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We are building a high-performance inference and fine-tuning platform designed to push foundation models to their hardware limits. Our mission is to maximize throughput, minimise latency, and optimise cost-per-token across tens of thousands of GPUs.



Some directions we are currently working on, and which you can be a part of:

Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. Squeezing the maximum performance for a wide range of LLM architectures at scale (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-5).
Inference engines support: Implement novel speculative decoding architectures, optimise components of various LLM designs (dense/MoE, autoregressive/parallel), and contribute to open-source inference engines.
Low Precision Training & Inference: Design and productionise low-precision (FP8, NVFP4/MXFP4) training and inference pipelines with measurable gains in throughput and cost-efficiency.

We are looking for a highly technical and execution-oriented Senior Solutions & Integrations Engineer to lead product evaluations, system onboarding, integrations, automation, and operational enablement across our technology environment.

This role combines hands-on engineering, technical product evaluation, integration development, and operational execution. The ideal candidate is comfortable working across SaaS platforms, APIs, automation workflows, and enterprise operational processes.

You will play a key role in evaluating new products, onboarding enterprise systems, building integrations, automating workflows, implementing monitoring and alerting capabilities, and extending platform functionality where native capabilities are missing.

This is a highly cross-functional role working closely with Security, IT, Infrastructure, Engineering, and Operations teams.

Responsibilities
Product Evaluation & POCs

Lead technical proof-of-concept (POC) activities for new products and platforms
Evaluate architecture, scalability, operational fit, and integration capabilities
Produce structured technical evaluations and recommendations
Work directly with vendors during technical validation and onboarding phases
Identify risks, limitations, and operational considerations
Platform Onboarding & Integrations

Lead onboarding and implementation of new SaaS and enterprise systems
Design and implement integrations between platforms using APIs, webhooks, and automation tools
Configure authentication integrations including SSO and OAuth
Coordinate rollout activities with stakeholders and vendors
API Development & Automation

Develop lightweight APIs, scripts, and automation workflows to close functional gaps in third-party products
Build simple integration layers between internal and external systems
Improve process automation and operational efficiency
Monitoring & Alerting

Build alerting, monitoring, and observability integrations across operational systems
Integrate systems with logging, monitoring, and incident management platforms
Support operational visibility and reliability monitoring
Operational Process Ownership

Define and maintain operational processes for newly onboarded platforms
Create technical documentation, onboarding procedures, and operational runbooks
Ensure operational handoff and support readiness
Drive continuous improvement and automation initiatives
Cross-Functional Collaboration

Work closely with Security, IT, Infrastructure, Engineering, and Operations teams
Translate business and operational requirements into technical solutions
Coordinate with vendors and external partners
Provide technical guidance during implementation and adoption activities

Alice is hiring a Senior Software Developer to lead the development of our internal malware research platform. This is a senior, hands-on role with end-to-end ownership of development and delivery. You'll be the technical authority — setting code-quality standards, making the architecture calls, and mentoring the developer team. What makes this role different is who you build for. Our users are our malware researchers, and they use the tool every day. Your job is to sit beside them, learn how they actually work, surface the heuristics and edge cases they carry in their heads, and build agentic tooling that compounds their productivity. The bar isn't "does it ship" — it's "do the researchers reach for it every day." Success is measured in researcher adoption and time saved, not features merged. Agentic workflows are core to how we build. You should be fluent using them and confident designing systems where agents run in production — with clear judgment about where an agent earns its keep versus where deterministic code or a human-in-the-loop is the right call. What You'll Do Lead development and delivery
* Own technical execution end-to-end: implementation, code review, and release.
* Translate research workflows and feature requests into well-scoped tasks with realistic, risk-aware estimates the team can plan against.
* Manage day-to-day execution: unblock people, sequence work, catch problems early.
* Set and defend the technical bar: review rigor, testing discipline, documentation, architectural consistency. Partner with the researchers — and amplify them
* Embed with malware researchers to understand their workflow and capture the tacit knowledge and edge cases no spec ever wrote down.
* Translate that knowledge into reliable agentic tooling — and know when an agent is confidently wrong before it ever reaches a researcher.
* Spend roughly 5–10% of your time doing actual malware research (with structured onboarding) to stay close to how the tool is used.
* Be willing to tell a researcher when a proposed workflow won't automate well — and explain why. Be the technical authority and mentor
* Make the hard architecture and design trade-off calls.
* Mentor through code review, pairing, and design discussions. Raise the level of everyone around you.
* Dive deep on the critical, difficult features and bug fixes yourself.
* Design agentic workflows into the architecture from the start, and build the evaluations and guardrails that keep them trustworthy.

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

We are looking for a Senior Data Engineer to build and scale the data foundation behind platform and products. You will own complex data end-to-end - from ingestion and transformation through modeling, quality, observability, and production delivery.
This is a hands-on senior IC role for a strong builder who can solve difficult data problems independently, set a high technical bar, and collaborate closely with engineering, DS, and product. You will turn large, fragmented datasets into reliable, reusable capabilities that power every product.
Responsibilities
Build and own scalable data pipelines- Design, implement, and operate robust pipelines for high-volume structured and unstructured data, with validation, monitoring, lineage, and recovery built in.
Scale the platform for growth- A key near-term initiative is re-architecting the system to support a significantly larger customer base. You will own performance and cost-efficiency across pipelines and services, keeping reliability and operating costs under control as the platform scales.
Build across the stack- This is not a pipelines-only role. You will also write backend services and some frontend, including the internal backoffice the team runs on. We hire builders, not narrow specialists.
Own the core data tables- Own schema design and evolution, data contracts, and the modeling standards the team follows - naming, shared dimensions, normalization, documentation. Be accountable when a table is wrong, late, or drifting.
Level up the teams data work- Pair with and advise software engineers and data scientists on Spark, SQL, and modeling, and help turn notebook-grade code into production-grade pipelines.
Partner cross-functionally- Translate product, client, compliance, and business requirements into clear technical designs and dependable production systems.

We are seeking a talented and versatile Threat Detection Engineer to work with us in Herzliya with expertise in iOS and Android security. As a key member of our engineering team, you will play a crucial role in designing and developing complex compromise detection solutions and providing advanced professional services to customers.

Responsibilities:
Design and develop mobile focused on-device and off-device malware and compromise detection solutions that enable forensic analysis, including infrastructure, features, classification logic, tools, proof of concepts, heuristics and signatures for Android and iOS devices.
Represent the Company in front of customers by providing advanced professional services including malware and indicator of compromise analysis, as well as professional training sessions.
Develop and implement components and features using C, C++, Python, JavaScript, Go, Rust and other programming languages as needed, while employing secure coding practices and ensuring optimal performance, responsiveness, and cross-platform compatibility in line with product specifications.
Represent the company in front of potential customers and partners by conducting technical demonstrations, participating in meetings and other pre and post sales engagements.
The position may require local and international travel.

We are looking for an AI Engineer to build the systems that drive this: AI agents that investigate vulnerabilities, generate and validate code fixes, and continuously refine their performance. In this role, youll work at the intersection of AI engineering, security automation, and rigorous evaluation to translate cutting-edge models into dependable production tools.

Responsibilities

Build and evolve production AI agent pipelines for CVE research, patch generation, validation, container image remediation, and end-to-end merge requests.

Design the agent capabilities behind those workflows: prompts, tools, model selection, context, guardrails, and integrations.

Build the feedback loops that make our systems better: tracing production runs, creating datasets, defining evals and scorers, and using results to guide iteration.

Analyze real-world performance to answer the questions that matter: Did this change improve patch success, quality, latency, or cost Can we prove it?

Operate what you build in production across Kubernetes, Argo Workflows, AWS, and GitOps.

Partner closely with Product and engineering to focus on the customer problems with the highest security impact-and ship quickly.

We are looking for a Senior Software Engineer to join our small, core, professional development team in Tel Aviv. You will work closely with our CTO to create new software products that leverage our high-performance computational engine while modernizing our technical architecture.
This role is for an engineer who enjoys high-level systems work - taking our proven underlying tech and building the next generation of features and products on top of it. You will have a direct hand in shaping the architecture and integrating modern workflows into our ecosystem.
What you will do:
Product Creation: Lead the development of new, innovative software products, utilizing our robust computational foundation as a starting point for advanced capabilities.
Modern Architecture: Design and implement architectural improvements that allow us to integrate new features and AI-driven workflows efficiently.
Bridge the Stack: Interface our established, high-performance computational core with modern application layers and APIs.
Systems Design: Solve complex technical challenges by applying a systems-first mindset, ensuring our software remains clean, modular, and scalable.
High-Level Collaboration: Partner with our CTO and a small team of senior engineers to define our technical roadmap and uphold high standards of code quality.

We are currently expanding our R&D center in Tel Aviv, where we are building advanced data systems, automation infrastructure, and intelligent workflows that power our products and enable the next wave of innovation in advertising technology.

This role focuses on building reliable data systems and automation infrastructure, while helping us introduce AI-driven and agentic automation capabilities that improve how our engineering and data platforms operate.

What You Will Do
Design and build backend services using Node.js and TypeScript
Develop and maintain data pipelines and automated workflows
Work with Snowflake, MongoDB, and large datasets
Improve reliability and performance of data processing systems
Build and maintain automation infrastructure that supports data and platform operations
Design systems that help automate engineering and data workflows
Write unit and integration tests for backend services and workflows
Collaborate with analysts and product teams to translate complex workflows into scalable systems
Participate in improving engineering standards, testing culture, and development practices
Drive the next generation of automation across the platform by designing AI-driven and agentic workflows that enhance how our engineering and data systems operate
Your Day-to-Day Work
Developing backend services and APIs
Optimizing queries and data processing workflows
Building reliable systems for processing large-scale data
Designing and implementing automation processes across data and engineering workflows
Supporting AI-driven and agentic automation initiatives across internal systems
Writing automated tests to ensure system stability
Collaborating with engineers in Israel and global teams

As our Senior Data Engineer you will handle Big Data in real time, and become the owner and gatekeeper of all data and data flows within the company. You will bring data ingenuity and technological excellence while gaining a deep business understanding.

This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, modern-cloud, data-oriented environment.

Implement robust, reliable, and scalable data pipelines and data architecture.
Own and develop DWH (petabytes of data!).
Own the entire data development process, including business knowledge, methodology, quality assurance, and monitoring.
Collaborate with cross-functional teams to define, design, and ship new features.
Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
Develop tailor-made solutions as part of our data pipelines.
Lead complex Big Data projects and build data platforms from scratch.
Work on high-scale, real-time, real-world, business-critical data stores and data endpoints.
Implement data profiling to identify anomalies and maintain data integrity.
Work in a results-driven, high-paced, rewarding environment.

Design, scale, and operate high-throughput, low-latency services to support high scale of ingestion, augmentation, continuous ML training, and real-time prediction.
Design, implement, deploy, and own E2E cloud clusters, services, and infrastructure to support extreme workloads and traffic flow while maintaining a lean design and low-maintenance architecture.
As all our systems are data-driven, you will have an analytical aspect in measuring your modules both business- and performance-wise.
Build internal simulation tools and validation endpoints that let the team test changes against live traffic before they ship.
Work side by side with data scientists and researchers - designing, implementing, and owning entire areas of the system from prototype to production.
Technological superiority is what gives us our edge, so you'll work and stay up to date with the latest tech and trends.

We're looking for exceptional engineers with strong back-end fundamentals and proven experience building high-scale distributed systems to join us at Hola, where we offer a unique and widely used VPN service that serves millions of users around the world with a strong focus on privacy, performance, and innovation. In this role, you will solve hard engineering problems on a large-scale visual challenge solving platform that spans orchestration services, computer-vision inference, and cloud infrastructure. You will take full ownership of critical systems, from design to production, in a fast-paced and professional agile environment.

Responsibilities
End-to-end design, development and ownership of critical back-end services, from architecture to production.
Participate in system design and architecture planning, for optimal software performance, scalability and reliability.
Solve complex engineering problems: distributed state, concurrency, tail latency, fault tolerance and high-throughput pipelines.
Debug production issues end-to-end across services: gRPC channel churn, DNS/ASG failover, Redis queue backpressure, worker saturation and memory fragmentation.
Design and maintain solver logic for complex visual challenges: image grids, drag-and-drop, object detection and browser automation.
Build and optimize pipelines integrating OpenAI reasoning, computer-vision inference, Redis Streams, MongoDB session tracking and S3 screenshot archival.
Take on independent responsibilities, while contributing to the team's collective goals.
Actively learn, adapt and stay up-to-date with the evolving tech landscape, including best practices.

were looking for a passionate Tech Lead to join our collaborative team.

Youll be at the forefront of innovation-designing scalable solutions, guiding architecture, and driving technical excellence as we deliver world-class experiences to millions of sports fans around the globe.

Responsibilities
Design robust APIs and services for a vast user base
Architect and guide performance optimization, security, and scalability strategies
Analyze and process large datasets in near real-time to deliver insight
Oversee data pipelines that power real-time push notifications for a global user base
Provide a technical specification for complicated features
Support development team, delegate tasks, and resolve technical blockers
Perform code reviews to ensure best practices are followed and offer constructive feedback for continuous improvement.
Ensure high code quality, maintainability, and test coverage (unit/integration tests)
Own the delivery of releases all the way to production
Help manage hiring process and onboarding of developers

For this role, we are looking for a R&D Software Engineer - Core Processor who is both an experienced engineer and a great people person.
Someone who can evaluate existing workflows, devise and communicate new solutions, own and deliver them, taking our company to the next level.
Responsibilities:
Actively investigating, understanding, and challenging workflows in the company, interacting daily with software and hardware engineers.
Continuously suggesting and delivering new ideas to enhance and improve our products and the work of engineering teams.
Driving the adoption of AI capabilities and modern practices across chip design, verification, and software teams.
Partnering with engineering teams to plan, develop, and deliver high-quality software infrastructure in a complex hardware + software environment.