דרושים » הנדסה » senior software engineer - ai & innovation group

as a network software engineer, you will extend the company product suite to support network and security devices it does not support out of the box, such as firewalls, micro-segmentation platforms, sd-wan solutions and cloud environments. using the company's open model (opm) platform, you will build device clients that report device data to the company product and automate changes on the devices (provisioning), so customers can manage them just like natively supported devices.

we are looking for a Senior AI Engineer to design and build production-grade, LLM-powered systems. You'll work at the intersection of software engineering and applied AI - shipping agents, RAG pipelines, and tool-using systems that solve real problems at scale. This is a hands-on, high-ownership role for someone who thrives at the frontier of what's possible with modern LLMs and isn't afraid to write the glue, the infrastructure, and the prompts that make it all work.
This is a **cross-functional, company-wide role**. You won't be embedded in a single product team - instead, you'll partner with every department to identify high-leverage opportunities and build AI-powered tools and workflows that boost productivity and efficiency across the entire organization.
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
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 center, 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 real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
What You'll Do:
- Design, build, and operate LLM-powered applications, agents, and workflows end-to-end - from prototype to production.
- Architect retrieval, context engineering, and tool-use strategies that make models reliable, accurate, and cost-efficient.
- Integrate LLMs with internal services, third-party APIs, and data stores to automate complex business and engineering workflows.
- Build, evaluate, and continuously improve evaluation harnesses for non-deterministic systems.
- Collaborate closely with product, research, and platform teams to translate ambiguous problems into shipped capabilities.
- Stay ahead of the rapidly evolving LLM ecosystem (models, frameworks, agentic patterns) and bring the best ideas into our stack.

Required Senior Software Engineer, Cloud Datastream and Database Migration Service
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Control & Connect (C&C) team builds the core infrastructure powering our DMS and Datastream. We own the mission-critical Control Plane and Data Movement Infrastructure that allows enterprise customers to seamlessly migrate and replicate their databases at massive scale.
As a Senior Software Engineer, you will design and build the core infrastructure that enables enterprise customers to replicate and migrate their databases. You will address distributed systems issues involving stateful microservices, intricate multi-region architectures, and high-throughput data pipelines. Operating in a collaborative environment, you will guide the technical design of new features, improve system reliability, and mentor fellow engineers. Our team is also pioneering AI-assisted engineering operations, giving you the opportunity to shape how we use generative AI to accelerate development, improve testing, and reduce operational toil.
Responsibilities
Design and implement resilient, multi-step long-running operations and manage orchestration workflows on our cluster management systems.
Drive architectural improvements to decouple systems, manage service overload, and integrate seamlessly with various Cloud services like AlloyDB, Cloud SQL, and BigQuery.
Take end-to-end ownership of ambiguous technical challenges, translating complex requirements into concrete architectures and maintaining high engineering standards through design and code reviews.
Identify and eliminate operational toil, including contributing to the team's custom AI agents to automate release pipelines and streamline on-call workflows.

We are seeking a Software Engineer, Data & Platform to join our Platform team. This is a hands-on engineering role at the intersection of data and infrastructure. You'll build the pipelines that move clinical data into, through, and out of our autonomous coding engine, and the cloud systems that run it in production.

What you'll do:
Build and maintain reliable data pipelines that ingest, transform, and deliver data from healthcare systems at scale, across millions of charts a year.
Design, build, and operate our cloud infrastructure on AWS, managed as code.
Own data modeling, schema management, and database performance in close partnership with our DBA.
Improve how our engineering teams ship: CI/CD, environments, observability, and internal tooling that make deployments safe and fast.
Take an AI-first approach to engineering: use AI coding assistants and agents as a core part of your daily workflow, and look for opportunities to apply LLMs and agentic tooling to automate data and platform work.
Ensure the security, reliability, and compliance of systems that handle sensitive patient data.
Work with R&D, ML, and Product to turn requirements into scalable data and platform solutions.
If you enjoy writing real software to solve data and infrastructure problems, and you care about systems that are robust, observable, and well designed, we'd love to hear from you.

Were looking for a Senior Software Engineer to join our R&D team and take a key role in building the core platform behind autonomous security agents.

This is a highly technical, hands-on role combining backend engineering, platform architecture, cloud infrastructure, and production ownership. Youll work on complex engineering challenges around agent execution, secure access to customer environments, multi-region deployments, data isolation, and the infrastructure that enables our agents to operate safely and at scale.

Were looking for a strong, independent engineer who enjoys solving deep technical problems and owning solutions end-to-end.

Responsibilites
Design Design and build core backend and platform capabilities that power our autonomous security agents
Build production-grade services in Python and Rust, with a growing focus on Rust
Own complex features end-to-end - from architecture and backend implementation to infrastructure and production
Build secure mechanisms for agents to access customer environments, credentials, and sensitive information while maintaining strict isolation and preventing data exposure
Design systems that separate agent execution from the core platform and enable agents to operate securely and independently
Build and scale multi-region cloud infrastructure, supporting data residency and regional deployment requirements
Design networking and execution infrastructure that allows customers to control where and how security testing is performed
Build internal tools and capabilities that agents can securely use as part of autonomous security workflows
Work closely with Security Research, AI/ML Research, Product, DevOps, and other engineering teams
Take ownership of reliability, scalability, observability, and production performance

Our Applied Science group builds the intelligence behind the marketplace. We turn large volumes of unstructured data into structured understanding, and use it to connect the right people with the right work. We are a small team with an unusually large surface. We own the full path from raw data to production AI systems, and we are actively expanding what that platform can do. In this role, you will design, build and operate AI systems that run continuously in production: large volumes of unstructured data in, models and pipelines in the middle, structured signal that teams across us build on back out. The scope runs from data pipelines and retrieval infrastructure through to model quality, evaluation and cost. This is a hands on senior role, and you will help define how these systems get built here rather than inherit someone else's answer.
What am I going to do?
* Build and evolve our production LLM pipelines, turning unstructured text into structured data that the product consumes.
* Design and operate large scale batch and near real time data processing, including correctness, freshness and cost.
* Build the retrieval and serving layers that make our data usable in real time.
* Decide what runs on which LLM model, and prove the choice with numbers rather than intuition.
* Keep cost and latency predictable as volume grows: throughput, failure handling and monitoring.
* Build agentic workflows that makes the whole team faster, and help set the standards others work to.
Equal opportunities:
We prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. We are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, we will provide accommodation to individuals with disabilities or a special need.

our company's mission is to protect every mobile app in the world and the people who use them. We are the leader in AI-native mobile business protection, providing cyber and fraud teams with an agentic platform that builds, monitors, and maintains security defenses in Android and IOS apps - with no SDKs, no coding, and no disruption to engineering cycles.
Our platform delivers over 400 security, anti-fraud, anti-bot, and API protection capabilities, powered by deep learning models trained on a decade of mobile defense data and trillions of live threat events. From build time to runtime, our company's AI Agents help mobile brands detect, investigate, and respond to threats faster than ever - recognized as the best AI Platform for Cyber Resilience at RSA Conference 2026 for the second consecutive year. Leading financial, healthcare, m-commerce, and B2B brands rely on our company to secure over 50,000 mobile apps and protect more than 1 billion end users globally.
we are an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.
About the Role We are looking for a software engineer to join the Build Agent team. Build Agent is a new, AI-native part of the company platform that makes securing mobile apps smarter and faster at build time. It accumulates knowledge across every build, so the platform gets smarter with each app it protects. You will have real ownership: designing new infrastructure, connecting it across the company platform, and shaping how AI is used inside a product that protects over 50,000 apps.
Responsibilities Design and develop new infrastructure and capabilities for Build Agent, from idea to production. Integrate Build Agent with our company's build pipeline, data stores, and internal services, working closely with engine, platform, DevOps, and service-delivery teams. Analyze large volumes of build and application data to find patterns and convert them into automated, deterministic logic. Develop with AI coding tools as a core part of the workflow, and apply LLM- and ML-based techniques where they add real value. Improve, TEST, and debug existing Build Agent infrastructure according to customers' needs. Continuously learn and evaluate new technologies in the everlasting effort to perfect our product.

We're building a new orchestration platform for AI datacenters-software that turns a complex, multi-vendor stack of compute, networking, and accelerators into something customers can deploy, operate, and optimize with confidence.
You'll join a small, growing engineering team where every engineer ships. In this hands-on development role, you'll build backend services, contribute to system design, and own features from implementation through production, working closely with experienced engineers.
If you enjoy solving challenging engineering problems, building new products, and seeing your work run at scale in real AI datacenters, this role is for you.
What You'll Do
- Build and maintain core services and features for an orchestration platform spanning compute, networking, and accelerators.
- Translate customer requirements into APIs, workflows, and data models in collaboration with the team.
- Deliver features end-to-end, from prototyping and implementation to testing, deployment, and production support.
- Write reliable, maintainable code and contribute to shared libraries, automated tests, and CI/CD pipelines.
- Contribute to design discussions and make practical implementation tradeoffs around performance, reliability, and simplicity.
- Participate in code reviews, share knowledge, and help improve engineering practices.
- Troubleshoot issues and improve service performance, observability, and operational readiness.

the networking diagnostics team is seeking a highly motivated and experienced engineer. this person must have hands-on technical expertise to develop critical diagnostic tools for our newest, world-leading networking platforms. this position offers the opportunity to have a real impact in a dynamic, technology-focused company, impacting data centers and high-performance computing (hpc) clusters across the world. we are looking for independent engineers who excel in a fast-paced environment and are passionate about ensuring the stability of next-generation hardware.
what you'll be doing:
design & implement: architect and develop high-performance diagnostic tools and frameworks using Python, tailored for our latest networking platforms.
performance optimization: drive end-to-end development focusing on software that performs efficiently, ensuring diagnostic suites can handle high-throughput data and Real-Time monitoring without latency.
system diagnostics: take charge of developing features that bridge the gap between complex hardware behaviors and software-level diagnostics.
collaborative problem solving: partner with hardware, firmware, and driver teams to address real-world challenges that demand innovative solutions and a customer-centric approach.
autonomous execution: own the full software development lifecycle of diagnostic features, from initial hardware specification to deployment in dynamic environments.

our performance group is seeking a technical nic & dpu performance research & analysis engineer to drive end-to-end performance strategy, characterization, optimization and hw offload accelerations for next-generation network interfaces and data processing units (dpus).
in this role, you will analyze and accelerate critical networking and Storage technologies and protocols powering multi nodes ai clusters. you will profile performance across the complete hardware-to-software execution stack-stretching from dpu arm cpu subsystems and pcie to high-speed rdma, spdk, and doca acceleration pipelines.
what you'll be doing:
data -path optimization: drive end-to-end benchmark plans, performance characterization, expectations and optimizations for nics and dpus deployed in distributed ai and cloud data centers.
Full-Stack profiling: profile low-level memory, pcie, host cpu, and dpu asic execution paths to identify micro-architectural stragglers, queue bottlenecks, and tail-latency outliers.
Storage & network acceleration: hands-on acceleration and offloading of Storage (spdk, nvme-of, virtio) and networking protocols (rdma/rocev2, tcp/ip, doca).
ai-assisted workflow automation: leverage ai agents, autonomous scripts, and automated regression frameworks to scale continuous performance evaluation.
cross-functional rca: partner closely with architecture, asic, firmware, and software engineering groups to conduct rigorous root cause analysis (rca) and establish performance targets for upcoming pre- and post-silicon platforms.