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We are looking for a highly skilled and versatile Backend Engineer with deep expertise in network protocols and on-premises deployments to join our development team. As an On-Prem Backend Engineer, you will be responsible for designing, developing, and maintaining the on-prem infrastructure that runs in customer environments, ensuring robustness, security, and performance. You will collaborate closely with cross-functional teams to deliver mission-critical components that interact directly with complex network stacks.


Responsibilities:
Design, develop, and maintain backend services deployed on-premises within customer networks.
Implement and optimize network-centric functionality, including TCP/UDP, TLS, DNS, routing, proxies, and firewalls.
Work with Linux server internals (sockets, routing tables, iptables/netfilter, namespaces, eBPF) to support resilient and secure deployments.
Ensure smooth installation, upgrade, observability, and troubleshooting of on-prem components.
Troubleshoot and resolve issues in real-world customer environments, including debugging complex network problems.

We are looking for a highly skilled and versatile Senior Backend Engineer to join our development team. As a Senior Backend Engineer, you will be responsible for designing, developing, and maintaining the backend infrastructure and components of our platform. As part of your role, you will also work on the frontend aspects of our platform and collaborate with stakeholders and cross-functional teams to optimize full-cycle system performance.


Responsibilities:
Design, develop, and maintain backend systems and APIs to support our web applications.
Implement and optimize data storage solutions, including databases, to ensure efficient and reliable data management.
work closely with front-end developers to integrate backend functionalities and ensure a seamless user experience.
Collaborate with product managers, stakeholders, and cross-functional teams to gather requirements, translate them into technical specifications, troubleshoot and resolve backend-related issues, and optimize system performance.

We are looking for a highly skilled and versatile Full Stack Engineer to join our development team. You will play a crucial role in designing and implementing user-facing features and interfaces for our web applications. You will collaborate with cross-functional teams, including product managers and backend / other full stack developers, to create exceptional user experiences.


Responsibilities:
Design, develop, and maintain fullstack web applications with a focus on performance, scalability, and user experience.
Develop and consume RESTful APIs to support application functionality.
Ensure responsive design and cross-browser compatibility across platforms and devices.
Collaborate with cross-functional teams including Product, Design, QA, and DevOps to deliver high-quality solutions.
Build and integrate interactive UI components using modern frontend frameworks (Vue preferred, React also relevant).
Write clean, maintainable, and efficient code while following best practices and code review standards.
Troubleshoot, debug, and resolve technical issues across the stack.
Participate in agile development processes, including sprint planning, daily standups, and retrospectives.
Proactively suggest improvements to code, tools, and processes to enhance team productivity and product quality

the operating system team is looking for a highly talented Embedded sw integration engineer with a passion for operating systems and Linux in specific.
the team is developing the boot and operating system sw for autonomous vehicle and smart advanced driver assist platforms. what will your job look like?
hands-on debugging and testing of os and related components (boot, hw initialization, device drivers, Linux Kernel, user space libraries and tools & automated tests in Python ).
deep understanding of the involved os/boot components and their integration with other sw/hw modules involving testing automation and system level validation.
closely work with members of the boot and os development teams to integrate, TEST and automate new features, components and systems.
release & feature management in a multi-project and multi-disciplinary environment while managing ci systems for testing coverage.

we are seeking a networking software engineer to join our rdma transport software team, driving the development of next-generation rdma solutions for ai, cloud, hpc, and Storage. you will research and develop innovative transport algorithms that push the limits of performance and scalability. you will work in a fast-paced, collaborative environment alongside talented engineers from around the world, supporting the data needs of the worlds largest enterprises 
what you'll be doing:
take part in research, design, and development of advanced rdma transport mechanisms and algorithms, enhancing performance, reliability, and scalability.
collaborate closely with hardware engineers, software developers, and system architects to align on project objectives and requirements.
keep up with industry trends and emerging technologies, integrating new ideas and innovations into the development process

abra is seeking for an Application Infrastructure Engineer A unique role that combines infrastructure management, troubleshooting, and DevOps automation, perfect for those looking to expand their expertise in web application environments. Responsibilities:
* Manage and maintain web application servers such as PHP, IIS, and Tomcat.
* Ensure the availability and stability of web, application, and telephony infrastructures.
* Troubleshoot and optimize web applications and infrastructure issues.
* Provide ongoing support and collaboration with developers, testers, and vendors.
* Develop and maintain scripts in BASH/VB/Powershell to automate processes.
* Design and implement CI/CD pipelines using Jenkins.

we seek a versatile senior software engineer who is passionate about performance optimization and generative ai. our team builds software solutions that enable efficient inference on the latest and greatest generative ai models. we tackle problems on all levels of the stack-from server-level request batching to gpu Kernel fusion-and collaborate with teams across diverse disciplines to push nvidia's hardware to its full potential.
what youll be doing:
cooperate with research teams to onboard new llms and vlms into nvidia's opensource ai runtimes
optimize inference workloads using sophisticated profiling and simulation tools
build solid, extendable inference software systems, and refine robust apis
implement and debug low-level gpu code to harness the latest hw features
own end-to-end inference acceleration features and work with teams around the world to deliver production-grade products

you will work at the intersection of Machine Learning and software engineering - selecting the right models, feedback strategies, and evaluation frameworks to make ai-generated code reliable, high-quality, and trustworthy.
what you'll be doing:
design and build ai-powered development pipelines - from code generation and automated review to feedback loops and evaluation systems.
evaluate and select ml approaches for specific problems: when to use llm prompting vs. fine-tuning (qlora), classical ml (random forest, linear regression) vs. reinforcement learning, rag vs. structured extraction.
architect feedback and evaluation systems that measure and improve ai output quality over time.
review and refine ai solution architectures - evaluate design decisions, identify weaknesses, propose alternatives with reasoning.
lead proof-of-concept development to validate new ai/ml approaches for development tooling.
collaborate with the core team to define risk-based development levels and calibrate ai review depth per level.

looking for a motivated ai-native software engineer to join us in shaping the future of software development. engineers on this team grow fast - they work alongside senior architects, use cutting-edge ai tools daily, and become the organization's first experts in ai-native development practices.
as a ai-native software engineer in the ai-native development team, you will be Embedded in development teams adopting ai-assisted workflows. you will use the tools daily, identify friction points, suggest improvements, and become the team's go-to expert for ai-native development. this is a learning-intensive role with high impact - you will directly shape how the organization builds software with ai.
what you'll be doing:
use ai-assisted development tools daily as part of a team building real projects.
identify and report friction points - articulate clearly what works, what doesn't, and why.
contribute to tool improvements based on hands-on experience.
help document best practices, playbooks, and usage guides for broader rollout.
experiment with new ai tools, models, and approaches - evaluate and share findings with the team.
support development teams by providing direct feedback on tools and process during poc development.

we are looking for a 100% hands-on Storage services software engineer to join the block Storage group. you will be a member of a team that builds the next generation block Storage capabilities. you will work closely with a variety of teams and architects including the networking team, and external customers. you will take part in defining the software architecture and implementation of the most advanced Storage services! services that will need to meet extreme performance and scalability demands! we have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow.
we work, think and learn as a team. we thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. the rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play.
what youll be doing:
100% hands-on coding role in C language, Kernel and userspace
research, design, implement and TEST, new and existing, distributed Storage services and features of nvidias block Storage solution, in both host and dpu environments.
acquire understanding of the algorithms, the technicalities and the interaction with other components across nvidias block Storage ecosystem.
analyze and solve challenging bugs and customer cases in large scale production systems, identifying issues in our or inbox Kernel modules and often in other components. drive new solutions based on any issues that arise

looking for a strong technical senior architect to join us in shaping the future. senior architects are innovators who can translate business needs into workable technology solutions. their expertise is deep and broad. they are hands on, producing both detailed technical work and high-level architectural designs.
as a senior architect in the ai networking research team, you will explore technological challenges on accelerate networking and building ai data centers. research new transport functions and semantics for optimizing ai workloads, ai systems communication and accelerations and much more. you will also be leading architectural and development efforts across numerous technological fields, related to the modern ai data center, such as distributed ai and deep learning solutions, data analytics, high performance computing (hpc), software defined networking (sdn), virtualization, Storage, and more.
what youll be doing:
co-design hardware features (e.g., in gpus, dpus, or interconnects) that accelerate data movement and enable new capabilities for inference and model serving. 
identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.
lead architecture and design of new technologies and innovations such as runtime systems, communication libraries, ai-specific technologies.
lead proof-of-concept development to evaluate and drive such technologies.

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

in this role, you will play a critical part in advancing cumulus Linux, a leading networking operating system and a cornerstone of the ai factory - the next-generation data center designed to power the training, fine-tuning, and deployment of ai models at scale. you will work closely with cumulus Linux design and architecture teams while gaining deep insights into nvidias products and technologies.
what youll be doing:
manage, mentor, and guide a team of software developers.
oversee the design, implementation, and maintenance of scalable automation frameworks, while remaining hands-on with software development and debugging.
drive timely, high-quality feature delivery.
collaborate with global, cross-functional teams to identify, track, and resolve issues.
analyze customer-reported issues, identify TEST gaps, and ensure robust regression coverage.
work with continuous integration systems and regression tools.
foster a culture of innovation, quality, ownership, and accountability.
support team members with career development plans and achievable growth goals.

conduct in-depth performance characterization and analysis on large multi-gpu and multi-node clusters.
study the interaction of our libraries with all hw (gpu, cpu, networking) and sw components in the stack
evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available
triage and root-cause performance issues reported by our customers
collect a lot of performance data ; build tools and infrastructure to visualize and analyze the information
collaborate with a very dynamic team across multiple time zones

as a Senior Software Architect in the gpu networking architecture team, you will define software defined networking architectural solutions. you'll also be part of a team of specialists who span across numerous technological fields related to the modern data center, such as distributed ai and deep learning systems, networking operating systems, virtualization, Storage, and more.
what youll be doing:
define system and software architecture for software defined networking (sdn) of ground breaking emerging ai networks which involves innovative software and hardware.
be an active member in setting the use-cases and metrics for monitoring complex high-speed networks control-plane.
work closely with various groups within nvidia to bring ai network technologies to reality, including gpu and switch hw and sw teams, product as well as fellow architects.