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Requirements:
2+ years of experience working in a production data center environment.
Experience supporting GPU-based servers or high-performance computing (HPC) environments - advantage.
Familiarity with GPU technologies, hardware architectures, and accelerated computing platforms - advantage.
Willingness to travel abroad 4-5 times a year for maintenance work during weekends.
Excellent analytical and problem-solving skills with strong attention to detail.
Fluent written and spoken English at a professional level.
Good Linux knowledge for troubleshooting server and hardware-related issues.
Hands-on experience with IT infrastructure hardware support (e.g., servers, HDDs/SSDs, hardware replacement, etc.).
Experience with DC monitoring and infrastructure management tools - advantage.
Comfortable working in hands-on environments, including lifting and racking equipment.

Requirements:
B.Sc. with honors in CS/EE/Math/Physics, or a related field from a top-tier university
5+ years of hands-on experience building and deploying large-scale deep learning systems in production
Preferred Qualifications :
M.Sc. or Ph.D. in a relevant quantitative field - Advantage
Proficiency in Python/C/C++
Deep, working knowledge of PyTorch internals
Strong experience in several of the following areas:
Performance profiling and optimization of deep learning workloads
Orchestrating and optimizing large-scale distributed training (hundreds to thousands of GPUs)
Optimizing model serving and inference pipelines (quantization, distillation, compilation, memory optimization, etc.)
Training and scaling state-of-the-art vision, language, or diffusion models
Implementing custom CUDA/Triton kernels

Requirements:
What You Will Bring
6+ years of experience in Data Science or Machine Learning roles.
At least 2+ years of managerial experience leading a team of 4 Data Scientists or more. .
Proven experience delivering AI/ML solutions to production in a SaaS or product environment.
Strong expertise in machine learning frameworks such as PyTorch, TensorFlow, XGBoost, or similar.
Advanced SQL skills and experience working with large datasets.
Experience working in cross-functional environments with Product and Engineering teams.
Strong communication skills in English and Hebrew.
Bachelors degree in Computer Science, Engineering, data science related degree or related fields (Masters degree is an advantage).

Requirements:
At least 5 years of hands-on experience with networking and routing protocols such as, TCP/IP, UDP, Multicast, OSPF, BGP, etc.
Expert knowledge in the operation of Ethernet LAN switching protocols and standards
Deep Understanding of Next Generation Firewall deployments
Understanding of Zero Trust technologies
Understanding and experience with NetOps tools and Best Practices.
Familiarity with IaaC and GitOps deployment methods
Experience in planning and designing projects and analyzing existing network systems and procedures for efficiency and effectiveness
Ability to analyze network packet traces
Excellent communication skills and team player.
Advantage:
Experience with AWS Network Services and Topologies
Experience with Network observability systems.
Knowledge with InfiniBand/High performance networks deployment.
CCNP, JNCIS/P - preferred

Requirements:
7+ years of experience as a Backend Developer / Data Engineer / ML Engineer.
3+ years in a technical leadership role.
Python (Java as an advantage).
Bachelors degree in Computer Science or related STEM field (Masters preferred).
Proven track record of building and deploying AI-based solutions at scale.
Deep expertise with LLMs and ML frameworks (e.g., LangChain, LangGraph, Hugging Face, TensorFlow, PyTorch).
Strong background in system design, cloud-native architecture, and microservices.
Experience with NoSQL and real-time data processing pipelines.
Exceptional leadership, mentorship, and communication skills.
Strategic mindset with the ability to balance hands-on coding and team leadership.

Requirements:
Masters or PhD in Computer Science, Physics, EE, Mathematics, Statistics, or a related field.
5+ Years of experience of ML research/Deep Learning etc.
Experience with software engineering in Python (must) , C++/Rust is a plus.
Strong statistical analysis and mathematical skill.
A great team player eager to share/learn/teach other team members.
Creative, self-motivated, love complex problems, determined.

Requirements:
B.Sc. in Computer Engineering or Computer Science (preferably cum laude, from a leading university)
5+ years of experience as a software engineer
Result oriented and experience in working on complex and large-scale systems
Passionate about code, self-motivated, fast learner, can do attitude and a great team player
Experience in working with Rust is a great advantage

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.