Demo

Sr. Physical Design Methodology Engineer, Annapurna Labs

Annapurna Labs
Cupertino, CA Full Time
POSTED ON 3/16/2025
AVAILABLE BEFORE 4/11/2025

AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio.Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries.Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, Trainium Systems (our custom designed machine learning inference and training datacenter servers). Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Physical Design Methodology Engineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.Key job responsibilitiesDefine, develop and deploy innovative physical design methodologies (RTL2GDS) and CAD flows for ML Accelerator chips in advanced nodesDrive improvement in RTL2GDS flows / methodology for PPA and TAT improvementsCreate Dashboard and Central reports for project tracking and visualizing QoR / statsFine tune cloud infrastructure to improve turnaround times for physical design work.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 methods, solve bugs, improve usability, etc.Drive setting up RTL2GDS flows for new nodes, run regressions, quality assurance checksAbout the teamAbout the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work / Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Basic qualifications- BS 10yrs or MS 7yrs in EE / CS- 5 years of experience in developing physical design methodology or CAD flows in synthesis, PNR, and sign-off areas for advanced technology nodes. - Proficient in programming / scripting languages (Perl, Python, C )- Solid understanding of ASIC physical design, and methodologies including synthesis, place and route, STA, IR, formal and physical verification. - Demonstrated level of expertise in PD tools such as Innovus, ICC2, Fusion Compiler, STA, and Sign-Off. - Proven track record of delivering metric driven PPA flow development and support.Preferred qualification - Expertise in high-performance, low-power 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. - Knowledge of cutting-edge technology nodes across foundries- Experience in evaluating multiple vendor solutions and driving tool decisions.- Knowledge of creating dashboards and status reports for various EDA tool outputs, QOR metrics and analyzing trends (synthesis, pnr, signoff etc)- Experience with machine learning- Excellent verbal and written communications- Ability to work in dynamic work environment with changing needs and requirements- Ability to provide mentorship, guidance to junior engineers and be a effective team player- Meets / exceeds Amazon’s leadership principles requirements for this role- Meets / exceeds Amazon’s functional / technical depth and complexity for this roleAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https : / / www.amazon.jobs / en / disability / us.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 Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300 / year in our lowest geographic market up to $247,600 / year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 https : / / www.aboutamazon.com / workplace / employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Salary : $143,300 - $247,600

If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution. Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right. Surveys & Data Sets

What is the career path for a Sr. Physical Design Methodology Engineer, Annapurna Labs?

Sign up to receive alerts about other jobs on the Sr. Physical Design Methodology Engineer, Annapurna Labs career path by checking the boxes next to the positions that interest you.
Income Estimation: 
$128,536 - $205,780
Income Estimation: 
$201,260 - $351,109
Income Estimation: 
$134,206 - $155,125
Income Estimation: 
$171,024 - $193,943
Income Estimation: 
$105,809 - $128,724
Income Estimation: 
$136,611 - $163,397
Income Estimation: 
$135,163 - $163,519
Income Estimation: 
$131,953 - $159,624
Income Estimation: 
$150,859 - $181,127
Income Estimation: 
$131,953 - $159,624
Income Estimation: 
$169,825 - $204,021
Income Estimation: 
$166,631 - $195,636
Income Estimation: 
$162,237 - $199,353
Income Estimation: 
$181,083 - $218,117
Income Estimation: 
$171,024 - $193,943
Income Estimation: 
$206,482 - $238,005
View Core, Job Family, and Industry Job Skills and Competency Data for more than 15,000 Job Titles Skills Library

Job openings at Annapurna Labs

Annapurna Labs
Hired Organization Address Seattle, WA Full Time
Job Details AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning a...
Annapurna Labs
Hired Organization Address Cupertino, CA Full Time
Job Details The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS...
Annapurna Labs
Hired Organization Address Cupertino, CA Full Time
Custom silicon chips live at the heart of AWS machine learning servers (Trainium and Inferentia), and our team builds th...
Annapurna Labs
Hired Organization Address Austin, TX Full Time
Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hund...

Not the job you're looking for? Here are some other Sr. Physical Design Methodology Engineer, Annapurna Labs jobs in the Cupertino, CA area that may be a better fit.

Sr. Physical Design Methodology Engineer, Annapurna Labs

Amazon Web Services (AWS), Cupertino, CA

AI Assistant is available now!

Feel free to start your new journey!