PD Methodology Engineer II, Annapurna Labs
Annapurna Labs (U.S.) Inc., San Diego, California +1
Annapurna Labs (U.S.) Inc., San Diego, California +1
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.
Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Cupertino – 176,600.00 - 247,300.00 USD annually
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 technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost.
You’ll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought-leaders in multiple technology areas. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products' performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
NVIDIAUS, CA, Santa Clara +1
$168K–$311K / yr
Posted 16 days ago
checked 5 days agoNVIDIAUS, CA, Santa Clara +3
$168K–$311K / yr
Posted 16 days ago
checked 5 days agoNVIDIAUS, CA, Santa Clara +1
$168K–$311K / yr
Posted 16 days ago
checked 5 days agoAstera LabsSan Jose, California +1
Source: amazon.jobs. We last checked this job 2 days ago. We first saw it 8 days ago. A job on a job board does not always mean that the team interviews people now.
$185K–$240K / yr
Posted Jul 22, 2026
IntelIndia, Bangalore
Pay not posted
Posted 19 days ago
checked 2 days agoPay not posted
Posted Feb 19, 2026
This base pay is above the median for software engineering jobs in the Bay Area with no level in the job title.
We compare the middle of each posted range. This is base pay as posted. The group does not include this job.