Sr. SoC Power Engineer, Annapurna Labs, Cloud Scale Machine Learning Full-time

Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SoCs that are used to power today’s AI workloads in datacenters all around the world. As a Sr. SoC Power Engineer, you’ll contribute to the project at the ground level by modeling and estimating power at every stage of the design from early RTL to final netlist and by driving ways to reduce power consumption of our machine learning accelerators.

We’re searching for an experienced SoC Power engineer with a background in Power analysis with a proven track record of handling challenges at scale. In this role, you’ll be working directly with architects, designers, verification engineers, software teams, and Physical Design experts – defining best practices to reduce power and model power consumption with high accuracy.

Key job responsibilities

– Responsible for full chip power analysis & modelling at various stages of design (RTL to gate level netlist)

– Develop and maintain dashboards for power rollups

– Work with designers, architects, Verification engineers and Physical Design engineers to develop vectors for IR analysis, Thermal analysis and power estimation

– Give feedback to designers and architects on how to reduce power

– Make power measurements in the lab and correlate back to simulations.

– Work with Emulation engineers to model chip-level power consumption

A day in the life

Depending on the state of the project, you may find yourself working on the following:

– Working with designers, architects and verification engineers to come up with worst-case vectors for power analysis or IR analysis

– Root cause causes of low annotation or low switching coverage with vectors

– Develop & maintain dashboards to track power consumption

– Run tools like Power Artist to identify power saving opportunities and feed these back to the design team.

– Work with emulation engineers to model chip level power consumption and correlate with simulation

– Do post-silicon power measurements and correlate with simulation.

About the team

We are a start-up like team where no-one says “this is not my job” and you won’t find anyone telling you to stay in your lane. This is a fast-paced, intellectually challenging position, and you’ll work with thought-leaders in multiple technology areas. We encourage collaboration and teamwork with multiple teams and engineers including architects, RTL designers, Verification engineers, , Physical Design engineers, Emulation engineers and software engineers.

BASIC QUALIFICATIONS

– BS + 6yrs or MS + 5yrs or PhD + 3yr in EE/CS

– Expert on power analysis tools like PrimePower, PowerArtist or similar

– Deep, circuit-level understanding of chip power

– Ability to give feedback to RTL designers and Physical Designers on how to reduce power

– Highly proficient with scripting language (Tcl, Perl, Python or similar)

– Good understanding of Physical Design, EM/IR, Power Integrity, and Thermal at the die, package, board, and server level

– Some experience with lab equipment and capable of doing lab power analysis

PREFERRED QUALIFICATIONS

– Familiarity with Make or similar for automation of power rollups

– Experience with RTL design (System verilog)

– Familiarity with EMIR analysis tools (Redhawk / Voltus)

– Experience with Zebu Emulator platform

Amazon 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.

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 inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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.