Annapurna Labs
Technology
SrSolutionsArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“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.
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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