologies in the Professional Visualisation (e.g. CAD, Design, Creative) and Data Science segments.

• Coordinate appropriate engagement of company resources including WW team to ensure sales success.

• Opportunity management - direct and via OEM and channel partners (NPN) with accurate forecasting and reporting on sales activities including pipeline development and progression

What we need to see:

• Bachelor’s degree or comparable experience.

• 10+ years of high technology quota carrying sales experience being responsible for the full sales cycle (prospecting, customer presentation/demos, negotiating, and closing the sale)

• Strong customer/partner relationship management skills.

• Experience building and carrying out a sophisticated sales strategy across multiple organisations.

• Appreciation of the networking and software sales market.

• A passion for success, a strong curiosity about business strategy, excellent collaboration skills with a wide variety of internal team members, self-starter, self-confident individual with integrity and accountability Highly motivated, competitive, and attracted to an exciting opportunity. A consistent record working in a fast-paced environment where strong listening skills are important as is having strong problem solving, written, verbal and social skills along with a willingness to learn.

• International and Domestic travel will be required.

• Experience utilising Salesforce (SFDC) or equivalent tools for pipeline management.

• Strong interpersonal and time management skills

• Logical, critical thinking, fast learner and good team-worker

• Are you an energetic individual that has a high degree of intellectual flexibility, and a track record of successfully growing revenue for new innovative technology based solutions? If so, we'd love to hear from you.

Ways to stand out from the crowd:

• A passion for NVIDIA, Graphics, Virtualisation, and AI

• Validated knowledge in influencing business practices and products to better align with customer needs

• Experience selling Enterprise Virtualisation solutions with a record of success.

• Experience in qualifying new customers to enable high growth revenue opportunities, product alignment, decision makers, etc

• Can demonstrate a strong technical foundation to establish credibility with customers and/or partners

• Collaborating with NVIDIA’s training framework developers and product teams to stay ahead of the latest features and help partners to adopt them effectively.

• Assisting with deployment, debugging, and improving the efficiency of AI workloads on extensive NVIDIA platforms.

• Benchmarking new framework features, analyzing performance, and sharing actionable insights with both customers and internal teams.

• Working directly with external customers to solve cluster performance and stability issues, identify bottlenecks, and implement effective solutions.

• Build expertise and guide customers in scaling workloads efficiently and reliably on the latest generation of NVIDIA GPUs.

• Contributing to Europe’s Sovereign AI initiative by helping customers implement advanced resiliency features within AI training pipelines.

• BS, MS, PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related engineering field—or equivalent practical experience.

• 8+ years of experience in accelerated computing technologies at cluster scale, ideally including work with NVIDIA platforms.

• Strong programming skills in at least one of the following languages: C, C++, or Python.

• Practical experience identifying and resolving bottlenecks in large-scale training workloads or parallel applications.

• Hands-on experienced in profiling and debugging large parallel applications.

• Solid understanding of CPU and GPU architectures, CUDA, parallel filesystems, and high-speed interconnects.

• Experienced in working with large compute clusters with an understanding of their internal scheduling and resource management mechanisms (e.g. SLURM or Cloud based clusters).

• Proficient knowledge of training pipelines and frameworks, encompassing their internal operations and performance attributes.

• Experience in debugging training pipelines running on thousands of GPUs in production environment.

• Hands-on experience with performance profiling and optimizations using tools like Nsight Systems, Nsight Compute and good understanding of NCCL, MPI and low-level communication libraries.

• Ability to debug stability issues across the entire stack: parallel application, training frameworks, runtime libraries, schedulers, and hardware.

• Solid understanding of the internal workings of LLM frameworks such as PyTorch, Megatron-LM, or NeMo, and how they affect compute layers like CPUs, GPUs, network and storage or understanding of inference tools such as vLLM, Dynamo, TensorRT-LLM, RedHat Inference Server or SGLang.