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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 looking for a Senior ASIC Physical Design Engineer to join our dynamic team, Join the ride as we spearhead the next revolution in electronics!
What Youll Do
Own and continuously improve our smooth product backend integration methodology, flows, and best practices using Cadence and Synopsys tools.
Develop, maintain, and scale automation and infrastructure (TCL / Python) to improve quality, predictability, and turnaround time.
Collaborate closely with multiple teams to ensure smooth handoffs and high-quality product.
Support field teams on complex technical issues when needed.
Responsibilities:
Implementation of ASIC units using advanced flows
Developing BackEnd methodology using Cadence and Synopsys tools
Build and develop scripts for physical design implementation
Support Field team with customer issues.

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 are looking for an experienced Pre-Silicon Quality Manager to lead quality initiatives across our R&D organization, working closely with chip design, verification, and Application Engineering teams.
In this role you will be focused on engineering quality across the pre-silicon development lifecycle, ensuring robust development processes, strong verification practices, and continuous improvement. The ideal candidate combines technical experience in RTL / chip design environments with the ability to partner with engineering teams, influence stakeholders, and promote a strong quality culture across the organization.
Responsibilities:
Lead quality initiatives across the pre-silicon development lifecycle
Define and implement quality gates and release criteria for chip development milestones
Promote a shift-left approach to improve early defect detection during design and verification
Define, implement, and improve engineering quality processes and development frameworks
Lead escape analysis, root cause investigations, and lessons learned to prevent recurrence of issues
Define and track quality KPIs, engineering metrics, and dashboards to support data-driven decision making
Perform defect analytics and trend analysis to identify systemic issues and improvement opportunities
Manage corrective and preventive actions (CAPA) and monitor effectiveness of implemented actions
Improve development, verification, and release processes across engineering teams
Identify and manage engineering quality risks throughout the development lifecycle
Drive cross-organizational continuous improvement initiatives across engineering teams
Partner with RTL design, verification, and Application Engineering teams to strengthen product quality and reliability
Support and improve quality processes that enable smooth customer onboarding, efficient integration, and reliable use of the Pre-Silicon solution
Improve issue management processes and feedback loops between engineering, AE, and customer-facing teams
Promote quality culture and engineering best practices across the organization.

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 Product Manager to lead the strategy and execution of our Firmware and Embedded Software solutions.
This isnt just a role-its an opportunity to influence the future of electronics and next-generation chips. Youll work at the intersection of hardware and software, guiding innovations that will impact industries from automotive to AI.
Position location: in our Haifa or TLV offices, at least one working day at the secondary site (Hybrid model)
Responsibilities:
Drive the vision and roadmap for FW and Embedded SW solutions that enable cutting-edge performance, reliability, and safety.
Collaborate with world-class engineering teams to deliver features that integrate deeply with advanced ICs.
Translate customer needs into actionable strategies and ensure successful deployments across different verticals.
Monitor and analyze product deliveries, usage, and performance to make data-driven optimization decisions.

We are looking for a Senior Product Manager to lead the product definition of our solutions in ATE and System Test. This role is central to driving innovation in semiconductor testing, bridging deep data and advanced analytics with ATE platforms and system-level validation. You will be responsible for defining the vision, roadmap, and planning of solutions that enhance quality, scalability, and robustness in semiconductor testing.
Position location: in our Haifa or TLV offices, at least one working day at the secondary site (Hybrid model)
Responsibilities
Product Strategy & Vision:
Define and communicate the product vision for our Edge products for ATE and System, aligned with our strategic objectives.
Analyze market trends and customer requirements to identify opportunities for differentiation and growth.
Roadmap Ownership:
Build and maintain a roadmap for ATE & system-level applications.
Prioritize features based on technical feasibility, customer impact, and business value.
Cross-Functional Leadership:
Collaborate with R&D, Algo, and Analytics teams to deliver high-quality integrations with leading ATE platforms (Advantest, Teradyne, etc.).
Partner with Application Engineering and Customer Success to ensure successful deployments and customer satisfaction.
Customer Engagement:
Support technical discussions, demos, and collaborations with key accounts.
Act as the voice of the customers, translating feedback into actionable requirements.
Quality & Compliance:
Drive initiatives for standardized test flows, traceability, and compliance with industry standards.
Performance Monitoring:
Define KPIs for adoption and success; use data-driven insights to optimize product performance.

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.