Senior ML Accelerator Solutions Architect

Amazon Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 177,000 - 239,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Annapurna Labs, now part of Amazon, seeks a hands-on technologist to work with the Neuron software team and strategic customers on accelerated ML solutions. You will deploy and scale DL models, integrate with ML accelerators, and share best practices across teams.

The role emphasizes deep technical credibility, cross-functional collaboration, and thought leadership to drive adoption of AWS ML accelerators and related technologies.

Qualifications

• 8+ years in software, cloud, systems or security domains.
• 3+ years in design, implementation, or consulting for applications and infrastructures.
• 10+ years in IT development or implementation/consulting in software or Internet industries.
• 5+ years of infrastructure architecture and networking experience.
• Experience working with end user or developer communities.

Responsibilities

• Design architectures and own PoC solutions for strategic customers leveraging AWS ML accelerators and services.
• Drive adoption by taking ownership of technical engagements with ecosystem partners and strategic customers.
• Develop strong partnership with engineering, serving as customer advocate to shape product roadmap.
• Craft and deliver audience-specific messaging artifacts (videos, demos, workshops, how-to guides) for AWS ML accelerators.
• Capture, implement and share best-practices knowledge among the AWS technical community.

Skills

Infrastructure architecture

Networking

Cloud computing

Software development

Job description

Annapurna Labs, now part of Amazon, seeks a hands-on technologist to work with the Neuron software team and strategic customers on accelerated ML solutions. You will deploy and scale DL models, integrate with ML accelerators, and share best practices across teams.

The role emphasizes deep technical credibility, cross-functional collaboration, and thought leadership to drive adoption of AWS ML accelerators and related technologies.