Director, Program Management - Qualcomm Insight Platform (QIP)

Qualcomm•Santa Clara, CA

5d•$218,300 - $327,500•Onsite

About The Position

Qualcomm is seeking a Director of Software Program Management to lead end-to-end execution of software programs for the Qualcomm Insight Platform (QIP)—our end-to-end AI-based video analytics and VSaaS platform spanning edge, on-prem, and cloud deployments. This role is responsible for driving execution excellence across Engineering while partnering closely with Product Management, Engineering, and cross-functional stakeholders to ensure on-time, high-quality delivery aligned with market and customer needs. The Director serves as the primary execution counterpart to Product Management, owning planning, delivery, dependency management, and readiness across software components, while working closely with the engineering organization to ensure scalable, predictable execution of QIP across edge, on-prem, and cloud deployments. This is a highly visible, high-impact leadership role at the intersection of engineering delivery, product execution, and commercial success — with direct influence on Qualcomm's enterprise growth strategy across public safety, smart spaces, retail, and industrial markets.

Requirements

Bachelor's degree in Engineering, Computer Science, or related field.
8+ years of Program Management or related work experience.

Nice To Haves

8+ years of experience in software program management for AI, IoT, platform, or enterprise software products.
Demonstrated experience shipping complete, integrated products encompassing hardware, software, and cloud components — from design through customer delivery.
Experience delivering edge AI or computer vision–based platforms, including on-device inference and real-time performance constraints.
Hands-on experience managing programs that span device (edge/on-device), AI (models, inference, pipelines), and cloud (SaaS, orchestration, CI/CD) layers.
Strong understanding of hardware/software co-planning, platform dependencies, and scalability considerations.
Prior experience working closely with Product Management and Sales to support product launches and revenue outcomes.
Strong executive communication skills, with the ability to clearly articulate execution status, risks, and trade-offs.
Experience operating in fast-paced, ambiguous environments with competing priorities and customer-driven timelines.
Familiarity with video analytics, physical security, VSaaS platforms, or AI-driven enterprise software systems.
Experience with AI/ML software stacks, platforms, SDKs, or developer ecosystems.
Familiarity with AI frameworks, model lifecycle management, deployment workflows, performance optimization, and tooling ecosystems.
Experience managing software programs that span platform, solutions, and customer-facing deliverables.
Proven track record of shipping full-stack, integrated products that include hardware components (e.g., SoCs, edge devices, embedded systems), firmware, software stacks, and cloud services — with accountability across the entire product lifecycle from design through GA.
Strong experience with Device & Edge AI, including: On-device inference workflows and lifecycle management. Performance, power, and memory optimization across heterogeneous compute (e.g., NPU/DSP/GPU/CPU). Coordination of HW/SW co-design considerations impacting AI performance and scalability. Integration and delivery of edge AI SDKs, APIs, and developer enablement assets.
Strong experience with AI & Machine Learning, including: AI model lifecycle management — from training and validation through on-device deployment and iteration. Coordination of AI framework and toolchain dependencies across engineering teams. Management of AI performance benchmarking, optimization cycles, and quality gates. Experience enabling AI capabilities across heterogeneous compute (NPU, DSP, GPU, CPU).
Working knowledge of Cloud platforms and cloud-edge hybrid workflows, including: Cloud-based development, training, validation, and CI/CD pipelines. Deployment models that bridge cloud training/orchestration with edge inference and optimization. Understanding of customer and partner use cases that span edge, cloud, and hybrid architectures. Familiarity with multi-tenant SaaS delivery, cloud security, and enterprise-grade scalability.
Experience with vertical market deployments across public safety, smart spaces, retail, and/or industrial segments.
Proven success operating in high-ambiguity, fast-paced environments, balancing innovation velocity with execution discipline and customer commitments.

Responsibilities

Own and drive integrated execution of QIP software programs, spanning AI frameworks, SDKs, models, video analytics pipelines, tooling, optimization, and platform enablement from planning through GA and customer rollout — across edge, on-prem, and cloud deployment models.
Provide portfolio-level oversight across multiple AI initiatives and products, enabling alignment across platform, silicon, and solution layers — including vertical deployments across public safety, smart spaces, retail, and industrial markets.
Partner with Product Management to translate strategy and roadmaps into executable plans with clear milestones, priorities, and dependencies.
Serve as the primary interface to senior and executive leadership for program status, risks, trade-offs, and execution decisions.
Drive cross-functional alignment with Core SW/Platform SW, Tools, QA, DevRel, and Customer Engineering teams to ensure QIP software readiness across edge, on-prem, and cloud delivery models.
Establish and enforce program governance, including execution metrics, milestone reviews, dependency management, and change control.
Proactively identify cross-program risks and execution bottlenecks, especially those impacting customer commitments or external releases, and drive mitigation.
Lead execution rigor and operational excellence across the QIP Software Program Management team, continuously improving predictability and quality.
Develop and manage Plans of Record (POR) for multiple high-complexity QIP software programs, including schedules, resource planning, and dependency tracking across hardware, software, and cloud components.
Drive disciplined execution across globally distributed teams (US, India, China), ensuring consistent cadence and clear accountability.
Balance innovation velocity with execution discipline, enabling rapid iteration while protecting internal and customer milestones.
Represent QIP software execution in cross-org and executive reviews, including alignment with GTM, Sales, and Product Management leadership.
Coordinate end-to-end product readiness across hardware, firmware, software, and cloud layers — ensuring integrated delivery from silicon bring-up through customer deployment.