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We are looking for an experienced Team Lead for the NIC FW verification infrastructure team. In this role, you will lead the verification infrastructure - ensuring testing infrastructure stability, scalability, and continuous improvement - while guiding the development of advanced modules and methodologies. You will be responsible for driving the teams technical direction, supporting the evaluation of data and control path for new features, and ensuring high-quality deliverables that meet the expectations of industry-leading customers. As a leader, you will mentor and grow a team of engineers, foster a culture of ownership and execution, and collaborate closely with NVIDIAs networking NIC FW teams.

What you will be doing:

Lead and drive team execution end-to-end, combining managerial ownership with hands-on technical contribution - including ownership of the verification testing domain, its flows, coverage and the regression cycle.

Develop deep expertise in NVIDIA technologies, with a strong focus on FW functionality with corresponding interfaces with HW and SW.

Drive team execution by setting clear priorities, removing blockers, and ensuring high-quality, timely delivery - while maintaining a high bar for technical excellence and clearly communicating priorities, trade-offs, and status to stakeholders.

Define and continuously improve testing methodologies, including leading retrospectives for missed bugs to identify gaps - driving actionable changes to test coverage, flows, and verifiers.

Act as a technical leader within the team, contributing to design discussions, mentoring engineers, and actively participating in high-level design and code reviews.

We are looking for a talented, experienced, and passionate engineer to join the Idira EPM Agents group as a Developer. This role involves working on EPM, a combined solution for application control, privilege management, and threat detection, within a highly talented, cross-functional, agile-oriented development team. The ideal candidate will demonstrate high professional skills, a team-player mentality, and a continuous drive for new knowledge and excellence.
Key Responsibilities
Deep dive into complex system areas to analyze, propose, and build effective solutions.
Own and maintain code at the highest quality and security standards, including developing unit tests and automation.
Collaborate effectively within a cross-functional, agile development team.
Demonstrate excellent design, analytical, and problem-solving capabilities.

We are looking for an outstanding engineer to join our software architecture group and help shape the next generation of our networking products, SmartNICs, and DPUs. In this role, you will work closely with system architects, software/firmware engineers, hardware designers and product stakeholders to define component-level and system-level solutions for advanced datacenter platforms.

You will join a team working at the intersection of AI networking, virtualization, operating systems, security, management, and programmable acceleration. Our mission is to push the boundaries of modern datacenter infrastructure and help define the platforms of tomorrow.

What Youll Be Doing:

Work with architects and engineers to define software architecture for our networking devices, SmartNICs, and DPUs.

Analyze system requirements across networking protocols, virtualization, operating systems, security, management, and services.

Research new ideas, evaluate design alternatives, and build proof-of-concept models, simulations, and prototypes.

Collaborate with software, firmware, and hardware teams on HW/SW co-design, performance, scale, and resource-utilization challenges.

Learn complex datacenter technologies and turn them into clear architecture proposals, design documents, and technical presentations.

We are seeking an energetic and versatile Principal Software Engineer to join our elite team responsible for building our Identity Directory Service and User Management platform. In this role, you will be a core technical authority using AWS architecture, AWS CDK, and .NET to design, develop, test, secure, and deploy high throughput, production ready cloud services from planning to production.
Working in full collaboration with security architects, product managers, and cross functional development teams, you will produce complex and advanced SaaS services that satisfy demanding scalability, security standards, and Non-Functional Requirements (NFRs).
Your Impact
System Architecture & Design: Lead the architectural design and system implementation of cloud-native, distributed microservices using AWS and .NET following secure-by-design principles.
SDLC Mastery: Practice all aspects of the software development lifecycle within an agile, continuous-delivery environment.
Research & Innovation: Spearhead research into modern cybersecurity mechanisms, evaluate emerging tech stacks, and pioneer cut-edge solutions to solve complex platform bottlenecks.
Technical Mentorship: Drive engineering excellence through code reviews, design discussions, and active coaching to uplevel engineers across the team.
Quality & Scalability: Participate in continuous and iterative engineering cycles with a heavy focus on code quality, testability, supportability, performance, and cost optimization.

we are seeking a senior leader to establish and grow its Databricks practice. This is a unique opportunity to build and lead a strategic Data & AI capability within a leading consulting firm, shaping its vision, offerings, team, and market presence.
The role combines business leadership, solution architecture, and client engagement, helping organizations leverage modern Data & AI platforms to drive transformation and innovation.
Job description
Lead and expand EY's Databricks practice, including strategy, capability development, team growth, and go-to-market initiatives.
Design and oversee enterprise-scale Data & AI solutions, including Lakehouse architectures, data modernization programs, and AI-driven platforms.
Build trusted relationships with senior stakeholders, lead business development efforts, and drive complex technology engagements.
Lead the successful delivery of large-scale Data & AI projects while mentoring and developing high-performing teams.

We're looking for a Senior Full Stack Engineer (Frontend Oriented) to join our growing team.
Responsibilities
Design & Build modern, scalable frontend applications with React and TypeScript, delivering seamless user experiences for developers.
Develop & Maintain the design system closely with Product and UX, ensuring consistency, usability, and alignment with user needs.
Manage State at Scale using frameworks such as Redux, React Context, or React Query to support high-performance, complex applications.
Contribute Across the Stack with hands-on coding in Python and work on AWS cloud infrastructure where needed.
Collaborate closely with product, security, and backend teams to translate requirements into elegant and performant technical solutions.
Own Delivery end-to-end: architecture, implementation, automated testing, CI/CD, and production monitoring.
Champion Best Practices around code quality, documentation, accessibility, observability, and security-by-design.
Mentor & Guide teammates, sharing knowledge on modern frontend patterns and cloud-native development.

As a Senior or Principal Software Engineer in Cortex Cloud, you will contribute to the development and scaling of cloud-native security solutions for enterprise organizations. This role involves working within an established team to evolve a high-traffic product, with a focus on refining architecture, optimizing the technology stack, and maintaining engineering standards.
Your responsibilities include writing reliable code, influencing product direction, and designing distributed systems. You will be expected to make technical decisions that impact the long-term stability and performance of cloud workload protection services.
AI Integration & Engineering Workflow
A core component of our development process is the use of AI. Rather than basic code completion, we integrate AI assistants as functional components of our workflow. Our team utilizes a multi-agent AI system (IDEX/ProDex) that assists across the development lifecycle: from planning and architecture to code analysis and security reviews.
In this role, you will:
Work with AI Tools:Utilize platforms such asGemini, Claude, and Cursorfor tasks beyond code generation, including root-cause analysis, system design reviews, and architectural assessment.
Develop AI-Augmented Workflows:Help refine how AI is integrated into the SDLC, including the orchestration of agents and the development of internal tools that extend AI capabilities across our codebase.
Maintain Quality Standards:While AI assists in increasing velocity, you are responsible for the technical output. This includes critical review of all generated code and ensuring that AI-assisted work aligns with our architectural requirements and security benchmarks.
Interact with Specialized Agents:Coordinate with AI agents (Product, Architecture, Security) that operate on shared context to assist in managing complex engineering tasks.
We are looking for engineers who are interested in leveraging AI as a technical tool to manage complexity and who want to contribute to the practical application of human-AI collaboration in a cloud environment.

We are looking for an outstanding Senior Networking Software Architect to join the NIC/DPU Software and Firmware Architecture group. In this role, you will help define the next generation of our datacenter and AI networking platforms, with focus on DPU management, QoS, performance, telemetry, and software architecture across stacks. You will work closely with hardware designers, firmware/kernel driver teams, system engineers, validation, product management and customers. The role spans early architecture definition, pre-silicon design, bring-up, and production readiness for large-scale AI and cloud datacenter deployments.

What Youll Be Doing:

Own software and system architecture for next-generation DPU management, QoS, performance, telemetry, and observability features.

Define end-to-end control and management flows across DOCA, host drivers, embedded firmware, BMC, management controllers and external management systems.

Specify telemetry and observability requirements, including counters, logs, traces, events, health monitoring, debug data, and streaming telemetry.

Define management interfaces and APIs for configuration, provisioning, lifecycle operations, diagnostics, and field serviceability.

Write clear architecture specifications, interface definitions, flow diagrams, and design documents for software, firmware, and system teams.

Partner with R&D teams to translate high-level architecture into implementable designs and guide features through development, validation, silicon bring-up, and production.

Analyze system performance bottlenecks, interoperability issues, telemetry gaps, and customer-reported issues, then feed learnings into future architecture.

Collaborate with system and cluster architects to ensure NIC/DPU features fit end-to-end AI datacenter and cloud networking designs.

Were looking for a Senior Backend Engineer to join our growing team.
Responsibilities:
Design and build scalable backend services and APIs that power our open security platform.
Develop serverless architectures on AWS, focusing on reliability, performance, and scalability.
Collaborate closely with product and security teams to translate requirements into clean, effective technical solutions.
Own delivery end-to-end: architecture, implementation, automated testing, CI/CD, and production monitoring.
Champion best practices around code quality, documentation, observability, and security-by-design.
Contribute to technical discussions and share knowledge with teammates on backend architecture, cloud infrastructure, and development best practices.

Your Career:
We are seeking a high-impact Sr. Staff Software Engineer to drive technical strategy, execution, and delivery within our Data & AI Platform team. In this role, you will architect cloud-native infrastructure, establish R&D best practices, and consistently ship high-ROI platform services that power core solutions for both internal systems and enterprise clients.
Your Impact:
Technical Leadership & Delivery: Define R&D engineering standards and architecture principles while taking full ownership of end-to-end delivery for complex, production-ready initiatives.
Cloud & Data Architecture: Architect and build scalable, highly available solutions across major cloud environments (AWS, GCP, or Azure) leveraging modern data, streaming, serverless, and storage platforms.
AI-Driven Engineering: Integrate modern AI tools and autonomous agents into daily workflows to optimize development velocity, author reusable agent skills, and maintain contextual grounding for maximum efficiency.
End-to-End Ownership: Lead all phases of an AI-augmented Software Development Life Cycle (ASDLC)-from architectural design through automated testing, CI/CD deployment, and operations.
Cross-Functional Collaboration: Partner with product leaders and technical stakeholders to translate complex business needs into clear, high-value software deliverables shipped on schedule.
Mentorship & Culture: Elevate engineering standards across the org through architectural guidance, code reviews, and continuous knowledge sharing.

We are looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.

What you'll be doing:

Physical design of blocks according to specifications under challenging constraints targeting for the best power, area, and performance.

Be exposed and work on a variety of challenging designs (including high cell count and HS blocks). Resolving complex timing and congestion problems.

Daily work involves all aspects of physical design chip development (RTL2GDS) - synthesis, power and clock distribution, place and route, timing closure, power and noise analysis, and physical verification.

Taking part inflows development.

We are seeking a highly skilled and versatile Performance Research and Analysis Manager to join our Performance Group. This role will drive end-to-end performance strategy and execution for next-generation our data centers and solutions based on GPU systems, NIC, Switch, DPU and Networking technologies. The ideal candidate will oversee, evaluating, and optimizing end-to-end AI GPU cluster-level performance for scaling out large scale distributed training and inference jobs communication. The role will focus heavily on RDMA, Networking Protocols, Collective Communication, Congestion Control, and Load Balancing algorithms. Secondarily, you will lead our DPUs and Storage technologies for N-S use cases to support AI Inference jobs. Third, you will drive our Performance Dashboards and Observability for cluster-level performance analysis from a stream line telemetry across NICs, Switches, GPUs, and NVlink.

What you'll be doing:

Drive end-to-end performance strategy, characterization, test plans, and optimization for next-generation our AI GPU clusters, focusing on large-scale distributed training and inference workloads.

Deeply evaluate and optimize our Networking core technologies performance, including RDMA/PRDMA, networking protocols, collective communication (NCCL), congestion control, and load-balancing algorithms.

Work on performance research and analysis of NVIDIA DPUs and storage technologies in North-South (N-S) use cases and deployment scenarios to maximize performance and efficiency for AI inference jobs.

Drive the strategy for performance observability and dashboards across next-generation NVIDIA data center solutions and supercomputers by leveraging scalable, streamlined telemetry pipelines to build performance dashboards and automated analytics based on real-time performance metrics across NICs, Switches, GPUs, and NVLink boundaries.

Perform deep root-cause analysis (RCA) on complex multi-node performance bottlenecks, driving actionable mitigation plans across hardware, firmware, and software teams.