All jobs

Principal Execution & QA Validation Engineer

Graphcore3h ago
Bengaluru, IndiaOnsiteFull-timePrincipal Level10+ yrs exp

Top focus

Qa EngineerPrincipal Engineer
  • About us
  • Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.
  • It is developing hardware, software, and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
  • As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
  • Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers
  • systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.
  • Job Summary
  • Reporting to the Validation leadership team, the Principal Execution and Quality Validation Engineer will be responsible for driving validation execution, automation, product quality
  • release readiness across Graphcore silicon and platform technologies.
  • The role combines deep expertise in hardware validation, test automation
  • quality engineering with a strong focus on execution excellence. Working closely with architecture, design, verification, firmware, software, systems engineering
  • validation teams, the successful candidate will develop scalable validation methodologies, improve test coverage and execution efficiency
  • ensure products meet the highest standards of functionality, reliability
  • performance before customer deployment.
  • As a recognized technical leader within the validation organisation, this role will influence validation strategies, automation roadmaps, and quality practices across multiple projects and engineering disciplines.
  • The Team
  • The Validation Execution and Quality team sits within the Validation organisation and is responsible for improving validation effectiveness, test execution efficiency, product quality
  • release readiness across Graphcore silicon and platform products.
  • The team develops validation methodologies, automation frameworks, test execution infrastructure
  • quality processes that enable engineering teams to execute validation activities at scale. Working closely with validation, architecture, firmware, software, systems
  • design teams, the group helps ensure products are thoroughly validated before release.
  • Responsibilities and Duties
  • Define and drive validation strategies for complex silicon, subsystem, and platform technologies, ensuring comprehensive coverage across functional, performance, reliability, and stress testing
  • Leverage advanced hardware knowledge to plan, optimize, verify, and test critical electronic systems, including silicon, FPGA-based platforms, test systems, and associated validation infrastructure
  • Develop and execute validation plans that ensure products meet quality, reliability, and performance objectives before release
  • Create detailed test plans from high-level validation requirements and test cases, ensuring timely execution and high-fidelity results
  • Design, develop, and maintain automation frameworks that enable rapid execution of test plans, regression suites, and validation activities
  • Lead silicon and platform validation activities from bring-up through product readiness
  • Conduct complex analysis of validation results and system behaviour to identify issues and opportunities for improvement
  • Collaborate with architecture, design, verification, firmware, software, systems engineering, and validation teams to implement new validation requirements and improve test coverage
  • Integrate new validation capabilities, methodologies, and test solutions into existing validation infrastructure to improve productivity, quality, and execution efficiency
  • Develop automated data collection, analysis, and reporting solutions to improve engineering visibility and decision-making
  • Evaluate complex design features to identify functional, compatibility, integration, and reliability risks
  • Investigate and drive resolution of complex validation failures through structured debug and root-cause analysis methodologies
  • Assess validation techniques, workflows, and engineering processes, introducing automation and process improvements to maximize productivity
  • Support power, performance, and system-level validation activities through development of scalable validation infrastructure and methodologies
  • Influence validation roadmaps, infrastructure development, and engineering best practices across the validation organisation
  • Act as the final validation authority for assigned areas, ensuring issues are identified and resolved before products reach customers
  • Drive continuous improvement initiatives that improve validation quality, execution efficiency, and engineering productivity
  • Mentor engineers on validation methodologies, automation frameworks, test execution strategies, and quality practices
  • Candidate Profile
  • Essential:
  • Strong experience in silicon validation, hardware validation, system validation, or related engineering disciplines
  • Deep understanding of validation methodologies, test planning, test execution, and quality processes
  • Strong experience developing automation frameworks for validation, regression execution, and test orchestration
  • Expert-level Python programming skills for automation, data analysis, and infrastructure development
  • Strong understanding of hardware systems, silicon bring-up, and validation workflows
  • Experience translating high-level requirements into structured validation plans, test cases, and measurable quality outcomes
  • Experience analysing validation results and driving root-cause investigations for complex technical issues
  • Strong understanding of validation coverage, quality metrics, release readiness criteria, and risk assessment methodologies
  • Experience collaborating across architecture, design, verification, firmware, software, systems, and validation teams
  • Excellent analytical, diagnostic, and problem-solving skills
  • Exceptional communication skills and the ability to influence technical direction across multidisciplinary engineering teams
  • Ability to independently lead complex technical initiatives and drive adoption of new validation methodologies and tools
  • Desirable
  • Experience with post-silicon bring-up and system integration activities
  • Experience developing large-scale regression systems and automated test execution infrastructure
  • Experience with FPGA-based validation environments
  • Experience automating laboratory equipment and validation environments
  • Familiarity with CI/CD systems and continuous testing methodologies
  • Experience developing dashboards, reporting systems, or engineering analytics tools
  • Experience with C, C++, or embedded software development
  • Experience working on AI accelerator, high-performance compute, or semiconductor products
  • Experience defining organisational validation standards, quality metrics, and engineering best practices

Required skills

Pythonhardware validationtest automationquality engineering
Posted on JobRush — the end-to-end AI job-search platform.