Senior Software Development Engineer (AWS ML), Machine Learning Israel (MLIL) — FLOW sub-team (Fleet Lifecycle & Operational Workflows)

Amazon is hiring a Senior Software Development Engineer (AWS ML), Machine Learning Israel (MLIL) — FLOW sub-team (Fleet Lifecycle & Operational Workflows) in Tel Aviv, Israel. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this software engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include AWS, Pcie and hardware diagnostics.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Lead software engineer designing validation and diagnostic systems for next-generation machine learning accelerator servers and fleet operations.

AWSPcie

hardware-diagnosticssystems-softwaredebuggingpython

Annapurna Labs designs silicon and software that accelerates innovation. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.

The MLIL FLOW team is looking for a Senior Software Development Engineer to lead the design and delivery of systems software for our next-generation ML accelerator servers. We build production software to validate, initialize, monitor, and qualify these servers — from first silicon through fleet-scale deployment. We work on the physical systems that execute ML workloads: Server bring-up, hardware diagnostics, interconnect validation, power/thermal monitoring, and fleet-scale operations are our bread and butter.

Key job responsibilities
• Lead the architecture and implementation of hardware validation and diagnostic software for new ML acceleration platforms.
• Drive technical direction for PCIe validation, power/thermal diagnostics, and stress-testing frameworks that run across manufacturing, vetting, and production environments.
• Own subsystems end-to-end: from design through implementation, testing, deployment, and operational excellence at fleet scale.
• Work with Hardware, Manufacturing, EC2 teams to create coordinated software packages that enable both qualification and rapid deployment.
• Debug and root-cause complex hardware/software interaction failures on first silicon and production fleet returns; drive root-cause to closure.
• Build and maintain data pipelines, dashboards, and monitoring systems for fleet health and performance benchmarking.
• Mentor engineers, define best practices, drive design reviews, and raise the bar for the team.
• Lead multiple development initiatives in parallel, balancing schedule, risk, and technical quality across a fast-moving hardware program.

A day in the life
You'll start your day reviewing telemetry data from overnight fleet validation runs, identifying patterns that could indicate hardware issues. Your morning might involve leading a design review for a new PCIe validation framework with hardware engineers, then switching to hands-on debugging of a complex power management issue affecting production systems. Afternoons often bring cross-team collaboration sessions where you'll coordinate software delivery timelines with Manufacturing teams, followed by mentoring sessions with junior engineers on advanced debugging techniques.

Basic qualifications

- Bachelor's degree or above in Computer Science, Computer Engineering, Electrical Engineering, or related fields
- At least 8 years of professional software development experience

Preferred qualifications

- Experience with hardware bring-up, ASIC/FPGA validation, or manufacturing test development
- Proficiency in scripting languages (Python, Lua) for test automation and data analysis
- Track record of cross-team influence and delivering results through others
- Experience building data pipelines, ETL systems, or fleet-scale monitoring/dashboarding
- Demonstrated project-management experience leading multiple R&D initiatives in parallel
- Advantage: Experience with PCIe, or high-speed interconnect validation and debugging

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.

How we rate this

Senior Software Development Engineer (AWS ML), Machine Learning Israel (MLIL) — FLOW sub-team (Fleet Lifecycle & Operational Workflows) at Amazon rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● 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 (AWS ML), Machine Learning Israel (MLIL) — FLOW sub-team (Fleet Lifecycle & Operational Workflows) is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in IL, Tel Aviv.
The job was posted on May 11, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Hardware DiagnosticsSystems SoftwareDebuggingPythonAWSPcie

Also common in software engineer jobs at this level

LLM Java Kubernetes AI agents TypeScript C++

Pay

Typical software engineer job: $167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

Tell me about a project where hardware diagnostics was part of your work. What did you do?
Tell me about a project where systems software was part of your work. What did you do?
Tell me about a project where debugging was part of your work. What did you do?
Tell me about a project where python was part of your work. What did you do?
Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Hardware Diagnostics, Systems Software, Debugging, Python, and AWS. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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