Senior Software Development Engineer, Annapurna ML Systems, Trainium

Amazon is hiring a Senior Software Development Engineer, Annapurna ML Systems, Trainium in Austin, United States. It pays $193k-$262k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
The listed pay starts 16% above the typical software engineer posting on Level.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

We're seeking a Sr.Software Development Engineer with deep storage expertise to architect, build, and operate the high-performance storage infrastructure that accelerates silicon development at Annapurna Labs. In this role, you'll own the storage platforms—spanning Amazon FSx for NetApp ONTAP, FSx for Lustre, and S3—that enable chip design teams to iterate faster, run regressions more efficiently, and bring transformative custom silicon to market.

Key job responsibilities
You will design, deploy, and operate high-performance storage platforms—Amazon FSx for NetApp ONTAP (Gen1/Gen2) and FSx for Lustre—optimized for EDA and HPC workloads. This includes managing NFS exports, ONTAP SVMs, intelligent tiering (FabricPool), snapshot policies, SnapMirror replication, and quota enforcement across multi-tenant environments. You'll deploy all storage infrastructure using AWS CDK, architect cross-VPC and multi-account solutions via Transit Gateway and Route 53 private hosted zones, enable EFA for high-throughput Lustre access, and manage data synchronization using DataSync and S3 integrations. You'll build a Storage as a Service platform with self-service provisioning, defined SLOs, cost attribution, and automated lifecycle management that enables teams to consume storage without deep specialization.
You will build monitoring and observability for storage health, utilization, and cost trends, and establish incident response processes for storage-related failures. You'll continuously evaluate and adopt new AWS storage features—Gen2 scale-out, NVMe-over-TCP, enhanced backup performance—to keep the platform at the leading edge. You'll profile I/O patterns across EDA workloads, tune file system configurations for optimal performance, and partner with silicon design and verification teams to proactively scale capacity and mentor others on storage best practices.

A day in the life
You might start your day reviewing storage utilization dashboards and tiering efficiency reports, identifying file systems approaching capacity thresholds or workloads that would benefit from tier migration. Mid-morning, you could be collaborating with a verification team to provision a new FSx for Lustre file system optimized for their regression suite—sizing it based on their I/O profiles, enabling EFA access, and deploying it through your CDK pipeline.
In the afternoon, you might be building the next iteration of your Storage as a Service platform—adding automated quota enforcement for a new team onboarding, implementing a snapshot policy that aligns with their project milestones, or extending cross-VPC access to a new account. You'll review pull requests for CDK constructs, investigate a DataSync job that stalled, and discuss FSx ONTAP Gen2 migration plans with your team.
Throughout the day, you'll balance immediate customer needs—expanding a volume for a team blocked on disk space, troubleshooting NFS mount latency—with longer-term platform investments like evaluating intelligent tiering policies or prototyping NVMe-over-TCP access patterns. You'll engage with AWS service teams on feature requests and roadmap alignment, ensuring Annapurna Labs gets the most from the storage platform.

About the team
At Annapurna Labs, your storage infrastructure work directly enables breakthrough innovations in custom silicon that power AWS and transform industries. The EDA Cloud Infrastructure team builds and operates the compute, storage, and networking platforms that hundreds of chip designers and verification engineers depend on daily. We offer the resources and scale of AWS with the innovation culture and technical depth of a focused silicon team.
If you're passionate about storage systems, thrive on building platforms that make complex infrastructure simple for others, and want to see your work accelerate the next generation of AWS silicon—we want to hear from you.

Basic qualifications

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team
- 5+ years of relevant hands-on systems engineering and administrative work in networking, storage systems, operating systems experience
- Knowledge of Network protocols/storage protocols: iSCSI, NFS, CIFS, SMB/Understanding of Software Defined Storage (SDS) and Content Delivery Networks
- Bachelor's degree or above in Computer Science, Computer Engineering, Systems Engineering, Electrical Engineering, or other related discipline
- 3+ years of hands-on experience with NAS/NFS storage systems (NetApp ONTAP, or equivalent enterprise storage platforms)
- 3+ years of experience with AWS cloud services, including storage services (FSx, S3, EBS, EFS)

Preferred qualifications

- Experience with Amazon FSx for NetApp ONTAP (Gen1/Gen2 architectures, SVM management, FabricPool tiering, SnapMirror, snapshot policies)
- Experience with Amazon FSx for Lustre, including EFA-enabled configurations for HPC workloads
- Experience building self-service storage platforms with quota management, automated provisioning, and cost attribution
- Experience with AWS CDK (TypeScript or Python), including building custom L2/L3 constructs
- Experience with cross-VPC and multi-account storage architectures (Transit Gateway, VPC peering, Route 53 private hosted zones)
- Experience with storage observability: CloudWatch metrics, custom dashboards, capacity planning

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.

USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually
USA, CA, San Diego - 168,100.00 - 227,400.00 USD annually
USA, TX, Austin - 168,100.00 - 227,400.00 USD annually

How we rate this

Senior Software Development Engineer, Annapurna ML Systems, Trainium at Amazon rates 32 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Software Development Engineer, Annapurna ML Systems, Trainium is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $193k-$262k a year.
The role is based in US, TX, Austin.
The job was posted on November 5, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon