Principal SLT Test Engineer

About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for an experienced Silicon Test Engineer to join our Product Test and Diagnosis Department (PTD). This is a pivotal role and will involve building a team of engineers to develop System Level Test (SLT) capability within the company. Working closely with a cross-functional team you will implement SLT tests for a family of next generation AI Processors. The ideal candidate should have a focus on quality and demonstrate a good understanding of the importance of production test on the success of a product. T hey will have a proven Functional Test or ATE Test Engineering background, and will have a pragmatic, hands-on and flexible approach to a fast-changing environment. The Team The Product Test and Diagnostics team’s role is to detect and manage hardware defects that arise from the manufacture and use of our products. This covers chips, boards and finished systems and takes place both in the manufacturing sites and in the field. Responsibilities and Duties Managing a team of

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SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. SpyCloud’s solutions thwart cyberattacks and protect more than 4 billion accounts worldwide. Cybersecurity is an exciting, evolving space, and being at the forefront of the fight to disrupt cybercrime makes SpyCloud a special place to work. If you’re driven to align your career with a fantastic mission, look no further! As the Principal Product Manager, Investigations, you will define and drive the AI-forward product strategy for SpyCloud's investigations capabilities. You will enable security teams, fraud analysts, investigators, and threat intelligence professionals to uncover, understand, and act on cybercriminal activity using intelligent, automated, and scalable workflows. Reporting to the Director of Product, Enterprise & Investigations, you will own a strategic product portfolio that transforms complex cybercrime data into AI-powered investigative insights and decision-making tools. This is a highly cross-functional leadership role requiring close partnership with Engineering, Design, Data Science, Threat Intelligence, Go-to-Market teams, Customer Success, and Sales. You will balance long-term product vision with customer needs, market opportunities, and business priorities while delivering innovative, AI-driven capabilities that help customers investigate threats faster, reduce manual effort, and make more informed security decisions. What You'll Do: Own the product vision, strategy, and roadmap for SpyCloud's AI-powered Investigations product portfolio. Identify and drive opportunities to embed AI, machine learning, and automation into investigative workflows. Develop a deep understanding of customer investigative workflows, threat intelligence use cases, and evolving cybercrime trends. Translate customer problems, market opportunities, and business objectives into clear product requirements and prioritized roadmaps. Lead product discovery through custome

About the Job Set the performance direction behind large-scale AI systems built for real deployment. As a Principal AI Performance Engineer, you will define how Graphcore analyzes and optimizes AI training and inference workloads. Your work will shape decisions across hardware, software, networking and system architecture. You will lead the hardest performance investigations, from model behavior to multi-node scaling. You will turn profiling, benchmarking and modeling evidence into technical roadmaps and engineering priorities. You will set measurement standards, guide distributed communication strategy and review critical C++ and Python tools. Your judgment will help teams make better decisions when data is incomplete. This role gives you rare influence across AI infrastructure at data center scale. It is based in Austin, Texas. The team and culture The System Engineering Performance team architects, evaluates and optimizes high-performance infrastructure for large-scale data center deployments. The team works across the computing stack to understand real system behavior. Work happens through evidence, technical ownership and direct cross-team influence. You will guide strategy, resolve complex tradeoffs and raise performance-engineering standards across the organization. Decisions are shaped by benchmarks, simulations, models and clear technical debate. The team values engineers who think big, act fast, take responsibility, speak up and lead beyond their own area. What we’re looking for · Deep experience profiling and optimizing AI, machine learning or high-performance computing workloads at scale. · Proven technical leadership across complex performance-engineering or system-architecture initiatives. · Expert C++ and Python skills, including reliable tools or performance-sensitive software. · Expert understanding of compute, memory, communication and scaling behavior in distributed systems. · Ability to define benchmarks, measurement practices or optimization sta

About Graphcore Graphcore is a globally recognized leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data center hardware that provide the specialized processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. 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. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing. About the Role We are seeking a Principal Security Architect to design, maintain and secure scalable infrastructure solutions for cryptographic key management. In this strategic role, you will be responsible for evaluating, deploying and manage Hardware Secure Modules from the ground up, ensuring compliance with standards across different regions. You will also enable multiple teams by supporting them for control and automation. You will be expected to drive and implement policies for key and certificate creation, rotation, and revocation. Collaboration with stakeholders to analyze requirements and implement robust access controls is essential while demonstrating operational excellence. RESPONSIBILITIES Design and deploy scalable, secure infrastructure solutions from scratch, aligned with business requirements and security standards. Hardware Secure Module ownership and governance. Develop organizational standards, policies, access models, and workflows to ensure consistent, secure usage of the platform. Conduct risk and compliance assessments to support system security plans and disaster recovery strategies. Collaborate on requirement analysis, user and key story operations, and capacity planning to ensure optimal resource utilization. Advocate for best practices in secret lifecycle management, a

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 and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking an experienced Staff UEFI Engineer to design, develop, and deploy UEFI-based firmware for Graphcore’s hyperscale AI server platforms. This role focuses on developing system firmware responsible for platform initialization, hardware configuration, and reliability features across large-scale data center deployments. The Team Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. The Firmware Engineering team develops the foundational firmware responsible for platform initialization, hardware configuration, and system reliability across Graphcore’s AI compute infrastructure. The team collaborates with silicon engineering, hardware design teams, BMC firmware teams, validation engineers, and platform arch