SDE II, SageMaker Hyperpod at Amazon Santa Clara, CA

Salón Večná kráska; Santa Clara (CA); On-site; USD 129,000 - 224,000; Full time

Job summary

Amazon Web Services (AWS) in Santa Clara, CA, is seeking an SDE II to help build the SageMaker Hyperpod and next-generation AI compute platform optimized for LLMs and distributed training. You will design and implement distributed ML systems, collaborate with ML scientists, and guide junior engineers while driving architecture and best practices in a fast-paced environment.

This role offers the chance to work with Kubernetes, PyTorch, and GPU technologies to scale AI workloads for global

Qualifications

• 3+ years of professional software development experience.
• 2+ years of design or architecture experience for distributed systems.
• Experience programming in at least one language.

Responsibilities

• Design, develop, test, and deploy distributed ML systems at scale.
• Collaborate with ML scientists and customers to shape roadmap and requirements.
• Drive system architecture and best practices for a scalable AI platform.

Skills

Software development

System architecture

Programming languages

Education

Bachelor's degree in Computer Science or equivalent

Job description

SDE II, SageMaker Hyperpod job at Amazon. Santa Clara, CA. Description At AWS AI, we want to make it easy for our customers to train their deep learning workload in the cloud. With Amazon SageMaker, AWS is building customer-facing services to empower data scientists and software engineers in their deep learning endeavors. As our customers rapidly adopt LLMs and Generative AI for their business, we're building the next-generation AI platform to accelerate their development. We're seeking a dedicated engineering team lead to drive building our next-generation AI compute platform that's optimized for LLMs and distributed training.

Key job responsibilities

As an SDE, you will be responsible for designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our world-wide customer base. In this, you will collaborate closely with a team of ML scientists and customers to influence our overall strategy and define the team's roadmap. You'll assist in gathering and analyzing business and functional requirements, and translate requirements into technical specifications for robust, scalable, supportable solutions that work well within the overall system architecture. You will also drive the system architecture, spearhead best practices that enable a quality product, and help coach and develop junior engineers. A successful candidate will have an established background in engineering large scale software systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast paced environment.

A day in the life

• Build and improve next-generation AI platform using Kubernetes as orchestration layer.
• Collaborate with internal engineering teams, leading technology companies around the world and open source community - PyTorch, NVIDIA/GPU.
• Create innovative products to run at scale on the AI platform, and see them launched in high volume production.

About the team

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 conferences, inspire us to never stop embracing our uniqueness.

Basic Qualifications

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language

Preferred Qualifications

• 3+ 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

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Compensation

The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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.

• Equity
• Sign-on payments
• Other forms of compensation may be provided as part of a total compensation package
• Full range of medical, financial, and/or other benefits

Our inclusive culture empowers Amazonians to deliver the best results for our customers.

This position will remain posted until filled.