At Synopsys, we're seeking a Staff Engineer (Machine Learning) to join our Machine Learning Center of Excellence (ML CoE) within our Silicon Design & Verification business. As a key member of this highly innovative team, you'll be responsible for designing and developing machine learning-based optimization applications for advanced chip design, spanning architectural through physical design levels.

Key Responsibilities:

• Designing and developing machine learning-based optimization applications for advanced chip design, spanning architectural through physical design levels.
• Integrating ML-driven solutions into a variety of EDA tools, building on the success of DSO.ai and expanding beyond physical implementation.
• Automating chip design flows with scripting languages (Perl, Python, Tcl, shell scripts) to increase efficiency and reproducibility.
• Collaborating with cross-functional teams to identify design bottlenecks and propose innovative solutions for enhancing power, performance, and area (PPA).
• Conducting research and prototyping novel chip design methodologies, demonstrating new concepts, and driving them to productization.
• Staying current with industry trends in silicon design, machine learning, and EDA, and championing their adoption within Synopsys' product lines.

Impact:

• Accelerate the development of next-generation silicon chips by enabling smarter, faster design optimization through AI and machine learning.
• Reduce time-to-market for customers by eliminating months off project schedules, directly impacting their competitiveness.
• Enhance the performance, power efficiency, and cost-effectiveness of chips designed with Synopsys' tools, driving industry-leading outcomes.
• Shape the evolution of EDA software by pioneering ML-driven methodologies adopted by semiconductor leaders worldwide.
• Enable customers to autonomously explore vast design spaces, achieving optimal results with reduced manual intervention.
• Strengthen Synopsys' position as the global leader in silicon design and verification by delivering innovative, high-impact solutions.

Requirements:

• Bachelor's, Master's, or PhD in Electrical Engineering, Computer Science, Computer Engineering, or a related discipline.
• 5+ years of experience in chip design, EDA, or related fields.
• Expertise in at least one domain of chip design (architectural, micro-architectural, RTL, circuit, or physical design).
• Strong programming and automation skills using Perl, Python, Tcl, or shell scripting.
• Solid understanding of Unix/Linux environments and design flow automation.
• Knowledge of industry-standard RTL design, synthesis, place and route, verification, ATPG, custom-circuit design, and signoff flows.
• Familiarity with low power design techniques, computer architecture, and machine learning principles.

Who We're Looking For:

• A creative problem solver who approaches challenges with curiosity and resilience.
• An effective communicator who collaborates well with multidisciplinary teams.
• Detail-oriented with a passion for quality and continuous improvement.
• Self-driven, adaptable, and comfortable with ambiguity in fast-paced environments.
• Committed to learning, growth, and sharing knowledge with others.

The Team You'll Be A Part Of:

You'll join the Machine Learning Center of Excellence (ML CoE) within Synopsys' Silicon Design & Verification business. This highly innovative team is at the forefront of integrating AI and ML into chip design, collaborating with experts across architecture, implementation, and verification. Together, you'll drive the development of ML-based design optimization solutions and set new standards for the semiconductor industry.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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