AI/ML CAD Principal Engineer

Job Description

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 8+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 7+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience. J Principal Responsibilities: Senior leader with 20+ CAD/Methodology development experience for team in Bengaluru. Drive tools, flows, methodologies globally as part of world-wide CAD organization. Develop and implement advanced CAD flows and methodologies for front end RTL Design to Verification Methodologies and framework development. Utilize scripting languages (python) to automate CAD/IT processes and increase efficiency. Collaborate with cross-functional teams to ensure successful integration of CAD flows. Stay up-to-date with cutting-edge technology (AI/ML), conduct thorough analysis of CAD tools and make improvements. Work closely with users to troubleshoot and resolve any issues that arise in tools, flows, environment, and infrastructure. Preferred Qualifications: Experience building full stack AI applications, with a focus on practical, production-grade solutions Strong proficiency in Rust for performance-critical systems and Python for AI development and scripting . Solid understanding of large language models (LLMs), their mechanics, and their real-world applications. Experience implementing tool use capabilities for LLMs and agent frameworks Knowledge of evaluation methodologies for fine-tuned language models Good grasp of Retrieval-Augmented Generation (RAG) and latest AI Agent frameworks Ability to stay current with the fast-evolving AI landscape]. Including advancements in LLMs and neural networks Strong understanding of CAD/EDA tools and methodologies. Hands on experience with regression systems, CI/CD, Revision Control System (git, perforce) workflow. Strong fundamentals in digital design, design verification methodologies and EDA tools. Knowledge of SOC architecture is a plus Preferred – Masters in VLSI or Computer Science Minimum – Bachelors in Electronics/Electrical Engineering/Computer Science Atleast 15 years’ experience in development of tools/flows/methodologies in either RTL, DV, synthesis, PnR or Signoff. Should have a proven record of driving new innovative tool/flow/methodology solutions. Should have managed a medium sized team. Level of Responsibility: Works independently with minimal supervision. Work with chip leads in support of design verification. Collaborate with chip leads to understand the design methodology. high-level requirements, determine other areas to support current or future designs that can benefit from automation and tooling. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group. Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.