VLSI Design Optimization Engineer

Role Summary:

Are you passionate about applying constraint-solving and theorem proving to real-world problems? Do you want to create products that make a difference? If so, we have an exciting opportunity for you. In this role, you will interact with internal teams to understand their requirements. You will apply your knowledge to propose innovative solutions and productize prototypes into production systems using software development tools and methodologies. You will also collaborate with cross-functional teams to identify and solve VLSI design DTCO trade-offs, while being aware of general VLSI CAD design principles. This role will involve a focus on automatic VLSI design.

Key Responsibilities:

• Collaborate with various teams to understand their foundry process and VLSI design requirements, and work with cross-functional teams to identify and solve VLSI design DTCO trade-offs, while being aware of general VLSI CAD design principles.
• Implement tools using optimization tools like ILP, SAT, SMT, and various concepts from programming languages, theorem proving, and constraint solving.
• Develop and optimize VLSI design automation software to enhance design efficiency and performance.

Basic Qualifications:

• Master's degree in Electrical engineering, Computer Science, Applied Mathematics, or a related field with VLSI CAD experience.
• Experience programming in Python or related languages.
• Experience with Linux and LSF environments.

Preferred Qualifications:

• Ph.D. degree in Electrical Engineering, Computer Science, Mathematics, or a related technical field.
• A basic understanding of MOSFET device behavior, CMOS layout, circuit understanding, and VLSI design.
• Ability to work in a fast-paced and agile development environment.
• Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
• Applied Mathematics, including network flow theory and optimization.
• Exceptional relationship skills, including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead engineering efforts to meet aggressive timelines with optimal solutions.