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we are looking for a Graph Compiler Software Senior Team Leader.
As a Graph Compiler Software Manager, you will lead the development of next-generation graph compiler technology. This compiler is a cornerstone of AI software offering, empowering customers to optimize, map, and execute complex neural networks across architectures with extraordinary efficiency. You will lead a group of talented engineers and team leaders working across domains such as compiler optimizations, graph-level transformations, operator mapping, scheduling, and code generation. We are seeking a visionary and technically strong leader with passion for excellence and impact in one of the most fascinating areas of AI and deep learning.
Key Responsibilities:
Lead the design and implementation of innovative graph compilation flows for AI workloads, from high-level optimizations to hardware-specific backends. Build and guide a strong, innovative, and results-driven compiler team that thrives on solving complex technical challenges. Collaborate with hardware architecture, VLSI, and software framework teams worldwide to ensure seamless integration and maximum performance. Lead the end-to-end delivery of graph compiler components while meeting aggressive KPIs. Establish and execute group planning processes to ensure timely and high-quality delivery. Provide technical and managerial guidance to team leaders and engineers. Define and drive compiler optimization strategies for AI and deep learning workloads.

We are seeking a visionary Director of Engineering with a strong product mindset to lead the strategy, development, and scaling of our Software Supply Chain security product. As a Director of Engineering, you will lead teams building an enterprise-grade Software Composition Analysis solution, meeting the growing needs of our customers and supporting the ever-evolving development ecosystem.
As a Director of Engineering at our company, you will.
Build, lead, and mentor multiple cross-functional teams of developers to deliver a scalable and reliable product
Foster a culture of collaboration, automation, and continuous improvement within the engineering organization
Define and implement procedures and workflows, enabling rapid innovation alongside ensuring enterprise-grade quality of the delivered product
Architect and deliver an enterprise-grade solution that operates in both SaaS and self-hosted environments
Partner with engineering leaders, product teams, and business stakeholders to ensure successful product adoption by the customers.

The Storage Technologies Quality Engineering team within our CoreOS organization is looking for a results-oriented leader with strong technical and interpersonal skills to lead a team of Quality Engineers with a focus on our Software Updates validation. The person in this role will work closely with Engineering, other QA, and cross-functional managers on delivering the highest quality experience for all our products!
As a member of our dynamic group, you will have the unique opportunity to be part of validating our Software Updates components. You will be responsible for ensuring features and performance are maintained at the highest standard.

You will be managing a team of Software Development Engineers in Test, focusing on white box testing for all our Platforms. You will drive the testing, data gathering, and project reporting for your team. You will coordinate testing with other teams, review test plans and related documentation, monitor progress, and provide sign-offs on all presubmission and release milestones. You will process data from multiple sources, draw meaningful conclusions, and present valuable recommendations to leadership. You will also be expected to contribute as an individual contributor!

Responsibilities:
Manage a team of Development Engineers in Test.
Develop, modify, automate complete test strategies, plans, and programs
Coordinate testing between multiple sites.
Drive quality initiatives for areas of responsibility.
Actively participate in testing the work you're doing.

we are looking for a Software Simulator Developer.
In this role, you will learn and deeply understand the AI fundamentals and create tools that simulate AI neural network processor implementation.
In addition, you will perform in-depth analysis and optimization to the simulator, to ensure simulator performance and accuracy for various processors architectures.
The project is using C/C++ OOP as main development language as well as python for AI neural network
Development platforms are Linux and Windows based.
Responsibilities:
Taking part of innovative, agile, top-notch Software organization, designing Neural Network Processor (NPU) simulator in close collaboration with the architecture, algorithms, system and hardware teams.
Design and develop simulation software solutions allowing customers to run most advanced AI networks efficiently on NPU software simulation.

Required FinOps Engineer
Job Description
As a FinOps Engineer, you'll be responsible for managing and optimizing the financial aspects of our cloud computing operations, including monitoring and controlling AI-related costs. In this role, you will work collaboratively as part of a team, demonstrate initiative, think creatively, and drive innovative solutions. You'll work closely with the CFO and VP of R&D to ensure cost efficiency, budget adherence, and financial transparency across our cloud services.
In your day-to-day, you will:
Work directly with different external hosting providers to manage hosting costs
Manage and monitor cost visibility for multi-data center architecture in a large-scale, multi-cloud environment
Work with financial teams on production-related budgets, forecasts, and expense reports
Create financial models to calculate TCO of new projects
Create financial and usage dashboards, as well as frameworks for efficiency & costs
Partner with the development, support and devops teams to encourage financial responsibility
Stay updated on industry trends and best practices in cloud cost optimization and FinOps methodologies.

Develop and maintain a B2C Flutter mobile app with strong focus on performance, scalability, and UX Build new apps based on existing architecture and codebase Ensure cross-device compatibility, accessibility, and responsiveness Translate product vision and Figma designs into clean, scalable, maintainable code Support and improve CI/CD pipelines (Azure)

We are looking for a strong Senior DevOps Engineer to join the hunt!

Responsibilities:

Actively participate in hands-on technical tasks, contributing to the development, deployment, and maintenance of our observability platform.
Design, implement, secure and maintain the infrastructure, CI/CD pipelines, and deployment processes to support the platform on SaaS/ST/On-Prem deployments.
Take full end-to-end responsibility for all infrastructure related projects
Collaborate with the development, SE, QA, and product teams to ensure smooth integration, testing, and deployment of software releases.
Drive automation and scalability efforts to optimize system performance, reliability, and availability.
Continuously monitor and improve the observability, monitoring, and logging systems to ensure the stability and performance of the platform.
Stay up-to-date with the latest industry trends and technologies, and evaluate their potential impact and benefits for .
Manage and maintain environments across AWS and other public cloud providers

As a Mobile App Software Developer, you will join our team at the forefront of creating a cutting-edge solution that connects the physical world with the digital one. Your work will directly impact our ability to scale and grow, developing new mobile capabilities and driving innovation. You will tackle interdisciplinary challenges alongside a dedicated team, leveraging sharp problem-solving skills to bring these advanced solutions to production.

You will be responsible for developing world class multi-drone mission software running on mobile devices, flying drones autonomously and connects them with the cloud
You will work end-to-end, writing code for both the mobile app and the server side
Collaborate with an interdisciplinary team for the development of cutting edge software features from inception to release
Work in an Agile team, manage tasks and complete them through TDD, continuous integration as well as modern development processes
Make an impact on the innovation that vHive brings to drone field operations

We're building a new Engineering Platform team designed to accelerate every business and engineering function at our company.
As a senior Platform Engineer, you will design and build cloud infrastructure, internal developer services, AI powered automations and more to make our teams faster, autonomous and more productive.
Responsibilities
Build and evolve platform services that improve developer experience (devEx), reliability and engineering productivity while being secured.
Develop AI-driven tools and automation: internal agents, workflow orchestrators, intelligent integrations and internal assistants based on AWS infrastructure.
Integrate platform components with .NET and Python services running on AWS.
Own core cloud infrastructure using automation and Infrastructure-as-Code (Terraform/CloudFormation).
Deliver scalable, secure, and cost-efficient cloud solutions across multiple domains.
Create self-service capabilities that allow product and engineering teams to move independently.
Partner with security, DBA, DevOps, product and business stakeholders to build cross-organizational solutions.
Establish reusable templates, engineering best practices, and inner-source contribution models.

Were looking for a DevOps Engineer to lead core modernization initiatives that define how our R&D teams build, ship, and operate high-scale systems.
Youll tackle complex modernization challenges, including migrating legacy systems, scaling across multiple domains, and operating a large multi-account AWS environment.
Responsibilities
Design and evolve a multi-account AWS environment supporting real-time, consumer-facing workloads used daily by millions of users
Ensure scalability, reliability, security, observability, and cost efficiency across production systems
Lead Terraform standardization across R&D, building reusable modules, patterns, and governance
Lead CI/CD modernization initiatives, including transitions to new tools and delivery platforms
Design secure, company-wide CI/CD workflows enabling faster, safer, and more autonomous releases
Build tools, templates, and guardrails that increase developer autonomy and delivery velocity
Lead complex modernization projects involving large-scale systems, multiple domains.
Integrate AI-assisted tools to improve developer productivity.
Work cross-functionally to remove friction, streamline delivery pipelines, and influence engineering standards across teams.

We are seeking a highly motivated High-Performance System Architect to join our team of experts and help shape the future of high-performance and ML / AI computing. Our next-generation NVL systems will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used at almost every industry today, such as car and Pharmaceutical. As a high-performance system architect, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world.

What youll be doing:

Define the NVL system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).

Research of various solutions to enable the next large-scale-high-performance computing clusters. The position spans over various layers from algorithms, software, firmware, and HW.

Developing models for simulations and performance testing, analysing the results and development of future HW and SW.

Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

Our DOCA team is seeking a highly motivated and hardworking experienced Engineer with hands-on capability technical experience, to design and implementation the SDK of the next generation Data Processing Unit Software, with a wide range of features related to cybersecurity and embedded systems.

This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting data centers across the world. At NVIDIA, We're united in our quest to transform the way Smart Adapters are used.

What you'll be doing:
Work with some of the best engineers to design and implement DOCA SDK and infrastructure.
Responsibility for the E2E development of DOCA SDK features.
Design and develop SDK libraries for networking, storage, cyber security, and high-performance computing.
Work with big companies to solve real issues that require innovation and customer orientation.

We are looking for an HPC and AI Data Center Engineer to join the networking cloud solutions HPC/AI Infrastructure team. We are focused on building supercomputers and HPC clusters based on groundbreaking technologies. We are looking for a lab manager, be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing. Take part of building large-scale compute and Deep Learning software and hardware platforms, work together and support many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions.

What you will be doing:

Plan and build complex cluster and supercomputers in various of data center and labs.

Rack stack and cable management to ensure efficient use of space and easy maintenance.

Ensure data centers and labs power and cooling efficiency while optimizing rack space utilization.

Data centers and labs daily operation and support.

Installations for variety of infrastructure and solutions - Cloud, VMs, Storage, Network, HPC and AI.

Perform troubleshooting - network, optic cabling, bare metal, operating system.

Support Research & Development activities.