Annapurna Labs

Technology

SrSolutionsArchitect

$60–239k Cupertino, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr Solutions Architect at Annapurna Labs. Skills: Machine Learning Accelerators, AWS Neuron, Deep Learning Deployment. Design architectures for customers. Own Proof of Concept solutions”

Industry & Context.

Technology
Problems you'll solve

Troubleshooting

What They're Looking For.

Must Have

8+ years technology domain experience, 3+ years design/implementation/consulting experience, 10+ years IT development/implementation/consulting experience

Nice to Have

5+ years infrastructure architecture experience, 5+ years database architecture experience, 5+ years networking experience, Knowledge of SAP systems, Experience working with end user communities, Experience working with developer communities, Experience managing SAP customers, Experience managing SAP partners, Experience in SAP S/4HANA, Experience in SAP Cloud Platform, Experience in SAP Cloud ERP, Experience in Cloud ERP Private, Experience in SAP clean core design, Design and build using non-SAP technologies, Generative AI experience, Agentic AI experience, Data and analytics experience

What You'll Do.

Design architectures for customers

Own Proof of Concept solutions

Leverage AWS ML accelerators

Leverage AWS features

Leverage AWS services

Drive adoption with partners

Drive adoption with customers

Define technical roadmaps

Implement technical roadmaps

Enable customer deployment

Develop partnership with engineering

Serve as customer advocate

Drive product roadmap

Work backwards from feedback

Drive thought leadership

Craft messaging artifacts

Deliver messaging artifacts

Create product videos

Present AWS ML accelerator technology

Create reference architectures

Capture best practices

Implement best practices

Work with Neuron SDK team

Work with strategic customers

Develop Deep Learning models

Deploy Deep Learning models

Integrate ML accelerators

Integrate ML products

Develop large-scale applications

Deploy large-scale applications

Become trusted advisor

Capture best practices knowledge

Share best practices knowledge

Amplify thought-leadership

Amplify AWS Neuron technology

How You'll Work.

Team & Collaboration

AWS services teams; Technical field communities; Sales teams; Marketing teams; Business development teams; Professional services teams; Engineering organizations; Neuron software development team

Communication Scope

Audience-specific messaging; Compelling messaging; Technical communication

Process & Methodology

Technical roadmaps

Full Job Description

Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last few years. The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and JAX. AWS Neuron and Inferentia are used at scale with customers like Anthropic, Apple, various internal Amazon teams and more customers in various other segments. The Team: The Amazon Annapurna Labs team is a responsible for building innovation in silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world’s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), in compute with AWS Graviton and the EC2 F1 FPGA instances, in storage with scalable NVMe, and now in AI and Machine Learning with AWS Neuron SDK, Inferentia and Trainium ML accelerators. You: In this customer-facing ro

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