דרושים » תוכנה » Computing Network & System Architecture Group Leader

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:
Bachelors or Masters degree in Computer Engineering, Electrical Engineering, or Computer Science.
15+ years of experience in embedded software development, including 7+ years in a senior, technical lead, or architect role.
Expert-level proficiency in C and C++, with hands-on experience in RTOS and/or Embedded Linux.
Strong system-level understanding of embedded platforms and cross-layer interactions (hardware, OS, middleware, application).
Proven ability to design modular software architectures and translate system requirements into well-defined interfaces.
Strong debugging skills and experience resolving complex system-level and cross-component issues.
Solid understanding of real-time systems, concurrency, memory management, and low-level debugging.
Experience working with ARM/MIPS-based SoCs and microcontrollers.
Proven experience leading design discussions and code reviews.
Knowledge of communication and networking protocols (I²C, SPI, UART, CAN, Ethernet, TCP/IP)- Advantages.
Familiarity with safety or regulatory standards (MISRA, ISO 26262, ASPICE) - Advantages.
Python or scripting experience for tooling and automation- Advantages.

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

Requirements:
Bachelors degree in EE / SW Engineering / Computer Science or equivalent experience
At least 2 years of managerial experience leading a technical team and at least 5 years of experience in SW-HW integration in a multidisciplinary environment
Hands-on experience with embedded Linux and multi-SoC platforms
Proven technical ability to lead resolution of complex system-level issues
Strong system-level debugging skills across software and hardware boundaries
Experience investigating complex integration issues involving networking, logging systems, drivers, and infrastructure components
Strong leadership skills, including task planning, prioritization, and team development
Excellent communication skills with the ability to present complex technical challenges with extreme clarity
Fluent in English (spoken and written)
Advantage:
Experience in the automotive industry
Experience with Vector / CANoe / Autosar
Experience with automotive validation campaigns.

Requirements:
You have a solid technical background, with at least 8 years of total industry experience, specializing in service-oriented backend development using C#.
You have managed a team before (3 years min) and have experience in growing and mentoring engineers. Experience leading a large or cross-functional team is a major advantage.
You know what it takes to build a team, you believe in agile & lean values, and you are a servant leader.
You enjoy working and collaborating with other people. You have high interpersonal skills and effortlessly build strong, collaborative relationships across teams.
You bring energy, positivity, and drive to your teams. You focus on solutions and trade-offs grounded in data and business expertise, and you bring a can-do approach.
Bachelors Degree in Computer Science, Software Engineering, or equivalent.

Requirements:
Responsibilities Technical Leadership: Lead the research, design, and implementation of state-of-the-art Computer Vision and Deep Learning algorithms tailored for EO/IR sensors. End-to-End Ownership: Oversee the full algorithmic lifecycle-from theoretical feasibility and simulation to optimized implementation on Embedded edge devices. Strategic Roadmap: Collaborate with the Head of Analytics and EVP R&D to align AI initiatives with the companys technological roadmap and market needs. Mentorship & Excellence: Cultivate a culture of algorithmic rigor, ensuring high standards of coding, documentation, and academic-level research within the team. Cross-Functional Collaboration: Work closely with Hardware, Software, and Systems Engineering teams to integrate AI capabilities into complex multidisciplinary products.
Requirements Proven Leadership: At least 3 years of experience leading technical teams in defense-tech or multidisciplinary R&D environments. Domain Expertise: Minimum 5 years of hands-on experience in Computer Vision and Deep Learning (Detection, Tracking, Segmentation, etc.). Algorithmic Foundation: Deep understanding of Classical Image Processing and computer vision algorithms - a significant advantage. Embedded AI: Proven experience in implementing and optimizing algorithms for Edge Devices (NVIDIA Jetson, DSPs, FPGAs, or similar). Education: M.Sc. in Electrical Engineering, Computer Science, or Mathematics from a leading university. PhD - a significant advantage. Strategic Vision: Ability to translate complex operational needs into robust algorithmic solutions.

Requirements:
Bachelors degree in EE / SW Engineering / Computer Science or equivalent experience
At least 2 years of managerial experience leading a technical team and at least 5 years of experience in SW-HW integration in a multidisciplinary environment
Hands-on experience with embedded Linux and multi-SoC platforms
Proven technical ability to lead resolution of complex system-level issues
Strong system-level debugging skills across software and hardware boundaries
Experience investigating complex integration issues involving networking, logging systems, drivers, and infrastructure components
Strong leadership skills, including task planning, prioritization, and team development
Excellent communication skills with the ability to present complex technical challenges with extreme clarity
Fluent in English (spoken and written)
Advantage:
Experience in the automotive industry
Experience with Vector / CANoe / Autosar
Experience with automotive validation campaigns.

Requirements:
Proven experience as a Cloud Architect, Cloud Solutions Architect, or in a similar cloud infrastructure role.
Deep understanding of cloud computing principles, microservices architectures, and serverless computing.
Expertise in at least one major cloud provider (GCP, AWS, Azure) and their core services (compute, storage, networking, databases).
Strong knowledge of containerization platforms and orchestration tools (Docker, Kubernetes).
Extensive experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation, Pulumi) and scripting languages (Python, Bash).
Solid understanding of cloud networking (VPC, VPN, routing, load balancing) and cloud security concepts.
Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
Strong problem-solving, analytical skills, and a customer-centric mindset.
Bachelors degree in Computer Science, Engineering, or a related field.
Advantage: Professional-level cloud certifications (e.g., Google Cloud Professional Cloud Architect, AWS Certified Solutions Architect - Professional).

Requirements:
Basic Qualifications
- PhD, or Masters degree and 6+ years of applied research experience in machine learning or a related field.
- 3+ years of experience managing Applied Scientists or ML Engineers
- Experience leading teams that own ML solutions end to end, including problem formulation, offline experimentation, online experimentation (A/B testing), and production deployment at scale.
- Proven track record of translating ambiguous business problems into ML solutions that delivered measurable customer or business impact.
- Experience setting scientific direction, reviewing modeling approaches, and raising the quality bar across a team.
- Hands-on experience applying modern machine learning techniques (including deep learning and/or Large Language Models) to real-world problems.
- Experience leading cross-team initiatives in ambiguous environments, including defining roadmaps and influencing partner teams.
- Strong communication skills, with the ability to influence senior leadership and drive alignment across science, engineering, and product teams.

Preferred Qualifications
- Experience with Large Language Models, including training, fine-tuning, adaptation, or large-scale inference.
- Experience in one or more of the following: Recommendation Systems, Information Retrieval, NLP, or personalization systems at scale.
- Experience with sequential recommendation, user intent or mission modeling, or behavioral modeling.

Requirements:
2+ years of experience in Technical Support or similar function
Being a committed team player that can help lead others through challenging customer issues
3 years of hands-on Linux administration experience.
3 years of hands-on Windows administration experience.
Strong understanding of networking concepts.
Strong Knowledge of Bash scripting or Python.
An extensive experience with B2B support.
Excellent English writing and communication skills with attention to detail