Intel Corporation

Mechanical Engineer

• Develop RTL code and implement optimized logic designs for GPU IPs
• Align designs with architecture and microarchitecture specifications
• Perform power, performance, area, and timing optimization during physical implementation
• Define architecture and microarchitecture features for GPU blocks
• Execute unit-level verification, debug failing RTL tests, and resolve design issues across verification hierarchies
• Use formal equivalence verification (FEV) techniques to ensure design accuracy across development stages
• Collaborate with SoC customers to integrate GPU blocks into full-chip designs
• Drive microarchitecture-level enhancements
• Provide technical documentation supporting design and development activities

GPU Logic Design Engineer

Designer

• Perform functional verification of graphics logic components, including 3D graphics, media, and display
• Define and develop scalable, reusable IP verification plans, test benches, and verification-environment architecture
• Execute verification plans and run system simulation models to verify designs, analyze power and timing, and uncover bugs
• Replicate, root-cause, and debug issues in the pre-silicon environment
• Find and implement corrective measures to resolve failing tests
• Collaborate with GPU architects, RTL developers, and physical design teams
• Document test plans and drive technical reviews with design and architecture teams
• Maintain and improve functional verification infrastructure and methodology
• Participate in defining verification infrastructure and related TFMs for functional design verification

GPU Design Verification Engineer

Artificial Intelligence

• Develop Cache subsystem designs for Intel's AI SoCs
• Drive microarchitecture, RTL coding, subsystem integration, and simulation processes
• Evaluate architectural trade-offs against performance, power, and system constraints
• Define and document microarchitecture specifications for complex SoC IP blocks
• Implement RTL in Verilog/SystemVerilog and deliver synthesis- and timing-clean designs
• Collaborate with verification teams on validation and coverage
• Develop and maintain timing constraints for IP blocks
• Support physical design teams with synthesis, timing closure, and formal equivalence checks
• Lead silicon bring-up, post-silicon validation, debugging, and performance analysis
• Mentor junior engineers and advance design methodology and quality assurance practices

AI GPU Cache Designer

• Develop and enhance AI-assisted CAD/EDA automation, tools, and workflows supporting RTL design and verification
• Troubleshoot issues across RTL, EDA frontend tools, automation infrastructure, and design environments
• Build scripts and software solutions for RTL build, simulation, verification, emulation, regression, and static sign-off workflows
• Apply AI/ML and AI-assisted development technologies to improve engineering automation, debugging, and productivity
• Develop and enhance CI/CD and regression automation for hardware development workflows
• Analyze workflow and infrastructure data to improve performance, reliability, and engineering efficiency
• Partner with engineering and cloud infrastructure teams to improve compute utilization and scalability
• Collaborate with RTL design, verification, CAD, infrastructure teams, and EDA vendors to resolve technical issues and improve methodologies

AI/ML CAD Engineer, RTL & Design Verification

• Build and maintain scalable, reusable UVM-based testbenches and test cases for complex mixed-signal CMOS designs at block, subsystem, and SoC levels
• Own and drive comprehensive verification plans and coverage closure across multiple projects
• Develop RTL designs and integrate logic components into SoC architectures
• Collaborate with IP providers to validate IPs at the system level
• Develop and implement power verification methodologies for complex mixed-signal IPs
• Create and apply SystemVerilog Assertions to improve verification quality and coverage closure
• Identify, debug, and resolve pre-silicon failures and drive issues to closure
• Partner with architecture, physical design, and post-silicon teams
• Incorporate post-silicon learnings into enhanced pre-silicon verification methodologies
• Maintain detailed test plans and lead technical reviews with design and architecture teams

IP Design Verification Engineer

Product Manager

• Serve as the senior product owner for Intel's IPU and Ethernet controller and adapter portfolio
• Lead product vision, strategy, definition, positioning, and lifecycle management across Data Center, Enterprise, Edge, and Embedded markets
• Define and drive long-range product and portfolio strategy based on customer requirements, market dynamics, competitive intelligence, technology trends, and Intel priorities
• Translate insights into product requirements, multi-year roadmaps, investment priorities, and new product opportunities
• Own new product definition from concept through execution with architecture, engineering, design, manufacturing, test, quality, operations, sales, and marketing teams
• Evaluate emerging technologies and customer use cases, technical and business tradeoffs, and future silicon, platform, and system capabilities
• Lead and develop a high-performing product management team, including priorities, accountability, talent development, succession planning, and resource deployment
• Interface with strategic customers and ecosystem partners to translate networking requirements into product strategy
• Define product positioning, value propositions, competitive differentiation, go-to-market strategies, customer adoption, and worldwide launches
• Own the complete product lifecycle from product introduction and ramp through sustaining, optimization, technology transitions, upgrades, and end-of-life decisions
• Lead complex cross-functional initiatives across multiple organizations and geographies
• Communicate product vision, strategy, roadmaps, investment rationale, and business implications to executives, customers, and stakeholders
• Anticipate market transitions, identify opportunities, and influence Intel's long-range networking strategy
• Report directly to the General Manager of the Business Unit

Networking Hardware Product Manager

Full-stack Engineer

• Support delivery across AWS programs, including staffing, schedules, risk, quality, and customer satisfaction
• Define the AWS practice operating model, including reference architectures, delivery playbooks, and reusable Terraform-based accelerators
• Report practice health, staffing needs, and risks
• Act as the firm's senior technical authority on AWS across compute, networking, storage, data, security, identity, observability, serverless, and container platforms
• Set and enforce Terraform-first Infrastructure as Code standards with reusable module libraries, policy-as-code guardrails, and automated drift detection
• Own CI/CD and GitOps models, including pipeline architecture, artifact signing, security gates, and automated STIG/CIS hardening
• Drive compliance as code by mapping NIST SP 800-53 controls to automated evidence and integrating Security Hub, GuardDuty, Inspector, and CloudTrail into continuous monitoring
• Design and review AWS GovCloud and commercial-region architectures under FISMA, FedRAMP, and Zero Trust requirements
• Eliminate operational toil through self-healing infrastructure, automated patching, runbook automation, and pipeline-based cost optimization
• Stay hands-on with Terraform plans and technical troubleshooting
• Lead adoption of AI across delivery, including agentic operations triage, IaC generation and review, control-implementation drafting, and documentation
• Architect and deliver regulated AWS AI workloads using Bedrock, SageMaker, and related services
• Establish standards for responsible and secure use of AI coding assistants and agents
• Mentor and retain AWS architects, cloud engineers, and DevSecOps engineers
• Build certification and skills-development programs and advise on career paths and technical review practices
• Own the technical relationship with the AWS Partner Network and collaborate with AWS partner managers, solutions architects, and public sector account teams
• Drive requirements for AWS competencies, service delivery designations, Well-Architected Partner status, case studies, validations, and certification counts
• Manage partner program mechanics, including MAP, POC funding, credits, and co-sell registrations
• Serve as solution architect on AWS pursuits, covering architecture, staffing, transition approach, and basis of estimate
• Write and review technical approach volumes, respond to RFIs, and present in orals
• Partner with capture and BD leads to shape requirements, engage customers early, and position AWS-native approaches

Technical Lead, AWS

Engineer

• Develop and execute electrical validation plans for CPU I/O interfaces and related platform technologies
• Create validation methodologies, test content, and automation solutions to evaluate electrical performance and functionality
• Perform silicon and platform debugging to identify root causes and drive corrective actions
• Use lab equipment and measurement tools to characterize high-speed electrical interfaces and system behavior
• Develop and maintain validation scripts and automation solutions using Python
• Collaborate with hardware, BIOS, firmware, design, manufacturing, and validation teams
• Analyze test results and provide data-driven recommendations to improve product quality and reliability
• Assess electrical health across silicon, platform, and system-level implementations
• Support validation throughout design, pre-silicon activities, bring-up, characterization, qualification, and production readiness
• Document validation methodologies, test procedures, findings, and recommendations

Silicon/Electrical Validation Engineer

Business Development Rep

• Partner with customers and Business Development to design tailored Intel Foundry solutions
• Support the full sales cycle from engagement through delivery
• Provide input on proposals, demonstrations, and technology discussions
• Collaborate with engineering teams to focus solutions on customer needs
• Drive competitive positioning, pricing, and contract negotiations
• Contribute to technical roadmaps and risk mitigation plans
• Build knowledge of Intel Foundry Services, roadmaps, and IP offerings
• Stay current on industry trends, regulatory requirements, and USG/DIB market dynamics
• Establish trusted advisor relationships with customer stakeholders
• Identify, qualify, and advance new business opportunities
• Manage technical sales activities through contract negotiation and close
• Maintain accurate pipeline tracking and forecasting in CRM systems
• Develop business collateral for U.S. Government and defense markets
• Represent Intel at industry events and drive initiatives to expand the market

Senior Business Development Manager

Operations

• Lead efforts to ensure seamless product delivery to Intel's customers through agile planning and strategic collaboration
• Analyze forecasts and optimize delivery schedules
• Collaborate across teams to fulfill customer orders reliably and efficiently
• Collaborate with customers to understand demand signals and forecast accuracy, translating these into actionable delivery plans
• Develop and execute supply chain strategies to optimize cycle times, reduce risks, and ensure on-time delivery
• Provide regular, data-driven insights to senior leadership on supply chain performance, inventory health, and delivery risks
• Partner with internal business units, sales, marketing, and manufacturing to align on shared goals and respond rapidly to market changes
• Lead, inspire, and coach a high-performing global planning team

Director of Global Customer Planning and Operations

Account Manager

• Lead technical engagements with Microsoft Azure to co-engineer solutions using Intel Xeon processors and accelerators
• Drive account management through cross-functional, cross-company teams, from stakeholder influence and joint value propositions through proofs of concept and full-scale deployments
• Align first-party and third-party workload opportunities with Intel technology, Azure's roadmap, and customer needs
• Optimize AI, analytics, database, and other key workloads for Intel platforms to demonstrate performance and TCO advantages
• Troubleshoot technical issues involving Azure's use of Intel hardware and coordinate with internal engineering teams
• Build trusted relationships with Microsoft stakeholders as a technical advisor and advocate for Intel
• Influence Azure's roadmap by aligning Intel's product strategy with Microsoft's infrastructure and service plans
• Track competitive trends involving AMD, NVIDIA, and ARM and position Intel's value proposition
• Collaborate with Microsoft engineering, sales, and marketing teams and internal Intel stakeholders
• Drive Intel business on Azure through customer engagement, strategic partnerships, and workload optimization

Azure Sales Account Manager

• Develop methods, processes, and systems to consolidate and analyze diverse big data sources for defect mode understanding and yield modeling
• Perform statistical analysis, create visualizations, and construct process development roadmaps
• Extract insights from structured and unstructured data using advanced statistics, machine learning, and coding techniques
• Organize and interpret fab process, defect, and electrical data; identify anomalies and drive process changes
• Develop multivariate algorithms and tools to identify root-cause yield limiters and recommend process changes
• Collaborate with design teams to resolve yield issues and ensure manufacturability
• Execute new product introductions and enable design-technology co-optimization
• Participate in design of experiments with factory task forces
• Develop measurement recipes for rapid product-integrity feedback
• Create and harden systems for leading-edge logic nodes with equipment vendors and internal collaborators
• Develop AI/ML applications and computational tools connecting design and manufacturing
• Document technical procedures, train colleagues, and debug equipment, software, and procedural failures in production environments

Product Yield Engineer

• Conduct quantitative and qualitative analyses to support project and program objectives
• Assess resource utilization, track project progress, and monitor objectives and key results
• Identify performance gaps, manage risks, and ensure compliance with organizational processes and guidelines
• Develop and maintain project/program management infrastructure, including issue tracking, reporting, dashboards, and project plans
• Create advanced visualizations and reports to communicate data-driven insights
• Collaborate with project/program managers to implement objectives and support project activities
• Recommend improvements to project management processes and monitor emerging business trends
• Lead the global strategy and execution of Sales Operations transformation to a modern managed services model
• Design and operationalize the future-state operating model, governance, and performance framework
• Partner with product, technology, and AI teams to shape the Agentic AI vision and embed AI-driven capabilities
• Define and sequence the multi-year transformation roadmap, including funding, prioritization, and approvals
• Drive transition planning and execution while ensuring business continuity
• Lead cutovers, readiness checkpoints, and deployment cycles during quarter-critical and high-risk periods
• Oversee stabilization phases, issue resolution, performance adherence, and transition to steady-state operations
• Establish repeatable frameworks, playbooks, and governance models across SMG
• Own go-live readiness, deployment execution, and continuity during quarter-critical cycles
• Ensure operational handoffs, early-life support, and sustained post-transition performance
• Integrate AI automation and predictive tools into workflows
• Modernize processes across people, technology, and vendor ecosystems
• Partner with Finance, HR, IT, Legal, BMG, CPG, and regional teams
• Influence senior leaders through data-driven insights and concise communication
• Represent Sales Operations Transformation in senior-level forums and executive escalations

Sales Operations Global Process Owner

• Lead pre-silicon functional verification of complex CPU and SoC logic
• Develop and execute verification plans, testbenches, and SystemVerilog/UVM environments
• Ensure comprehensive functional and coverage closure
• Define, run, and analyze system-level simulations for functional, performance, power, and corner-case issues
• Debug and root-cause complex RTL, microarchitecture, and integration issues
• Drive issues to resolution with design teams
• Collaborate with CPU architects, RTL designers, power/performance teams, and physical design engineers
• Provide early verification feedback and identify design risks influencing architecture and microarchitecture
• Maintain, enhance, and scale verification infrastructure, methodologies, and automation
• Document verification strategies, results, and findings
• Lead technical discussions and design reviews

Senior CPU Design Verification Engineer

Systems Engineer

• Architect scalable and efficient system software frameworks focused on performance optimization
• Collaborate with cross-functional teams to integrate software solutions into Intel's manufacturing processes
• Evaluate emerging technologies and apply them to enhance software architectures
• Analyze bottlenecks and implement improvements for secure, reliable, high-performing systems
• Provide technical mentorship and guidance to development teams
• Document and present architectural decisions, prototypes, and results to stakeholders
• Contribute to Intel Foundry Services' semiconductor manufacturing innovation and operational excellence