You are a recognized formal verification expert who enjoys solving complex technical challenges and driving innovation. You bring strong leadership and collaboration skills, can influence technical direction across teams, and are passionate about building scalable verification solutions that improve product quality and engineering efficiency. KEY RESPONSIBLITIES: Define and drive formal verification strategy, methodology, and technical roadmap for graphics IP.
Lead formal verification efforts for complex GPU and processor designs while improving coverage, quality, and scalability. Develop and deploy advanced verification techniques to solve challenging convergence and verification problems. Drive development of reusable infrastructure, automation, and workflows that improve verification productivity. Partner with architecture, design, and verification teams to influence design quality and verification planning.
Research and evaluate emerging formal verification applications in areas such as security, safety, low power, and architectural verification. PREFERRED EXPERIENCE: In-depth knowledge of formal verification methodologies, algorithms, proof engines, and practical applications across complex digital designs. Proven expertise in SystemVerilog Assertions (SVA), property development, and abstract model creation. Expert-level experience with formal verification tools such as JasperGold, VC Formal, Murphi, theorem provers, or similar EDA solutions.
Demonstrated success delivering high-quality verification for large-scale processor architectures, including GPU, CPU, AI accelerator, or other high-performance compute designs; strong understanding of computer architecture and graphics pipelines preferred. Proven experience developing formal verification infrastructure supporting applications such as functional property verification, datapath verification, equivalence checking, security verification, or related use cases.
Experience solving challenging formal convergence problems and scaling formal verification through advanced techniques such as induction, abstraction, reduction, decomposition, and related approaches. ACADEMIC CREDENTIALS: Undergrad degree required. Master or PhD degree in Computer Science/ Computer Engineering/ Electrical Engineering preferred. LOCATIONS: Austin, TX, Orlando, FL and San Diego, CA This role is not eligible for visa sponsorship.