About this role
## Company:
Qualcomm India Private Limited
## Job Area:
Engineering Group, Engineering Group > Hardware Engineering
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:
• Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience.
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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