Product Engineer - Machine Learning Job in Synopsys

Product Engineer - Machine Learning

Synopsys 4+ weeks ago

Hyderabad, Telangana
Not Disclosed
Full-time

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Job Summary

Our Silicon Design & Verification business is all about building high-performance silicon chips faster. We are the world s leading provider of solutions for designing and verifying advanced silicon chips. And we design the next-generation processes and models needed to manufacture those chips. We enable our customers to optimize chips for power, cost, and performance eliminating months off their project schedules.

We re looking for Applications Engineer to join the team.
Does this sound like a good role for you?

In this role you would be a Machine Learning Product Engineer.

Key Qualifications:

Strong motivation to learn and explore new technologies and demonstrates good analysis and problem-solving skills
Working at a very detailed and collaborative level with R&D engineers, other product engineers, field engineers, customers and executives
Communicating complex ideas to users: internal and external, written and verbal, formal and informal
Researching and innovating solutions in known and unknown areas
Driving for improved customer success through novel techniques through all phases of the IC design workflow

Preferred Experience:

Deep knowledge in developing and maintaining EDA design tool and chip design flows (logic and physical implementation, signoff and/or simulation tools)
Knowledge of Machine Learning algorithms and data structures
Attentive to stringent performance and quality requirements for production toolchains
Extensive experience EDA tool produdt and/or field engineering
Strong communication skills, verbal and written; ability to produce design documents detailing product requirements
BS/MS/Phd in EE, CS, CE or related disciplineand 10+ years of experience.

Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.

Experience Required :

Fresher

Vacancy :

2 - 4 Hires