Amazon Web Services provides a highly reliable scalable lowcost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. AWS has the broadest and deepest set of machine learning and AI services for our customers businesses. We are seeking experienced Physical Design Engineer to build the next generation of our cloud server platforms. Our success depends on our worldclass infrastructure; were handling massive scale and rapid integration of emergent technologies.
As a member of the CloudScale Machine Learning Acceleration team youll be responsible for the design and optimization of Hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost.
Youll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a worldclass customer experience. This is a fastpaced intellectually challenging position and youll work with thoughtleaders in multiple technology areas. Youll have relentlessly high standards for yourself and everyone you work with and youll be constantly looking for ways to improve our products performance quality and cost. Were changing an industry and we want individuals who are ready for this challenge and want to reach beyond what is possible today.
Key job responsibilities
You will create and support innovative physical design methodology and CAD flows.
Develop cloud infrastructure to support physical design work.
Drive improvement in RTL2GDS flows/methodology for PPA and TAT improvement.
Create Dashboard/central reports for project tracking and visualizing QoR/stats
Interface directly with RTL Physical Design Package Design DFT and other teams to improve methodologies and efficiencies and drive efforts to resolution.
Work with EDA tool vendors to evaluate new tools solve bugs improve usability etc.
Bachelors or Masters degree in EE CE or CS
Minimum of 3 years in developing design methodology or CAD flows in synthesis PNR or signoff areas for advanced technology nodes.
Experience in writing production scripts for implementation and signof. tools in TCL Perl and/or Python
Solid understanding of ASIC physical design physical design flows and methodologies including synthesis place and route STA formal verification.
Proven track record of delivering metric driven PPA flow development and support.
Demonstrated level of expertise in PD tools such as Innovus ICC2 FusionCompiler STA and SignOff.
Experience in evaluating multiple vendor solutions and driving tool decisions.
Experience in highperformance lowpower physical design and implementation techniques with industry standard synthesis PnR or Signoff tools.
Excellent programming skills in languages like Python Perl TCL Shell etc. Good understanding of algorithms with emphasis on optimizing algorithms.
Experience with machine learning
Excellent verbal and written communications
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129800/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.