Cirrus Logic

Solutions Engineer

• Serve as the primary enablement and solutioning partner for enterprise AI and knowledge platforms across the organization
• Guide users toward practical, high-value use cases, and set clear expectations around platform capabilities, limitations, and delivery timelines
• Lead onboarding and training sessions, including AI 101, role-based training, and agent support
• Develop scalable enablement materials, documentation, and best practices
• Support users with search, prompting, agents, and automations, including helping them choose the right approach for the need
• Intake, triage, and shape custom agent and automation requests based on business needs and platform fit
• Partner with PMO to prioritize discovery and solution design efforts
• Translate business needs into technical requirements and scoped solution briefs
• Collaborate with engineering teams to assign and support development resources
• Analyze usage patterns and user behavior to improve enablement strategies, content architecture, and solution design
• Develop a deep understanding of Cirrus Logic’s knowledge architecture across Confluence, Jira, GitHub, SharePoint, and related systems to improve search relevance, content quality, and discoverability
• Partner with system owners to improve content hygiene, metadata standards, permissions models, and governance practices that directly impact AI-driven search effectiveness

Solutions Engineer – Enterprise Knowledge, AI Systems

Engineer

• Architect and develop a Rapid Prototype Platform (similar to Cadence Protium) to enable early firmware development.
• Synthesize digital DUTs for emulation and prototyping environments.
• Design and implement SystemVerilog synthesizable transactors with C-DPI interface to enable C/C++ based tests.
• Validate and test the prototyping platform, ensuring functional correctness and robustness.
• Optimize platform performance, capacity, and scalability for firmware development and debug.
• Develop synthesizable analog and mixed-signal models suitable for emulation environments.
• Perform bare-metal firmware bring-up, including early boot, drivers, and system initialization.
• Debug firmware issues across emulation, prototyping, and early silicon environments.
• Collaborate closely with hardware, firmware, and software teams to benchmark, specify, develop, and deploy processors for mixed-signal chips.
• Define processor performance metrics and contribute to architectural trade-off studies.
• Support deployment and validation of processors in mixed-signal SoC products.

Emulation Engineer

• Support the formal verification team to follow, and improve, defined methodology practices.
• Develop test plans and verification methodologies to formally verify the microarchitecture and design.
• Perform failure analysis and resolution, coverage analysis, and population.
• Implement and improve functional and formal verification.

Solutions Engineer – Enterprise Knowledge, AI Systems

Emulation Engineer

Formal Verification Engineer, Co-Op