Role Description The Principal Engineer, Verification (CI/CD & Embedded HW) is a senior individual contributor responsible for designing, scaling, and hardening CI/CD infrastructure and verification systems that validate Qualcomm’s AI Software stack—including QNN HTP, QAIRT, toolchains, kernels, and embedded runtime components. This role is deeply technical and hands-on: - Build large-scale automated pipelines - Integrate embedded hardware (DSP, NPU) test execution - Drive target-based regression infrastructure - Ensure efficient, reliable, and high-signal validation at scale REMOTE based is possible for this role. Key Responsibilities (IC-Focused) - CI/CD Infrastructure Architecture & Scaling - Architect and scale large-distributed CI/CD systems with high throughput and low flakiness - Design automated workflows: build, package, deploy, flash, run, log-collection, triage, dashboarding - Develop scheduling/orchestration layers for thousands of HW-based regression tests - Implement monitoring, telemetry, and automated mitigation for CI stability - Embedded Hardware Validation & Automation - Develop embedded target test frameworks across DSP/NPU - Automate flashing, provisioning, power/reset, and new chipset bring-up - Design hardware-in-loop validation for stability, thermal, long-run correctness, and performance - Test Strategy, Coverage Expansion & Signal Improvement - Own coverage strategy for throughput, correctness, memory behavior, and runtime scheduling - Develop automated triage signals and failure classification systems - Eliminate flakiness and nondeterminism in HW test environments - Open-Source & Internal Pipeline Ownership - Maintain CI/verification pipelines for internal and open-source projects - Enforce PR gating, reproducible builds, artifact management, and API correctness - Cross-Functional Influence - Influence DevOps, firmware, and platform teams using data-driven insights - Lead technical deep-dives on CI and embedded HW failures - Align infrastructure capabilities with program milestones and customer requirements - Documentation & Process Engineering - Produce high-quality documentation for CI architecture, HW frameworks, and best practices - Drive continuous improvement and streamline reproducible HW testing workflows Qualifications - 10+ years in CI/CD engineering, verification, embedded systems, or runtime/toolchain development - Expertise designing/scaling CI/CD (Buildkite, Jenkins, GitLab CI, GitHub Actions) - Deep experience integrating embedded hardware into automated pipelines - Background in firmware flashing, device provisioning, power/reset automation, and board-farm debugging - Strong scripting/programming in Python, Bash, C/C++ - Experience maintaining open-source verification pipelines - Strong debugging across runtime/driver/inference layers - Ability to influence cross-functional engineering teams Preferred Qualifications - Familiarity with Qualcomm AI stack (QNN, QAIRT, SNPE) - Experience with heterogeneous compute validation (DSP/GPU/CPU/NPU) - Background in silicon bring-up or hardware-in-loop systems - Experience with large device-farm operation and automation Success Indicators - Highly stable, scalable CI/CD pipelines with reduced failures/flakiness - Faster regression turnaround and increased throughput - Strong embedded target coverage with reproducible signals - Positive feedback from global engineering teams Minimum Qualifications - Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience - OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience - OR PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience Pay range and Other Compensation & Benefits $221,600.00 - $332,400.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants. In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play.

Role Description We are seeking a highly experienced Lead / Principal Cloud Infrastructure Engineer to join our Infrastructure practice. This is a single senior individual contributor and technical leadership role. The ideal candidate brings deep, hands-on expertise across both AWS and Microsoft Azure — spanning IaaS and PaaS — combined with strong Infrastructure as Code (IaC) skills, solid OS-level knowledge across Windows Server and Linux, and the ability to lead enterprise-scale cloud delivery programs. Key Responsibilities - Architect and deliver end-to-end enterprise cloud solutions on AWS and Azure, including hybrid and multi-cloud designs. - Own the IaC framework: design reusable Terraform module libraries, enforce coding standards, manage remote state, and implement policy-as-code. - Lead cloud migration, modernization, and greenfield infrastructure delivery programs. - Define DevSecOps patterns integrating security scanning, secrets management, and compliance into IaC pipelines. - Drive FinOps practices including cost governance, tagging standards, right-sizing, and cloud spend optimization. - Manage OS-level configurations, hardening, and patching strategies for both Windows Server and Linux environments. - Perform root cause analysis for P1/P2 incidents and lead post-incident reviews and permanent fixes. - Engage directly with client stakeholders to gather requirements, present architecture recommendations, and drive decisions. - Coach and develop junior/mid-level engineers; contribute to practice capability building and knowledge sharing. - Support pre-sales activities including solution design, effort estimation, and technical proposal development. - Evaluate new cloud technologies and services and introduce them into the practice toolkit. Qualifications - Operating Systems - Windows Server, Linux, AWS & Azure IaaS, PaaS. - Infrastructure as Code. - Leadership & Soft Skills. Requirements - AWS Certified Solutions Architect – Professional. - AWS Certified DevOps Engineer – Professional. - AWS Certified Advanced Networking / Security Specialty. - Microsoft Certified: Azure Solutions Architect Expert (AZ-305). - Microsoft Certified: DevOps Engineer Expert (AZ-400). - Microsoft Certified: Azure Security Engineer Associate (AZ-500). - HashiCorp Terraform Associate or Professional. - Certified Kubernetes Administrator (CKA). - Linux Professional Institute (LPIC-1 or LPIC-2) or RHCSA/RHCE. Benefits - Career development according to your profile and interests. - Work in one of the best companies and feel proud. - Access to an innovative methodology and tools. - Direct contact with experts worldwide. - Use of work schemes and cutting-edge technologies. - Constant training. - Work environment based on teamwork and collaboration. - Participation in International Projects.

Role Description Join us as a Mainframe Hardware Infrastructure Engineer. You’ll engineer infrastructure technology for public and private cloud environments, complying with security, resilience, sustainability, and operational requirements with observability and guardrails built in. You’ll also use automation to provide testing and a route to live for the product, working with customers to help them use our products appropriately through a users’ CI or CD pipeline. This is a chance to work with colleagues across the bank to share engineering best practices, allowing you to expand your network and gain exposure for you and your work. What you'll do - Contribute to and manage the selection, creation, and maintenance of technologies required to meet the needs of our customers, strategic targets, and architecture outcomes. - Develop products using modern engineering practices and tools. - Collaborate with stakeholders to inform product roadmaps, detailing lifecycles of the technology from new products through to end of support and retirement. - Support engineered products and respond to user feedback, new feature requests, and resolve production issues wanted by the Product Owner. - Develop technical skills through continuous learning and development. - Work within a team to design intuitive, self-service infrastructure products. - Contribute to the delivery of infrastructure as code solutions. - Work with users to help use our products and gain feedback. - Provide operational support for pattern or product related issues. - Generate innovative ideas and drive the delivery of those through product features. Qualifications - Experience in software development or automation scripting such as Python or Shell. - Understanding of the software development lifecycle. - Experience in utilizing modern infrastructure as code via tooling. - Good understanding of Agile working practices and toolsets. - Ability to relate everyday work to the vision of the feature team, platform, and domain. Requirements - Strong understanding of IBM Z hardware infrastructure, including DASD, SAN/FICON connectivity, and network infrastructure. - Experience using Hardware Configuration Definition (HCD) to implement and manage hardware configuration changes within multi-site, multi-sysplex environments. - Strong understanding of GDPS architectures and operations, including processor management, DASD replication, virtual tape technologies, and disaster recovery automation. - Working knowledge of the development of CI or CD pipelines using modern tooling. - Experience of using observability tools and techniques and the ability to use data, information, and user sentiment to continuously improve solutions. - Public cloud vendor knowledge covering GCP, AWS, and Azure. - Experience of working with technology deployed to an on-premise datacentre. Hours 35 Job Posting Closing Date 19/07/2026 Ways of Working Remote First

• Evolving the AI knowledge platform - taking the retrieval, indexing, and synthesis layer (currently semantic RAG + re-ranking + HyDE) to an organization-wide platform serving both internal engineering tools and customer-facing capabilities. • Architecting and operating agentic infrastructure on AWS - multi-step, tool-using AI systems that plan, retrieve, and act on complex queries and operational events, with cost guardrails and observability built in from day one. • Designing and building graph-based, relationship-aware retrieval across the organization's data sources, enabling multi-hop queries and letting agents accumulate organizational knowledge over time. This is on our roadmap, not in production - you will define the approach. • Partnering with product engineering to define the AI platform API surface, translating infrastructure primitives into developer-ready abstractions. • Building reference agent implementations on the platform - operational-incident triage, customer support, and future agentic use cases - grounding each agent's reasoning in institutional knowledge. • Owning the AI infrastructure cost model: monitoring compute, model, and storage spend, flagging anomalies, and proposing guardrails to keep workloads within defined budgets.