Top Tech Jobs & Startup Jobs

Develops and qualifies advanced wafer and die sort interface technologies for semiconductor packaging and test. Responsibilities include designing experiments, developing electro-mechanical test hardware, creating sort design rules and interface design kits, collaborating with customers and DFT teams, managing probe card and PCB suppliers, and driving manufacturing readiness for new product introductions across Intel, Foundry, and OSAT programs.

Design, develop, test, and debug software tools, flows, and methodologies for design automation. Capture user requirements, write functional and test code, automate builds/deployments, and perform unit, integration, and end-to-end testing of EDA tools and related workflows.

Designs, develops, integrates, optimizes, and validates GPU software enabling AI capabilities across Intel products. Responsibilities span firmware, drivers, operating systems, middleware, frameworks, algorithms, and applications. The role optimizes AI workloads for performance, power, and scalability; develops reference software; debugs complex issues; collaborates across teams; and supports pre-silicon architecture decisions through workload simulation and analysis.

Lead GPU logic design from architecture and microarchitecture through RTL coding, simulation, verification, debugging, optimization, and SoC integration. The role focuses on achieving power, performance, area, and timing goals for graphics, compute, display, and media IP. As a principal-level technical expert, the engineer will shape technical strategy, drive innovation, support customers, and mentor emerging engineering leaders.

Provides high-level administrative support to a vice president, including complex calendar management, executive meetings, domestic and international travel coordination, expense reporting, confidential communications, and event support. Oversees Washington, D.C. office operations, vendors, supplies, facilities coordination, billing, reception, and workplace services. Supports purchasing, presentations, data preparation, office projects, and business continuity while serving as a central contact for internal and external stakeholders.

Lead optimization strategy and technical development for AI inference workloads on Intel GPUs. Architect high-performance software across compilers, runtimes, frameworks, GPU kernels, and hardware interfaces. Profile and benchmark complex workloads, identify bottlenecks, influence hardware-software co-design, evaluate emerging AI technologies, drive cross-functional initiatives, and mentor engineers. The role focuses on LLMs, generative AI, neural network execution, scalability, and performance optimization.

Develops advanced semiconductor wet etch and cleaning processes for next-generation transistor and interconnect technologies. Responsibilities include designing experiments, optimizing chemical formulations, co-developing wet-processing hardware, applying CFD and data science, generating intellectual property, and scaling laboratory processes to 300mm high-volume manufacturing. The role requires doctoral-level expertise in chemical, materials, electrochemical, or related engineering disciplines and hands-on experimental research experience.

Validate and debug graphics drivers, applications, and GPU features across Display, Media, 3D, Compute, and power components. Integrate new features into end-to-end validation flows, triage failures, collaborate with software and hardware teams, develop debug tools, automate complex CI/CD workflows, and enable graphics capabilities for content creation, gaming, and AI applications.

Leads long-range capacity planning, scenario modeling, supply-demand analysis, and strategic recommendations across Intel’s manufacturing network. Balances customer demand, factory capabilities, capital investments, technology transitions, financial objectives, and network optimization. Partners with manufacturing, finance, supply planning, and technology leaders to identify risks, develop mitigation strategies, and influence executive decisions. Uses AI, automation, and advanced analytics to improve planning and decision support.

Performs functional and presilicon verification of GPU graphics, media, and display logic. Develops reusable verification plans, SystemVerilog/UVM testbenches, simulation models, and coverage-driven tests. Debugs failures, analyzes power and timing, closes coverage, and resolves design issues. Collaborates with GPU architects, RTL developers, and physical design teams while maintaining verification infrastructure and documenting technical plans.