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We are seeking an experienced and motivated CAD Engineer to join our CAD development team. We are looking for candidates with a strong hardware background and robust software skills, passionate about advancing the development and application of non-EDA tools for circuit analysis. This role involves deep studies of circuit behavior at both the standard cell (STDCELL) and block levels, and offers the opportunity to collaborate with multiple teams across us.

What Youll Be Doing:

Develop and maintain CAD solutions for both transistor-level and block-level circuit analysis.

Conduct studies of circuit behavior at both STDCELL and block levels, informing tool development and design improvements.

Work with our quality teams on transistor-level analysis to enhance circuit reliability and performance.

Work with other teams to identify, develop, and deploy advanced CAD solutions addressing design challenges.

Engage directly with design projects, leveraging CAD tools to solve and improve complex circuit design challenges.

We are looking for a Design Integration Engineer to join our GPU Network Team within the Chip Design Group. This is an exciting opportunity to be part of a growing and expanding team that is shaping the future of GPU networking silicon. Youll work in a dynamic, technology-driven environment where your contributions make a real difference,

with opportunities for growth, learning, and leadership.


Join one of the most desirable employers in the tech industry and help us build the next generation of GPU networking silicon.

What youll be doing:

Drive chip-level integration for advanced GPU networking silicon projects.

Collaborate with architecture, RTL design, verification, FV and physical design teams to ensure seamless integration and optimal performance.

Develop and maintain integration flows, methodologies, and automation to improve efficiency and quality.

Perform RTL synthesis, timing analysis, and support verification and post-silicon activities.

Handle Clock Domain Crossing (CDC) checks and ensure robust design practices.

Work closely with multiple teams across architecture, micro-architecture, backend, and firmware to deliver high-quality silicon.

Contribute to state-of-the-art technologies delivering industry-leading throughput and ultra-low latency for GPU networking solutions.

We are looking for a highly skilled AI Engineer with a strong engineering mindset to bridge the gap between research and production.

In this role, you will be responsible for validating AI models developed by our Data Science team against real-world production systems, and then leading their optimization, deployment, and ongoing maintenance.

You will be part of the R&D team, working closely with engineers, data scientists, and product managers to ensure our AI solutions are scalable, reliable, and deliver long-term value.

If you enjoy working at the intersection of AI and engineering bringing models to life in production, optimizing for performance, and building reliable systems this role is for you!

Responsibilities
Lead the transition of AI models from proof-of-concept to full-scale production, ensuring they meet architectural, scalability, and performance standards.
Build observability and troubleshooting tools for AI services in production, including logging, performance tracking, and failure analysis pipelines.
Optimize inference performance, including latency, resource usage, and throughput, while maintaining model quality.
Manage model versioning and deployment readiness, including handoff processes, rollback plans, and configuration management.
Partner with the Data Science team to assess model readiness for production, validate input and output compatibility, and ensure assumptions align with real-world system behavior.
Collaborate cross-functionally with DevOps, backend engineers and data scientists to ensure scalable, secure, and cost-effective deployment of ML models

We are looking for a skilled DevOps Engineer to join our R&D infrastructure team and play a key role in building and scaling cloud-based platforms. In this position, you will design, implement, and maintain modern CI/CD pipelines, manage multi-cloud environments, and support microservices-based architectures. You will work closely with developers, QA, and product teams to streamline delivery processes, improve system reliability, and ensure smooth deployments. This is a hands-on role where you will directly influence the stability, scalability, and efficiency of our production systems while leveraging cutting-edge technologies across AWS and Azure.

Responsibilities
Infrastructure as Code (IaC): Develop and maintain infrastructure using tools like Terraform, Ansible
Cloud Infrastructure Management: Deploy, manage, and monitor applications in cloud environments(aws and Azure)
Collaboration & Support: Work closely with developers, QA, and product teams to streamline releases and improve productivity.
Provide technical support for development and operations teams during incidents and deployments.
CI/CD Pipeline Management:
Design, implement, and maintain continuous integration and delivery pipelines. Automate build, test, and deployment processes to improve speed and reliability.

We are looking for a forward-thinking Data Scientist with a passion for Generative AI (GenAI) and emerging AI technologies. This role is ideal for those who thrive in rapid prototyping, proof-of-concept (PoC) development, and iterative experimentation. You will work across multiple projects, transforming innovative ideas into practical AI solutions while engaging with clients for feedback and improvement.

Responsibilities
Generative AI Innovation & Research: Design PoCs with LLMs, RAG, RL, and agent-based AI. Apply emerging AI methods to real-world business needs.
Prototyping & Implementation: Translate research into scalable prototypes and production solutions. Ensure models are efficient, adaptable, and enterprise-ready. Lead integration, A/B testing, and phased rollouts.
AI Engineering & Deployment: Architect scalable GenAI solutions for banking. Own the full lifecycle: deployment, monitoring, incident response. Build dashboards, detect model drift, and integrate feedback loops.

Were dedicated to continually improving our product and providing relentless customer service. We are always looking for exceptional talent to join us on the journey!

Responsibilities:

Design and develop tools for managing and applying DevOps principles, such as CI/CD automation and IaC.(Infrastructure as Code) on our Cloud-based production systems.
Maintain and optimize the application layer of a multi-DC environment.
Manage various infrastructure applications K8, Kafka, Redis, and others.
Deliver solutions, architectures, and automation Nuvei Application.
Conduct research to bring innovative solutions to a complex environment to improve processes and tech stack.
Leading cross-functional projects and initiatives.
Application and infrastructure logging and monitoring solutions.
Join the on-call duty 24X7.

Key Responsibilities:
Automate build, test, and deployment processes to ensure quick and reliable software delivery
Deploy and manage scalable applications in containerized environments using Docker and Kubernetes.
Implement and maintain monitoring solutions using tools like Prometheus, Grafana
Ensure the security of infrastructure and pipelines by implementing best practices for access control, encryption, and vulnerability management.
Have fun with a great team while tackling hard challenges.

We are looking for the best of the best talent that is capable of dreaming out of the box and can execute on the dream and turn it into real value for our customers.
Were looking for a software engineer with a passion for software development, excellent design/coding/debugging skills and the ability to mentor and guide junior engineers.
The Infra group provides core components for our products. We design and develop the Infra for a large-scale distributed system. For example, we own areas related to high-avialability, data-managment, security and telemetry.

Develop and optimize high-performance software for AI datacenter networking, implementing NOS enhancements, smart NIC integration, and specialized routing features for AI workloads.
Key Responsibilities
Implement network operating system features for AI-optimized switching scenarios
Integrate smart NIC solutions for end-to-end AI-optimized networking
Create monitoring and telemetry collection mechanisms for datapath analysis
Implement load balancing algorithms optimized for AI workload patterns
Debug and optimize datapath performance bottlenecks
Collaborate with QA teams on feature testing and validation.

we are looking for an AI Platform Engineer to revolutionize engineering productivity and drive AI-powered innovation across the organization. This role is part of our Platform Engineering initiative, focused on enabling engineers and product teams with cutting-edge AI tools, automation, and scalable AI platforms.
If youre an innovator at heart, passionate about leveraging AI to solve complex problems, and thrive in an environment where experimentation and entrepreneurship are encouragedthis role is for you.
Responsibilities:
 Develop and integrate AI-powered solutions to enhance engineering productivity, automate workflows, and improve developer efficiency.
Evaluate and implement state-of-the-art AI platforms (ChatGPT, Claude, Gemini, custom models) to solve engineering and operational challenges.
Design and maintain AI-driven internal platforms such as knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots.
Work alongside engineering, DevOps, and product teams to embed AI into everyday development workflows.
Lead Proof-of-Concept (PoC) projects, experimenting with LLMs, generative AI, and automation frameworks to create tangible business impact.
Stay ahead of emerging AI trends, researching and implementing cutting-edge AI models and tools.
Build scalable AI infrastructure that integrates with cloud environments (AWS, GCP, Azure) and engineering toolchains.
Promote a culture of innovation, empowering teams to embrace AI-driven solutions and fostering AI adoption across the organization.

We are looking for a talented and motivated Software Engineer to join our newly formed team developing orchestration tools and platforms for AI datacenters.
The main goal of this team is to create customer-focused orchestration solutions that simplify the deployment, management, and optimization of large-scale AI workloads across a full datacenter stack including switches, hosts, smart NICs, GPUs, ROCm, and RCCL.
You will work on the design and development of orchestration systems that bridge compute, networking, and AI acceleration domains, primarily using Python and modern full-stack technologies.
Key Responsibilities
* Design and develop software components for orchestration platforms managing AI datacenter infrastructure.
* Implement control and coordination mechanisms for compute, network, and AI acceleration resources.
* Develop backend services, APIs, and UI components using Python and modern full-stack frameworks.
* Collaborate with cross-functional teams including networking, GPU, and system software to integrate orchestration capabilities across multiple layers.
* Participate in architecture discussions, code reviews, and continuous integration processes.
* Contribute to testing, validation, and performance improvements of orchestration systems.
* Engage with product and customer teams to translate operational needs into effective software solutions.

We are looking for an experienced Engineering Team Leader to drive and oversee the development of our infrastructure platform.
You'll lead a team focused on building Python-based microservices, infrastructure automation, and cloud-native solutions.
This role combines technical leadership with hands-on development, emphasizing strong Linux expertise and distributed systems knowledge.
The Infrastructure group focuses on developing scalable microservices architectures and automation systems that power our platform. As the team leader, you'll guide the development of Python-based services while ensuring robust infrastructure practices.

Were looking for a talented Software Engineer to join our CI team, a dedicated software engineering team within the DevOps group. Our team designs, builds, and maintains the systems that power our continuous integration (CI) environment including developing AI-driven agents to enhance and optimize CI workflows.
The ideal candidate has a strong software engineering background and an interest in building tools, systems, and services that support large-scale development environments.

We are looking for a Team Lead to join our Network Orchestration group. Our group is responsible for developing scalable, high-performance distributed systems that support complex network infrastructures.
As a Team Leader, you will drive the architecture, design, and development of critical components of the system. You will lead a team of frontend engineers, define best practices, and ensure the scalability and maintainability of the system
Our group is growing, and you will play a key role in building and expanding the team. You'll have the opportunity to optimize and enhance key parts of our system, leveraging the latest tools and infrastructure to drive innovation and efficiency.
Responsibilities
Lead & mentor a high-performing development team in building advanced, scalable software solutions.
Collaborate closely with development teams to provide seamless integration across applications.
Work closely with QA to implement best practices for testing and automation, ensuring high software quality and reliability.
Coordinate with Product Managers to align development with business priorities and roadmap planning.
Engage with UI/UX Designers to ensure an intuitive and high-quality user experience.
Define and enforce best practices, coding standards, and architectural guidelines for frontend development.
Stay updated with industry trends and emerging technologies to drive innovation in UI infrastructures.
Work with CI/CD pipelines to automate testing, deployment, and monitoring of UI libraries.