Description

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new 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, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.

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.

We are seeking a highly skilled Power and Performance Developer and Analyst with a strong focus on tool development, coding, and scripting as well as data analysis to join our machine learning data center team. In this role, you will be responsible for driving the automation of power and performance analyses, including developing the necessary infrastructure and frameworks for efficient data collection and analysis. You will collaborate with architecture, hardware, firmware, and software teams to define key metrics and ensure that data-driven insights lead to significant optimizations in data center performance and power efficiency. This role also involves developing software to interface with firmware and hardware components for real-time power and performance data collection.

Key job responsibilities

• Develop and automate tools and frameworks for running training and inference workloads, as well as collecting power and performance metrics.

• Use programming and scripting languages (C/C++, Python, Bash, etc.) to create efficient workflows for automating the execution of complex workloads and data collection processes.

• Perform in-depth data analysis of collected power and performance metrics, identifying key trends, bottlenecks, and opportunities for optimization.

• Work closely with cross-functional teams (architecture, hardware, firmware, software) to define data collection strategies, select appropriate metrics, and develop automated analysis tools.

• Build and maintain interactive dashboards and data visualization tools to communicate insights from performance and power data clearly and effectively to technical and non-technical stakeholders.

• Contribute to the creation of end-to-end automated pipelines for continuous power and performance testing, monitoring, and reporting.

• Design and implement data validation processes to ensure the accuracy and integrity of collected power and performance metrics across various workloads.

• Perform root cause analysis of performance and power inefficiencies, using custom scripts and tools to debug and optimize system-level performance.

• Optimize data collection and analysis processes to improve efficiency, scalability, and accuracy in high-performance environments.

• Collaborate with the team to build a comprehensive test suite for validating power and performance benchmarks across hardware and software configurations.

• Stay current on emerging tools, technologies, and best practices in power and performance analysis, contributing to the evolution of our tool set and frameworks.

About the team

Our 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 Experiences

AWS 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 AWS

Amazon 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 Culture

Here 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 Balance

We 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 Growth

We’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

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.

• Strong experience in programming and scripting (Python, Bash, or similar) to automate data collection, analysis, and reporting tasks.

• Proficiency in developing and maintaining custom tools for power and performance measurement in data center environments.

• Experience with data analysis frameworks (e.g., Pandas, NumPy) and data visualization tools (e.g. Matplotlib, Power BI, Tableau) to analyze and present performance data.

• Strong background in automating system-level performance testing and benchmarking.

• Hands-on experience with cloud or data center platforms, including managing and running workloads such as AI training/inference, storage, and compute.

• Familiarity with system profiling tools and power monitoring tools (e.g., Intel RAPL, P-state, NVLink).

• Familiarity with Linux environments, system-level monitoring tools, and performance tuning.

• Experience working with distributed systems and high-performance computing environments is a plus.

Preferred Qualifications

• Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and related workloads.

• Familiarity with power management techniques such as dynamic voltage and frequency scaling (DVFS), low-power states, and energy-efficient design.

• Experience with developing automated testing pipelines for continuous integration of power and performance metrics.

• Strong problem-solving skills and the ability to debug complex power and performance issues in large-scale systems.

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.