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Requirements:
MSc / PhD in Computer Science, ML, Statistics, EE, Mathematics, or a related quantitative field
5+ years in data science / machine learning (required) - including deep neural networks, gradient-boosted trees and classical ML, NLP, and time-series analysis
2+ years hands-on with LLMs / SLMs in applied or production settings (required)
Strong SQL skills, with a track record of data analysis and feature extraction
Production-quality coding, testing, and CI/CD - and fluency coding with an AI agent (Claude Code / Cursor / Codex)
Proven people-leadership: you've managed data scientists / ML engineers and are ready to build and lead the data team as we scale
Fluency working with large, noisy, real-world data
A self-starter who thrives with ambiguity and moves fast in a startup environment
A player-coach mindset: happy to go deep hands-on today and grow a team tomorrow
Preferred / Nice to Have:
Domain experience in supply chain, logistics, or hardware-adjacent software
Registered patents or scientific publication

Requirements:
* Bachelor's degree in Mechanical Engineering or a related field.
* Minimum of 8 years of experience in mechanical engineering design and development.
* Proven experience with CAD software such as SolidWorks, AutoCAD, or similar.
* Strong understanding of material properties and manufacturing processes.
* Experience in leading projects and working with cross-functional teams.
* Excellent problem-solving skills and attention to detail.
* Effective communication skills, both written and verbal.

Requirements:
Minimum Qualifications
Bachelor's degree in CS/ CE/ EE
Proficiency in Python or similar
Failure analysis and troubleshooting with high debug capabilities
Familiar with integrating AI with testing and automation
Preferred Qualifications
Experience with Object-Oriented Programming- Advantage
Experience in tool development for testing environments - Advantage
Experience in working with databases - Advantage.

Requirements:
Basic requirements BSc / MSc in Electrical Engineering.
2-5 years of hands-on experience in analog or mixed-signal VLSI design (industry or advanced academic work).
Basic understanding of analog design fundamentals: gain, bandwidth, noise, stability, matching, PVT effects.
Experience reading and working from specification documents.
Familiarity with analog simulation and schematic tools (e.g., Cadence Virtuoso / ADE / Spectre).
Ability to work well in a team-oriented, multidisciplinary environment Good written and spoken English.
Advantages:
Experience with image sensors, ROICs, or custom mixed-signal ASICs. Design experience with one or more of the following:
o Analog front-ends, amplifiers, bias circuits.
o ADCs or data converters o Low-noise and/or low-power analog design. Exposure to silicon bring-up and lab validation.
Strong motivation to learn, take responsibility, and grow as an analog designer.
Location: Near Karmiel.

Requirements:
* Minimum of 2-3 years of Hands-on experience in complex hardware debugging across a wide range of Platforms, including enterprise servers, BMC, PCIe, IPMI, SAS/SATA/NVMe SSDs, JBODs, Ethernet cards, PDUs, UPSs, and other related components
* Bachelor’s degree in Electrical Engineering, Computer Engineering, or an equivalent field -MUST
* Experience in scripting and automation using Bash and Python- MUST!
* Experience with Linux-based environments, system-level tools, logs, kernel interfaces, drivers, and debugging workflows
* Solid understanding of electrical engineering and computer networking concepts
* Hands-on problem solver with a demonstrated “ownership” mindset, able to operate effectively both independently and within cross-functional teams.
* Experience working with large-scale complex hardware enterprise products.
* Highly organized with strong attention to detail, can prioritize and manage multiple tasks in a fast and dynamic environment
* Excellent verbal and written English communication skills
About Infinidat Infinidat’s enterprise storage portfolio provides global Fortune 500 enterprises and service providers with best-in-class solutions for primary storage, next-generation data protection, disaster recovery, business continuity, and cyber resilience. Infinidat’s acclaimed InfuzeOS is the one of the most flexible and complete enterprise software-defined storage architectures in the industry. We recently announced powerful enhancements, an extensive expansion, and the dynamic evolution of our award-winning G4 enterprise cyber and AI storage solutions! Not only did Infinidat win over 40 awards in 2025 , but was named a Gartner® Peer Insights™ Voice of the Customer Award for Primary Storage for the 7th time!

Requirements:
* 3+ years of hands-on Python development with a strong understanding of best practices and software design principles
* Experience with a Python web framework - Django, Flask or FastAPI
* Strong fundamentals with the ability to read, debug, and pick up unfamiliar languages and codebases independently
* Comfortable working in Linux environments, including shell scripting, system operations, and troubleshooting
* Strong analytical, problem-solving, and organizational skills
* Clear communication and collaboration skills - this role works closely with non-technical stakeholders
* Hands-on experience with AI-assisted development tools (Claude Code, Copilot, Cursor, or similar) Preferred Qualifications
* Experience with Go, or a strong interest in picking it up
* Hands-on familiarity with Kubernetes - deployments, services, and troubleshooting (EKS experience a plus)
* Familiarity with frontend development frameworks, specifically NextJS or other React based frameworks
* Cloud environment experience, with AWS being a strong advantage
* Knowledge of system-level topics such as storage and networking
About Infinidat Infinidat’s enterprise storage portfolio provides global Fortune 500 enterprises and service providers with best-in-class solutions for primary storage, next-generation data protection, disaster recovery, business continuity, and cyber resilience. Infinidat’s acclaimed InfuzeOS is the one of the most flexible and complete enterprise software-defined storage architectures in the industry. We recently announced powerful enhancements, an extensive expansion, and the dynamic evolution of our award-winning G4 enterprise cyber and AI storage solutions! Not only did Infinidat win over 40 awards in 2025 , but was named a Gartner® Peer Insights™ Voice of the Customer Award for Primary Storage for the 7th time!

Requirements:
2+ years of hands-on experience in application penetration testing.
Strong understanding of OWASP Top 10 and CWE Top 25, with proven experience identifying vulnerabilities and supporting practical remediation strategies.
Familiarity with high-level programming languages (Java, JS, Python, etc.).
Relevant App PT training and certifications such as EWPTX, OSWE, etc.
Strong English communication skills, with the ability to communicate technical topics clearly in client-facing discussions.
Advantage: Deep understanding of the LLM Top 10, AI security risks, MCP security risks, and AI/LLM hacking techniques.
Advantage: Proven experience in secure code review or high-level code auditing.
Advantage: Knowledge of Secure SDLC practices, and methodologies, including Microsoft SDL, OWASP SAMM, and OWASP ASVS.

Requirements:
Professional Experience: 3+ years of experience in dedicated AI development (LLMs, agentic workflows, RAG).
Senior Engineering Track: Alternatively, we value 7+ years of Senior Software Engineering experience combined with at least 1 year of deep AI development.
Education: A Bachelors or Masters degree in Computer Science or Electrical Engineering is a major bonus.
Technical Mastery: Deep proficiency in Python and the modern AI stack, with the ability to architect systems that require high reliability.

Requirements:
10+ years in enterprise cybersecurity sales, with 5+ in a leadership role carrying global/regional numbers.
Startup experience - including as a first or early sales leader who built a motion from (close to) zero, not only inherited one.
Demonstrated ownership of a business line, region, or P&L, with a track record of consistently exceeding targets.
Deep domain knowledge across several of: AI security, API security, AI agent security, Physical AI, XDR, and cloud security.
Experience selling into large enterprises with long, complex sales cycles across various verticals including financial services, healthcare, telecom, technology, energy, and industrial.
Proven success selling complex opportunities utilizing MEDDPICC and other sales methodologies, high-ARR solutions to large global enterprises.
Proven experience in multi-stakeholder deals involving CISOs, security architecture, business owners, procurement, and legal.
Strong technical depth - able to run pre-sales conversations independently: architecture, integration, POV scoping, and security review.
Genuinely hands-on - comfortable building the pipeline, the deck, and the business case yourself.
Advantage: Familiarity with emerging AI security frameworks and standards (OWASP Top 10 for API, MCP, LLM, MITRE, NIST AI RMF, EU AI Act, CRA, and more).
Experience working with partner and channel motions alongside direct sales.
Prior experience as a solutions engineer or in a technical role earlier in your career.
Fluent English; based in Israel, working from our Herzliya HQ.
Global mindset with willingness to travel extensively (est. 40-50%).