Intel Corporation

Cloud Engineer

• Serve as the technical delivery leader for a large-scale federal cloud migration program, owning outcomes from architecture through deployment, stabilization, and operational readiness.
• Provide technical leadership in the design, review, and enhancement of cloud-based architectures, ensuring solutions are secure, scalable, compliant, and aligned with federal and organizational standards.
• Drive execution with urgency, maintaining momentum across teams and stakeholders while proactively addressing risks, dependencies, and delivery obstacles.
• Lead through ambiguity and adversity, including shifting requirements, constrained resources, legacy environments, and stakeholder resistance.
• Manage upward communication and escalation, ensuring leadership has timely visibility into risks, blockers, tradeoffs, and required decisions.
• Collaborate with end users, business stakeholders, and technical teams to define and translate requirements into actionable cloud solutions.
• Lead cross-functional teams in defining technical specifications, system designs, and data architectures for secure cloud-based systems.
• Partner with program management to plan and manage strategy, milestones, sequencing, and delivery plans aligned to program objectives.
• Estimate level of effort and resource needs, identifying capacity gaps early and recommending mitigation strategies.
• Anticipate, track, and resolve technical risks and issues throughout planning and execution.
• Own cloud migration process and schedule end to end, including cutover planning, contingency and rollback strategies, and post-deployment validation.
• Develop technical roadmaps and contribute to product and platform vision, balancing near-term delivery with long-term modernization goals.
• Produce clear, high-quality technical documentation, including architecture diagrams, design documents, roadmaps, and as-built artifacts.
• Communicate complex technical concepts clearly to technical and non-technical audiences, including engineers, program managers, executives, and federal customers.
• Present strategies, risks, and roadmaps to leadership to drive alignment and enable timely decisions.
• Continuously improve delivery practices, standards, and guidelines, acting as a force multiplier for the program.

Cloud Architect

Full-stack Engineer

• Design, develop, and test cloud-native applications and microservices
• Build scalable APIs and backend services
• Ensure security best practices across cloud environments
• Troubleshoot and resolve production issues
• Create and execute manual and automated test plans/suites

Software Development Engineer

Data Analyst

• As a DARC Data and Reporting Analyst, your responsibilities will include, but are not limited to:
• Supporting the business intelligence domain and learning from experienced team members.
• Assisting with data extraction, transformation, and loading processes.
• Contributing to technical and business documentation for data structures and processes.
• Supporting business analysts and requirements gathering activities.
• Building dashboards and performing testing and validation per established processes.
• Learning about business intelligence governance, privacy, and security frameworks.
• Supporting the maintenance of BI interfaces, data visualization, and reporting tools.

DARC Reporting and Data Analyst

Manager

• Apply structured change management frameworks to design and implement strategies that drive sustained behavioral and mindset shifts across the organization
• Conduct stakeholder assessments to understand perspectives, identify resistance, and develop tailored engagement strategies, messaging, and tactics
• Collaborate across organizations to design integrated change plans, including leadership engagement and communications
• Create and deliver coaching, training sessions, and eLearning programs tailored to diverse audiences, ensuring key stakeholders are equipped for change
• Support change management projects from research and implementation to assessment, ensuring structured processes and monitoring progress
• Conduct stakeholder meetings and interviews to capture feedback, track next steps, and identify development and training needs
• Develop and implement programs and initiatives to meet stakeholder needs, enhancing performance and integration
• Organize and maintain schedules, timelines, status reports, and other change artifacts to ensure successful project completion

Quality Transition Change Manager – TCM

Solutions Engineer

• Develop and define integrated front end process flows for new technology nodes.
• Coordinate across lithography, etch, deposition, diffusion, wet clean, CMP, and metrology teams.
• Analyze yield loss and parametric failures and perform root cause analysis using statistical tools (SPC, DOE, FMEA).
• Drive corrective actions to improve yield and cycle time.
• Ensure electrical parameters meet design targets and work closely with device engineers to tune process conditions.
• Optimize critical dimensions (CD), overlay, and film thickness.
• Implement control plans and process monitoring strategies using statistical tools such as Cpk / Ppk, control charts, capability analysis.
• Support ramp from RnD to high-volume manufacturing (HVM) and document process specifications and standard operating procedures (SOPs).

Process Integration Engineer – FE

Engineer

• designing, executing, and analyzing experiments necessary to meet engineering specifications for their process
• Set advanced device performance targets for Process Design Kit releases
• Interface with Design and Foundry partners to address circuit-level issues
• Assess Silicon-to-Simulation health and readiness for High Volume Manufacturing
• Define robust test structures and test programs to validate advanced design rules and reliably extract key device parameters
• Use Statistics, Data Mining, and other data analysis techniques to collect, explore, and extract insights from Electrical-test, yield, and fab data to define future development direction

Advanced Device Development Engineer

Application Engineer

• Own Windows silicon and platform architecture alignment
• Drive ecosystem enablement for next-generation Windows PCs
• Partner with Silicon Architecture teams to translate Microsoft architectural requirements
• Collaborate with Client Engineering teams
• Serve as the primary architecture bridge between Microsoft and internal engineering teams
• Coordinate forward-looking architecture and ecosystem workstreams
• Build bridges between Microsoft and Intel

Strategic Sales Application Engineer – Windows Platform

• Perform functional verification of graphics logic components, including 3D graphics, media, and display, ensuring designs meet specification requirements.
• Develop scalable and reusable IP verification plans and test benches to confirm graphics microarchitecture specifications.
• Define and execute verification plans, running system simulation models to identify bugs, analyze power and timing, and verify design functionality.
• Replicate, root cause, and debug issues in pre-silicon environments while implementing corrective measures to resolve failing tests.
• Collaborate with GPU architects, RTL developers, and physical design teams to enhance verification processes, meeting functional, performance, and power goals.
• Document test plans, driving technical reviews with design and architecture teams.
• Maintain and optimize existing functional verification infrastructure and methodologies.
• Participate in the definition and development of verification infrastructure and related tools for functional design verification.

GPU Validation Engineer

Designer

• Performs functional verification of mixed signal logic components
• Develops IP verification plans, test benches, and the verification environment
• Executes verification plans and defines and runs system simulation models
• Replicates, root causes, and debugs issues in the presilicon environment
• Finds and implements corrective measures to resolve failing tests
• Collaborates with digital and analog architects, RTL developers, and physical design teams
• Documents test plans and drives technical reviews of plans and proofs
• Maintains and improves existing functional verification infrastructure and methodology

Mixed Signal Design Verification Engineer

• Develop and define integrated process flows for interconnect modules.
• Coordinate across lithography, etch, deposition, diffusion, wet clean, CMP, dielectric, and metrology teams.
• Optimize RC (resistance-capacitance) performance.
• Establish process windows and integration schemes.
• Identify BE-driven yield loss mechanisms such as open and short defects, metal voids, low k ILD damage, etc.
• Perform root cause analysis using statistical tools (SPC, DOE, FMEA).
• Drive corrective actions to improve yield and cycle time.
• Implement control plans and process monitoring strategies.
• Use statistical tools such as: Cpk / Ppk, Control charts, Capability analysis.
• Ensure margins for electromigration, stress migration, TDDB, time dependent via degradation.
• Evaluate impact of process window shifts on reliability.
• Support ramp from RnD to high-volume manufacturing (HVM).
• Document process specifications and standard operating procedures (SOPs).

Process Integration Engineer, Intel

DevOps Engineer

• Design, deploy, and maintain scalable infrastructure systems supporting product development and validation environments
• Monitor system performance and proactively resolve issues to ensure maximum uptime and reliability
• Build and optimize end-to-end CI/CD pipelines encompassing source control, automated testing, security scanning, and deployment strategies
• Implement infrastructure-as-code practices and automation solutions to enhance delivery velocity
• Partner with development and customer groups to translate business requirements into robust technical solutions

Infrastructure and DevOps Engineer

Program Manager

• Collaborate with Tool Install Central Engineering, Strategic Operation, and Manufacturing Solution teams to identify and integrate new technologies for global factory projects
• Enhance productivity and achieve key metrics improvements (time savings, cost reduction)
• Achieve utilization rate of the newly integrated technologies by project teams
• Conduct post-integration reviews for all technology deployments
• Identify areas for process improvement and implement changes
• Work closely with the supply chain management, design teams and logistics to move construction scope to more efficient supplier-based or offsite fabrication facilities
• Make breakthroughs in our construction efficiency and capability through sourcing and developing contractor companies and making significant changes in integrated construction solutions and major changes in our cost of construction
• Lead and drive program teams to leverage Prefabrication, Preassembly, Modularization, and Offsite Fabrication (PPMOF/OSM) means and methods including Intel and ROW (rest of world) solutions

Construction Technology Integration Program Manager

Systems Engineer

• Define a runtime model for executing AI workloads as distributed computation graphs across heterogeneous resources
• Design abstractions for graph representation, dependencies, and execution semantics
• Enable dynamic scheduling and execution across CPUs, GPUs/specialized accelerators, and IPUs/FNICs.
• Architect systems where state (e.g., KV cache) is a first-class concern in scheduling and execution
• Develop mechanisms to analyze AI computation graphs and classify stages by: compute intensity, memory bandwidth requirements, communication cost, latency sensitivity
• Architect frameworks that treat specialized accelerators (e.g., dataflow engines) as first-class execution targets
• Design runtime strategies for Mixture-of-Experts (MoE) models, including: expert placement, routing locality, load balancing vs data movement trade-offs
• Define observability and telemetry models for distributed AI execution
• Build feedback loops that continuously optimize placement, scheduling, and resource utilization

Principal Engineer – Distributed AI Systems Architecture, Heterogeneous Compute

• Serve as the primary customer interface, building trust and ensuring seamless communication throughout all engagement phases
• Act as the Voice of the Customer within Intel Foundry, advocating for customer priorities and expectations across all internal functions
• Partner directly with customers to understand packaging challenges and requirements
• Provide expert technical consultation on packaging solutions and processes
• Connect customers with Intel Foundry's technical experts for specialized insights
• Work with Technology Development, Product Engineering, Manufacturing, Operations, and Customer Engineering teams
• Influence product and technology roadmaps through customer feedback and market insights
• Coordinate internal Intel resources to ensure customer success
• Develop and maintain comprehensive Statements of Work (SOW) documenting requirements, commitments, deliverables, and milestones
• Manage complete customer engagement lifecycle from design award through high-volume manufacturing and end-of-life
• Track commitments, action items, and escalations while monitoring risks and dependencies
• Drive resolution of qualification and delivery issues
• Provide clear, regular status reports to customers and leadership
• Facilitate effective communication between technical and business stakeholders

Senior Technical Solutions Engineer – Advanced Packaging

Machine Learning Engineer

• Design and maintain post‑training pipelines, from data ingestion through deployment
• Develop reinforcement learning environments, reward models, and evaluation signals
• Debug, optimize, and scale distributed training workloads
• Design and execute research experiments and ablation studies
• Develop benchmarks and evaluation metrics for model capability and alignment