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We are looking for a Software Automation QA Engineer to join our Storage team. This position will be part of the QA team while the main goal is to test the Storage and Networking area, which enables our products to meet the industry-leading benchmarks of efficiency and quality. The ideal candidate will engage in testing of Storage and Networking drivers, be able to learn new features, execute manual and automated tests.
What you'll be doing:
Review arch design and requirements for new features
Design and execute tests for the new features, as part of software GA releases
Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by the R&D team, raise if not fixed
Execute tests in different scopes: regression, performance, functional, security. report the progress of testing and provide summary reports of testing activity
Define and build setups topologies for appropriate product coverage
Writing automation infrastructure in multiple frameworks (Python, Perl). Developing sophisticated, stable, automation frameworks to increase efficiency, re-usability, and flexibility. Enhancements & maintenance of each framework.
Schedule test runs, publish reports and analysis with detailed and specific bug reports for failures.

We are looking for a Senior Data Engineer to join the NSV (Network Solutions Validation) group. NSV builds high-performing software automation for our Data Center environments and helps drive the data growth of the world's biggest companies. In this role, you will design, build, and maintain scalable, high-performance data pipelines that handle massive volumes of data from hardware, communication modules, firmware, and large-scale AI and HPC clusters. You'll also contribute to our growing Agentic AI initiatives, helping develop AI Agents that bring our data capabilities to the next level.
What you'll be doing:
Define and execute the group's data technical roadmap, aligning with Infra, DevOps, and Performance teams
Design and maintain flexible ETL/ELT frameworks for ingesting, transforming, and classifying cluster verification and telemetry data
Build and optimize streaming pipelines using Apache Spark, Kafka, and Databricks, ensuring high throughput, reliability, and adaptability to evolving data schemas
Ensure data quality and pipeline health through observability standards, schema validation, lineage tracking, monitoring, and alerting
Deliver reliable insights for cluster performance analysis, telemetry visibility, and end-to-end test coverage
Support self-service analytics for engineers and researchers via Databricks notebooks, APIs, and datasets
Drive best practices in data modeling, code quality, and operational excellence; collaborate with cross-functional teams to support data-driven decision-making
Contribute to the development of AI Agents that enhance the visibility and accessibility of insights and data for our users.

We are looking for an excellent Firmware Verification Engineer for our FW PHY verification Group. The person will be part of FW PHY verification of our Products. Will closely work with our FW PHY development, architecture teams and gain deep understanding of our products and technologies.
What you'll be doing:
Own the responsibility for delivering Networking features and their verification aspects.
Define, develop and maintain verification infrastructure and regression tests suites - make test suites robust, maintainable and easy portable.
Work with continuous integration system, regression tools, automate builds, run test suites and analyzing results.
Innovate! Bring our product to next quality level.

The CPU team is a world-class, global organization united by a mission to push the boundaries of whats possible and shape the future of computing. We are looking for a talented, fast-learning and highly motivated Logic Design Engineer to join our team. As part of the core design team, youll take ownership of parts of the design and work closely with architecture, verification, and physical design teams, contributing to a fast-moving, technology-focused environment and helping shape future products.
What you'll be doing:
As part of the CPU core team, youll take ownership of a unit.
Contributing to the micro-architecture, writing RTL and documentation.
Working closely with verification and implementation teams to meet timing, area, performance, and power goals.

Our System Design Automation team is looking for an experienced Software Engineer with a passion for UX/UI and AI integration to join our engineering group. We are seeking a versatile developer who excels at building intuitive, user-centric software platforms and has a proven ability to seamlessly embed AI/ML solutions into production-ready tools.
The team develops and sustains a range of capabilities for our next-generation hardware platforms-bridging traditional software engineering with with AI-based automation and intelligent debugging solutions. Your role will be to ensure these advanced technologies are delivered through a cohesive system architecture and a superior user experience, accelerating issue resolution and improving product reliability for the world's most advanced GPU and data center technologies
What You'll Be Doing:
Architect, develop, and support end-to-end software tools across the full engineering stack-from robust backend services and data processing to intuitive, user-centric interfaces.
Design and implement agentic workflows-building multi-step, tool-using AI agents integrated into software platforms to enable autonomous reasoning and action.
Build and maintain scalable data pipelines and ETL flows for logs and telemetry data to support intelligent automation and AI/ML workflows.

we are seeking an experienced and visionary Data Science Team Lead to join our dynamic technology organization.
The successful candidate will lead a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions.
This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, exceptional leadership skills, and a passion for continuous learning and development.
Responsibilities:
Lead, mentor, and develop a team of data scientists both methodologically and technically to deliver high-impact projects aligned with business objectives.
Design, implement, and optimize classic machine learning models to solve complex business problems.
Apply gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs) to create innovative solutions for products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization.

We are always looking for exceptional talent to join us on the journey!
We are always looking for exceptional talent to join us on the journey!


Your Mission

As an MLOps Engineer at Nuvei, your mission is to design, build, and operate the platforms that power our machine learning and generative AI products spanning real-time use cases such as large-scale fraud scoring, MCP & agentic workflows support. Youll create reliable CI/CD for models and Agents, robust data/feature pipelines, secure model serving, and comprehensive observability. You will also support our agentic AI ecosystem and Model Context Protocol (MCP) services so that models can safely use tools, data, and actions across .
You will partner closely with Data Scientists, Data/Platform Engineers, Product, and SRE to ensure every model from classic ML to LLM/RAG agents moves from prototype to production with strong reliability, governance, cost efficiency, and measurable business impact.
Responsibilities:
Operate & Develop ML/LLM platforms on Kubernetes + cloud (Azure; AWS/GCP ok) with Docker, Terraform, and other relevant tools
Manage object storage, GPUs, and autoscaling for training & low-latency model serving
Manage cloud environment, networking, service mesh, secrets, and policies to meet PCI-DSS and data-residency requirements
Build end-to-end CI/CD for models/agents/MCP tooling (versioning, tests, approvals)
Deliver real-time fraud/risk scoring & agent signals under strict latency SLOs.
Maintain MCP servers/clients: tool/resource definitions, versioning, quotas, isolation, access controls
Integrate agents with microservices, event streams, and rule engines; provide SLAs, tracing, and on-call runbooks
Measure operational metrics of ML/LLM (latency, throughput, cost, tokens, tool success, safety events)
Enforce governance: RBAC/ABAC, row-level security, encryption, PII/secrets management, audit trails.
Partner with DS on packaging (wheels/conda/containers), feature contracts, and reproducible experiments.
lead incident response and post-mortems.
Drive FinOps: right-sizing, GPU utilization, batching/caching, budget alerts.

We are looking for a Product Data Director to lead our global product data strategy and governance. In this role, you will own the vision, implementation, and continuous improvement of how data is captured, structured, and leveraged across product ecosystem. Youll partner closely with Product, Engineering, BI, and Operations teams to ensure data excellence, enable data-driven decision-making, and unlock insights that enhance our products, customer experience, and business growth.
Responsibilities:
Develop and execute a comprehensive product data strategy aligned with business goals.
Define and own data standards, taxonomy, and governance frameworks across all product lines.
Partner with Product, BI, and Engineering to design scalable data models and infrastructure supporting product analytics, reporting, and performance tracking.
Lead a cross-functional data excellence initiative, ensuring high-quality, accurate, and consistent data.
Work with product managers to embed data-driven decision-making in product planning, experimentation, and optimization processes.
Oversee the implementation of data instrumentation and tracking for new product launches.
Collaborate with the Analytics and Data Engineering teams to ensure data availability and reliability across systems.

We are looking for a .NET developer to join our fast-growing Acquiring dev team. You will report to the ACQ Integration Team Leader and play a key role in enhancing the Acquiring system by developing innovative new features, contributing to our teams ongoing success and growth.
Responsibilities :
Participate in all aspects of software development, including designing, hands-on coding, implementing, debugging, deployment, and troubleshooting
Accountable for overseeing the complete lifecycle of new product features and components from inception to deployment
Provide mentorship for other team members
Conduct code reviews
Be a source of knowledge for the team members regarding the technical and business aspects of the daily work
Assist the team leader in any way that is required, including leading feature development and providing guidance for other team members
Define and enforce coding standards

we are seeking an experienced and visionary Data Scientist to join our dynamic technology organization. The successful candidate will be a part of a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, and a passion for continuous learning and development.
Responsibilities:
Gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) are used to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs), to create innovative solutions for products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization. Design, implement, and optimize classic machine learning models to solve complex business problems.

About the Position
We are seeking an experienced Senior Project Manager to drive execution across our Android malware research operation. The role covers project planning and delivery, day-to-day coordination across research and development teams, and direct communication with clients on active engagements. We're looking for a seasoned PM with a strong analytical background who can work with both technical teams and business stakeholders.
Key Responsibilities

* Plan, manage, and deliver malware research and development projects end-to-end - scope, timelines, milestones, risk management, and stakeholder communication
* Coordinate across research, development, and product teams to ensure smooth execution and clear handoffs
* Work with SQL and statistical analysis to measure project performance, throughput, and quality
* Partner with team leads to track delivery metrics and identify where the team needs support
* Serve as the primary point of contact for clients on active engagements, managing expectations, progress updates, and deliverable reviews
* Present project status and research outcomes to clients and internal stakeholders
* Refine operational processes, workflows, and quality standards for research delivery
* Track new employee onboarding and ramp-up progress on active projects

About us:
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, we provide 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.

We are now looking for electrical engineers who like to be part of high-end Optical Transceiver performance and reliability tests. This role will give you a rare opportunity to affect and deliver a new class of products, aimed at delivering data at incredible speeds, using high end solutions to lead the world of high-speed optical communication to new extremes.
What you'll be doing:
Hands on qualification activities and failure debugging for new optical products
Defining testing requirements for new products based on electrical and optical specifications
Leading data-driven discussions about the product functionality and areas for improvement
Working in front of various test teams, with the responsibility of addressing issues and monitoring the test flows conducted by them
Learning to use new technologies to enable improvement for generation to generation.

We are seeking a highly motivated and experienced Senior Tools/Regression Engineer to join our Qualification Hardware Group. We are looking for a dynamic individual who excels in complex software and hardware environments, brings innovation to the table, and is passionate about driving product excellence. In this role, you will collaborate closely with cross-functional teams, including hardware (HW), firmware (FW), and software (SW), to deliver high-impact solutions. You will be expected to take initiative, support team-wide goals, and develop tools, automation, and regression frameworks with a forward-thinking mindset.
What Youll Be Doing:
Take ownership of hardware setups and develop tools and applications to verify hardware projects, ensuring maximum coverage and automation of auxiliary systems.
Collaborate with multiple teams across software and hardware to define, plan, and deliver end-to-end solutions.
Take ownership of software regression, ensuring the delivery of robust tools and applications.
Contribute to large-scale SW/HW projects in a cross-platform environment.
Participate in the full software lifecycle - from architecture and design to bring-up and production.

We are now looking for a Chip Design & Verification Engineer to join our Switch Silicon team for Verification / Design roles. As a Chip Design & Verification Engineer at our Networking business unit, you'll join a group of passionate engineers to design, implement and verify the next generation state-of-the-art Switch Silicon chips. In this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!
What You'll Be Doing:
Work in a combined design and verification team which develops some of the switch silicon core units.
Micro-architecture for RTL and simulation environment planning for units and modules.
Design/Verify RTL units/blocks according to Arch. specifications under challenging constraints with high orientation to power, area, and performance.
Build reference models, verify, and simulate chip blocks/entities according to specifications.
RTL synthesis, timing, supporting verification, and silicon post TO activities.
Work closely with multiple teams within organizations such as Architecture, Full chip Micro-Architecture, BE, and FW.

We are seeking a Senior Software Engineer to join the Host-Based Networking (HBN) team. HBN is a high-impact product within the DOCA ecosystem, providing the networking foundation for the AI Factory and massive-scale GPU clusters. By offloading the networking stack to the BlueField DPU, our service enables hardware-accelerated, tenant-aware connectivity for the worlds most advanced AI infrastructure.
We are looking for a versatile engineer who is ready to lead technical initiatives and drive the development of networking systems that power the next generation of AI. If you are a quick learner with a passion for high-performance networking and complex system-level challenges, we want to hear from you.
What youll be doing:
Design DPU-Resident Services: Design and implement networking features for our containerized service running directly on the BlueField DPU platform.
Optimize System Performance: Develop and maintain the forwarding daemon, bridging Linux networking states with hardware acceleration for wire-speed performance.
Forwarding & Protocol Integration: Implement hardware-accelerated forwarding (e.g., VXLAN) and integrate with L3 control planes (BGP, EVPN) to support multi-tenant isolation.
System-Level Debugging: Analyze and resolve complex interactions between the HBN container, the DPU kernel, and low-level networking drivers.
Shaping Technical Direction: Partner with architecture teams to design and integrate next-generation networking features for production-ready hardware within the DOCA ecosystem.
Lead Technical Initiatives: Drive the software lifecycle of key components, from initial design through to large-scale deployment and production support.