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This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
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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

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This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Share
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Gross base salary$153,000—$229,600 USD
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Serve as the primary technical expert between NVIDIA and our customers, understanding their technology and provide the best AI solutions/ guidance on training process in terms of tools and methodology
Build proof-of-concepts and demonstrations that highlight the power of NVIDIA AI platforms in robotics
Partner with developers, researchers, technology specialists, IT professionals, and executives to facilitate the integration of NVIDIA technology
Work with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations.
MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields.
Deep expertise in AI/Deep Learning, with hands-on experience in training or optimizing VLMs for production
Expertise with deep learning frameworks for training VLMs (PyTorch, Nemo), and/or experience with such model's optimization methods and tools (TensorRT and Triton Inference Server).
Excellent verbal, written communication, and technical presentation skills in English.
5+ years' work or research experience with Python/ C++ / other software development
AI passionate with a growth mindset, ability to collaborate effectively with different teams (Engineering, Product, Sales, Marketing) in a rapid evolving environment while continuously learning and sharing insights.
Familiarity with Cosmos (e.g. Cosmos-Reason) and Isaac GR00T family of models.
Familiarity with robotics simulation environments (Isaac Sim, Isaac Lab, MuJoco, etc.).
Experience in large scale training / understanding of modern model, data, expert, context parallel training techniques.
Track record in Neural Networks inference optimization for Physical AI use cases

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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.

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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

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This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
These jobs might be a good fit