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

We are looking for a talented and motivated M.Sc. or Ph.D. student to join our Systems Research team and contribute to advanced research in next-generation computing systems.
In this role, you will:
Participate in research and analysis of state-of-the-art computer systems and emerging technologies.
Investigate system performance, identify bottlenecks, and explore innovative approaches for improving system efficiency, scalability, and performance.
Develop and evaluate Proof-of-Concepts (PoCs) for end-to-end systems and novel architectures for data centers, including AI, Cloud, Storage, Big Data, and distributed computing.
Gain hands-on experience in implementing, testing, benchmarking, and validating new system concepts and architectures.
Work closely with experienced researchers, architects, and engineers on advanced research and development projects.
Explore recent academic research and emerging technologies, identify new research opportunities, and contribute ideas and insights to ongoing research activities.

We are looking for an experienced Software Team Leader to build and lead a new team focused on AI and agent technologies for enterprise data platforms.
This is a hands-on leadership role. The Team Leader will define the technical direction, build the first solutions, recruit engineers, and turn new AI ideas into production systems.
The main focus is AI agents, RAG, natural-language interaction, model integration, and intelligent workflows. Database technologies are an important foundation, but not the center of the role.
Responsibilities:
Lead a new software engineering team.
Define the AI architecture, roadmap, and technical priorities.
Build AI agents that reason, use tools, and execute multi-step workflows.
Develop agent orchestration, state management, and workflow execution.
Build agent workflows for data analysis, automation, and decision support.
Integrate LLMs, embedding models, and model-serving platforms.
Develop tool and API integration for AI agents, including MCP where relevant.
Optimize AI systems for latency, throughput, cost, and scale.
Move successful prototypes into production-grade software.
Work closely with data, database, infrastructure, cloud, and product teams.
Key Technical Areas:
AI agents and agentic workflows
LLMs and Small Language Models
RAG and semantic retrieval
Embeddings, vector search, and reranking
Tool calling and workflow orchestration
MCP and enterprise tool integration
Enterprise data agents, enterprise data platforms and database integration.

We are looking for an experienced Tech Lead to lead a team of 3-5 software engineers developing innovative database security and data protection solutions for enterprise platforms.
This is a hands-on technical leadership role focused on cybersecurity, data security, and advanced software engineering. The successful candidate will combine deep security expertise with strong software architecture skills to define technical direction, lead engineering execution, mentor developers, and build enterprise-grade security solutions.
The role requires strong technical ownership, the ability to solve complex security challenges, and close collaboration with security researchers, product teams, customers, and engineering organizations. Occasional travel may be required for technical discussions and customer engagements.
Responsibilities:
Lead and mentor a team of 3-5 software engineers, providing technical guidance and driving engineering excellence.
Define software architecture, technical strategy, and development direction for database security products.
Design and develop advanced cybersecurity and data security solutions for enterprise environments.
Lead security architecture discussions, technical design reviews, and code reviews.
Translate complex security requirements and research concepts into practical, scalable software solutions.
Drive secure software development practices across architecture, design, implementation, and deployment.
Solve complex technical challenges related to security, reliability, scalability, and performance.
Collaborate with security researchers, product management, and cross-functional engineering teams.
Participate in customer-facing technical discussions and occasional international travel.
Remain hands-on and contribute to critical software components and technical decisions.

Required Research Intern: Next-generation Computer Architecture for Racks and SuperPods
Responsibilities:
The research focuses on designing next-generation rack and SuperPod architectures that combine elasticity through resource pooling with optimal performance enabled by holistic co-design across applications, parallel programming models, interconnect fabrics, and compute, memory, and switch chip architectures. On the communication side, the work architects scalable, high-bandwidth, and low-latency scale-up fabrics across multiple chips at rack and SuperPod scale. On the memory side, it explores richer protocol semantics beyond traditional load/store operations to reduce unnecessary data movement and rethinks memory hierarchies to expose large-scale capacity with near-local latency. On the compute side, it analyzes the requirements of General Compute and Generative AI workloads and their parallel programming models to fully leverage large-scale system resources.
Investigate and prototype new architectural features, including but not limited to:
o Tiered Memory: Explore advanced memory organizations, including hardware-managed caching, to enable software-transparent, fine-grained promotion and demotion of cache lines across the memory hierarchy.
o Prefetching/Speculation: Evaluate and design existing and next-generation hardware prefetching and speculation mechanisms to effectively hide local and remote memory latencies at rack and SuperPod scale.
o Near-Memory/Network Processing: Develop support for key primitives executed at the memory and network layers to minimize unnecessary data movement across sparse, dense, and pointer-based data structures.
o Workload-Centric Co-Design: Study optimal parallelization strategies at rack and SuperPod scale for both General Compute and Generative AI workloads, and design dedicated hardware support for widely used parallel programming primitives such as RPCs and collective communication.
Write reports and papers on the research results and present them.

Required HW Architect team leader
About the Group
We are a highly experienced architecture group specializing in switch processing, with deep expertise in both hardware and software architecture in the high-speed networking domain.
Our innovative packet processors power some of the most advanced data centers in the world and are designed into tier-1 vendor platforms. With state-of-the-art technology, a strong track record of industry recognition, and multiple award-winning achievements, we continuously push the boundaries of performance and scalability.
Our group is involved across the entire development lifecycle - from early research and architectural definition to silicon production - working on both research initiatives and production-grade products.
our Impact:
As HW Architect Team Leader, you will combine deep technical leadership with people leadership. You will shape next-generation networking silicon while building and mentoring a strong architecture team.
What Youll Be Doing:
Lead, manage, and mentor a team of HW architects, fostering technical excellence and innovation.
Drive research, evaluation, and architectural definition of next-generation SoCs - from product requirements through production.
Define next-generation Packet Processor / Datapath / Congestion Management architectures for high-performance, complex SoC Ethernet and NIC switches.
Lead system architecture and detailed micro-architecture definition across major functional blocks.
Collaborate cross-functionally with design, verification, modeling, software, and other architecture teams to ensure end-to-end system alignment.
Identify and evaluate new technologies, methodologies, and architectural approaches for future products.
Provide technical direction, make key architectural trade-offs, and ensure execution excellence.

we are an agile defense-tech startup tackling the most complex challenges in counter-drone and unscrewed defense. With hundreds of combat-proven systems deployed by the IDF and global partners, we are now engineering the next generation of C-UxS (Counter-Uncrewed Systems). We leverage advanced electronic warfare and kinetic measures to detect and neutralize hostile threats. If you want to push technological boundaries while safeguarding Israel and our allies, join us at this pivotal stage of our growth.
This is a unique opportunity to join a company at a pivotal growth stage and help shape its products, culture, and future.
We are seeking a highly experienced and hands-on Drone Technology Researcher to lead a specialized, agile research team. This role is critical to our mission of staying ahead of emerging drone threats. Your team will focus strictly on the electronic and signal aspects of drones-specifically communication protocols, flight controllers, and GNSS systems-rather than their electro-mechanical or aerodynamic properties.
Your primary objective will be to deconstruct, study, and understand modern drone technologies to empower our Electronic Warfare (EW) R&D team with actionable insights for drone detection, jamming, and spoofing. You will manage daily operations, track progress, build non-standard test platforms, and maintain a priority-based threat intelligence matrix.
Key Responsibilities:
● Lead and mentor a small team of junior researchers. Assign tasks, manage ongoing lab/field activities, and track research progress to ensure milestones are met efficiently.
● Build non-standard drones using custom or off-the-shelf components. Conduct rigorous lab and field tests to study their electronic behavior under various conditions.
●Perform deep dives into drone communication protocols (RF links, Wi-Fi, proprietary telemetry), flight controller firmware, and GNSS navigation systems to identify vulnerabilities and operational mechanics.
● Translate technical findings into practical, actionable insights for the EW R&D team to improve our counter-drone capabilities (detection, RF jamming, and GPS/GNSS spoofing).
● Continuously monitor the internet, forums, dark webs, and tech spaces for emerging drone technologies, DIY trends, and evolving tactics.
● Maintain a continuously updated, priority-based "drone threat list." Create detailed, evidence-based reports on new technologies with clearly cited sources, and confidently present these findings across the company.

Our company is seeking a Hardware Development Team Lead to lead cross-functional development and integration activities across the organization. The successful candidate will oversee collaboration between all engineering disciplines, including Hardware, RF, Software, and Firmware, while serving as the key interface with the Systems Engineering team.
Key Responsibilities:
Lead and directly manage a multidisciplinary engineering team developing complex systems, including Mechanical, Hardware, Firmware, and RF engineers, ensuring execution according to project plans, schedules, and objectives.
Lead end-to-end product development, including system architecture definition, technical oversight, prototype development, and design verification and validation (V&V).
Serve as the primary liaison between development engineers, the Systems Engineering team, and Project Managers.
Evaluate, introduce, and implement new development tools, methodologies, and emerging technologies.
Define priorities and allocate engineering tasks based on business needs, project requirements, and market considerations.
Establish engineering methodologies, development processes, project milestones, and required deliverables for internal design reviews (PDR, CDR, etc.).
Define engineering roles and responsibilities, recruit new team members, mentor engineers, conduct performance evaluations, and develop individualized professional growth plans.
Conduct routine management activities, including status meetings, management reviews, and project progress meetings.
Prepare technical responses for project tenders (RFPs), including technical proposals, effort estimation, and cost evaluation.
Provide technical support for both internal engineering challenges and customer-facing technical issues.
Lead internal and customer design reviews as required.

At ThetaRay, our purpose is to make the world a safer place by protecting the integrity of the global financial system. We do this by putting AI at the core of both our technology and our way of working. Our AI-driven solutions help banks and fintech companies worldwide detect and stop serious financial crime, from human trafficking and terrorist financing to sophisticated money laundering, while advanced technology, automation, and AI-driven tools help our teams collaborate smarter, move faster, and continuously improve how we build, deliver, and innovate.
About the role: We are looking for an Algorithm Researcher to turn expertise, initiative, and bold thinking into real impact on the next generation of AI-driven financial crime detection.
If you combine strong mathematical and research capabilities with advanced AI expertise, and if you are motivated by turning complex theoretical concepts into scalable, production-ready algorithms that solve real-world financial crime challenges, ThetaRay could be your next challenge.

?Responsibilities:
* Designing and developing advanced algorithms for complex financial crime detection challenges
* Translating mathematical models and research concepts into scalable production systems
* Building and optimizing ML and LLM-based solutions for real-world deployment
* Working with transformers, attention mechanisms, sequence modeling, and representation learning
* Developing solutions using RAG, embedding models, vector databases, and generative AI evaluation frameworks
* Designing AI agents, tool-using LLM architectures, and autonomous decision-making pipelines
* Improving model accuracy, robustness, explainability, and inference efficiency
* Collaborating with engineers, data scientists, and domain experts to bring research into production

Required Compilation Technology Expert
Job Description
We are forming a new team to explore AI Compilation Boundaries
This team will operate under a unique manner, as described below -
The environment
- Startup-like intensity
Small team
High ownership
High visibility
Merit is the essence, not titles
- Fast pace
Todays state of the art is tomorrows baseline
We aim to go beyond
- Incubator mindset
Take on hard challenges, dismantle, and regroup as novelty
- Elite technical culture
Strong experts
Strong standards
Strong execution.
Ratio beats seniority, not the other way around
- No artificial boundaries
We challenge assumptions, and question constraints, and leave no quarter
- Direct exposure to the latest and greatest AI technology
Real hardware
Real toolchains
Real large-scale AI applications
All pass through and impacted by our work
- First-principles thinking
out-of-the-box is a compromise
Do not accept that a box had to exist in the first place.