דרושים » הנדסה » Algorithms Software Engineer GenAI & Code Analysis

Were forming a new elite team to shape the next generation of our SAST detection infrastructure with the power of Generative AI. Were looking for a hands-on Team Lead with a solid foundation in code analysis algorithms and a proven track record in building GenAI-driven systems.
As a leader, youll recruit and mentor top-tier talent, set the technical vision, and work across research, product, and engineering to deliver high-impact solutions.
You're invited to meet the R&D team here!
What You'll Do:
Lead the design and development of next-generation code analysis infrastructure by building and managing a high-performing team of algorithm engineers and research scientists.
Drive technical innovation around GenAI integration into static code analysis workflows
Design and review algorithms for semantic code understanding and vulnerability detection
Collaborate closely with Product Managers, Algorithm software engineers and application software engineers to to align team direction with strategic goals
Foster a strong engineering culture of experimentation, ownership, and impact

we are seeking an innovative and experienced Senior Software Developer to join our team. This team is pioneering a new wave of application security solutions focused on identifying risks in AI-powered software. If you're passionate about software security, skilled in backend engineering, and intrigued by the intersection of AI/LLMs and security, we want you on our team.
The product scans application source code to detect embedded AI/ML models, libraries and framework, understand their behavior, and surface potential security risks; from data leakage to prompt injection vulnerabilities. This is a high-impact role that blends backend engineering with cutting-edge AI applications, helping organizations secure the next generation of software.
You're invited to meet the R&D team here!
**Work in a hybrid model: Two days from the office, three days from home**
Responsibilities:
Design and implement backend systems that scan source code, identify AI/ML components, and evaluate associated security risks.
Build intelligent detection logic to recognize large language models (LLMs), machine learning models, and custom pipelines in codebases.
Collaborate with security researchers, data scientists, and product managers to integrate AI risk models into our core platform.
Develop scalable and maintainable services in Java and Go.
Translate research prototypes into production-grade features, with attention to performance, resilience, and accuracy.
Conduct code reviews, maintain high development standards, and mentor team members.

We are looking for a passionate and experienced AI Agentic Developer to join our SCA Department .
In this role, you will drive the evolution of our Software Composition Analysis (SCA) platform into the era of autonomous AI agents.
Youll lead the integration of our security capabilities into modern AI workflows and toolchains, leveraging technologies such as LangChain, AI code assistants, agentic frameworks, and large language models (LLMs).
Youll work on building robust, scalable backend services in Go and Python, supporting high-throughput, enterprise-grade systems. Youll also collaborate with AI researchers, DevOps, and product managers to define and deliver intelligent, secure solutions for the developers of tomorrow.
**Working in a hybrid model! ( two days from the office, three days from home**
Responsibilities:
Design and implement high-performance, fault-tolerant backend systems using Go and Python.
Build and maintain integration layers between SCA platform and AI agents, LLM-based systems, and developer tools.
Collaborate with AI research and platform teams to build secure, intelligent agentic workflows.
Architect scalable services that support real-time decision-making and security insights for autonomous agents.
Lead and participate in design discussions, code reviews, and AI/ML experimentation loops.
Guide junior team members and contribute to a knowledge-sharing culture.

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.
**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.

We are seeking a highly skilled and experienced full-stack developer to join our team. As a Sr. FullStack developer you will be responsible for architecting, developing and enhancing all components of our SAAS solution.
**In this position, you will work in a hybrid model, which means you will spend two days at the office and three days working from home.**
What will you do?
Designing and developing AppSec SAAS Platform from concept to deployment.
Collaborating with cross-functional teams to gather requirements and define project objectives.
Leading and championing proof-of-concept initiatives focused on artificial intelligence empowerment, demonstrating the feasibility and value of GenAI solutions for business challenges.
Developing efficient and reliable FE and backend systems using React, Go, Java and other related technologies.
Owning and Leading proof-of-concept initiatives focused on artificial intelligence empowering, demonstrating the feasibility and value of AI solutions for business challenges.
Optimizing application performance and ensuring scalability and reliability.
Creating and maintaining databases, writing efficient queries, and ensuring data integrity.
Conducting thorough testing and debugging to identify and resolve issues.
Collaborating with other developers and participating in code reviews to maintain code quality and best practices.
Staying up to date with emerging technologies and trends in software development especially focusing on GenAI.

We are seeking a Senior HPC Application Engineer with extensive experience in running, profiling and optimizing benchmarks and HPC applications at the server or cluster level. As part of the System Performance software team, you will play a pivotal role in analyzing and improving key HPC applications, directly influencing software requirements and hardware specifications. This position sits at the intersection of computer science and computational physics, requiring both technical expertise and creative problem-solving to address bottlenecks and accelerate application performance on novel architectures. If you are passionate about science, skilled at tackling complex challenges, and thrive in a cutting-edge multidisciplinary environment, we want to hear from you!

Responsibilities:
Profile a wide range of HPC applications on various architectures, identifying performance bottlenecks.
Develop creative algorithmic and software solutions to address bottlenecks and accelerate applications on a novel dataflow architecture.
Translate application requirements into software features and hardware requirements.
Develop performance models for future hardware architectures.

We are looking for a Senior Go Developer with strong technical expertise, deep problem-solving skills, and a proactive, can-do attitude.
**Working in a hybrid model! ( two days from the office, three days from home. )**
What will you do?
Design and Develop scalable backend services for high-performance, distributed systems.
Troubleshoot and resolve production issues, ensuring reliability and efficiency.
Collaborate with cross-functional teams to integrate backend services into security platform.

The AI software team is building solutions that enable the latest AI models and workflows to run efficiently on on NextSilicons unique hardware architectureunlocking a new level of performance

We are seeking a talented engineer with extensive experience in modelling, analyzing and optimizing AI workloads and end-to-end flows. This position lies at the intersection of computer science, hardware architecture and ML computational algorithm.

Responsibilities:
Model AI workload behavior on custom hardware and software
Identify bottlenecks and propose optimizations in hardware architecture and software.
Define next generation software requirements and specifications.

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.