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Requirements:
10+ years of product management experience in a successful startup or fast-growing company
Hands-on experience building and deploying GenAI applications and working with LLMs at scale
A proven track record of automating complex, manual processes and scaling foundational workflows
Strong ability to deconstruct and optimize intricate, multi-step systems and data-heavy user journeys
A data-driven, analytical approach - someone who turns platform metrics into meaningful product decisions
Fluent English with sharp communication skills across technical and non-technical audiences
A self-organized, process-driven approach to managing competing priorities and leading cross-functional agile teams
A genuine curiosity for new technology - you read constantly, experiment often, and love sharing what you learn
Ready to work in an office environment most days of the week

Requirements:
What should you have?
Availability to work 3 shifts a week (at least 60% position) - a minimum of two evening shifts per week.
Engineering student of Mechanical Engineering / Electrical Engineering with at least two years of studies left.
Excellent English.
Great interpersonal skills, able to work independently under pressure and tight timelines.
Great System view, ability to analyze situations and prioritize accordingly.

Advantages:
Programming capabilities.
Previous Testing experience.
Scripting capabilities.

Requirements:
Adaptability, drive, and an efficiency mindset - we believe these matter most in human-AI collaboration
15+ years in engineering leadership, including executive experience running large engineering functions
Track record delivering large-scale, multi-product platforms with measurable business impact
Deep expertise in software architecture, data systems, AI/ML workflows, security, and reliability
Strong people leadership and executive presence with proven cross-functional collaboration skills
Experience with modern engineering practices: Agile/Lean, CI/CD, cloud ecosystems, observability
Data-driven approach to decision making with focus on quantified outcomes and customer value
Educational degree in Computer Science, Engineering, or related field (or equivalent experience)
Ready to work in an office environment most days of the week

Requirements:
B.Sc. or higher in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field
8+ years of experience in systems software, distributed computing, or AI infrastructure, with 3+ years in a leadership or team lead role
Deep expertise in large-scale communication systems: collective communication, RDMA, network topology-aware routing, and bandwidth optimization
Hands-on experience building software infrastructure for distributed training on custom accelerators or heterogeneous hardware (GPU, NPU, TPU)
Strong knowledge of runtime systems: scheduling, execution graphs, kernel dispatch, synchronization primitives, and pipeline management
Experience with memory management at scale: activation checkpointing, tensor offloading, rematerialization, KV cache management
Proficiency in C/C++ and Python, with a focus on high-performance, production-quality code in Linux environments
Proven ability to define technical vision, lead multi-person projects end-to-end, and deliver results under research and engineering timelines
Excellent communication skills in English - confident presenting to international audiences, writing technical reports, and driving cross-team alignment
Strong collaborative mindset and experience working in globally distributed, multicultural teams
Ways to Stand Out From the Crowd
M.Sc. or Ph.D. in a relevant field, with a strong publication record at systems or ML venues (EuroSys, OSDI, SC, NeurIPS, MLSys, ISCA)
Hands-on experience with communication frameworks such as NCCL, MPI, HCCL, or UCX
Experience with compiler and graph optimization for AI workloads (XLA, TVM, Triton, or custom operator fusion)
Background in mixed-precision training, model parallelism (Tensor Parallelism, Pipeline Parallelism, Expert Parallelism), and large model co-design
Experience profiling and debugging performance bottlenecks on heterogeneous clusters using tools like Chrome tracing, nsight, or custom profilers

Requirements:
What You Should Have?
B.Sc. in Mechanical Engineering, or Electronics Engineering (Degree from Technion, Tel Aviv University or Ben-Gurion is an advantage).
Minimum 3 years of experience in a Verification & Validation / QA engineering role.
Familiarity with QA methodologies and test documentation best practices.
Strong system-level perspective and ability to understand, analyze, and prioritize complex scenarios.
Hands-on experience with test planning, execution, and reporting in multidisciplinary environments.
Programming experience in at least one of the following languages:
C#, Java, or Python.
Excellent communication skills in English - both written and spoken.
Ability to work independently in a fast-paced, dynamic environment, under tight deadlines.
Strong interpersonal skills and team-oriented mindset.


Advantages
Alumni of 8200 / 81 Unit or similar elite tech units.
Practical experience in testing multidisciplinary systems (mechanical, electrical, software).
Experience with Matlab and Simulink, especially in image processing contexts.
Knowledge of test automation frameworks such as AutoIt, Selenium, or
JMeter.
Background in digital printing systems or Command & Control systems.
Experience in writing test plans, specifications, and validation documentation.

Requirements:
What should you have:
B.Sc. or Engineering degree.
At least 3 years of experience as a Systems Engineer for multidisciplinary development - a must.
Experience from a printing or capital equipment company - an advantage.
Master's in systems engineering - an advantage.
Background of physical modeling - an advantage.
Experience in building systems architecture - an advantage.
Experience in motion control systems - an advantage.
Knowledge of statistical tools - an advantage.
Experience in team lead - an advantage.
Proven experience applying advanced AI capabilities in systems engineering practices- an advantage.
Familiarity with defining, evaluating, and integrating AI/ML solutions into complex, multidisciplinary systems-including translating operational requirements into practical use cases and architectures, working with LLMs (fine-tuning, RAG, model evaluation), and deploying/maintaining on-premises or private-cloud AI infrastructure (open-source LLMs, GPU environments, MLOps, and model lifecycle management)- an advantage.


Personal Skills:
Self-motivated, creative, and innovative.
Team player with Excellent communication skills.
High learning and development ability, wide systemic vision, ability to work Independently with a can-do attitude.
Able to work effectively as a part of a team in a multi-disciplinary environment and interact effectively with people with a variety of expertise.
Demonstrated ability to plan and organize assignments according to planned schedules.

Requirements:
Experience

Strong hands-on experience with REST APIs and system integrations.

Proven experience in AI/ML or software engineering with a focus on integrations and automation.

Experience building AI agents or automated workflows.

Experience with AI development frameworks and LLM-based applications.

Practical experience with RAG architecture and vector databases.

1-3 years of relevant experience.


Skills

Strong programming skills (Python preferred).

Ability to work across both technical and business domains.


Preferred Qualifications

Experience with business application and integration development.

Familiarity with Microsoft Azure (Azure AI Search, Microsoft Foundry, Logic Apps, etc.).

Understanding of business processes and enterprise systems.

Experience with workflow orchestration tools or automation platforms.

Requirements:
Experience

At least 4 years of experience in accounts payable.

Experience with accounting software - Oracle is an advantage.

Skills

Bookkeeping certificate Level 2 - a must; Level 3 - an advantage.

Strong Excel skills.

High level of organization, attention to detail, and ability to work independently.

Excellent interpersonal skills and ability to work as part of a team.

Requirements:
What should you have?
B.Sc. or higher in Mechanical or Electrical Engineering.
3-5 years in system/integration /product engineering, ideally in capital equipment or complex machinery.
Strong hands-on experience in system integration, production support, and/or field troubleshooting.
Solid understanding of multi-disciplinary systems: motion, pneumatics, sensors, control systems, and embedded software.
Experience with system calibration, functional testing.
Proven ability to lead root cause analysis and drive corrective/preventive actions.

Preferred Skills & Experience:
Background in industrial printing systems or similar complex platforms.
Familiarity with contract manufacturing environments and NPI ramp-up challenges.
Strong interpersonal skills: independent, proactive, creative, team-oriented, quick to respond, and reliable under pressure.
Excellent analytical and problem-solving skills.
Fluent in both written and verbal English.
Programming and AI skills (Python or Similar) - Strong advantage.