דרושים » תוכנה » network rdma algorithms architect

We are currently seeking a hard-working Senior System and Hardware TimeSync Architect who flourishes with these types of challenges to join our Time Synchronization Architecture team.

In this role, you will be exposed to the newest technologies and will help define how our GPUs, CPUs, and networking devices use timing to power extraordinary products and applications. Specifically, you will focus on next-generation Radio Access Network (RAN) platforms for 5G and 6G, delivering innovative, scalable, and power-efficient TimeSync solutions. By working across hardware and software stacks, you will support sophisticated AI acceleration and drive industry-wide standardization. If you want to lead the industry and help us define the next generation of data center and telecommunications technology, this is where you belong.

What youll be doing:

Master our Time Synchronization Technology

Define of hardware and system architectures

Research and evaluate algorithms currently used in related applications

Develop complex proof-of-concepts to demonstrate ideas

Architect Time Synchronization hardware tailored to the requirements of next generation RAN workloads, including distributed, centralized, and small cell deployment scenarios.

Collaborate with software architects to define new features and robust SW-HW interfaces for diverse networking use cases.

Drive standardization and interoperability to support broad industry adoption.

as a senior architect in the advanced development team, you will explore technological challenges on accelerate networking and building ai data centers. research new transport functions and semantics for optimizing ai workloads. you will also be leading architectural and development efforts across numerous technological fields, related to the modern 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:
enhance gpu networking offerings for accelerating ai workloads, such as dynamo or nvidia nixl.
identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.
lead architecture and design of such technologies.
lead proof-of-concept development to evaluate and drive such technologies.

We are seek a forward-thinking, innovative, and experienced Solutions Architect with hands-on experience.

By joining the team, youll take a part in the design and implementation of complex data center solutions, including solution architecture, HW and SW deployment, performance, and return on investment analysis. You will work with software developers and architects to research and analyze new, groundbreaking technologies.

The candidate is expected to have hands-on experience with data center technologies, including operating systems, virtualization and containerization technologies, storage, networking, and infrastructure as code (IaC) tools such as Ansible. A candidate for this position must excel at working independently as well as in a group, in a multidisciplinary, dynamic environment.

What youll be doing:
Implement cutting-edge, end-to-end data center solutions with modern applications.
Architect, develop, deploy, automate, analyze, formalize findings, and release summary reports.
Develop and release reference deployment guides and how-to tutorials.
Support company business units on complex solutions delivery by consulting, providing solutions designs, running POCs, etc.
Research technology trends and deliver best practices for integrating NVIDIA products and technologies.

we are building a high-impact team at the forefront of architectural innovation, and were looking for a senior nic system modeling & simulation engineer to be a key contributor. in this role, youll develop software-based functional models and simulators to explore, validate, and influence the architecture of our next-generation nics. you will work closely with architects and design teams, contributing to the design and evaluation of cutting-edge systems. this is a rare opportunity to shape architectural decisions from the ground up while working in a fast-paced, exploratory environment.
what youll be doing:
system -level modeling: architect and develop high-performance systemc models of hardware blocks and subsystems.
feature implementation: work autonomously to define, design, and implement modeling features.
cross-team collaboration: collaborate across architecture, design, and software teams to refine system -level behavior
ai-enhanced development: accelerate development by leveraging cutting-edge ai coding tools and frameworks.

technically leading the features owns working with customers and r&d on architecture and design of the features.
clearly define the requirements. research the hardware, firmware, and software existing support and define the solution to match the requirements he defined.
simulations ranging from specific components to complete data center environments
develop sdks for novel hw capabilities
designing and implementing services, runtime systems, and applications over sdk
evaluate and optimize application performance
partner and collaborate with other forward-thinking team members and external researchers
work with intelligent networking machines powered by ai systems that can learn, reason and interact with other network components

lead a team of 5 engineers in the advanced technologies development
design and implement solutions throughout all layers from high level application, os and driver subsystem to firmware
work on impactful projects involving state-of-the-art high-performance computing hardware and software
provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology
collaborate with nvidia partners and customers

capture business requirements, translate requirements into functional design, user stories, technical design, drive end to end integration testing, support data set up and issue remediation during uat, manage development team activities, develop hypercare support model
define and architect ai agents for supply chain use cases, using the right frameworks, multi-agent coordination, rag, deployment, monitoring, and life cycle management.
be hands on in quick proof of concepts development to demonstrate technical feasibility and implement enterprise grade agentic supply chain solutions
partner with enterprise it engineering, product, and research teams while evaluating llms, agentic frameworks, and nvidias own nemo technologies.
ensure integration with enterprise it and operations data sources and industrys best agentic platforms with strong content security focus.
drive architectural decisions across deployment models (on-prem, cloud, hybrid, containerized) to deliver scalable, reliable, and efficient solutions.
lead design reviews, develop technical documentation, and guide developers in principles of architecture and code development.
champion observability, monitoring, versioning, and telemetry to ensure trustworthy and auditable ai agents.
influence supply chain operations adoption of the platform by partnering with stakeholders across it, supply chain and serve as a reference adopter providing feedback to strengthen nvidias ecosystem.

we're looking for a hardware architect for our nic and dpu division. in this position, as part of a small (~10 employees) elite team, you will have the chance to define the architecture of nvidias next generation nic and dpu products. your role will be cross-disciplinary, working with software, asic design, verification, physical design and platform teams to improve performance and debug.
what you'll be doing:
learn and understand the switch u/architecture thoroughly across all aspects and become a source of information for the design and Verification engineers.
define the implementation of the most sophisticated debug features of our next products, balancing architecture requirements with backend, execution, and design considerations.
define the implementation of debug capabilities to support performance validation and improvements
understand our system debug requirements and help define the por of our nic and dpu product line.
face the most challenging full-chip correctness and performance issues, which cannot be handled by the units designers as they require full cross-unit understanding of the chip.
work closely with board and package design to understand the different design limitations: power, di/dt, temperature, signal-integrity etc.
thoroughly understand SOC flows, pcie, ethernet, infiniband and nvlink protocols.

what youll be doing:
implement cutting-edge, end-to-end data center solutions with modern applications.
architect, develop, deploy, automate, analyze, formalize findings, and release summary reports.
develop and release reference deployment guides and how-to tutorials.
support company business units on complex solutions delivery by consulting, providing solutions designs, running pocs, etc.
research technology trends and deliver best practices for integrating nvidia products and technologies.