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Qualcomm
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AI/ML CAD Principal Engineer

AI/ML CAD Principal Engineer

Qualcomm

8 - 13 years

22 - 27 Lacs

Bengaluru

Posted:1 month ago| Platform:

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Skills Required

design verification digital design rust python eda tools continuous integration soc cad vhdl artificial intelligence rtl design git fpga soc design rtl coding perl system verilog perforce ml synthesis asic eda hardware engineering aiml rtl verilog

Work Mode

Work from Office

Job Type

Full Time

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.

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AI/ML CAD Principal Engineer