Qualcomm Technologies
Director, Engineering | Principal Engineer/Manager
Qualcomm Technologies, San Diego, California, United States, 92189
Company
Qualcomm Incorporated
Job Area Engineering Group, Engineering Group > Software Engineering
General Summary 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.
Location and Schedule This role requires full‑time onsite work in San Diego, CA (5 days per week).
Key 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.
Required Qualifications
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 Qualifications
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/Google Cloud Platform) with cost governance and multi‑environment strategies.
Certifications: CKA/CKAD, major cloud certs, or security certs (e.g., CISSP) are beneficial.
Minimum Qualifications Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 8 years of Software Engineering or related work experience. OR Master’s degree in Engineering, Information Systems, Computer Science, or related field and 7 years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 6 years of Software Engineering or related work experience. 4 years of work experience with Programming Language such as C, C++, Java, Python, etc.
Preferred Minimum Qualifications Master’s Degree in Engineering, Information Systems, Computer Science or related field. 15 years of Software Engineering or related work experience. 4 years of supervisory experience. 4 years of experience with Database Management Software. 4 years of experience with API. 3 years of work experience in a role requiring interaction with executive leadership (e.g., Vice President level and above). 3 years of working with operating budgets and/or project financials.
Pay Range & Benefits Pay range: $207,600.00 – $311,400.00 Qualcomm offers a competitive annual discretionary bonus program and opportunity for annual RSU grants. Additional benefits include a comprehensive benefits package tailored to support success at work, at home, and at play.
Equal Opportunity & Accessibility Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e‑mail or call Qualcomm’s toll‑free number. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
EEO Statement Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
How to Apply If you would like more information about this role, please contact Qualcomm Careers.
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Job Area Engineering Group, Engineering Group > Software Engineering
General Summary 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.
Location and Schedule This role requires full‑time onsite work in San Diego, CA (5 days per week).
Key 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.
Required Qualifications
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 Qualifications
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/Google Cloud Platform) with cost governance and multi‑environment strategies.
Certifications: CKA/CKAD, major cloud certs, or security certs (e.g., CISSP) are beneficial.
Minimum Qualifications Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 8 years of Software Engineering or related work experience. OR Master’s degree in Engineering, Information Systems, Computer Science, or related field and 7 years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 6 years of Software Engineering or related work experience. 4 years of work experience with Programming Language such as C, C++, Java, Python, etc.
Preferred Minimum Qualifications Master’s Degree in Engineering, Information Systems, Computer Science or related field. 15 years of Software Engineering or related work experience. 4 years of supervisory experience. 4 years of experience with Database Management Software. 4 years of experience with API. 3 years of work experience in a role requiring interaction with executive leadership (e.g., Vice President level and above). 3 years of working with operating budgets and/or project financials.
Pay Range & Benefits Pay range: $207,600.00 – $311,400.00 Qualcomm offers a competitive annual discretionary bonus program and opportunity for annual RSU grants. Additional benefits include a comprehensive benefits package tailored to support success at work, at home, and at play.
Equal Opportunity & Accessibility Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e‑mail or call Qualcomm’s toll‑free number. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
EEO Statement Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
How to Apply If you would like more information about this role, please contact Qualcomm Careers.
#J-18808-Ljbffr