ASIC/SOC Development Engineer, Sr Staff

Company:

Job Area:

General Summary:

Responsibilities of Job

• Drive complex design, integration, performance, and debug issues across Architecture, Design, Verification, Physical Design, Software, and Emulation teams.
• Define and improve ASIC design methodologies, engineering workflows, quality checks, and best practices to improve design quality, productivity, and execution predictability.
• Identify engineering bottlenecks and develop automation solutions using Python, scripting, EDA infrastructure, and modern software engineering practices.
• Drive adoption of AI-assisted and agentic engineering workflows for areas such as specification analysis, design and code generation, verification, design reviews, debugging, implementation, and engineering knowledge management.
• Develop reusable workflows that connect LLMs/AI agents with EDA tools, engineering data, internal knowledge, and existing automation, incorporating appropriate human review and validation.
• Evaluate emerging AI, coding-agent, and automation technologies and translate them into practical, measurable productivity improvements for ASIC development.
• Mentor engineers, establish technical best practices, and influence engineering direction across projects and teams.

Requirements of Job

• Bachelor's or above degree in Electrical/Electronics Engineering, Microelectronics, Computer Engineering, Computer Science, or a related field.
• 12+ years of ASIC/SoC development experience with strong technical expertise in one or more areas such as RTL/design, verification, synthesis/STA, physical design, performance, or silicon debug.
• Strong understanding of the complete ASIC development flow and interactions between architecture, design, verification, implementation, and silicon.
• Strong analytical and debugging skills with experience solving complex cross-functional ASIC/SoC problems.
• Demonstrated experience in ASIC methodology development, design automation, productivity improvement, or engineering workflow optimization.
• Strong programming/scripting skills, preferably Python, with familiarity with Perl, Tcl, shell, EDA APIs, or related automation technologies.
• Exposure to Generative AI, LLMs, coding agents, RAG, agentic workflows, or AI-enabled engineering automation is highly desirable.
• Ability to combine deep semiconductor domain knowledge with automation and AI techniques to develop scalable engineering solutions.
• Strong technical leadership, collaboration, mentoring, and communication skills, with the ability to influence across organizational boundaries.
• Ability to work effectively in a fast-paced environment and drive complex initiatives from concept and methodology definition through implementation, deployment, and adoption.

Minimum Qualifications:

OR

Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience.

OR

PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.

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