Qualcomm · 4 months ago
Director, Engineering | Principal Engineer/Manager
Qualcomm Incorporated is seeking a seasoned engineering leader to run software development for their enterprise AI organization. The role involves leading a global team to build full-stack AI solutions, managing software delivery, and collaborating with various teams to ensure the successful delivery of secure and compliant AI products.
Artificial Intelligence (AI)Generative AISoftwareTelecommunicationsWireless
Responsibilities
Own global software delivery for our AI solutions portfolio—roadmaps, release plans, staffing, budgets, quality, and operational readiness across regions and time zones
Lead and grow a high-performing, global engineering team (managers and ICs); set standards for design, coding, testing, security, and documentation; cultivate a culture of ownership, inclusion, and continuous improvement
Deliver enterprise-grade AI applications: chatbots and virtual assistants, MCP servers, workflow/decision engines, and agentic automations for complex business processes
Drive architecture and technical strategy for full-stack solutions (web and mobile) and platform integrations (APIs, events, data, identity, observability)
Scale with cloud-native practices: containerized services (Docker) orchestrated via Kubernetes; enforce IaC, GitOps, CI/CD, blue/green and canary strategies, and progressive delivery
Ensure data excellence across SQL/NoSQL/Search (incl. Elasticsearch): schema design, indexing, performance, backup/restore, governance, and cost management
Operationalize AI systems: define SLOs/SLAs, telemetry/observability (logs, metrics, traces), incident management, on-call rotations, and post-incident learning
Champion security and compliance by design: least-privilege access, secrets management, policy controls, PII handling, auditability, and adherence to enterprise standards
Manage a multi-project portfolio: intake & prioritization, cross-team dependencies, risk mitigation, change management, and executive stakeholder communication
Standardize frameworks & patterns for LLM orchestration, agentic workflows, retrieval/search, prompt and memory management, and evaluation/guardrails
Partner cross-functionally with Product, Data Science/ML, Platform/SRE, Security, and Business stakeholders to translate objectives into shippable, high-impact solutions
Measure what matters: establish OKRs and engineering KPIs (quality, reliability, velocity, cost); use data to guide decisions and continually raise the bar
Vendor and ecosystem management: evaluate tools and frameworks, negotiate licenses, manage partners, and ensure interoperability within the enterprise stack
Qualification
Required
Bachelor's degree in Engineering or related field (Computer Science, Electrical/Computer Engineering, or equivalent)
15+ years of overall software engineering experience with progressive leadership responsibility
~10 years relevant leadership experience leading software engineering teams delivering enterprise products/platforms
Demonstrated success running global teams and delivering multiple concurrent projects in a complex enterprise environment
Strong technical depth in: Languages/Frameworks: Python, Rust, TypeScript; React and React Native for web/mobile
Cloud-Native Delivery: Docker, Kubernetes; CI/CD and environment promotion strategies
Data: SQL and NoSQL systems; Search/Elasticsearch (design, indexing, performance tuning)
Enterprise AI solution delivery experience: building production-grade chatbots, MCP servers, workflow engines, and agentic AI/automations
Architecture and systems design expertise for distributed, event-driven, and API-first systems with strong reliability and security postures
Operational excellence: observability, SRE practices, incident management, and performance/cost optimization
Agentic frameworks: Semantic Kernel, LangChain, CrewAI, AutoGen (or equivalents) and experience integrating enterprise tools via MCP
Exceptional communication and stakeholder management skills; proven ability to align executives and cross-functional partners
Preferred
Advanced degree (MS/PhD) in a relevant engineering discipline
LLM/AI ecosystem expertise: orchestration frameworks (e.g., LangChain, Semantic Kernel), RAG/search patterns, evaluation/guardrails, vector indexing; experience standardizing agentic patterns at scale
Mobile at scale: React Native architecture, release pipelines, app store operations, and mobile observability
DevSecOps & SRE tooling: IaC (Terraform/Helm), GitOps (ArgoCD/Flux), OpenTelemetry, Prometheus/Grafana, feature flags, canary/AB testing
Data & streaming: Kafka or equivalent, CDC, event sourcing, and data contracts; experience with feature stores and ML metadata systems a plus
MLOps familiarity: model registries, inference gateways, evaluation pipelines, and performance monitoring (latency/cost/quality)
Identity & security: SSO, OAuth2/OIDC, RBAC/ABAC, secrets/KMS; compliance experience (e.g., SOX, HIPAA, GDPR) in enterprise settings
Portfolio/program management: establishing intake, prioritization, OKRs, and reporting for multi-team, multi-quarter initiatives
Cloud expertise (Azure/AWS/GCP) with cost governance and multi-environment strategies
Certifications: CKA/CKAD, major cloud certs, or security certs (e.g., CISSP) are beneficial
Benefits
Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package designed to support your success at work, at home, and at play
Company
Qualcomm
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices.
H1B Sponsorship
Qualcomm has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2013)
2024 (1910)
2023 (3216)
2022 (2885)
2021 (2104)
2020 (1181)
Funding
Current Stage
Public CompanyTotal Funding
$3.5M1991-12-20IPO
1988-01-01Undisclosed· $3.5M
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