

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
משרות נוספות שיכולות לעניין אותך

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 will be doing:
Be an inspiring leader on integrating NVIDIA technology into IT architectures to support scientific and engineering applications
Conduct regular technical customer meetings to discuss projects, present product portfolio and roadmaps, and deliver technical training
Manage technical aspects of complex datacenter solutions and deployments, including design-in opportunities and responding to RFP/RFI proposals, and interact with NVIDIA OEM partners to understand their product roadmap and positioning using NVIDIA technology
Interact with end-users in academia and industry, develop a keen understanding of their goals and needs, define and deliver high-value solutions that meet these needs
Communicate customer requirements to NVIDIA Engineering to foster product improvements
What we need to see:
Passion for HPC and AI
A postgraduate degree in a STEM related discipline or equivalent experience
5 years in the technical pre-sales of datacenter solutions
Significant expertise in complex system architecture and network topologies, GPU computing, parallel filesystems, cluster operations, workload schedulers, datacenter engineering, etc.
Action oriented with strong analytical skills, good organization skills to work in a heavily multi-tasked environment, self-motivated to work independently with minimal day-to-day direction
Strong collaboration and social skills, ability to communicate effectively with customers and across organizations (Engineering, Sales, Support), fluent in English both oral and written
Ways to stand out from the crowd:
Experience with NVIDIA software platforms for HPC and AI like CUDA, DOCA, NeMo, NIM, etc.
Experience working on EuroHPC-class procurements, benchmarks, performance analysis and projections

Fixed term duration: 12 months
What you'll be doing:
Drive and grow the EMEA Enterprise renewals business, identify trends, report on progress or areas of improvement and implement
Educate our partners, assist customers and operations teams on our renewal processes and drive efficiency improvements where applicable
Point of contact & handling of blocking issues for field teams, customers and partners throughout the renewal process
Complex problem resolution for Enterprise product orders and customer experience across customers, partners & internal team members
Manage all renewal tasks in a region, from quoting to order submission.
Participate in quarterly service business reviews and help to refine metrics and reporting. Maintain pipeline hygiene in Salesforce.com to improve reporting accuracy and data cleanliness.
What we need to see:
Experience in renewals and/or sales operations, preferably with hardware and software offerings.
5+ years of experience.
Bachelors degree in a related discipline or equivalent experience.
Strong Salesforce.com skills, preferably with Lightning. CPQ experience is helpful.
Highly motivated individual with the ability to influence and move opportunities to closure.
Experience in a fast-paced, high-transaction sales environment.
Affinity with IT, Enterprise Support, Customer Experience, Renewal Business
Familiarity with Nvidia technology ideally, but general computing/IT is ok
Proven track record to be self-directed and work with minimal direction
Ways to stand out from the crowd:
Curiosity about presentations and effectively communicate key points in sophisticated situations using data
Ability to prioritise and self-educate on relevant topics accordingly
An affinity with technology and technical subjects
Analytical approach to solving problems and driving improvements
Willingness to roll up your sleeves and go out of your comfort zone to get the job done.

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

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
משרות נוספות שיכולות לעניין אותך