Solutions Architect, ML Infrastructure, Efficient Compute

at Amazon in Chicago, Illinois, United States

Job Description

Description

Amazon Web Services (AWS) is looking for an experienced Solutions Architect who will be the Subject Matter Expert (SME) responsible for helping customers succeed by adopting and building on AWS EC2 instances. As an ML Infrastructure Solutions Architect (SA), you will partner closely with the engineering, business development, and technical field teams to drive the enablement and adoption of AWS purpose built AI and ML chips(AWS Trainium and AWS Inferentia) running neuron SDK, GPU based EC2 instances running CUDA libraries . The specialist SA will develop white papers, blogs, reference architectures, and presentations to enable customers and partners to understand and leverage the value of these instances.

The ML infrastructure SA will also help drive enablement initiatives to continually develop the best technical field teams in the industry. As a Solutions Architect, you will have the opportunity to help shape and deliver on a strategy to redefine how customers create and consume cloud services at a scale not seen before. As a technical expert in the go-to-market specialist team, you’ll be at the tip of the spear for technology thought leadership and implementation with major customers across a broad array of EC2 Engagements. The ideal candidate must be self-motivated with a deep understanding of cloud, use cases, architectures, workflow and ecosystem. The ability to connect technology with measurable business value is critical to a Solutions Architect. You should also have a demonstrated ability to think strategically about business, products, and technical challenges.

AWS custom ML chips provide hardware acceleration with the AWS Neuron SDK to achieve high-performance, cost-effective training and inference. Integrated with TensorFlow and PyTorch frameworks, AWS Trainium and Inferentia provide high performance and the most cost efficient DL training and inference in the cloud. Further, our P-family instances are best fit to support the production training and inference requirements with the highest performing GPUs, the most memory, and the fastest networking.

Key job responsibilities

• Engage directly with customers and partners to provide them with technical advocacy on choice of accelerated infrastructure as they build on AWS. Ensure that they are spending as little time and money as possible doing so.

• Create plans, in conjunction with other members of customer and partner account teams, to define how you will help your customers with their cloud needs

• Continuously build personal expertise across a wide range of AWS services and reference architectures while providing thought leadership to customers and partners

• Share your technical knowledge broadly by participating in one-to-few and one-to-many sessions with larger groups of customers and partners.

• Work with other teams at AWS (e.g. marketing, training, APN) to contribute to the creation of content that can be delivered to the broader community at scale (e.g. online videos, and other digital content)

About the team

Why 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.

Mentorship and 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

- 5+ years of design, implementation, or consulting in applications and infrastructures experience

- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

- Bachelor’s degree

- Travel to client locations as needed. Estimated 30% travel requirement.

Preferred Qualifications

- Experience in technology/software sales, pre-sales, or consulting

- Experience migrating or transforming legacy customer solutions to the cloud

- Experience with scripting (e.g. Python, PowerShell)

- Knowledge of NVIDIA CUDA libraries and how they are integrated into ML/DL frameworks such as TensorFlow, PyTorch or Sci-Kit learn

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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/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.