{"id":3199315,"url":"https://alion.io/job/qualcomm-senior-director-eda-hpc-engineering-platforms","title":"Senior Director, EDA & HPC Engineering Platforms","company":{"id":94,"name":"Qualcomm","domain":"qualcomm.com","url":"https://alion.io/company/qualcomm","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"C","score":69,"open_postings":1051,"ghost_share":0.249,"stale_share":0.149,"repost_share":0.456,"time_to_fill_p50_days":74,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Diego, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":229800,"max":344600,"currency":"USD","period":"year","gross":null,"usd_annual":344600},"salary_estimate":null,"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Active Directory","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Ansible","optional":false},{"name":"ANSYS","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"ClickHouse","optional":false},{"name":"Configuration Management","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"Grafana","optional":false},{"name":"HPC","optional":false},{"name":"Incident Management","optional":false},{"name":"JFrog Artifactory","optional":false},{"name":"Kubernetes","optional":false},{"name":"LDAP","optional":false},{"name":"Least Privilege","optional":false},{"name":"Linux","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"OpenSearch","optional":false},{"name":"OpenShift","optional":false},{"name":"Podman","optional":false},{"name":"Power BI","optional":false},{"name":"Prometheus","optional":false},{"name":"Puppet","optional":false},{"name":"Self-Healing","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SLURM","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"Splunk","optional":false},{"name":"Tableau","optional":false},{"name":"Terraform","optional":false},{"name":"Unix","optional":false},{"name":"Bash","optional":true},{"name":"GitHub Actions","optional":true},{"name":"GitLab CI","optional":true},{"name":"Jenkins","optional":true},{"name":"Perl","optional":true},{"name":"Python","optional":true},{"name":"Rest-Assured","optional":true}],"status":"live","first_seen_at":"2026-10-19T00:00:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-31T19:59:19Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Company:\nQualcomm IncorporatedJob Area:\nInformation Technology Group, Information Technology Group > IT ManagementGeneral Summary:\nAbout the Role\nWe are seeking a strategic, hands-on Senior Director of EDA & HPC Engineering Platforms to lead the vision, architecture, and global operations of the compute, data, and development infrastructure behind our silicon and systems engineering.\nThis leader will own an end-to-end portfolio spanning HPC grids and intelligent scheduling, EDA license orchestration, source code and design data management (SCM), Linux/Unix and container platforms, observability, analytics and data engineering, and engineering IP protection. You will define a multi-year modernization roadmap across on-premises data centers and hybrid cloud, set enterprise technical standards, and build a high-performing organization that design and CAD teams see as a true engineering partner.\nThis is a senior leadership role with significant influence on engineering productivity, tape-out schedules, infrastructure investment, and the security of our most valuable intellectual property.\n**Position Requires to be in San Diego, in office 5 days a week\n Minimum Qualifications:\n• 10+ years of IT-related work experience with a Bachelor's degree.OR\n12+ years of IT-related work experience without a Bachelor’s degree.\n7+ years of supervisory or leadership experience.\n3+ years of work experience in a role requiring interaction with senior leadership (e.g., VP level and above).\n*Completed advanced degrees in a relevant field may be substituted for up to two years (Master’s = one year, Doctorate = two years) of the general IT-related work experience.\nWhat You Will Do\nStrategy & Organizational Leadership\nDefine and own the multi-year strategy, target-state architecture, and investment roadmap for EDA/HPC platforms, aligned with engineering program milestones and business priorities.\nLead a global organization of Directors, Managers, Architects, and SREs; build succession plans, career frameworks, and a culture of operational excellence, ownership, and continuous improvement.\nServe as the executive point of contact for EDA/HPC infrastructure with engineering leadership, CAD, Security, Legal, Finance, Procurement, and Facilities.\nGovern architecture through Architecture Decision Records (ADRs), design reviews, and technical standards across all platform domains.\nOwn the annual operating plan, budget, and capacity investments; present business cases, ROI, and TCO analysis to executive leadership.\nHPC Grid & Intelligent Scheduling\nDefine the target state for multi-scheduler operations (IBM LSF, Altair PBS Pro/Accelerator, Slurm), including queue design, fairshare models, preemption, reservations, and resource guardrails.\nLead scheduler modernization, consolidation, and migration programs using dual-run strategies that minimize disruption to active design programs.\nDeliver job submission APIs, workflow and pipeline orchestration, interactive and session scheduling, and self-service capabilities for engineering users.\nEnsure high availability, disaster recovery, and performance at scale across global data centers.\nDrive heterogeneous compute strategy (CPU architectures, high-memory nodes, GPU/accelerators) aligned with EDA workload profiles.\nEDA License Orchestration\nOwn license management strategy across major EDA vendors (Synopsys, Cadence, Siemens EDA, Ansys, and others), including FlexLM/FlexNet, RLM, and license server infrastructure.\nIntegrate license-aware scheduling, rusage governance, and policy controls to reduce denials, improve throughput and fairness, and simplify cross-cluster feature management.\nDeliver license utilization analytics that inform vendor negotiations, renewals, and true-up decisions, in partnership with Procurement and Finance.\nSource Code & Design Data Management (SCM)\nOwn the strategy, architecture, and operations for enterprise SCM and design data management platforms, including Git/GitHub Enterprise, GitLab, Bitbucket, Perforce Helix Core, Dassault DesignSync, IBM ClearCase, Subversion (SVN), and related systems.\nDefine a forward-looking SCM roadmap, including rationalization of legacy platforms (e.g., ClearCase, SVN) and migration strategies that preserve history, traceability, and IP integrity.\nEstablish standards for branching, workspace management, large-file and binary handling, replication across global sites, and performance for large design repositories.\nIntegrate SCM with CI/CD pipelines, regression systems, artifact repositories (JFrog Artifactory, Nexus), and code review and quality tools.\nEnsure SCM platforms meet requirements for high availability, backup and recovery, access control, and audit.\nPartner with CAD and methodology teams on design data management for hardware workflows (RTL, verification, physical design, analog/mixed-signal).\nLinux/Unix, Compute & Container Platforms\nOwn the enterprise Linux/Unix engineering platform (RHEL, Rocky Linux, SUSE, and legacy Unix as needed), including OS lifecycle, hardening, patching, and EDA tool compatibility certification.\nDrive infrastructure-as-code and configuration management at scale (Ansible, Terraform, Puppet/Salt) with automated, repeatable, and auditable provisioning.\nLead container adoption for HPC and engineering workloads (Apptainer/Singularity, Docker, Podman) and orchestration platforms (Kubernetes, OpenShift) where appropriate.\nDefine standards for golden images, tool packaging, environment modules, and reproducible engineering environments across on-premises and cloud.\nPartner with storage and infrastructure teams on high-performance storage (NetApp, Weka, IBM Storage Scale/GPFS, Lustre, VAST, or similar), data tiering, and I/O performance for EDA workloads.\nAnalytics & Data Engineering\nBuild and lead an analytics and data engineering function that turns platform telemetry into decision systems for engineering and executive stakeholders.\nArchitect scalable data pipelines and platforms (e.g., Kafka, Spark, Airflow, ClickHouse, Snowflake, Databricks, or similar) that ingest scheduler, license, storage, SCM, and infrastructure data.\nProductize dashboards and self-service analytics (Tableau, Power BI, Grafana, or similar) covering utilization, job wait times, license efficiency, storage growth, cost allocation, and engineering productivity.\nDeliver capacity planning and forecasting models, including predictive and ML-driven approaches, tied to program schedules and tape-out demand.\nEstablish data governance, quality standards, data catalogs, and chargeback/showback models.\nExplore AI/ML opportunities for intelligent scheduling, anomaly detection, failure prediction, and workload optimization.\nTelemetry, Observability & Reliability\nBuild a converged observability stack for metrics, logs, and traces (Prometheus, Grafana, ELK/OpenSearch, Splunk, or commercial APM).\nDefine SLIs and SLOs for critical engineering services, with high-signal alerting, canaries, runbooks, and error budgets.\nImplement auto-remediation and self-healing capabilities such as job throttling, host quarantine, intelligent routing, and automated failover.\nLead incident management, post-incident reviews, problem management, and a predictable change and release cadence.\nEngineering IP Protection & Access Control\nLead engineering IP classification and least-privilege access models across compute, storage, SCM, and collaboration platforms.\nImplement secure enclaves and containment for sensitive programs, third-party IP, customer and partner collaboration, and export-controlled data.\nBuild monitoring, audit, and data loss prevention pipelines that prevent IP contamination while enabling productive collaboration.\nPartner with Information Security, Legal, and Compliance on regulatory, contractual, and export control requirements (e.g., ITAR/EAR where applicable).\nIntegrate identity and access management (LDAP/Active Directory, SSO, RBAC/ABAC, privileged access management) across platforms.\nHybrid & Cloud HPC\nDefine the hybrid HPC strategy and reference architectures for cloud burst and cloud-native EDA execution (AWS, Azure, GCP).\nEstablish patterns for images and tooling, data locality and transfer, object storage, license connectivity, security, and cost/performance visibility.\nLead FinOps practices for cloud spend governance, and graduate pilots to production safely and economically.\nVendor & Partner Management\nOwn strategic relationships with EDA vendors, hardware OEMs, scheduler and SCM vendors, storage providers, and cloud partners.\nLead contract negotiations, renewals, and vendor performance governance in partnership with Procurement.\nWhat Success Looks Like (First 12-18 Months)\nA published multi-year EDA/HPC platform strategy and target-state architecture endorsed by engineering and IT leadership.\nMeasurable improvements in job wait times, grid utilization, and license denial rates.\nAn SCM rationalization roadmap with at least one legacy platform migration underway or completed.\nA production analytics platform delivering trusted, self-service insights on utilization, cost, and capacity.\nDefined SLOs for critical services, with improved availability and reduced mean time to recovery.\nA strengthened IP protection posture with documented classification, enclave patterns, and audit coverage.\nA production-grade hybrid cloud HPC capability with clear cost and performance governance.\nA stable, engaged, and growing leadership team with clear roles and succession plans.\nWhat You Will Bring\n15+ years of progressive experience in HPC, EDA infrastructure, or engineering IT, including 8+ years leading multi-level organizations (managers of managers).\nDeep expertise operating mission-critical, large-scale compute grids running multi-vendor EDA flows in semiconductor, systems, or similar engineering environments.\nMastery of scheduler design and operations (IBM LSF required; Altair PBS/Accelerator and Slurm strongly preferred), including queue and fairshare policy, wrappers and pre-execs, and migration/dual-run strategies.\nStrong experience with EDA license management (FlexNet/FlexLM, RLM) and license-aware scheduling.\nHands-on leadership of enterprise SCM platforms, including Git/GitHub, Perforce, and DesignSync, with experience in ClearCase or other legacy system migrations.\nStrong foundation in Linux/Unix systems engineering at scale, configuration management, and infrastructure-as-code.\nProven experience with containers and orchestration (Apptainer/Singularity, Docker, Kubernetes) in HPC or engineering environments.\nDemonstrated leadership of analytics and data engineering initiatives, including data pipelines, analytics databases (e.g., ClickHouse, Snowflake), and BI tools (e.g., Tableau, Power BI).\nProven observability leadership (SLIs/SLOs, alert fidelity, runbooks, self-healing) with hands-on experience in Prometheus/Grafana and/or enterprise APM.\nStrong background in engineering IP protection, including classification, RBAC/DRM, secure enclaves, monitoring, and audits, working closely with Security and Legal.\nTrack record of owning large budgets, building business cases, and leading vendor and contract governance.\nExceptional executive communication skills, with the ability to translate complex technical topics into business outcomes.\nPreferred Qualifications\nExperience leading hybrid or cloud HPC for EDA workloads on AWS, Azure, or GCP, including FinOps practices.\nExperience with high-performance storage platforms (NetApp, Weka, GPFS/Storage Scale, Lustre, VAST).\nFamiliarity with CI/CD and DevOps tooling (Jenkins, GitHub Actions, GitLab CI, Artifactory).\nExperience applying AI/ML to scheduling, capacity forecasting, or operational analytics.\nExperience supporting export-controlled or regulated engineering programs.\nScripting and automation proficiency (Python, Bash, Perl, Tcl).\nBachelor's degree in Computer Science, Computer/Electrical Engineering, or a related field; Master's degree preferred.\nLeadership Competencies\nStrate...","description_format":"text","description_chars":15452,"description_truncated":true,"requirements":{"experience_years_min":15,"management_years_min":8,"team_size_min":null,"manages_managers":true,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Consumer Electronics","Smartphones","Headphones & Audio","Edge 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