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Amazon Software Development Engineer - ML Inference Optimization Stack in Santa Clara, California

Description

At AWS AI, we want to make it easy for our customers to deploy machine learning models on any endpoint in the cloud. Just as SageMaker provides a complete set of services to simplify the task of building and training a model, SageMaker ML Inference Optimizations Team optimizes models using Deep Learning compilers and other optimization techniques to generate a more efficient model, which offers best inference performance to its customers.

The SageMaker ML Inference Optimizations team is growing rapidly to keep up with growth in customers and their requests. We are hiring well-rounded software developers with backgrounds in machine learning, compilers, systems, and AI accelerators. If you have worked on HPC and performance tuning, you will enjoy working on the breadth of ML applications that we optimize.

As a deep learning platform developer, you will create systematic approaches to improve the performance of deep learning inference. You will help develop different deep learning model optimization techniques to improve the performance of model inference at runtime along the dimensions of latency, throughput and cost. The work offers an extremely broad set of opportunities to work as a full stack SDE with exposure to multiple AI applications, ML frameworks, models, compilers, systems SW, and various AI hardware including ARM, Intel, AWS Inferentia, and NVidia.

Join the Amazon SageMaker ML Inference Optimization team to help AWS customers deploy machine learning models in the cloud running at the best possible performance. Work on open source industry-standard compilers and inference runtime for machine learning and help optimize the inference experience for SageMaker customers.

Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.

Work/Life Balance

Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

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 based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age

We are open to hiring candidates to work out of one of the following locations:

Santa Clara, CA, USA

Basic Qualifications

  • 5+ years of non-internship professional software development experience

  • 5+ years of programming with at least one software programming language experience

  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

  • Experience as a mentor, tech lead or leading an engineering team

Preferred Qualifications

  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

  • Bachelor's degree in computer science or equivalent

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $134,500/year in our lowest geographic market up to $261,500/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. Applicants should apply via our internal or external career site.

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