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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 a top-notch AI Runtime Team Lead to drive forward the development of the full software stack and architecture behind our revolutionary coprocessor. The AI Runtime is the layer responsible for attaching the AI framework and optimizing the accelerator runtime to best execute the AI workload.You will demonstrate creative and critical thinking capabilities and have a genuine passion for tackling complex low-level software issues. In this role, youd be responsible for leading and executing cross-team SW development activities from start to finish.
Responsibilities
Lead the development and execution of the AI runtime software stack, including team building and strategic planning.
Full responsibility for the technical aspects of the solution in the application Runtime flow and guide the team's implementation.
Taking an active role in hands-on implementation and providing technical guidance to team members.
Set a high bar for the software development cycle and code quality, and actively mentor others to achieve it. Guide other developers in the team as part of the joint effort.
Wide system impact through collaboration with the other SW teams.

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 looking for an experienced STA Lead Engineer to join our growing BE team. We are working on the most challenging and interesting ASIC chips. Come join us and have a big impact on our groundbreaking and innovative designs.
Responsibilities
Take part in STA activities for blocks, Sub Systems and Full chip, from definitions to TO
Analyze timing results, verify correctness and provide timing budget for the different partitions.
Own the timing constraints both for STA and P&R flow.
Working closely with architecture, design, PD and DFT teams to make sure timing closure and ensures product success
Identify risks and bottlenecks, work closely with PD, RTL and DFT teams, ensuring convergence throughout various project stages.
Participating in design methodology, reviews and tool automation work and definition
As part of this rule you will gain very good understanding of our HPC and AI designs and sub system as well as product targets.

We are looking for a talented and experienced engineer to participate in the physical design of the companys product for leading one of Nextsilison BE projects. This position involves working with external back-end developers as well as carrying out critical tasks in-house, and leading aggressive back-end initiatives to meet challenging targets in terms of area, timing, and layout.
In this role, you will be at the center of the companys design efforts and will have a significant influence on product architecture.
Responsibilities
Generate and analyze critical block- and chip-level static timing constraints
Spec and define full chip floor plan, including pin placement, partitions, and power grid
Develop and validate high-performance, low-power clock network guidelines
Perform critical block-level place and route and create designs that meet timing, area, and power constraints
Review the vendors physical design verification flow at chip and block level and guide other designers on how to fix LVS and DRC violations
Work with vendors on defining physical design methodologies and assist in flow development for chip integration.

We are looking for a talented and experienced engineer to participate in designing the next era of computer architecture. In this position you will take part in designing the critical parts of our future chips. You will transform architectural requirements to micro-architectural specs, implement key blocks in RTL, and participate in post-silicon activities.
Everything we do is guided by three core values:
Professionalism: We strive for exceptional results through professionalism and unwavering dedication to quality and performance.
Unity: Collaboration is key to success. That's why we foster a work environment where every employee can feel valued and heard.
Impact: We're passionate about developing technologies that make a meaningful impact on industries, communities, and individuals worldwide.
Responsibilities
Define and drive the design of advanced blocks from micro-architecture phase to netlist
Support timing and constraints definitions work closely with the BE team on timing and physical implementation efforts
Leading processes relating to power optimization
Technology expert, building a knowledge base for the group
Work with various teams to drive execution (SW, Architecture, verification, BE, etc)
Devise execution indicators and monitor and report execution progress to enable prioritization and clear decision making.

We are looking for a talented and experienced engineer to take part in the Emulation and Prototyping efforts for the companys core product.
This position involves building a complex emulation environment from scratch, and collaborating with software, design, and verification teams. In this role, you will be leading emulation from A to Z and will have a critical impact on the company.
Responsibilities
Develop and build complex emulation models for coming generations of our accelerators, including transactors like PCIe, SPI, and embedded CPUs
Work with the software, design, development, and verification teams to understand the functional and performance goals of the products design
Optimize the model for speed and capacity and develop debug abilities to support software and firmware teams
Work with software design and development teams to define and develop BFM, test bench, and checker tools
Review specifications and develop attributes, tests, and coverage plans for the emulation system.

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! ( two days from the office, three 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 Team Leader to join our team. As a Team Lead, you will be responsible for architecting, developing and enhancing all components of our SAAS solution.

You're invited to meet the R&D team here!

**Working in a hybrid model! (two days from the office, three days from home.)**

Responsibilities:

Leading and managing a cross-functional development team to design and develop the AppSec SAAS Platform from concept to deployment.
Mentoring and coaching team members on technical skills, career development, and best practices in software engineering.
Driving strategic technical decisions for both frontend and backend systems.
Collaborating with stakeholders across departments to gather requirements, define project objectives, and ensure alignment with product & business goals.
Overseeing the development of efficient and reliable frontend and backend systems using React, Java, and other related technologies.
Leading and championing proof-of-concept initiatives focused on artificial intelligence empowerment, demonstrating the feasibility and value of GenAI solutions for business challenges.
Managing project timelines and resource allocation while ensuring optimal application performance, scalability, and reliability.
Establishing team standards for database design, query optimization, and data integrity practices.
Practicing quality assurance processes including code review, testing strategies, and debugging methodologies.
Fostering a collaborative environment that promotes knowledge sharing, continuous learning, and adherence to best practices.
Staying current with emerging technologies and leading the team's adoption of cutting-edge solutions, particularly in the GenAI space.

Were building a new team focused on redefining the future of code analysis infrastructure, combining advanced GenAI techniques with deep static code analysis. We're looking for a highly motivated Algorithms Software Engineer to join us on this mission.

In this role, youll:

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.

What You'll Do:
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.