לוח משרות דרושים הייטק AI משרה מלאה

A global leader in hybrid cloud security. We bring a new approach that uses the attackers perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. The platform enables companies to rapidly prioritize and respond to cyber risks affecting their business-sensitive systems.
We are seeking a highly skilled and motivated backend Engineer with a Generative AI orientation to join our Infra team. We are building a new AI Platform from scratch to standardize AI development methods, ensure excellence and efficiency, and deliver robust, scalable, and compliant AI capabilities across our product line. This platform will handle cross-team concerns, such as prompt management, model access, data filtering, logging, and monitoring, centrally, so individual teams can focus on their own business-specific logic. As a backend Engineer with a Generative AI orientation, you will be instrumental in designing, developing, and implementing the core services of this foundational AI Platform. You will build components that enable our development teams to quickly innovate with AI while adhering to high standards for quality, cost-effectiveness, and compliance. Responsibilities:
* Develop and maintain a centralized microservice that handles all AI model interactions.
* Build shared services and libraries to maximize development speed and cost-efficiency for AI based features/systems across the company
* Setting the tone in the fields of automatic testing strategies and CI/CD for AI components, prompt management, and more.
* Define and enforce best practices for model governance, security, and compliance.

our company has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technologyand amazing people.
Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. As a worker, youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team that is building AI platform for operating AI factories to make a lasting impact on resilient operations of AI clusters.
What will you be doing:
You will bring together and understand internal and external customer requirements to improve AI cluster resiliency and design AIOps-based solutions that address these needs.
develop automated workflows for issue detection and root cause analysis and closely collaborate with operators to debug sophisticated, full-stack AI cluster problems. We will bring to bear the findings for product improvements!
deliver compelling technical presentations and lead hands-on demos or training. You'll also handle evaluation deployments (POC/POV) and ensure smooth, reliable installations by staying engaged and encouraging throughout the customer journey.

This role requires a blend of deep research, secure systems design, and hands-on prototyping. You will pioneer new approaches to secure the AI development lifecycle, create systems that govern how agents interact safely with tools and APIs, and build solutions that bake security into the fabric of our agentic platforms. Your work will be crucial in shaping our long-term AI security roadmap and establishing new industry standards.

What youll do:
Design and build defenses that secure our Agentic AI ecosystem, our LLMs, and our cutting edge AI models.
Proactively identify and mitigate risks in this emerging domain by creating foundational security solutions.
Focus on developing scalable, secure-by-design frameworks that empower developers to build trustworthy applications.
Continuously drive and implement cutting-edge research and standards in agentic identity, authorization, and permissioning while converting those insights into production-grade controls and services deployed across the platform.

As our Senior Staff Product Security AI Lead Researcher, you will spearhead research and development efforts focused on advanced guardrails for securing our Generative AI (GenAI) and agentic AI systems. You will lead AI and data science initiatives to pioneer methods for assessing and improving the security and safety of our AI models. Collaborating closely with the engineering team, specialised security researchers, and other AI specialists, you will translate cutting-edge research into actionable security solutions that significantly enhance the integrity of our AI offerings.

What Youll Do:
Lead innovative AI security and safety research, particularly around developing and refining guardrails for GenAI and agentic AI.
Design, implement, and oversee comprehensive testing protocols and evaluations to ensure AI model security and robustness.
Work collaboratively with engineering teams and specialized security researchers to integrate security best practices into the AI development lifecycle.
Provide expert insights on emerging threats and vulnerabilities unique to AI systems and propose effective mitigation strategies.
Communicate research outcomes clearly, influencing technical and strategic decisions throughout the organization.
Actively contribute to thought leadership in the AI security domain, participating in internal and external presentations, research publications, and standards development.

This role requires a blend of deep research, secure systems design, and hands-on prototyping. You will pioneer new approaches to secure the AI development lifecycle, create systems that govern how agents interact safely with tools and APIs, and build solutions that bake security into the fabric of our agentic platforms. Your work will be critical in shaping our long-term AI security roadmap and establishing new standards for the industry.

What youll do::
Design and build defenses that secure our Agentic AI ecosystem, our LLMs, and our cutting edge AI models.
Proactively identify and mitigate risks in this emerging domain by creating foundational security solutions.
Focus on developing scalable, secure-by-design frameworks that empower developers to build trustworthy applications.
Continuously drive and implement cutting-edge security in agentic ai, and LLM use througout the company while converting these insights into production-grade controls and services deployed across the company`s platform.

we are a leader in accelerated computing, driving innovation across industries with groundbreaking technologies in AI, graphics, and high-performance computing. Our networking products, including InfiniBand and Ethernet solutions, power some of the worlds largest data centers, enabling unparalleled scalability and efficiency for AI and scientific workloads. In the realm of security, our company has a long history of providing secure solutions for AI products and securing the AI pipeline.
We are seeking expert AI engineers who are passionate about advancing cybersecurity research to join our team. This is an opportunity to work on groundbreaking projects that involve AI to secure high-performance networking systems.
What you'll be doing:
Research novel AI techniques to secure next-generation networks and apply them to existing our company products.
Investigate and analyze network telemetry for indicators of vulnerabilities in secure environments.
Collaborate with our company researchers to explore innovative ways to improve security in networking products.
Contribute to projects that have potential real-world impact on NVIDIA's product portfolio.

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 looking for an experienced AI/ML Engineer to join our Applications team within our platform engineering group. In this role, you'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and ML pipelines. You'll translate cutting-edge data science research into practical, scalable solutions, handling model deployment both in cloud environments and on-premises using GPUs and CUDA. Youll optimize and implement ML models, workflows, and AI agents to ensure high performance and reliability in production environments.

Responsibilities
Design, implement, and deploy ML models, AI-driven applications, AI workflows, and LLM-based agents into production.
Build, manage, and maintain robust ML pipelines and systems.
Deploy models on cloud and on-premises GPU servers.
Optimize system performance, including model inference, scalability, and resource utilization both on cloud and on-premises.
Develop and maintain services, APIs and integrate ML models into microservices-based applications.
Collaborate with cross-functional teams including data science, backend, DevOps, and platform teams.
Stay up to date with the latest developments in AI, machine learning, and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.

We are looking for an experienced Software Engineer with GenAI/ML knowledge to join our AI/ML Applications team. In this role, you'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and GenAI pipelines. You'll translate cutting-edge data science research into practical, scalable solutions, handling model/agent deployment both in cloud environments and on-premise. Youll optimize and implement workflows, and AI agents to ensure high performance and reliability in production environments.

Responsibilities
Design, implement, and deploy AI-driven applications, AI workflows, and LLM-based agents into production.
Build, manage, and maintain robust GenAI systems.
Optimize system performance, including robustness, scalability, communication protocols and resource utilization both on cloud and on-premises.
Develop and maintain services, APIs and integrate ML models into microservices-based applications.
Collaborate with cross-functional teams including data science, backend, DevOps, and platform teams.
Stay up to date with the latest developments in AI and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.

Were seeking an experienced AI/ML Platform Engineer to join our Foundations team, the group behind our next-generation GenAI platform powering innovation across the company and beyond. This team is building scalable, high-performance AI systems for both internal users and external customersdesigned to run seamlessly across cloud and on-premise environments using the latest advancements in hardware. In this role, youll lead efforts in distributed training, inference at large scale, resource optimization, and robust model lifecycle management using MLOps best practices. Your work will be critical to accelerating research, supporting production-grade AI infrastructure, and driving the development of our internal AI ecosystem.

Responsibilities
Architect and build scalable ML infrastructure for training and inference workloads across heterogeneous compute environments (on-premise and cloud).
Design and implement distributed systems to support model lifecycle management from data ingestion and preprocessing, to training orchestration and deployment.
Optimize performance and cost-efficiency of large-scale model training and serving pipelines using technologies like Ray, Kubernetes, Spark, and GPU schedulers.
Collaborate with AI researchers, data scientists, and product teams to understand their workflows and translate them into reusable platform services and APIs.
Drive adoption of best practices for CI/CD, observability, and reproducibility in ML systems.
Contribute to the long-term vision and technical roadmap of the ML platform, ensuring it evolves to meet the growing demands of AI across the company.

As a Senior AI Engineer in the Clinical AI domain within our Data & AI group, you will play a critical role in designing, building, and scaling cutting-edge machine learning and LLM-based systems that power our AI-first healthcare experiences. Your work will drive capabilities in clinical risk prediction, conversational agents, and personalized health management tools.

You will take technical ownership of key projects, lead the development of scalable AI systems, and collaborate closely with cross-functional teams spanning product, data science, and engineering. In essence, you will help shape the future of AI in a high-impact, healthcare-focused environment.

Responsibilities:
Lead the technical design, development, and deployment of robust machine learning and LLM-based applications.
Architect and implement scalable systems for conversational agents, risk models, and clinical workflows.
Collaborate with data scientists and product managers to turn research and user insights into production-ready AI solutions.
Contribute to advanced prompt engineering, retrieval-augmented generation (RAG), and agent orchestration efforts.
Design and implement robust evaluation, testing, and monitoring strategies for AI models in production.
Integrate real-time data from mobile apps, wearables, and clinical sources into AI pipelines.
Investigate emerging AI technologies, evaluate their applicability, and recommend their integration into our systems.

we are hiring a Software Engineer to help revolutionize the world of observability. Using cutting-edge AI-driven technology, we are redefining how organizations monitor, analyze, and optimize their systemsmaking observability more intelligent, efficient, and accessible than ever before. As we scale, we seek top talent to push the boundaries of innovation and shape the future of AI-powered observability. If youre passionate about solving complex challenges and building game-changing technology, join us in transforming how the world understands and interacts with data.
Responsibilities:
End-to-end development and ownership of products and features, from design to scalable and predictable production behavior
Solve diverse and complex problems in a high-scale, cloud-native environment
Collaborate with other engineers and product managers to improve product functionality, scalability, and performance
Design, develop, and maintain robust, secure, and efficient software solutions
Ensure high system reliability by implementing best practices in monitoring, observability, and automation
Review code, architecture, and data to identify and troubleshoot technical and performance issues
Work with AI/ML teams to integrate AI capabilities, including model monitoring, evaluation, and fine-tuning

We're seeking an experienced Generative AI Specialist to design and implement sophisticated agentic AI systems that can autonomously handle complex workflows.
You'll be responsible for architecting AI agents that can interact with various data sources, make intelligent decisions, and deliver actionable insights to our customers.
This role represents a unique opportunity to pioneer enterprise-scale agentic AI implementation, establishing new paradigms for autonomous decision-making and intelligent automation.
Key Responsibilities:
Design and deploy production-grade agentic AI systems that can autonomously process customer documents and queries
Architect retrieval-augmented generation (RAG) pipelines for large-scale document management and intelligent information extraction
Implement multi-agent orchestration frameworks that can coordinate between different specialized AI components
Develop robust context management systems for handling extensive customer data while maintaining efficiency and accuracy
Create and optimize AI workflow automation that can handle dynamic customer requirements and business scenarios
Ensure AI system reliability, scalability, and compliance with industry regulations
Implement comprehensive performance monitoring systems to track AI output quality, accuracy, and relevance
Collaborate with cross-functional teams to integrate AI agents with existing business processes and systems

We are looking for an exceptional MLOps Team Lead to own, build, and scale the infrastructure and automation that powers state-of-the-art Large Language Models (LLMs) and AI systems.
This is a technical leadership role that blends hands-on engineering with strategic vision. You will define MLOps best practices, build high-performance ML infrastructure, and lead a world-class team working at the intersection of AI research and production-grade ML systems.
You will work closely with LLM Algorithm Researchers, ML Engineers, and Data Scientists to enable fast, scalable, and reliable ML workflows covering everything from distributed training to real-time inference optimization.
If you have deep technical expertise, thrive in high-scale AI environments, and want to lead the next generation of MLOps, we want to hear from you.

we are looking for a Senior Software Engineer to join our growing Innovative DataEngine team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history. This organization is in the center of the hurricane created by the artificial intelligence revolution.
As a Data Pipelines Engineer,
You will be building pipelines on top of the company Insight Engine, a one-stop shop to build fully integrated AI pipelines. You will build new and innovative AI pipelines and applications as blueprints for customers and AI practitioners to use.
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data centers, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality, and a team of fearless company ronauts who leverage their skills & experiences to make a real market impact.