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The Research Lab in Israel is seeking exceptional students to join our dynamic team to work on cutting-edge AI research for building the next-generation platform for AI and agents. Our team focuses on developing core technologies to enable building the next-generation platforms to support AI and agentic workloads. This includes:
Exploring how to optimize the AI platform stack and architecture to support the next-generation of AI-driven applications, including agentic workload and applications.
Developing methods leveraging AI paradigms to assist in inventing and evaluating new platform algorithms and solutions.
In this position you will:
Develop code for AI and Agents platform (e.g., in Python and GO)
Performing benchmarking and evaluation and gain expertise in platform evaluation
Gain hands-on experience with enterprise AI software stack, tools and platforms
Work in a global company gaining team and collaboration practices
This role offers a unique opportunity to deepen your knowledge and practical skills in AI solutions and platforms.

Were looking for fast learners with strong programming skills and a passion for applying and working with AI. Experience with AI and language models is a plus.

We are looking for a highly motivated PhD or MSc student to join our team for a summer internship focused on cost-efficient serving of large-scale AI inference workloads.The internship will explore advanced routing strategies and KV-cache-aware optimizations in distributed inference systems, with an emphasis on improving performance, scalability, and GPU cost efficiency.
What you will work on
Designing and evaluating routing algorithms to optimize inference latency, throughput, and cost
Investigating KV cache management strategies for large-scale, distributed inference serving
Prototyping, benchmarking, and analyzing inference optimization techniques
Working with modern inference frameworks and real production-like workloads
Why join us?
This internship offers a unique opportunity to work at the intersection of AI systems and distributed infrastructure, with real-world impact on scalable, cost-efficient inference serving used in production environments.

We're looking for a highly motivated Algorithms Software Engineer to join us on this mission.
We're working in a hybrid model: 3 days in the office, 2 days from home.
You are invited to meet the R&D team here!
In this role, you will:
Research and develop next-gen code analysis and remediation algorithms
Work hands-on with GenAI models and integrate them into detection workflows
Tackle complex software analysis problems (e.g., call graphs, control/data/taint flow analysis)
Collaborate closely with Product Managers, Algorithm software engineers and application software engineers to prototype, validate, and productize your innovations
Responsibilities:
Design and implement machine learning and algorithmic solutions for code analysis
Build GenAI-powered developer tools for static and semantic code analysis
Enhance our existing detection infrastructure with intelligent, context-aware insights
Translate cutting-edge research into practical, scalable product features

We are seeking an experienced Java Software Developer to join our Core application Team. As a Java Software Developer, you will be responsible for designing, developing, and maintaining a software application that works with large scale systems that serve enterprises.
The ideal candidate will have a deep understanding of Java and Big Data technologies and the ability to work in a fast-paced, dynamic environment.
You're invited to meet the R&D team here!
Working in a hybrid model: 3 days in the office, 2 days from home.
Responsibilities:
Design, develop, troubleshoot, and maintain high-availability systems using Java
Optimize existing services to be enterprise-grade and scalable, ensuring they meet the demands of high-volume usage
Write high-quality, maintainable code and ensure that code is thoroughly tested and debugged
Participate in code reviews and ensure that all code meets the standards set by the team
Mentor other developers and provide guidance and support as needed

We are seeking a highly skilled and experienced Research Engineer to join our team. In this role, you will collaborate on developing innovative solutions from concept to implementation and help drive the next major revolution in the computing landscape.
Responsibilities
Conduct cutting-edge research and experiments in computing and mathematics.
Develop and optimize mathematical algorithms and computations.
Explore new approaches in graph theory, clustering, and related fields to advance a pioneering general-purpose coprocessor architecture.
Analyze data and apply machine learning techniques to improve performance and insights.
Contribute to technical blogs, whitepapers, and scientific publications.
Collaborate with cross-functional teams to translate research into practical solutions.

We are seeking an exceptional Software Team Lead to guide the development of our runtime software stack. This role requires a rare combination of deep technical expertise, hands-on coding ability, and proven leadership experience. You will own the architecture, implementation, and system-level integration of drivers, runtime components, and low-level system software, driving technical excellence and performance across the stack. The ideal candidate thrives under pressure, takes full ownership of outcomes, and sets the bar for quality and innovation in the team.
Responsibilities
Lead and mentor a team of runtime and embedded software engineers, setting the standard for technical excellence.
Define and drive the architecture, roadmap, and performance expectations for the runtime stack, ensuring scalable, robust, and high-performance solutions.
Oversee cross-team software projects from concept through production, while remaining hands-on in coding, debugging, and system bring-up for critical components.
Establish rigorous standards for testing, CI/CD, and software lifecycle processes, ensuring maintainable and reliable delivery.
Conduct architecture and performance reviews, providing decisive guidance in ambiguous or high-pressure situations.
Collaborate deeply with architecture, compiler, hardware, and platform teams to deliver cohesive, system-level solutions.
Provide technical leadership to resolve conflicts, make tough trade-offs, and uphold engineering excellence.
Recruit, mentor, and retain top-tier engineering talent.

We are seeking a highly skilled AI Application Team Lead to build and lead a team responsible for developing, running, and optimizing large-scale AI workloads on our AI hardware platform. This role focuses on benchmarking state-of-the-art models (e.g., LLaMA, DeepSeek), executing MLPerf suites, analyzing system-level performance, and driving cross-stack optimizations across hardware, runtime, and software frameworks.
The ideal candidate combines strong technical depth in AI/ML systems, hands-on experience with LLM workloads, and leadership capability to guide a high-performance engineering team.
Responsibilities
Lead and mentor a team of AI application and performance engineers.
Run and optimize AI workloads (LLaMA, DeepSeek, etc.) and execute MLPerf benchmarks.
Analyze end-to-end performance and identify HW/SW bottlenecks.
Develop optimization strategies across models, kernels, frameworks, and runtime.
Build profiling, debugging, and validation tools for large-scale AI workloads.
Collaborate with hardware, compiler, and device software teams to improve performance.

We are seeking a top notch software engineer to drive forward the development of the full software stack and architecture behind our revolutionary coprocessor. You will demonstrate creative and critical thinking capabilities and have a genuine passion for tackling complex low-level software issues.
As part of the memory system team, you will work on design and implementation of new and enhanced features of the memory system to support high performance computing and AI applications in the Maverick accelerator runtime environment.
You will work closely with software engineers, hardware engineers, compiler developers and other stakeholders to enable the most efficient execution of applications on a large scale, multi threaded and highly distributed system across multiple disciplines with a deep OS Internals point of view.
Responsibilities
Work on design and implementation of new and enhanced features of the memory system for the Maverick accelerator
Develop a high performance, low latency distributed unified virtual memory management system
Work on system software support for the next generation Maverick system
Define feature development scope and plan for successful product delivery.
Wide system impact through collaboration with software engineers, hardware engineers, compiler developers and other stakeholders.

We are seeking a skilled Low-Level Software Team Leader to head a dedicated team on an ambitious new project. You will play a pivotal role in developing the foundational infrastructure for a new product. Your primary focus will be the creation of critical low-level components, including ROM, low-level drivers, firmware, and hardware abstraction layers (HALs), all of which are crucial to the success of this revolutionary venture. You will lead a team of software and hardware engineers within the system group of our hardware organization.
If you are driven by technical challenges and passionate about shaping the future of technology, we invite you to apply and bring your expertise to this dynamic opportunity.
Responsibilities
Play a significant role in designing, developing and optimizing a unique new product for the revolutionary accelerator.
Develop device software components including processor RTOS, OS drivers, user-space applications, and libraries.
Collaborate with hardware and product design teams to develop software for sophisticated SOC platform designs.
Contribute as part of a multidisciplinary team, taking on broad responsibilities with an ecosystem-wide perspective.
Tackle complex system-level optimization and resource utilization challenges.
Participate across all levels of the product development lifecycle.
Go the extra mile to deliver excellence.