Technical Lead- Ai Stack, Staff Engineer
Qualcomm · Bengaluru · onsite · Posted 57d ago
Undisclosed8–13 yrsfulltimeSourced from
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About this role
Company: Qualcomm India Private Limited
Job Area: Engineering Group, Engineering Group > Software Engineering
Role Summary We are looking for a Technical Program Lead with strong Agile and Scrum delivery experience to drive large-scale, cross-functional development across the Data Center AI software stack. You will establish and run an effective execution cadence, enable teams to deliver predictably, and ensure transparent, data-driven decision-making. This role partners closely with Engineering, Product, and partner teams to manage scope, dependencies, risks, and releases across multiple teams, sites, and geographies.
Key Responsibilities - Lead end-to-end program execution across multiple Agile teams delivering components of the AI software stack (models, frameworks, compilers, runtimes, serving, and platform interfaces).
- Own and maintain the integrated plan (Plan of Record), aligning roadmaps to milestones, dependencies, capacity, risks, and delivery commitments.
- Partner with Product and Engineering to translate strategy into an executable backlog and release plan; facilitate prioritization and trade-off decisions.
- Establish and run Agile operating cadences (sprint planning, daily standups, reviews, retrospectives), and drive cross-team alignment via Scrum-of-Scrums / program syncs.
- Coordinate execution across distributed teams and geographies, ensuring clear ownership, dependency management, and shared definitions of done/ready.
- Drive release planning and change management (scope control, readiness criteria, go/no-go), ensuring predictable delivery and stakeholder visibility.
- Proactively identify and remove impediments; track and mitigate delivery, technical, schedule, and integration risks with owners and due dates.
- Communicate clearly with stakeholders at all levels; facilitate decision-making and alignment without direct authority.
- Create transparent program reporting with Agile metrics (velocity trends, burn-up/down, cycle time, throughput, quality signals) and delivery confidence.
- Drive continuous improvement across teams by coaching Agile practices, improving flow efficiency, and strengthening cross-team collaboration and release readiness.
- 8+ years of experience in program/project management delivering software in Agile environments (Scrum/Kanban), including multi-team initiatives.
- Working knowledge of modern AI/ML software systems and the ability to collaborate effectively with engineering teams on technical dependencies and trade-offs.
- Demonstrated ability to plan and deliver cross-functional programs involving Product, Engineering, QA, Operations, and partner teams.
- Experience working with distributed teams and managing execution across time zones and stakeholder groups.
- Strong facilitation and communication skills, with a track record of influencing outcomes without direct authority.
- Bachelors degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
- Scrum Master / Agile certification (CSM/PSM, SAFe, PMI-ACP) and experience applying Agile at scale (multi-team planning and dependency management).
- Proficiency with Agile tooling and reporting (e.g., Jira, Azure DevOps) and building lightweight dashboards for stakeholders.
- Experience driving release readiness and quality practices (definition of done, acceptance criteria, test planning, defect triage) for complex software systems.
- Technical familiarity with AI/ML platforms or cloud-native delivery (containers, orchestration, CI/CD, MLOps) to effectively manage dependencies and risks.
- Experience partnering with senior leadership on roadmap reviews, planning cycles, and executive-ready status communication.
- Servant leadership mindset with strong facilitation across Scrum ceremonies and cross-team forums.
- Execution excellence: ability to drive predictable delivery using Agile planning, clear working agreements, and data-driven inspection/adaptation.
- Strong stakeholder and dependency management across Product, Engineering, and partner teams; comfortable operating in ambiguity.
- Clear, structured, executive-ready communication with concise narratives, risks, and asks.
- Ownership and accountability for outcomes, with a continuous-improvement approach to process and team health.
- Predictable delivery of committed milestones and releases, with stable velocity/throughput trends and transparent scope management.
- Reduced cross-team friction through effective dependency management, clear interfaces, and proactive risk/impediment removal.
- Improved execution visibility via simple, trusted reporting and actionable Agile metrics (burn-up/down, cycle time, quality) that drive timely decisions.
- Strong stakeholder trust built through reliable commitments, effective facilitation, and continuous improvement in team delivery and quality.
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Skills
KanbanDevopsAzure DevopsAgileCadenceorchestrationprogramming languageMLOpsProgrammingChange ManagementCompilersAgile certificationPythonJira AtlassiancloudProject ManagementCommunication SkillsJavaoperationsMicrosoft AzureArtificial IntelligenceMachine Learning
About Qualcomm
Qualcomm
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Qualcomm invents breakthrough technologies that transform how the world connects, computes and communicates.
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