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Requirements:
Your Impact
Design and implement automated evaluation loops, static analysis, and rigorous quality gates to ensure the ADLC process doesn't just write code, but consistently produces great, production-ready code.
Help the team tackle complex, hard problems to elevate our autonomous development product from "good" to "excellent".
Lead complex initiatives in Context Engineering and Prompt Engineering.
Manage and orchestrate the complex ecosystem of autonomous agents utilized for internal development.
Serve as a leading individual in a very strong team professionally and personally - Were looking for someone who not only delivers his own work but improves that of those around them.
Find space for growth to push the entire team or group forward - New projects, changing processes or improving existing tools.
View prompt engineering as a core engineering discipline-where rewriting agent behavior is a versioned, reviewed, and tested code change.
Act with a debugging temperament; conduct deep-dive analyses of raw agent transcripts to diagnose non-deterministic failures and ascertain root causes instead of merely working around them.
Your Experience
At least 8+ years of experience in software development, architecture, or owning operational systems in production.
Computer Science B.Sc. or equivalent education or equivalent military experience required.
A product builder's mindset: you can extract requirements, talk to stakeholders, and tell the difference between what's important and what's noise.
Experience in building production grade agents. Deep understanding of the agent loop, its states and transitions. You know how to build it correctly, not just use it.
Positive can-do mindset, able to work independently and within a team.
Hands-on experience with LLM APIs, including a practical, highly-skeptical understanding of token costs, caching, context windows, and model failure points.
You know how to build the right context for a task, including memory systems, session storage, and vector databases.
You understand where LLMs fail and how to design around those failure points.
You've used traces or observability tooling to diagnose and improve agent behavior.
A systems-level background that touches reliability, observability, or platform engineering, with a strong preference for writing narrow, deterministic code over building hypothetical abstractions.
Experience in the cybersecurity space - an advantage.

Requirements:
Bachelor's degree or equivalent military experience.
At least 5 years of experience in Linux system-level programming.
Extensive knowledge of Linux internals, or Linux 'under the hood'.
Very strong system-programming skills in C++.
Strong debugging skills with various tools on different Linux platforms.
Proven experience with multi-threaded application development.
Preferred Qualifications
Linux kernel programming experience.
Experience with containers, Docker, or Kubernetes.
Familiarity with multiple Linux distributions (e.g., RHEL, Ubuntu).
Experience with software security and/or Linux Security modules (e.g., SecureBoot, SELinux, AppArmor).

Requirements:
Your Expereience:
6+ years of Devops engineering experience on mission-critical, enterprise-level systems in a hybrid (both cloud and on-prem) environment.
3+ years of hands-on experience with cloud environments, preferably Google Cloud Platform (GCP).
Expertise in configuration management and Infrastructure-as-Code using frameworks such as Terraform and Ansible.
Strong programming/scripting knowledge in languages like Python, Bash, or Go for infrastructure automation.
Demonstrated experience with CI/CD pipelines (e.g., GitHub, Jenkins, Artifactory) and a strong foundation in Linux/Unix administration.
Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
Preferred Qualifications
Experience with containerization and orchestration technologies, particularly Kubernetes.
Hands-on experience with monitoring and observability tools such as Datadog, Grafana, or Prometheus.
Understanding of networking principles including firewalls, load balancers, and complex network designs.
A curious and positive mindset with a passion for applied learning and challenging existing processes for continuous improvement.

Requirements:
Academic degree in Electrical Engineering or Computer Engineering Must Minimum 5 years of hands-on experience in VLSI TEST Engineering- Must Strong experience in ATE TEST development and debugging. Programming experience in C, HTML, Python Familiarity with Unix / Linux environments Experience with production TEST flows, characterization, validation, and qualification. Knowledge of DFT methodologies and production TEST concepts. Ability to work effectively in a multidisciplinary environment. Strong analytical and problem-solving skills. Excellent communication skills and ability to work independently. Advantages
* Experience with Advantest and/or Chroma ATE platforms.
* Knowledge of Shell scripting and PERL
* Experience with High-Speed SerDes testing.
* Familiarity with Load Board and Probe Card design.
* Knowledge of Wafer Sort and Final TEST methodologies. Why Join Us? Be part of a leading semiconductor company developing cutting-edge technologies. Join a highly professional team of experienced engineers. Work on advanced VLSI products from development through high-volume manufacturing. Enjoy a collaborative, innovative, and growth-oriented environment.
?Location: Migdal HaEmek, Israel Work Model: Hybrid, 3 days per week from our office in Migdal HaEmek or Herzliya

Requirements:
Bachelors degree in a related field (e.g. Business, Finance, Engineering, Information Systems) or equivalent practical experience.

5+ years of experience in implementation, onboarding, customer success, or project/program management, managing complex, multi‑stakeholder technology or financial services implementations.

4+ years of client‑facing delivery or professional services experience in a high‑paced environment (e.g. SaaS, fintech, consulting, systems integration, enterprise implementation).

Proven track record of successfully delivering cross‑functional projects with stakeholders from diverse backgrounds and job functions, including C‑level executives, technical teams, and operations.

Exceptional written and verbal communication and presentation skills, including the ability to lead steering meetings, write clear status updates, and influence decisions without direct authority.

Experience delivering ERP, accounting system, or expense platforms (e.g. Netsuite, SAP, Oracle, Xero) implementations and the associated data flows (GL, cost centres, entities, card feeds).

Requirements:
4+ years of technical support experience within B2B SaaS
Strong SQL skills and the ability to analyze real queries
Deep understanding of REST APIs, webhooks, authentication, and integrations
Experience working with logs, monitoring systems, and debugging tools
Proven ownership of high-severity incidents
Experience improving processes, building automation, or enhancing operational workflows
Comfort using AI tools within technical workflows
A systems thinking mindset that goes beyond ticket execution

Requirements:
7+ years of experience in software engineering with a strong backend or full-stack focus.
3+ years of experience as an engineering team lead in a fast-paced environment.
Strong hands-on experience with modern backend technologies and system design.
Proven experience building and maintaining scalable distributed systems or platform capabilities.
Experience working with cloud platforms (AWS or equivalent).
Solid understanding of modern frontend technologies (e.g., React, component-based architecture).
Ability to balance technical depth, people leadership, and product/platform thinking.
Excellent communication skills in English (Hebrew is a plus).
Passion for both people management and hands-on engineering.

Requirements:
Strong practical experience with LLMs and AI-assisted development.
Experience designing, building, and orchestrating autonomous agentic systems and multi-agent workflows for internal or external automation.
Experience with agents, skills, MCP servers and development, plugins, RAG, embeddings, and AI orchestration frameworks.
Ability to orchestrate complex, multi-step work across cooperating agents and tools.
Deep understanding of token economy, model selection, prompt/context design, and AI workflow optimization for cost, latency, speed, quality, accuracy, and reliability.
Deep, current knowledge of the AI tooling and coding-agent ecosystem, such as Claude Code, GitHub Copilot, Cursor, Codex, or similar.
Experience with telemetry, dashboards, and AI usage analytics.
Strong hands-on software engineering experience.
Full-stack capability: backend, APIs, automation, and basic frontend when needed.
Experience building internal tools, developer tools, automation platforms, productivity solutions, CLI tools, internal plugins, developer portals, or internal marketplaces.
Experience integrating with GitHub API, Jira API, Confluence API, and CI/CD systems.
Proficiency in TypeScript, Node.js, Python, React, or similar modern technologies.
Strong product sense and ability to translate engineering pain points into practical tools and solutions.
Ability to design, deliver, and own working solutions independently.
Comfortable working with ambiguity and rapidly evolving technologies.

Requirements:
10+ years of software engineering experience with a strong backend background.
3+ years as a Tech Lead or technical leader in fast-paced environments.
Strong AI engineering skills, including context engineering, agent optimization, troubleshooting, and systematic evaluation of AI system performance.
Excellent system design and distributed systems experience.
Strong understanding of scalable cloud architectures (AWS or equivalent).
Experience building production-grade backend services and microservices.
Excellent communication and stakeholder management skills.
Passion for solving complex technical problems.
Curiosity and excitement about AI and rapidly evolving technologies.
Ability to lead technical direction while remaining hands-on.

Requirements:
7+ years of professional experience in software engineering with a strong backend background.
3+ years of experience as a team leader, preferably in dynamic, fast-paced companies.
Excellent knowledge of software design and scalable web architecture.
Experience developing SaaS products hosted in a cloud platform like AWS or equivalent.
People person with strong leadership skills who can build a winning team.
Independent, resourceful, and proactive team player who desires to impact our team, product, and customers.
Excellent communication skills in both Hebrew and English.
Experience with developing infrastructure components - shared libraries, and foundational services.
Experience with build and CI/CD processes.
Proven experience in performance optimization.

Requirements:
Requirements
B.Sc. or M.Sc. in Electrical Engineering or a related discipline.
3+ years in IC/system product, test, or yield engineering, including deep post-silicon analytics experience.
Strong track record in data analysis and root-cause debugging at the system or silicon level.
Deep understanding of IC manufacturing, characterization, and qualification processes.
Excellent communication and interpersonal skills - especially in customer-facing situations.
Strong organizational and prioritization skills with a results-oriented mindset.
Fluency in English (written and verbal) is a must.

Preferred Qualifications
Expertise in data analytics platforms (e.g., JMP, Python, or similar).
Experience in ATE test development or digital simulation tools (e.g., HSpice, PrimeTime)- advantage.
Background in silicon lifecycle management, reliability physics, or embedded monitoring.
Familiarity with cloud platforms or ML-based analytical solutions is a plus.

Requirements:
7+ years of software engineering experience, including 3+ years in software architecture or technical leadership.
Strong experience with Kubernetes-based platforms and cloud-native architecture.
Deep understanding of Gen AI/LLM infrastructure and distributed workloads
Experience designing management software or SaaS platforms for production systems.
Strong background in distributed systems, microservices, APIs, and automation.
Hands-on experience with observability stacks, monitoring, logging, alerting, and SLA/SLO tracking.
Experience with CI/CD, deployment automation, upgrades, and rollback mechanisms.
Good understanding of security, authentication, authorization, and integration with customer data center environments.

Requirements:
Requirements
B.Sc. in Electrical Engineering - MUST.
5+ years experience in algorithm development, preferably in complex, data-intensive environments.
Deep expertise in Python, including statistical and machine learning packages.
Proven experience across all algorithm development phases: research, implementation, testing, deployment, and debugging Familiarity with testing frameworks (e.g., unit tests, E2E tests, performance and memory profiling)
Intensive usage of AI coding tools like Cursor or equivalent (e.g., GitHub Copilot, CodeWhisperer).

Advantage:
M.Sc. or higher in Electrical Engineering, Computer Science, or a related field
Prior experience with:
HW/SW integration or ATE/Chip testing.
Version control systems (e.g., Git) and CI/CD tools.
Distributed compute frameworks (e.g., Spark, MLRun).
Containerization and cloud orchestration (e.g., Kubernetes, cloud APIs).
Business intelligence tools (e.g., Tableau or equivalent).
AI platforms and agents that interface with model training, data annotation, performance monitoring, or autonomous debugging.
Familiarity with chip production or design methodologies.

Requirements:
Minimum 5 years of experience as a Software Engineer, with strong software engineering and system design skills.
Programming experience in Go and Python
Hands-on experience with the Kubernetes ecosystem, including Operators, service meshes, GitOps, Gateway API, and OpenTelemetry
Experience with cloud platforms
Strong understanding of optimization algorithms and performance engineering
Ability to independently drive technical initiatives from concept to production
Strong systems thinking and debugging skills
Comfort operating in environments with high autonomy and responsibility