דרושים » הנדסה » Research Team Lead - Distributed AI Systems & Large-Scale Infrastructure

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:
You hold a Bachelor's / Master's Degree in Computer Science, Software Engineering, Information Technology or equivalent field
You bring 3+ years of hands-on software development experience
You are proficient in C++ and eager to grow across technologies
You have strong backend experience (architecture, infrastructure, networking, reliability)
Youve worked with large, complex systems and extensive codebases
You have 2+ years of formal experience leading a Scrum/software engineering team
You are familiar with Agile/SAFe practices and tools
You collaborate effectively in international, cross-functional environments
You communicate clearly in English, verbally and in writing and have excellent communication and presentation skills
You demonstrate ownership, initiative, and a strong can-do mindset
You excel in prioritization, delegation, and time management
You think systemically and simplify complex processes.

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:
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:
Bachelor degree or higher in Computer Engineering / Computer Science or equivalent
5+ years of experience in software development in Linux environment
5+ years of experience in storage / memory tiering / caching or prefetching domains
5+ years of hands-on experience in Linux kernel development / hacking / research
Proficiency in C / C++ programming language
Proven experience in Linux kernel memory management sub-system
Working in Linux kernel open-source environment
Deep system understanding and capability to enhance existing code
Open-minded team player with a can-do attitude
Fast learner, highly organized and detail-oriented, able to work on multiple deadlines in a fast-paced atmosphere
Ways to stand out from the crowd:
M.Sc. or Ph.D. degree with expertise in fields related to OS and virtualization technology
Papers and/or proven innovation in virtualization, storage/memory tiering or caching domains
2+ years of experience in optimizing applications performance
Proficiency in additional low-level programming languages
Proficiency in high-level programming languages: Python
Familiarity with Agentic-AI workloads, their characteristics and bottlenecks

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:
3-6 years of building SaaS applications, preferably in a service-oriented architecture
Bachelors Degree in Computer Science, Software Engineering, or equivalent.
Expertise in modern web development frameworks, C#, Java, or equivalent.
Experience in writing optimized SQL and working against various different datastores.
Demonstrated success with scalable web applications or messaging systems
Experience with web security is a plus.

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:
Master in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field.
Background in interconnection networks and computer architecture is a must.
Demonstrated research expertise in one or both of the following areas:
Network-on-Chip (NoC) architecture, including routing, flow control, topologies, and performance modeling
LLM parallel execution and co-design, including workload decomposition, communication-computation overlap, and mapping to high-performance interconnects
Excellent analytical, problem-solving, and system-level thinking skills.
Excellent programming skills with hands-on experience in simulator modeling, development and simulator-based evaluation.
Strong verbal and written communication skills, and the ability to work both independently and collaboratively in a cross-disciplinary team.

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.