System Manufacturing Integration Lead Engineer, Nitro Team, Annapurna Labs

Amazon is hiring a System Manufacturing Integration Lead Engineer, Nitro Team, Annapurna Labs in Haifa, Israel. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
The posting mentions AI automation, manufacturing operations and hardware integration among its tools and skills.
Level classes it as a lead role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Lead manufacturing integration engineer owning end-to-end production flows and test strategies for Nitro hardware platforms.

ai-automationmanufacturing-operationshardware-integrationtest-engineeringprocess-optimization

Annapurna Labs Hardware Engineering department is a fast growing and leading-edge research and development team that creates compute, storage server and machine-learning designs for our innovative web service and e-commerce technology platforms. Our designs are industry-leading in terms of performance, frugality and operational excellence, and are critical to the success of the AWS business and the hundreds of thousands of customers who use utility computing today.

Annapurna Labs, as part of Amazon, is looking for a Nitro System Manufacturing Integration Lead Engineer to be part of defining, shaping, and implementing manufacturing flows, test definitions, and card-to-server integration processes for Nitro-based platforms. This includes to be part of the manufacturing flow architecture, production test strategy, process stabilization, and yield optimization bridging system design intent with high-volume manufacturing execution.

Key job responsibilities
As a System Manufacturing Integration Lead Engineer, in the Nitro team, you will own the end-to-end manufacturing flows for accelerator card-to-server integration across manufacturing partner facilities driving the process from initial definition through stabilization into a scalable, high-yield mass production operation.

Key responsibilities include:
- Architect manufacturing flows — be part of the complete card-to-server integration sequence, including every process step, quality gate, and decision point from sub-assembly through system integration and tests.
- Define test strategy — be part of determining what to test, when, and at which station, covering card-level functional tests, post-integration validation, firmware provisioning, and first power-up diagnostics.
- Establish classification criteria — be part of determining pass/fail thresholds and test exit gates to maximize yield and minimize material waste.
- Drive process stabilization — work directly and on-site with manufacturing partners to implement, debug, and iterate on manufacturing flows from early builds through a locked, repeatable production process.
- Design alternative flows — develop parallel manufacturing paths to address real-world constraints such as component availability gaps, deferred card integration, and hub-based assembly models.
- Own process documentation & KPIs — maintain manufacturing flow baselines, drive process change control, and track yield, first-pass rate, cycle time, and defect Pareto.
- Lead cross-functional coordination — serve as the single point of ownership across hardware engineering, firmware, test/vetting, thermal, mechanical, and operations teams for Nitro-based accelerator servers built at scale.

Basic qualifications

- B.Sc. in Electrical Engineering / SW Science / Compute engineering or in related field.
- 7+ years in system integration (HW/SW/SoC’s) and manufacturing for Compute/Embedded systems (ARM, x86, AMD).
- 3+ years working directly with design and manufacturing partners, including on-site presence at partner facilities.
- Experience leading a product through the full manufacturing lifecycle from initial flow definition through process stabilization and volume production.
- Experience with operating systems, boot loaders, networking, and remote debugging.

Preferred qualifications

- SW development experience including data analysis and database querying.
- Developing AI automation tools for testing, debugging, analysis, and code generation.
- Familiarity with statistical process and process capability assessment (Cp/Cpk).
- Knowledge of high-speed interfaces (DDR, PCIe, Ethernet) and protocols.
- Familiarity with server architecture, design, and integration in leading industrial companies.

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

System Manufacturing Integration Lead Engineer, Nitro Team, Annapurna Labs at Amazon rates 10 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

System Manufacturing Integration Lead Engineer, Nitro Team, Annapurna Labs is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in IL, Haifa.
The job was posted on September 22, 2026.
Seniority: lead.
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

AI AutomationManufacturing OperationsHardware IntegrationTest EngineeringProcess Optimization

Questions you could be asked

Tell me about a workflow you automated with AI tools, end to end.
Tell me about a project where manufacturing operations was part of your work. What did you do?
Tell me about a project where hardware integration was part of your work. What did you do?
Tell me about a project where test engineering was part of your work. What did you do?
Tell me about a project where process optimization was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Automation, Manufacturing Operations, Hardware Integration, Test Engineering, and Process Optimization. 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.

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