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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.

We are looking for a passionate Senior Software Engineer to join our Chip Design CAD team. In this role, you will contribute and work on the interesting junction of electrical and software engineering, when developing SW tools and solutions used to design the next generation Smart Adapters, Switches and GPUs for the advanced data centers across the world.

What you'll be doing:
Develop innovative SW solutions.
Take part in defining methodologies affecting design and verification engineers day to day work.
Improve existing tools, which are used in-house by electrical engineers for designing the next generation leading AI chips, SoCs and Switches.
Collaborate with designers, verification specialists and architects to accomplish your tasks.

We are looking for a versatile Senior Software Engineer to join our DPU Platform team. This is an opportunity to make a significant impact in a technology-driven company that powers the worlds most advanced data centers. You will use your expertise in low-level embedded Linux software and boot flows to work with global development teams, solving the complex challenges involved in delivering high-power computing platforms.

What you'll be doing:

Designing and developing low-level system software with a primary focus on bootloaders (ATF, UEFI), firmware, and hardware initialization.

Working together with hardware and design teams to drive SoC bring-up and platform enablement.

Solving complex challenges related to boot sequences, system optimization, and hardware resource management.

Supporting various internal and customer DPU projects alongside our global teams.

Taking part in all stages of the product lifecycle, with a focus on high software quality and stability.

Collaborating within a global software environment to have a broad impact across the company.

We are looking for a passionate Software Engineer to join our Simulation development team. Our team is growing, and we are looking for hardworking and experienced engineers to take part in building advanced networking simulation solutions. You will be part of a team developing next generation Switch simulation, works closely with other SW R&D teams and SW Architects.

What you will be doing:

Design and develop advanced features simulating our world class NICs and Switches.

Develop solutions using advanced virtualization technology.

Write clean, efficient and maintainable code.

Collaborate with team members, SW R&D, Architects, Chip Design and FW.

We are looking for a passionate, modern software engineer or junior architect early in their career. The role involves developing and prototyping new scalable training and inference advancements using our Spectrum-X AI fabric.

This role offers a rare opportunity to work on innovative AI and networking technologies, building prototypes that influence the development of large-scale AI systems. You will help improve AI application-network interaction by refining communication, crafting congestion control, contributing to NIC and switch capabilities, and enhancing AI factory performance at scale.


What youll be doing:

Prototype end-to-end solutions to improve distributed training and disaggregated inference performance.

Analyze and optimize communication flows across application, transport, and network layers.

Develop system software spanning communication libraries, drivers, and firmware integrations.

Collaborate with hardware, firmware, and SDK teams to co-design network features.

Validate and integrate prototypes into our AI infrastructure and products.