Solution Architect, Annapurna ML
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Job Location:
Charlotte, VT - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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 cutting edge software stack 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 Snap Autodesk Amazon Alexa Amazon Rekognition 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 worlds 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 role you will work closely with our Neuron software development team and strategic customers on cutting edge accelerated Machine Learning solutions. You will bring your hands-on experience developing and deploying Deep Learning models and integrate it with our ML accelerator products into large-scalable production applications.
You will need to be technically capable and credible in your own right to become a trusted advisor for customers developing deploying and scaling Deep Learning applications on AWS ML accelerators. Youll succeed in this position if you enjoy capturing and sharing best practices and insights and help shape how AWS ML accelerator technology gets used. You will be a hands-on partner to AWS services teams technical field communities sales marketing business development and professional services to drive adoption. Youll leverage your communications skills and be very technical when doing so to help amplify the thought-leadership around AWS Neuron technology stack to the broader AWS field community as well as our customers.
Key job responsibilities
- Design architectures and own Proof of Concept (PoC) solutions for strategic customers leveraging AWS ML accelerators technologies and the broader set of AWS features and services.
- Drive adoption by taking ownership of technical engagements with eco-system partners and strategic customers assisting with the definition and implementation of technical roadmaps and enabling them to successfully deploy on AWS ML Accelerator.
- Develop strong partnership with engineering organizations serving as the customer advocate to help drive product roadmap working backwards from customers feedback.
- Drive thought leadership by crafting and delivering compelling audience-specific messaging artifacts (product videos demos workshops how to guides etc.) presenting AWS ML accelerator technology through AWS Blogs reference architectures and solutions and public-speaking events.
- Capture implement and share best-practices knowledge among the AWS technical community regarding AWS ML Accelerators.
- 2 years of design implementation or consulting in applications and infrastructures experience
- 4 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience
- 10 years of IT development or implementation/consulting in the software or Internet industries experience
- Experience working within software development or Internet-related industries
- Experience working with AWS technologies from a dev/ops perspective
- Knowledge of software development tools and methodologies
- Experience in technology/software sales pre-sales or consulting
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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 worlds 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 role you will work closely with our Neuron software development team and strategic customers on cutting edge accelerated Machine Learning solutions. You will bring your hands-on experience developing and deploying Deep Learning models and integrate it with our ML accelerator products into large-scalable production applications.
You will need to be technically capable and credible in your own right to become a trusted advisor for customers developing deploying and scaling Deep Learning applications on AWS ML accelerators. Youll succeed in this position if you enjoy capturing and sharing best practices and insights and help shape how AWS ML accelerator technology gets used. You will be a hands-on partner to AWS services teams technical field communities sales marketing business development and professional services to drive adoption. Youll leverage your communications skills and be very technical when doing so to help amplify the thought-leadership around AWS Neuron technology stack to the broader AWS field community as well as our customers.
Key job responsibilities
- Design architectures and own Proof of Concept (PoC) solutions for strategic customers leveraging AWS ML accelerators technologies and the broader set of AWS features and services.
- Drive adoption by taking ownership of technical engagements with eco-system partners and strategic customers assisting with the definition and implementation of technical roadmaps and enabling them to successfully deploy on AWS ML Accelerator.
- Develop strong partnership with engineering organizations serving as the customer advocate to help drive product roadmap working backwards from customers feedback.
- Drive thought leadership by crafting and delivering compelling audience-specific messaging artifacts (product videos demos workshops how to guides etc.) presenting AWS ML accelerator technology through AWS Blogs reference architectures and solutions and public-speaking events.
- Capture implement and share best-practices knowledge among the AWS technical community regarding AWS ML Accelerators.
- 2 years of design implementation or consulting in applications and infrastructures experience
- 4 years of specific technology domain areas (e.g. software development cloud computing systems engineering infrastructure security networking data & analytics) experience
- 10 years of IT development or implementation/consulting in the software or Internet industries experience
- Experience working within software development or Internet-related industries
- Experience working with AWS technologies from a dev/ops perspective
- Knowledge of software development tools and methodologies
- Experience in technology/software sales pre-sales or consulting
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at NC Charlotte - 131300.00 - 177600.00 USD annually
Required Experience:
Staff IC
Key Skills
- Business Process
- VMware
- Cloud
- HTML5
- Windows
- Project managements
- AWS
- Infrastructure
- Web Services
- JQuery
- Java
- Computer Engineering
- Solutions design
- Technical Solutions
- Analytics
About Company
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