Director, Engineering | Principal Engineer/Manager

Qualcomm-posted 2 months ago
$207,600 - $311,400/Yr
Full-time • Senior
Remote • San Diego, CA
5,001-10,000 employees
Computer and Electronic Product Manufacturing
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We're hiring a seasoned engineering leader to run software development for our enterprise AI organization. You'll lead a global team building full-stack AI solutions on top of our enterprise AI platform-everything from production-grade chatbots, MCP servers, and workflow engines to agentic AI and automations that drive measurable business outcomes. This role owns global software delivery end-to-end: portfolio planning, architecture, execution, quality, and operations at scale. You'll partner closely across product, data, security, infra/cloud, and business teams to deliver secure, reliable, and compliant AI products used across the enterprise. You combine deep engineering leadership with hands-on technical judgment across Python, Rust, TypeScript, React/React Native, and modern cloud-native delivery (Docker, Kubernetes). You're comfortable running multiple concurrent projects, guiding frameworks and patterns, raising the engineering bar, and creating clarity in a fast-moving, multi-stakeholder environment. This role requires full-time onsite work in San Diego, CA (5 days per week).

  • 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.
  • 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.
  • 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.
  • $207,600.00 - $311,400.00 salary range.
  • Competitive annual discretionary bonus program.
  • Opportunity for annual RSU grants.
  • Highly competitive benefits package designed to support success at work, at home, and at play.
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