Intel Corporation

Full-stack Engineer

• Contribute to building infrastructure and tooling for agentic AI frameworks
• Build and maintain scalable deployment and orchestration systems for AI workloads
• Develop data pipelines, dashboards, and observability tooling
• Integrate and evaluate AI agent frameworks and model-serving systems
• Design and automate evaluation pipelines for performance, reliability, and regression detection
• Collaborate with global engineering teams to improve AI evaluation tooling

Software Engineer – Agentic AI System

Engineer

• Develop and execute comprehensive verification plans to validate CPU logic against architectural specifications
• Build scalable UVM-based testbenches and define robust functional coverage models
• Run system-level simulations to uncover design bugs and ensure functional integrity
• Debug and root-cause issues in the pre-silicon environment; implement corrective actions to resolve test failures
• Collaborate closely with CPU architect and RTL designers to verify complex architectural and microarchitectural features
• Document verification strategies and lead technical reviews with design and architecture teams
• Maintain and enhance existing verification infrastructure and methodologies
• Contribute to the definition and refinement of CPU architecture and microarchitecture features

CPU Verification Engineer

Mechanical Engineer

• Develop the logic design, register transfer level (RTL) coding, and simulation for an IP required to generate cell libraries, functional units, IP blocks, and subsystems for integration in full chip designs
• Participate in the definition of architecture and microarchitecture features of the block being designed
• Apply various strategies, tools, and methods to write RTL and optimize logic to qualify the design to meet power, performance, area, and timing goals as well as design integrity for physical implementation
• Review the verification plan and implementation to ensure design features are verified correctly and resolves and implements corrective measures for failing RTL tests to ensure correctness of features
• Support SoC customers to ensure high-quality integration and verification of the IP block
• Drive quality assurance compliance for smooth IPSoC handoff
• Architect scalable memory coherency protocols and interconnect topologies to achieve high performance and low latency for data center and AI SoCs
• Design and implement critical components of the memory fabric microarchitecture, including coherency controllers and interconnect blocks
• Develop RTL code for core components of the memory fabric, ensuring optimal performance, area, and power trade-offs
• Work closely with verification teams to create test plans and debug issues arising during pre-silicon validation
• Collaborate with cross-functional teams (physical design, software, and firmware) to ensure seamless integration of memory fabric systems
• Analyze system performance, conduct workload modeling, and optimize the architecture for target use cases
• Mentor junior engineers and contribute to technical reviews and design documentation
• Stay updated with emerging technologies and trends in memory subsystems, coherency protocols, and AI/ML hardware

Senior IP Logic Design Engineer

Designer

• Conduct functional logic verification of SoC designs to ensure they meet design requirements and specifications
• Develop scalable and reusable verification plans, test benches, and environments for blocks, subsystems, and the entire SoC to meet coverage requirements
• Execute verification plans using emulation and system simulation models to validate design functionality, analyze performance metrics, and uncover bugs
• Debug issues within the presilicon environment, identify root causes, and implement corrective measures effectively
• Collaborate with architects, RTL developers, and design teams to enhance verification of complex SoC features

SOC Design Verification Engineer

• Design and implement deployment and orchestration workflows for distributed AI systems
• Build data pipelines, observability tools, dashboards, and reporting systems
• Integrate and evaluate agent frameworks and LLM-based systems
• Develop tooling for model serving, benchmarking, and performance evaluation
• Collaborate across teams and with external framework engineers

Senior AI Software Engineer – Agentic AI System

Supply Chain

• Analyze supply chain planning activities to optimize schedules, forecasts, inventory strategies, and capacity requirements.
• Develop and execute supply chain plans that align with business objectives and meet customer demands.
• Conduct scenario planning for engineering, products, processes, and inventory strategies, providing data-driven insights to support decision-making.
• Resolve inventory-related issues, ensuring efficient flow and depth of inventory to support both short-term and long-term objectives.
• Apply knowledge of demand, revenue, and warranty opportunities to identify risks and contingency scenarios, influencing key business decisions.
• Prepare, issue, and control supply chain schedules and materials requirements.
• Collaborate with suppliers to ensure seamless material management and timely delivery.
• Evaluate capacity needs and capabilities to support Intel's strategic business goals.
• Interface with subcontractors to manage pricing, contracts, performance, and negotiations effectively.

Substrates Supply Chain Planning Analyst

DevOps Engineer

• Design, deploy, and maintain Linux-based infrastructure supporting architecture modeling, simulation, and projection workflows.
• Design and operate CI/CD pipelines for modeling frameworks, analysis tools, and supporting software components.
• Develop and maintain automation for build systems, toolchains, packaging, and dependency management.
• Enable scalable and reproducible execution of compute-intensive workloads.
• Manage artifact storage, versioning, and distribution for software builds and modeling outputs.
• Monitor and improve pipeline performance, reliability, and observability.
• Debug infrastructure issues across the software stack including build systems, storage, networking, and distributed compute environments.
• Work cross-functionally with architects and developers to improve developer productivity, tooling quality, and system scalability.
• Own and drive improvements to infrastructure components end-to-end.

Senior Infrastructure and DevOps Engineer

• define roadmaps, establish procedures, and lead initiatives for technology transfer into high-volume manufacturing
• optimize processes, improving yield, and driving quality initiatives
• Analyze structured and unstructured data, applying statistical methods and machine learning techniques, with expertise in tools such as SQL and Python
• Perform low-yield analysis and drive yield improvement activities
• Lead continuous improvement programs to sustain quality

Process Integration Development Engineer

• Conduct comprehensive baseline data analysis across multiple test sockets
• Develop sophisticated yield modeling and predictive analytics
• Lead yield optimization projects, excursion investigations, and containment activities
• Define clear problem statements through advanced data mining techniques
• Collaborate directly with foundry customers throughout the yield optimization process
• Engage cross-functional teams of experts to resolve complex yield challenges

Foundry Customer Yield Engineer

• Join the team defining and implementing Intel's product-grade neuromorphic AI software stack.
• Contribute across all levels of the stack from drivers to runtime to AI framework integration in collaboration with hardware, software and solution architects to deliver robust, efficient, scalable software solutions that enable customers to build high-performance physical AI applications powered by Intel's neuromorphic technology.
• Design, implement and optimize Intel's neuromorphic AI compiler and runtime environment.
• Contribute to tools and infrastructure that enable performance analysis, verification, debugging, and optimization across the software stack.
• Integrate software stack into external ecosystems, particularly robotics and edge AI frameworks.
• Collaborate with internal compiler, hardware, systems teams and external customers to improve software quality, performance, and usability across the stack.

Senior AI Software Engineer – Neuromorphic Computing

• Designs, integrates, tests, installs, configures, and/or supports Factory Automation AMHS controls software systems
• Generates metrics to measure overall/key areas of equipment performance (KPIs) and analysis of such metrics would be used to drive effective improvements across the operation
• Drives continuous improvement efforts to meet Automation systems health goals, as well as emerging capability needs
• Serves as expert for a designated set of automation AMHS controls systems
• Support Intel's 24x7 high availability automation environment and be part of an on-call rotation group outside of normal business hours.

Automation AMHS Controls Software Engineer

Solutions Engineer

• Own the end-to-end customer relationship as the primary interface between the customer and Intel, ensuring seamless communication, trust, and alignment across all phases of engagement.
• Work directly with customer to understand packaging challenges and requirements and provide technical consultation on packaging solutions and processes.
• Engage expert stakeholders across Intel Foundry to ensure customers have firsthand access to information.
• Collaborate with cross-functional teams including Technology Development, Product Engineering, Manufacturing and Operations, and Customer Engineering teams providing feedback to influence product and technology roadmaps.
• Lead and coordinate all internal Intel interactions related to the customer account to drive commitment to execution across schedule, quality, technical execution, qualification and volume ramp.
• Develop and maintain the Statement of Work (SOW) documenting customer requirements, Intel Foundry commitments, technical deliverables, and schedule milestones.
• Manage full customer engagement lifecycle from initial design award through development, ramp, high volume manufacturing (HVM), and end of life.
• Track and drive closure of customer commitment, action items and escalations.
• Monitor milestones, risks, dependencies and change requests.
• Drive resolution of issues affecting qualification and delivery.
• Provide clear status reports to both customers and leadership.
• Serve as the Voice of the Customer inside Intel Foundry, ensuring customer priorities, risks, and expectations are clearly communicated and advocated across all internal functions.

Account Technical Solutions Engineer, Foundry Services Advanced Packaging

Architect

• Drives end-to-end development for substrate design from concept through tapeout and implements physical layout and routing of the package design
• Performs substrate fit and routing studies to establish design, performance, and cost tradeoffs
• Works closely with silicon and hardware teams to optimize silicon package board performance and pinout
• Defines substrate design rules, conducts internal and external reviews, analyzes data, and resolves DRCs to optimize package design
• Completes documentation and collateral into the product lifecycle management system of record

Packaging Design Architect

• Shape the Future of Technology at Intel and Transform Tomorrow's Technology Today
• Join Intel as a Yield Development Engineer and play a pivotal role in advancing semiconductor process technology.
• Drive yield improvements across next-generation technology nodes.
• Working with cross-functional teams, tackle complex engineering challenges.
• Develop breakthrough methodologies that define the future of semiconductor manufacturing.
• Identify and resolve yield-limiting factors throughout technology node lifecycles.
• Develop innovative solutions for complex yield challenges.
• Design measurement protocols for rapid, accurate product integrity assessment.
• Conduct advanced statistical analysis and create data visualizations.
• Build comprehensive process development roadmaps aligned with yield milestones.
• Transform manufacturing and experimental data into actionable yield improvement strategies.
• Partner with design, test, and process development teams to debug yield issues.
• Lead new product introductions and design-technology co-optimization initiatives.
• Participate in factory task forces and design of experiments programs.
• Develop and optimize equipment and methodologies for advanced logic nodes.
• Ensure manufacturability through comprehensive process analysis.
• Support manufacturing ramp readiness through proactive yield issue resolution.

Software Engineer – Agentic AI System

CPU Verification Engineer

Senior IP Logic Design Engineer

SOC Design Verification Engineer

Senior AI Software Engineer – Agentic AI System

Substrates Supply Chain Planning Analyst

Senior Infrastructure and DevOps Engineer

Process Integration Development Engineer

Senior Infrastructure and DevOps Engineer

Foundry Customer Yield Engineer

Senior AI Software Engineer – Neuromorphic Computing

Automation AMHS Controls Software Engineer

Account Technical Solutions Engineer, Foundry Services Advanced Packaging

Packaging Design Architect

Senior Yield Development Engineer