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At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. We are looking for a Tech Lead to join our System Validation & Verification team - someone who combines deep hands-on automation expertise with the leadership skills to drive technical direction, mentor engineers, and own end-to-end quality strategy for a complex, enterprise-grade distributed storage system. This role is centered on test design and development - the ideal candidate is someone whose craft is writing and owning tests for complex product features, and elevating a team to do the same at a high level. If you thrive at the intersection of architecture, code, and quality - and get energized by the challenge of making large-scale systems provably correct - this role is for you.

Responsibilities:

* Lead the technical direction of the automation group: define best practices, set coding standards, and guide architectural decisions for testing methodologies and new feature implementations
* Remain hands-on: actively write, review, and contribute to test code alongside the team, leading by example rather than by title
* Design detailed test plans for new features, and review and approve implementation designs proposed by team members for how those features will be tested
* Engage with R&D and Product from the earliest stages of feature development, providing input on testability, edge cases, and quality requirements before implementation begins
* Design and own test strategies for large, cross-cutting features involving multiple services and components working together
* Mentor and grow team members, conducting code reviews and elevating the team's engineering quality
* Work closely with development, product, and architecture teams to influence design decisions from a quality and testability standpoint
* Drive root cause investigations of complex, hard-to-reproduce issues - race conditions, timing-sensitive failures, and problems that only surface at scale
* Own release sign-off decisions - you'll have the authority to say "not good enough"
* Identify gaps in test coverage across service boundaries and drive initiatives to close them

We Are KPMG Israel KPMG Israel is more than a professional services firm, we are a community of people driven by impact. As part of a leading global network, we partner with the most influential organizations to drive large-scale business and technology transformation, combining strategic thinking, innovation, and advanced technologies. Guided by integrity, excellence, and forward thinking, we help organizations navigate complexity and create real change. Our people are at the center, with space to lead, experiment, and grow in a dynamic and collaborative environment that connects personal development with meaningful impact on the future of business and society We are looking for a passionate Elastic Engineer to join a dynamic, data-driven environment. This is a hands-on role focused on building advanced monitoring and cybersecurity solutions, working with large-scale data, and partnering with clients to deliver impactful insights and detection capabilities. Role Responsibilities
* Ongoing operation and maintenance of enterprise Elastic environments.
* Monitoring, alerting, and system management.
* Integration with other cloud and platform services.
* Load and performance testing.
* Design and implementation of Kafka-based ingestion pipelines into Elastic.
* Continuous improvement, stabilization, and optimization of the Elastic platform.

Required PreSales Solution Engineer
Description
About us
Come shape the future of privacy & AI governance.
Were building a new way to make it work - autonomous, continuous, and aligned with how modern businesses actually operate.
About you:
You are a solution-oriented sales professional with expertise in presales, software development, and crafting business solutions. A process-driven builder, you thrive on exploring solution development methodologies to deliver optimal results for clients.
You will:
Operate consultative with prospects and existing customers to define their challenges and opportunities. Map these challenges to the ecosystem by presenting differentiating and sustainable business value.
Full ownership to the success of customer PoC/Pilots through effective management of acceptance criteria and issue escalation/resolution. Run Security Questionnaires with prospects, and master the ability to demo vendor risk assessments.
Educate and become a trusted advisor and challenge assumptions and current status while delivering value to prospects and customers.
Present art of the possible and think outside the box approaches to implement privacy solutions.
Support technical and business discovery activities including workshops, and demonstrations, across multiple opportunities
Work closely with the sales team on account strategy and identifying additional opportunities in existing and new accounts.
Develop and deliver exceptional and engaging company/product presentations and demonstrations.
Work with all technical levels.
Be the technical product expert and advisor for customers and stay up-to-date on the data solutions competitive landscape.
Partner with Product Management and Engineering to provide feedback from the field and represent the customer perspective.
Identify and write internal and external technical collateral, like typical deployment architectures or best practices and industry standards.
Collaborate with the marketing team to generate demos, case studies, blogs, and videos.
Maintain a knowledge hub or repository of best practices, resources, and insights (API docs, code examples).

Required Enterprise Account Executive (TLV)
Description
About us
Come shape the future of privacy & AI governance.
Were building a new way to make it work - autonomous, continuous, and aligned with how modern businesses actually operate.
About you:
You are an ambitious, data-driven Individual Contributor (IC) with a proven track record of navigating complex, mid-market to enterprise B2B sales cycles within a fast-paced startup ecosystem. You possess a high EQ, a hunger for continuous learning, and a consultative sales approach that allows you to easily connect with C-suite and senior compliance executives.
You will:
Drive Revenue: Own the entire end-to-end enterprise sales cycle, from aggressive prospecting, cold outreach, and networking to managing complex negotiations and closing high-value deals.
Cultivate Relationships: Build and maintain lasting partnerships with senior executives by deeply understanding their privacy pain points and mapping them to our solutions.
Leverage Insights: Apply a data-driven, KPI-focused approach to analyze territory trends, identify growth opportunities, and forecast accurately.
Collaborate Cross-Functionally: Coordinate internal technical and legal resources to expedite complex sales workflows and ensure seamless customer onboarding.
Represent the Brand: Participate in internal strategy brainstorming, client workshops, and industry events, actively illustrating the business value of proactive data governance.

Required Post Sales Solution Engineer
Description
We are building the future of data privacy. Were an AI-powered privacy and security platform helping hundreds of organizations scale their compliance programs, reduce risk, and move faster with confidence.
We've been ranked 4th on the of the best startups to work for! Duns 100 Rankings. Our customers range from big startups to some of the most famous brands in the world. We are headquartered in Tel Aviv, voted numerous times as the best place to work at, and were a Series B company backed by Googles AI Fund, Battery Ventures, PayPal Ventures, and more. With over $40M in funding, were growing fast, leading the market in customer satisfaction, and helping privacy, security, and legal teams turn compliance into a competitive advantage.
You will:
You are a solution-oriented professional with expertise in post-sales, software development, and crafting business solutions. A process-driven builder, you thrive on exploring solution development methodologies to deliver optimal results for clients
Responsibilities:
Support the Sales team with technical content and call support.
Work with prospects during technical POCs to achieve success.
Design and implement privacy solutions to automate the real-world customer pains.
Maintain a knowledge hub or repository of best practices, resources, and insights (API docs, code examples)
Collaborate with the marketing team to generate demos, case studies, blogs, and videos.
Customer Success Orientation:
Proactive approach to identifying opportunities to deliver value to other customers
Ability to explain complex technical concepts to non-technical audiance.

Imagine what you could do here. , new ideas have a way of becoming extraordinary products very quickly. Do you want to bring passion and dedication to your job? There's no telling what you could accomplish at Apple. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices - strengthening our dedication to leave the world better than we found it. Do you want to join us to help deliver the next groundbreaking Apple products?

As a member of our CAD team, you will architect, develop, maintain and improve physical design verification (PDV) flows. The role requires you to work on flow and run-set development for various technology nodes and tool sets. Working alongside the CAD team, you will be collaborating with the custom digital/analog/mixed-signal design, physical design (PD) and chip integration teams. You will need to have a deep understanding of design rule checks (DRC) and layout versus schematic (LVS) runsets, writing from scratch and/or modify existing ones. Also, you should have worked with Dummy Metal Fill generation and Design for Manufacturability (DFM) rules at different technologies.
Responsibilities
Develop, improve and maintain all aspects of physical verification flow and methodology
Coordinate the effort of validating flows, improving for custom checks and data generation
Work with the design and PD teams to facilitate the chip design process
Code custom PDV rule decks such as Electrical rule checks (ERC) and Programmable ERCs
Collaborate with tool vendors and foundries for PDK performance enhancements

We are looking for a software engineer with strong backend skills, a product mindset, and the curiosity to bring LLM-powered agents into the toolchains and Linux environments where chips are actually designed. Success in this role means owning the agentic infrastructure end-to-end: from the platform our agents run on, to the integrations that let them safely act inside our customers' existing flows.
Description
You will join a growing team of ML and software engineers building GenAI solutions for chip design teams. In this role, you will:

* Architect, build, and operate the agentic infrastructure our team relies on:including LLM orchestration, tool-calling layers, multi-agent workflows, and the services that host them.
* Design and implement software solutions for chip design engineers, translating their workflows into reliable, automated agent-driven systems.
* Integrate our agents and services with existing Linux-based environments, in-house tools developed by the team, and third-party EDA tools.
* Manage agentic and ML workflows in production to ensure performance, high availability, and resource efficiency.
* Deploy and maintain production services, with proactive monitoring to catch quality and infrastructure regressions before they reach users.
* Build automated evaluation frameworks to measure retrieval quality, agent execution, and LLM output accuracy across releases.
* Partner with CAD teams to integrate pipelines and agents into CI/CD, ensuring reliable deployments and safe rollbacks.
* Implement access controls, authentication, and secret-handling practices appropriate for working with sensitive design data.
* Collaborate closely with ML engineers, researchers, and our customer teams.

As a Silicon Validation/Emulation Design Engineer, you will work in a team developing Wireless SoCs with custom hardware accelerators, as well as multiple ARM-based sub-systems. You will be a key contributor in our pre-silicon hardware validation efforts using Cadence Palladium emulation platforms, enabling early system integration and hardware validation. You will work closely with SoC architects, RTL designers, and verification engineers to ensure our designs are thoroughly validated before tape-out. You will help define the processes, methods, and tools for emulation environment development and debug of large complex SoCs.
If you enjoy a fast-paced and ambitious environment, collaborating with people across different functional areas, and thriving during crisis times, we encourage you to apply and join us!
Description
Building and maintaining Palladium emulation environments, including compile flows, netlist preparation, memory modeling, and clock/reset configurations.
System-level debug and root cause analysis of complex hardware issues on the emulation platform.
IP-level debug and validation, working closely with IP owners to isolate and resolve design issues.
Development and implementation of automation aids, flows, and scripts to improve Palladium build efficiency, debug turnaround, and platform utilization.
Performance profiling and optimization of emulation models to maximize execution speed.
Collaboration with multi-disciplinary groups to make sure emulation deliverables are on schedule and support critical program milestones.
Responsibilities
Own and maintain Palladium emulation build flows for SoC and subsystem-level models
Drive debug and triage of emulation model issues, working with RTL designers and verification engineers
Support system-level hardware validation efforts and hardware integration
Develop reusable debug methodologies and collateral to accelerate issue resolution
Optimize emulation model performance through compile tuning, partitioning strategies, and platform configuration
Thoroughly document flows, debug procedures, and best practices
Collaborate with cross-functional teams to define emulation requirements and support prototype hardware validation

We are looking for an AI Tech Lead to join our M&T engineering organization - the team behind a live, high-availability TV platform serving telecom and media companies worldwide at 99.995% SLA on AWS.
Were not looking for someone who talks about AI strategy. Were looking for someone who picks up a real problem, finds where AI creates a step-change, and makes it happen.
This is an individual contributor role reporting directly to the VP R&D. Youll be embedded in M&T but will work closely with engineering teams across our R&D - contributing your AI expertise to shared initiatives, building collaborative relationships, and helping move technical work forward together.
If youre the kind of engineer who gets restless when theres a better way and no one is building it yet - this role is for you.
The day-to-day:
Lead AI-driven initiatives across M&T engineering - from scoping and architecture through hands-on execution
Drive adoption of AI tooling and practices across Dev and DevOps teams, both within M&T and cross-org
Identify opportunities where AI can improve engineering velocity, incident response, cost efficiency, and system reliability. Work across teams and departments - align stakeholders, unblock dependencies, and keep initiatives moving
Collaborate with group managers and engineers to translate AI capabilities into practical, production-grade solutions
Stay ahead of the curve: evaluate emerging AI tools, frameworks, and approaches and bring the relevant ones in
The perks:
Hybrid, flexible work environment
Extended private health (including mental) insurance
Personal and professional development programs
Occasional Cross company long weekends.

Required Senior Software Engineer
What Senior Software Engineers do:
In this key engineering role in one of our multidisciplinary product teams, you will take end-to-end ownership of the engineering discipline and tasks that will bring the most impact and joy to millions of learners. All this while quickly learning and adapting to do whatever it takes to solve the unsolvable.

Required Senior AI Research Engineer
What Senior AI Research Engineers do:
Senior AI Research Engineers develop algorithmic solutions that power new innovative features and continuously improve existing ones, with a strong emphasis on training AI / ML models as a core part of the role. The work spans a wide range of domains - from training generative AI and LLM-based models to create musical content at scale, through building deep learning computer vision models that enhance user drawings, to developing real-time audio ML models for music transcription that elevate feedback.
You will take full end-to-end ownership of cutting-edge algorithms and AI models - leading the process from ideation and research, through development, to production-grade implementation and engineering within our products. This includes not only designing and building AI models, but also ensuring robust, efficient, and scalable integration into the app - directly shaping the experience of millions of users.

You will be part of the DevEx team which is in charge of significantly improving the productivity, efficiency, and satisfaction of developers across the organization. You will take a leading role in the team, build easy-to-use platforms, lead wide-impact projects, mentor team members, developers and keep innovating with new tools, workflows, deep dives and adHoc POCs. This role requires a blend of deep hands-on technical expertise, strategic vision and mentoring skills to drive the team to excellence in a culture of developer-centric workplace.



Key Responsibilities:

Lead Initiatives: Own the design and delivery of high-impact developer platforms, CI/CD evolution, AI tooling and more, from ideation through production rollout and adoption.
Drive Excellence: Set a high bar for system design, code quality, scalability, and reliability across platforms. Act as the go-to expert for complex technical challenges.
Hands-on: Design and build scalable, self-service developer platforms, with strong focus on usability, performance, observability and cost efficiency.
Mentorship and Guidance: Mentor engineers through design reviews, pair programming and knowledge sharing. Elevate the technical capabilities of the team.
Cross-Team Focal Point: Collaborate closely with stakeholders and infra teams to influence architecture, improve client experience and ensure solutions are widely adopted.
Lead by Example: Demonstrate strong ownership, execution speed and high-quality delivery standards in day-to-day work.

As the Director of AI Enablement, you will be a key executive leader, visionary, and the driving force behind the adoption and integration of cutting-edge AI technologies across Skai. Your mission is to head an engineering and innovation group that keeps the company at the absolute forefront of the AI revolution, systematically leveraging GenAI, automation, and agentic workflows to radically accelerate our organizational velocity and capabilities.

We are looking for an experienced group manager, someone with an entrepreneurial spirit, a bold vision, and the executive leadership skills to drive AI-stack change. Leading a talented group of engineering specialists, you will act as our chief scout and architect for internal AI innovation. You will evaluate emerging AI tools in the market, discover what truly works, listen closely to our employees' workflows, and lead the end-to-end implementation of AI solutions that redefine how Skai operates.

As part of your work you will be responsible for:

Group Leadership & People Management: Direct, mentor, and scale a high-performing group (including pod leads and specialists), fostering innovation and execution excellence.
Drive Skais AI Strategy & Vision: Define the high-level roadmap to embed GenAI and advanced AI tooling into our day-to-day operations and ecosystems.
Entrepreneurial Project Execution: Act as a "builder" - conceptualizing raw ideas into concrete AI projects and pushing them from fast PoCs to full operational deployment. Continuously research global AI tools and autonomous agent frameworks.
Listen to Our Teams & Identify Needs: Partner with internal teams to understand workflows and bottlenecks, turning feedback into actionable AI initiatives that boost efficiency.
Cross-Functional & Matrix Leadership: Drive AI adoption and cultural transformation by building alignment across R&D, Product, Operations, and Business units.

We're looking for a Technical Operations Engineer responsible for the operation of production environments, including systems and databases, supporting critical business operations. You will perform administration and analysis for multiple production environments and learn new and novel solutions to improve availability, performance, and supportability.
This is an opportunity to gain a combination of technical, administration, and analysis knowledge of our Cloud Infrastructure and provide escalation support to a wide range of complex production environment problems related to immense growth, scaling, leveraging the cloud, extremely high performance, and high availability requirements.
Performs regular administration and conducts basic performance trend analyses and server capacity. Performs system configurations and backups with minimal guidance. As assigned, implements monthly, quarterly, or hotfix patches to address security vulnerabilities or bugs. Resolves standard customer system issues and implements and documents technical solutions.
Responsibilities
Install, monitor, maintain, support, and optimize all production server hardware and software.
Provide escalated technical support for complex technical issues which may include leading problem management cases and providing management status.
Coordinate escalated support cases and lead appropriate internal technical resources and/or third-party vendors to resolution and coordinate a storage infrastructure of our system and database appliances.
Responsible for our production environments; assist with server operating system and application upgrades, bug fixes, and patching; and work on standardization projects for both hardware and software under the technology stack while providing consistent system uptime as expected in a Cloud environment.
Provide on-call support on a rotating basis.