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We are building the first Neuron performance engineering team in Tel Aviv. As a Machine Learning Performance Engineer, you'll help shape the direction of this team from the ground up - profiling and optimizing workloads across the full ML software stack, writing high-performance kernels, and improving the Neuron SDK that external developers depend on. You'll work at the boundary between software and hardware, collaborating directly with compiler, runtime, and chip design engineers to close performance gaps customers care about.

The team is new and small, which means broad scope, direct ownership, and real influence over the technical direction we take. If you enjoy digging into performance bottlenecks and turning analysis into measurable wins, this role is for you.

Key job responsibilities
Design and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming models.
Profile ML workloads end-to-end to identify bottlenecks - memory, compute, or communication - and drive optimizations through to a measured improvement.
Enhance the programming model and tooling that kernel and model developers rely on, improving usability and debugging workflows.
Identify and drive optimization opportunities across the Neuron software stack (compiler, runtime, frameworks).
Document software designs, operational runbooks, and performance findings so the broader team can build on your work.

A day in the life
You might start your morning reviewing profiling data from a customer's large diffusion model training job, tracing a utilization gap back to a specific kernel. After a design discussion with compiler engineers about a new operator fusion strategy, you spend the afternoon writing and benchmarking a kernel prototype. Later, you review a teammate's pull request for a runtime optimization and share your findings in a short write-up for the broader Neuron organization. Your work directly translates into faster model execution and lower cost for AWS customers running ML workloads at scale.

We are seeking a Project Management Team Lead to lead, mentor, and scale a high-performing team of Project Managers. In this strategic role, you will transition our organization from managing individual projects to optimizing our entire Professional Services portfolio - overseeing rigorous delivery governance, balancing long-term resource capacity, and ensuring expected revenue is realized on time. Combining a sharp commercial mindset with hands-on leadership, you will serve as both a strategic pipeline builder and a critical escalation partner, turning high-stakes client challenges into profitable, long-term relationships.
Responsibilities
Lead & Scale: Mentor a high-performing PM team delivering complex, large-scale solutions across diverse market segments (from startups to global enterprises).
Remove Impediments: Act as the ultimate escalation point and catalyst for the team, proactively clearing roadblocks and driving continuous efficiency improvements.
Optimize the Pipeline: Shift the organization from managing individual projects to strategically executing the entire Professional Services portfolio.
Capacity & Revenue Planning: Balance and forecast resource capacity through to project completion to ensure expected PS revenue is realized on time.
Standardize Execution: Establish rigorous delivery governance, ensuring projects strictly adhere to scope, timeline, budget, quality, and technical requirements.
Cross-Functional Alignment: Partner internally with Sales, Customer Success, and Delivery, as well as external technology partners, to ensure seamless project and support execution.
Crisis Resolution: Step into high-stakes client escalations hands-on, using a commercial mindset to rebuild trust and protect long-term partnerships.
Reporting & Risk Mitigation: Lead project review sessions and produce regular progress reports, proactively communicating forecasted risks to internal teams and client decision-makers.

We're looking for Electrical Engineering graduates to join the Pre-Silicon Verification Team based in Haifa.

As a Junior Pre-Silicon Verification Engineer, you'll work at the heart of chip development, collaborating across teams to ensure our semiconductor platforms meet the highest standards before they reach production.
IO verification team will expose you to the most advanced technologies , as we lead the market with our leaving devices - youll soon have to expertise most advance protocols

A day in the life
In this role, you'll engage in pre-silicon verification work that connects every phase of our product development journey- from initial product definition through firmware and software development.
You'll collaborate with hardware designers, software engineers, and cross-functional teams to validate complex semiconductor architectures and protocols.
Your days might include developing and executing verification test plans, analyzing simulation results, troubleshooting design issues, and participating in design reviews.
You'll work with advanced verification methodologies and tools, gaining exposure to cutting-edge technologies that define the next generation of cloud infrastructure.

Required Senior Software Engineer (Secure Agentic AI - Be'er Sheva)
Job Summary:
Were building foundational infrastructure to secure AI agents - including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to the modern agent ecosystem.
Youll help define how agents (both machine and human-facing) authenticate, obtain scoped access, perform actions securely, and leave a verifiable audit trail.
This is a unique opportunity to be part of a start-up inside the company - building the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.
Responsibilities:
Own the design and development of secure, scalable services that enable AI agents to manage their identities, secrets, and access - directly protecting critical systems and data.
Take charge of agent authentication flows and real-time access policies, ensuring seamless, reliable just-in-time, least-privilege access.
Lead the evolution of MCPs and agentic AI, transforming innovative ideas into systems that define how intelligent agents operate at scale.
Collaborate with architects and engineers to shape and deliver high-performance platform components you can take pride in.
Write clean, maintainable, and scalable code that powers some of the worlds largest and most security-conscious companies.
Drive cross-functional efforts with platform, AI, and security teams to gather requirements, influence design decisions, and bring impactful solutions to life.

We are looking for a Staff QA Architect to join our elite team, contributing to the development of one of our strategic products for Cloud Security.
In your role, you will be responsible for developing and maintaining high-quality work procedures, leading the team to achieve better quality.
You will be involved in the full feature lifecycle - from gathering requirements with the product team to release - ensuring quality at every stage, including bug management and observability and defining QA work procedures, guidelines, and designing the entire testing process.
The ideal candidate will be responsible for leading quality activities across solution-level features, ensuring the highest standards of quality are met. This role requires a proactive individual with excellent leadership and communication skills, capable of driving quality initiatives and fostering a quality-focused mindset within the organization.
Comprehensive understanding of the product's functionality, target use cases, and the value it delivers to customers.
Lead the quality efforts across multiple interfaces with a proactive and assertive approach, serving as the key point of contact for all quality-related matters.
Define, implement, and manage QA processes, promoting a quality-driven culture and managing the quality backlog.
Define the overall testing strategy and tooling stack across integration, regression, and load/performance testing.
Drive an automation-first approach - collaborating with developers to ensure code is testable and observable.
Lead root-cause analysis for escaped bugs and define improvement actions.
Own CI quality metrics and dashboards (e.g., build stability, test flakiness, regression coverage).
Influence decisions regarding test environments, mocks, test data, and production parity.
Collaborate with the centralized quality group to ensure E2E test coverage.
Quality Point of Contact: Serve as the primary point of contact for quality-related matters concerning the unit or the cross-group feature.

We are looking for an experienced Senior DevOps & Platform Engineer to join our DevOps team and help customers modernize their software delivery platforms, cloud infrastructure, and engineering practices.
This role combines hands-on engineering, software development, platform architecture, and customer-facing consulting. You will work directly with customers to assess their development lifecycle, understand their tooling and processes, and design scalable, secure, and automated solutions that accelerate software delivery and improve developer experience.
Responsibilities:
Design, implement, and maintain cloud-native platforms across AWS, Azure, and Kubernetes environments
Implement and optimize Kubernetes platforms and cloud infrastructure solutions for enterprise customers
Build CI/CD pipelines, GitOps workflows, Infrastructure as Code solutions, and deployment automation
Develop automation, integrations, and platform services using Python, Go, and modern engineering practices
Lead customer discovery sessions, technical assessments, and workshops to understand existing development and operational processes
Interview Development, Operations, Security, and Leadership teams to identify challenges and improvement opportunities
Design target-state architectures, platform roadmaps, and implementation plans
Implement observability, monitoring, logging, and security best practices across customer environments
Deliver technical presentations, workshops, and knowledge-transfer sessions
Contribute reusable automation, documentation, and internal platform assets

We're looking for exceptional engineers to join our Signal/Power-Integrity and Packaging team. A team that sits where the Silicon meets the Board, bridging the gap between what happens internally at the DIE and the overall system interconnect and the external memories and peer devices.
What sets us apart:
Small team, yet a one stop shop for IP electrical integration at the DIE level, Package design, SI/PI simulations, Layout, Board-design and advanced lab characterization.
Combining Signal-Integrity and Layout, to come up with optimized Package and PCB designs.
Holistic view of the entire interconnect, from the DIEs metals, through the Package, to the PCB traces, and all the way to the peer device.
In-depth post-silicon characterization, using advanced measurement techniques, far exceeding traditional compliance measurements.
Deep dive mentality, in both theory and the bolts and nuts that make the internal circuitry of the electrical interfaces.

The SIP (Signal-Integrity & Packaging) team is part of Annapurna-Labs Chip development team.
The team is dealing with the external electrical interfaces of the device, from their Signal/Power-integrity and electrical usage perspectives.
The teams work includes close work with the BackEnd team on integrating these interfaces to the Die, the package layout design of the BGAs substrate, Signal and power integrity simulations, and working with the system team to come up with optimal pin-out and optimal PCB breakout schemes.
We are looking for highly motivated Electrical Engineering graduates, or engineers with up to 3 years' experience in related fields, to join our growing team specializing in Signal Integrity and IC Package Design. The position offers a unique entry point into a diverse and multidisciplinary domain.

Key job responsibilities
Work on advanced high-speed interfaces such as PCIe, DDR and Ethernet.
End-to-end solution of high-speed interfaces; from floor-planning at the DIE level, through Package and PCB routing, addressing both robust SI/PI considerations as well as optimizing layout routing.
Signal and power integrity modeling and simulation of high-speed interconnects using advanced SI/PI simulation tools.

Required Sr Product Manager- AI (Cortex XSIAM)
Job Summary:
Cortex XSIAM is the fastest-growing product in the history of cybersecurity. Being a part of XSIAMs product team provides you an unrivaled chance to work with an amazing core team, on an AI-driven security platform, and do that with the resources of the world's cybersecurity leader.
At Cortex XSIAM we challenge the status quo and create the platform and practices that redefine the cybersecurity industry as we know it.
We are currently on a mission to transform security operations. By breaking the silos between endpoint, network, and cloud, leveraging AI and combining endpoint prevention with cross-data detection, investigation and response - our platform provides the modern SOC with the most complete protection against any threat, at scale. More information about the Cortex XSIAM product can be found here(opens in new window)(opens in new window).
Key Responsibilities:
Lead cutting-edge Gen-AI capabilities in Cortex and become a subject matter expert in artificial intelligence and autonomous capabilities.
Own the entire product life cycle, from ideation through development and rollout.
Gather feedback, understand user pain points, define problem statements and prioritize feature development.
Design and develop enterprise-grade features through close collaboration with research, engineering, and UX/UI design teams.
Work closely with product enablement, marketing and sales teams to evangelize the product internally and externally, and conduct product demos and presentations to internal stakeholders and customers.
Conduct in-depth market research and competitive analysis to identify trends and opportunities for product improvement and expansion.
Define KPIs and track product performance against established goals.