Top Tech Jobs & Startup Jobs

Designs and develops GPU logic and RTL for graphics IP blocks. Defines architecture and microarchitecture features, optimizes power, performance, area, timing, and physical implementation, and conducts unit-level verification. Debugs RTL and simulation failures, performs GPU validation, supports SoC integration, analyzes floating-point logic, and documents designs. The role requires collaboration with global teams and regular onsite presence in California, with hybrid work eligibility.

Develops semiconductor product yield analysis solutions for advanced-node technology. Responsibilities include mathematically modeling yield problems, identifying root causes of systematic yield issues, creating analysis methods and algorithms, debugging process/product interactions with design teams, and presenting yield improvement strategies to leadership. Collaborates with program managers, process integration, device integration, and defect teams to improve production yield.

Drive customer engagement, business development, and sales-cycle execution for Intel Foundry semiconductor solutions serving U.S. Government and defense customers. Responsibilities include identifying opportunities, shaping technical solutions, supporting proposals and demonstrations, managing competitive positioning, pricing and negotiations, maintaining CRM forecasts, developing market collateral, and partnering with engineering, marketing, and customer stakeholders on roadmaps and growth strategies.

Drives supply chain process and quality improvements for semiconductor manufacturing. Responsibilities include supplier collaboration, manufacturing process development, root cause analysis, corrective actions, equipment qualification, risk mitigation, alternate sourcing, supplier performance metrics, quality standards, process validation, and quality excursion management. The role supports cost, quality, reliability, yield, and manufacturing readiness across Intel's technology and equipment lifecycles.

Design, test, and validate platform hardware and system-level technologies for data center applications. Responsibilities include developing pre-silicon testing methodologies, executing validation plans, analyzing system challenges, debugging hardware during bring-up and power-on, performing BOM cost analysis, documenting results, and collaborating with cross-functional engineering teams.

Analyzes supply chain health, forecasts business needs, evaluates constraints, and develops data-driven improvements for tools, processes, inventory, and operations. Collaborates with stakeholders and suppliers, manages payments and credits, supports audits and compliance, and provides expertise on complex supply chain issues.

Develop and optimize AI algorithms for defect detection and classification using computer vision, machine learning, and deep learning. Responsibilities include researching techniques, preparing data, implementing and tuning models, optimizing production performance and accuracy, and collaborating with product teams. The role requires Python and C++ expertise, PyTorch, TensorFlow, OpenCV, and specialization in AI topics such as image classification, object detection, or image processing.

Design and lead scalable software architectures that optimize HPC, cloud, AI, and data center workloads. Partner with customers, ecosystem vendors, open-source communities, and Intel engineering teams to evaluate technologies, improve performance, establish validation practices, influence technical roadmaps, and deliver Intel Architecture-based solutions.

Leads the EMEA go-to-market strategy for Robotics and Physical AI, focusing on net-new account acquisition, market creation, strategic partnerships, and revenue growth. Builds ecosystems across hardware vendors, ODMs, OEMs, ISVs, and integrators; manages complex technical and commercial engagements; and translates robotics architectures and AI capabilities into business value. Represents the company at executive briefings, partner forums, and industry events across EMEA.

Drive the EMEA go-to-market strategy for robotics and physical AI by opening net-new accounts, building partner ecosystems, leading complex technical and commercial engagements, and delivering pipeline and revenue. The role combines technical advisory, business development, strategic alliances, marketing initiatives, executive presentations, and multi-stakeholder program leadership across hardware, software, OEM, ODM, ISV, and systems integration partners.