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We are looking for System Software Engineer to help define, shape, and integrate advanced solutions for the next generation of our cloud platforms.

Join our dynamic System Software team in creating innovative software solutions that power our product development lifecycle from conception to deployment. You'll develop critical tools that ensure product excellence across design, validation, manufacturing, and production environments


Key job responsibilities
Design and develop software tools for all product development stages (card level, rack level).
Collaborate with hardware engineers, firmware developers, and system architects.
Create and maintain debugging tools and utilities
Develop comprehensive documentation and provide training for tools.
Optimize testing and validation processes for coverage, speed, efficiency, and resource utilization.
Research and implement new technologies to enhance the testing ecosystem.
Support critical system troubleshooting and issue resolution.
Participate in design reviews and provide technical guidance on testability.

Come join the Agentic AI science team in building the next generation models for intelligent automation.

We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.

We're looking for a talented SoC Integration Lead to join our Nitro team and help shape what comes next. You will spearhead the SoC integration activities of sophisticated networking chips, collaborating closely with Architecture, RTL Design, Physical Design, Package Design, Verification, Software, DFT, and additional teams in a dynamic, open, and fast-paced environment. As a member of the Nitro project, you will have influence over the device through its entire lifecycle from product definition to mass production. You'll work alongside a world-class, fast-moving engineering team, take full ownership of critical IP blocks, and see your work deployed at a scale no other platform can match, powering hundreds of thousands of businesses across 190 countries.

Key job responsibilities
Take full ownership of SoC integration, including IPs development, partitioning, clock domain crossing (CDC), reset domain crossing (RDC), exploratory synthesis, and design quality verification.
Drive chip-level design implementation by partnering with multiple teams including Architecture, RTL Design, DFT, Verification, System Verification, STA, and Physical Design.
Oversee the creation of SoC-level IP blocks such as fabrics, interfaces, and security modules.
Lead RTL integration activities including micro-architecture definition, RTL coding and debug, synthesis and timing closure, and sign-off.
Address diverse functional and structural challenges, encompassing functional debugging, physical design preparation, emulation, and design quality issue resolution.
Contribute to the creation and implementation of design flows and automated solutions that facilitate efficient SoC development.
Support Verification and Emulation teams through test plan development and coverage review.
Ensure the chip meets quality and reliability standards while delivering to physical design teams, emulation platforms, firmware developers, and other stakeholders.

We're looking for an exceptional senior Chip Design Engineer to join our Nitro team and help shape what comes next. You'll work alongside a world-class, fast-moving engineering team, take full ownership of critical IP blocks, and see your work deployed at a scale no other platform can match - powering hundreds of thousands of businesses across 190 countries.

As a Senior Chip Design Engineer on the Nitro team, you will take full end-to-end ownership of one or more critical IP blocks within the product, guiding them from micro-architecture definition through RTL design, debug, synthesis, timing closure, and final sign-off before tape-out. Your work will ship in silicon that powers AWS at global scale.
You'll partner closely with the Verification and Emulation teams to shape test plans, review coverage, and close gaps early in the design cycle. Beyond your own IP, you'll collaborate across disciplines with Product Definition, Software, Physical Design, and Verification teams to deliver a fully integrated, production-ready chip.

Key job responsibilities
* Full ownership of one or more IPs within the product:
- Micro-architecture definition.
- RTL coding and debug.
- Synthesis and timing closure.
- Sign-off before tape-out.
* Supporting the Verification and Emulation teams: Test plan development, coverage review.
* Ensuring the chip meets quality and reliability standards.
* Collaborating with cross-functional teams, including Product Definition, Verification, Software, and Physical Design.

We are looking for a SoC / IP Architect to shape the next revolution in electronics!
Responsibilities
Define and design architecture: Create the overall SoC/IP architecture based on product and customer requirements and define detailed technical specifications.
Collaborate with cross-functional teams: Work with a variety of teams, including logic design, verification, firmware architecture and development teams, and physical design, to ensure successful execution.
Lead technical discussions and architectural reviews, guiding design and verification teams to deliver scalable, high-quality implementations.
System-level integration: Ensure seamless hardware-software co-design by working on aspects like control paths, interrupt schemes, and debug infrastructure.
Drive architectural decisions that optimize scalability, and future readiness for next-generation applications.

We are seeking an Applied Scientist to help build our next-generation customer memory and personalization systems.

As an Applied Scientist, you will design and build ML and LLM-powered solutions for our customer memory and personalization systems. You will work on how customer knowledge is extracted, validated, and applied in production systems.

You will own the end-to-end delivery of ML solutions, from problem formulation and modeling to offline and online experimentation, and production deployment at scale. You will deliver high-quality, scalable systems that power customer-facing experiences.
You will drive work across areas such as fact extraction, memory quality and lifecycle, temporal reasoning, and grounded personalization, while navigating tradeoffs between quality, latency, and coverage.
You will collaborate closely with engineering and product teams to translate research into measurable customer impact.

We are seeking an Applied Scientist to help build our next-generation customer memory and personalization systems.

As an Applied Scientist, you will design and build ML and LLM-powered solutions for our customer memory and personalization systems. You will work on how customer knowledge is extracted, validated, and applied in production systems.

You will own the end-to-end delivery of ML solutions, from problem formulation and modeling to offline and online experimentation, and production deployment at scale. You will deliver high-quality, scalable systems that power customer-facing experiences.
You will drive work across areas such as fact extraction, memory quality and lifecycle, temporal reasoning, and grounded personalization, while navigating tradeoffs between quality, latency, and coverage.
You will collaborate closely with engineering and product teams to translate research into measurable customer impact.

We are a Software Embedded Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure. You will join teams focused on networking, machine learning acceleration, and high-performance computing (HPC), impacting millions of our services globally.

Cutting-Edge Technology: Work on custom silicon (e.g., Graviton, ML accelerators) and innovative networking solutions at the intersection of hardware and software.

Growth & Innovation: Benefit from AWSs resources, mentorship programs, and opportunities to publish technical content.

We are looking for a Junior Application Engineer to join a global team of Application Engineers that own a technical success and customer satisfaction across multiple high-impact projects.
Responsibilities
Provide close support to customers and deploy our technology across multiple projects
Provide training to customers on our tools and present our technology
Ability to plan, prioritize tasks/issues and take them to full resolution
Provide continuous feedback to R&D to improve the product.

We are looking for a IT Help Desk Support to join the ride as we spearhead the next revolution in electronics!
Responsibilities
Helpdesk Support:
Respond to user queries via helpdesk ticketing system, email, in person, and remote access tools.
Provide first- and second-line technical support for hardware, software, and network issues.
Diagnose and troubleshoot incidents and service requests, escalating as necessary.
Follow standard operating procedures for incident response, documentation, and escalation.
Administer and maintain helpdesk/ticketing software, ensuring accurate records of all requests and resolutions.
Develop and deliver end-user training sessions and create supporting materials.
Write and update user guides, FAQ documents, and training manuals.
User Lifecycle Management
Onboarding and Offboarding:
Provision accounts, devices, and necessary access rights for new users.
Offboard departing users, including revoking access, collecting equipment, and archiving data.
Maintain and periodically review user accounts and permission groups to ensure compliance and security.
Endpoint Management:
Provision and manage company devices (Windows, Mac, mobile), ensuring compliance with security policies.
Support device lifecycle management: setup, maintenance, asset tracking, and decommissioning.
Asset Management: Track and manage IT assets, licenses, and inventory.

We're seeking a Software Engineer to join our development team supporting our software group.

What makes this role unique is your direct impact on AI-powered innovation - you'll be building intelligent systems that drive the development of next-generation cloud technologies.
You'll work at the fascinating intersection of AI driven automation and cloud platform development, implementing automation solutions that directly enhance the productivity of our engineers. Unlike typical roles, you'll have the opportunity to influence both AI implementation and core architecture while collaborating with cloud technology experts.
The position offers rare exposure to cutting-edge cloud computing technology combined with the latest advances in artificial intelligence. You'll be part of a team that values technical excellence, working in an environment where your ideas can quickly transform from concept to reality.
In this role you will create groundbreaking platforms that directly shape the way we work. You'll develop smart automation solutions, implement AI-driven tools and workflows and be part of AI transformation.

Be part of an elite team developing cutting-edge AI infrastructure automation solutions supporting Annapurna Labs' innovative technology development. Shape the future of cloud computing while working with state-of-the-art cloud and AI technologies in a fast-paced environment.

Key job responsibilities
* Develop and deploy AI-powered solutions and AWS cloud services that transform development workflows.
* Lead technical innovation by driving architectural decisions and GenAI technology adoption.
* Champion AI transformation across engineering teams through education and hands-on implementation.
* Partner with elite cloud teams to identify opportunities and deliver cutting-edge solutions.
* Ensure system excellence through participation in on-call rotations and reliability initiatives.

We are looking for a Senior VLSI Verification Engineer to join the ride as we spearhead the next revolution in electronics!
Position location: in our Haifa or TLV offices, at least 2 working days at Haifa site (Hybrid model)
Responsibilities:
Develop and maintain advanced verification environments using SystemVerilog and UVM, ensuring scalability, configurability, and reusability across multiple IPs.
Design, implement, and execute comprehensive testbenches and random test suites to validate functional correctness, robustness, and corner-case behavior of complex IP within various SoC integration environments.
Drive coverage closure by defining, collecting, and analyzing code and functional coverage metrics; identify verification gaps and ensure complete validation of feature sets prior to sign-off.
Lead debug and root-cause analysis efforts in collaboration with senior verification and design engineers, leveraging carefully crafted logs, waveform analysis and assertions to isolate and resolve design or environment issues.
Collaborate closely with architecture, design, and firmware teams to ensure verification completeness, alignment with design intent, and seamless integration at the system level.
Contribute to methodology and infrastructure improvements, including reusable UVM components, automation scripts, and best practices that enhance team efficiency and verification quality.

We are looking for a Senior Machine Learning Algorithm Engineer who is passionate about solving complex, real-world problems at the intersection of hardware and software.
Location: Haifa \ Tel-Aviv in hybrid model.
Responsibilities
Develop advanced ML algorithms using data from our Agents embedded in silicon. Example domains include:
Lifetime predictions
Clustering and dimensionality reduction
Parametric modeling and screening
Time-series forecasting
Lead end-to-end algorithm lifecycle: ideation → research → POC → design → implementation → validation → deployment.
Collaborate closely with cross-functional teams and directly with customers to continuously refine and enhance deployed solutions.
Drive integration of AI-enhanced tools and intelligent pipelines into ML workflows.

We are seeking an Applied Science Manager to lead a team building our next-generation customer memory and personalization systems.

As an Applied Science Manager, you will lead a team of scientists working on LLM-powered memory and personalization systems. You will define the scientific direction for how customer knowledge is extracted, validated, and applied in production systems.

You will own the end-to-end delivery of ML solutions, from problem formulation and modeling to offline and online experimentation, and production deployment at scale. You will ensure your team delivers high-quality, scalable systems that power customer-facing experiences.
You will drive work across areas such as fact extraction, memory quality and lifecycle, temporal reasoning, and grounded personalization, while navigating tradeoffs between quality, latency, and coverage.
You will hire and develop scientists, raise the scientific bar, and foster a culture of ownership and rigor. You will partner closely with engineering and product teams to translate research into measurable customer impact, and represent your teams work to senior leadership.

As a Chip Design Engineer on the Nitro team, you will take full end-to-end ownership of one or more critical IP blocks within the product, guiding them from micro-architecture definition through RTL design, debug, synthesis, timing closure, and final sign-off before tape-out. Your work will ship in silicon that powers AWS at global scale.
You'll partner closely with the Verification and Emulation teams to shape test plans, review coverage, and close gaps early in the design cycle. Beyond your own IP, you'll collaborate across disciplines with Product Definition, Software, Physical Design, and Verification teams to deliver a fully integrated, production-ready chip.