דרושים ב-Nvidia ב-United Kingdom, Belfast

What you’ll be doing:

• Create automation tests based on manual scenarios and be involved in enhancing framework architecture and implementation for areas such as UI, REST API, process automation, and performance validation;

• Assist in building reliable fast feedback loops by integrating automation testing in CI and discovery pipelines;

• Help build testing-related documentation, including test plans, test cases, and bug reports;

• Manage bug lifecycle and collaborate with multi-functional teams to work towards solutions.

What we need to see:

• Currently pursuing a BS or higher degree in CS/EE/CE or related field

• Programming skills in Python or similar languages;

• Understanding of Unix/Linux and shell scripting basics;

• Hands-on experience using AI development tools;

• Strong attention to detail, problem-solving skills, and quality-focused attitude;

• Good communication skills in written and verbal English;

• Passion to learn new technologies and grow your skills.

• The period of tenure will be for one year based in our Belfast office.

Ways to stand out from the crowd:

• Academic or personal projects involving AI/ML, especially with LLMs or prompt engineering;

• Experience with test automation frameworks or building testing tools;

• Familiarity with NVIDIA GPU hardware;

• Coursework or projects in distributed systems, performance testing, or data analysis;

• Experience with version control systems (Git) and collaborative development workflows.

Applications will be accepted until December 6, 2025.

Please note: We will be reviewing applications on a rolling basis as they are submitted. We encourage you to apply early.

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

As a Senior Chip-Design Verification Engineer, you will join a group of passionate engineers to design and implement the next generation state-of-the-art SmartNIC and DPU platforms. In this position, you will make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication and data processing devices, delivering the highest throughput and lowest latency.

What you'll be doing:

• Work in a combined design and verification team which develops core units within the Network Adapter and BlueField SoC (System-on-Chip) silicon teams

• Use advanced verification methodologies like e/Specman and SystemVerilog/UVM to achieve verification closure

• Tests planning, tests and test environment development, build reference models, verify and simulate chip blocks/entities according to functional and performance specifications

• Work closely with multiple teams within organizations such as Architecture, Micro-Architecture, FW and Post-Silicon validation

What we need to see:

• Honours Degree in Electrical Engineering or Computer Science, or equivalent experience

• 5+ years of proven experience in RTL verification experience

• Knowledge of HDL (Verilog/VHDL)

• Experience in building test benches, debugging simulation failures and evaluating/closing coverage

• Exposure to industry standard verification tools for simulation and debug

• Strong interpersonal skills and the ability & desire to innovate

Ways to stand out from the crowd:

• ​Prior verification experience of DPUs, Network Adapters and/or high-speed interconnects

• Experience in e/Specman and/or SystemVerilog/UVM

• Background in Scripting (Python/Perl/shell)

• Knowledge of Ethernet and InfiniBand protocols

You will be able to do your life’s work at NVIDIA because you will be taken care of in the ways that matter most, through the many employee programs and career opportunities available.