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As a Solution Engineer in the Microsoft Innovation Hub, you will merge business and technical requirements to craft comprehensive solutions, working seamlessly with various stakeholders. You will conduct discovery sessions to understand customer needs and provide strategic recommendations and best practices tailored to their specific needs. Implementing robust AI transformation solutions and optimizing the integration of various technologies and services will be key aspects of your role. Additionally, you will leverage consultancy skills to foster collaboration among technical resources and stakeholders, ensuring alignment and effective teamwork. This role is Microsoft onsite only.



Responsibilities
Delivering customer engagements: Prepare and deliver technical engagements including strategy sessions, envisioning workshops, architecture design sessions and rapid prototyping to demonstrate key capabilities, validate against identified risks and finalize technology choices.

AI Transformation Leadership: Be the trusted voice within the business and for customers on the latest AI platform and technology trends, guiding their transformation journeys. By prioritizing AI use cases through design thinking workshops, you will lead these journeys effectively. You will be a valued contributor to Microsofts strategy in your area, ensuring the Hub is proactively aligned with the right customers to drive real impact.

Strategic Vision and Planning: Own and execute a clear strategic vision for AI transformation initiatives on a set of targeted accounts, aligning with organizational goals and customer needs by collaborating and orchestrating cross-functional teams.

Solution Design and Architecture: Develop comprehensive solution architectures based on patterns and practices that are tied to customer requirements and ensure that solutions are scalable, secure and optimized for performance. By utilizing consultation skills, you will uncover and prioritize opportunities, ensuing solutions are addressing real customer needs.

Cross Platform Collaboration: Adopt a holistic approach to integrate capabilities across the entire cloud platform, identifying synergies and optimizing cross-platform integration. You will work with your peers and stakeholders to make the Innovation Hub the home of Cross Solution AI Transformation.

Technical Depth: Maintain and grow expertise in creating business value on top of the business applications including sales, services and marketing and Microsoft 365 platform to support AI transformation initiatives. Stay updated with the market trends and collaborate with the technical communities.

Technical Sales and Sales Leadership: Act as a strategic change agent within the business to shape Microsoft's programs and engineering offerings. Lead the creation of scalable, field-relevant assets through internal communities. Champion Hub engagement success by connecting technical capabilities to sales opportunities and serving as a trusted voice with sales leaders and account teams.

As a CPU Design Verification Engineer, you will work as part of a Research and Development team building verification components, constrained-random testing, system testing, and verification closure. As part of our server chip design team, you will verify complex digital designs. You will collaborate with design and verification engineers in active projects and perform verification. You will be responsible for the full lifecycle of verification which can range from verification planning, test execution, or collecting and closing coverage.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities
Plan the verification of digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
Create and enhance constrained-random verification environments using SystemVerilog or formally verify designs with SystemVerilog Assertions (SVA) and industry leading formal tools.
Identify and write all types of coverage measures for stimulus and corner-cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Apply close coverage measures to identify verification holes and to show progress towards tape-out.