דרושים » הנדסה » senior system software architect, ai and gpu networking

as a Senior Software Architect in the accelerated computing system and software team, you will define software defined networking (sdn) architectural solutions and 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, high performance computing (hpc), 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 and hpc 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 our company to bring ai and hpc network technologies to reality, including gpu and switch hw and sw teams, product as well as fellow architects.

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.

our company has been redefining computer graphics, pc gaming, and accelerated computing for more than 25 years. its a unique legacy of innovation thats fueled by great technology-and amazing people. today, were tapping into the unlimited potential of ai to define the next era of computing. an era in which our gpu acts as the brains of computers, robots, and self-driving cars that can understand the world. doing whats never been done before takes vision, innovation, and the worlds best talent. being an employee means being part of a diverse and encouraging setting that encourages everyone to perform at their peak. come join the team and discover how you can develop a lasting influence on the world. 
our company is in search of a Senior Software Architect - a creative, forward-thinking, and practical researcher to improve the framework for widespread llm learning and prediction. as part of our dynamic e2e architecture group, you will design and optimize systems driving generative ai workloads, working at the intersection of software and hardware on some of the most advanced gpu clusters worldwide. you will define how ai models are deployed and scaled in production using the spectrum-x networking platform, influencing decisions from inter-node communication and compute scheduling to system -level optimization. this is an opportunity to collaborate with best-in-class engineers and researchers and shape the future of generative ai in real-world applications. your work will make a lasting impact by enabling generative ai technologies to reach real-world applications and improve global computing capabilities. 
what youll be doing: 
lead research and development of end-to-end networking solutions for distributed ai training and inference at scale, with a focus on job completion time, failure resiliency, telemetry, scheduling, and placement.
analyze current deployments, develop prototypes, and recommend architectural improvements. 
stay abreast of the latest research; become the teams authority in emerging networking techniques and technologies. 
design, simulate, and validate new systems using novel, scalable network simulator nsx. 
develop and TEST prototypes on large-scale gpu clusters (e.g., israel-1). 
collaborate across hardware, firmware, and software teams to translate ideas into real networking product features. 
publish patents and present research at leading conferences.

our company is the central engine of the global ai revolution, providing the essential high-performance computing infrastructure that powers nearly every major ai and generative ai model today.
we are rapidly growing into various verticals as stated above and looking to grow our team with a Developer relations leader. this role is a key member of the company team that would manage our technical engagements in leading industries such as general ai/ml applications development, consumer internet, ai on Embedded systems and others; and to evangelize our portfolio of technologies and accelerate its adoption among developers. have strong technical competence and the ability to be a leader who can function effectively and independently in a matrixed environment to groom and guide developers.
what you will be doing:
your main responsibility will be developing a technical strategy to assure gpu and our platforms' adoption for the selected industries focusing on priorities. you will need to establish relationships and influence the technical leaders and technical communities, specifically developers, startups and isvs within these industries. you will evangelize and develop our leadership position in this market by accelerating the availability of gpu-accelerated ai and data science applications in the specified market by helping developers understand the value of our hardware products and sdks in addressing critical development opportunities. lead participation in targeted customer and industry Developer events and activities. chair technical activities spanning product divisions and sales geographies, particularly with solution architects, software developers and engineering resources, Developer marketing contribute towards our local ecosystem strategy and development of our value messaging for your customers. be the key advisor to how we are differentiated. you will become a company technology mentor and focal point for the software Developer community.

our company is seeking a sharp, innovative, and hands-on architect to help shape the future of llm inference at scale. join our dynamic e2e architecture group, where we build cutting-edge systems powering the next generation of generative ai workloads. in this role, you will work across software and hardware domains to design and optimize inference infrastructure for large language models running on some of the most advanced gpu clusters in the world.
youll help define how ai models are deployed and scaled in production, driving decisions on everything from memory orchestration and compute scheduling to inter-node communication and system -level optimizations. this is an opportunity to work with top engineers, researchers, and partners across our company and leave a mark on the way generative ai reaches real-world applications.
 
what youll be doing:
design and evolve scalable architectures for multi-node llm inference across gpu clusters.
develop infrastructure to optimize latency, throughput, and cost-efficiency of serving large models in production.
collaborate with model, systems, compiler, and networking teams to ensure holistic, high-performance solutions.
prototype novel approaches to kv cache handling, tensor/pipeline parallel execution, and dynamic batching.
evaluate and integrate new software and hardware technologies relevant to model inference (e.g., memory hierarchy, network topology, modern inference architectures).
work closely with internal teams and external partners to translate high-level architecture into reliable, high-performance systems.
author design documents, internal specs, and technical blog posts and contribute to open-source efforts when appropriate.

We're looking for a Senior AI/MLOps Engineer to join a group that specializes in Security and Networking, and specifically ML, AI and agent development. As a Senior AI/MLOps Engineer, youll build and maintain the infrastructure, tools and processes necessary to support the AI lifecycle in a production environment. You will collaborate closely with data scientists, software engineers, security architects and DevOps teams to ensure smooth deployment, modeling and optimization of AI models. This role involves creative problem solving alongside engineering teams, and is pivotal for the continued success of AI networking security.

What youll be doing:

Developing, improving and optimizing scalable infrastructure for handling and deploying security and networking AI models and agents in production, ensuring high availability, scalability, reproducibility, and performance.

Optimizing AI models and agents for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.

Monitoring and deploying agentic systems, LLMs, and ML models in production.

Designing and implementing frameworks/pipelines for AI training, inference, and experimentation.

Collaborating closely with data scientists, security architects and software engineers to operationalize and deploy AI models and agents, including packaging and integration with existing systems. Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.

Collaborating with DevOps teams to integrate pipelines and workflows into the CI/CD process, ensuring flawless deployments and rollbacks.

Building and maintaining monitoring and alerting systems to proactively identify and resolve issues relating to quality, performance and infrastructure.

Implementing access controls, authentication mechanisms, and encryption standards for AI models and data.

Documenting guidelines, and standard operating procedures for MLOps/AI processes and sharing knowledge with the wider team.

Develop proof-of-concepts for new features.

we are now looking for a senior ai system security architect! we are looking for an outstanding technical security architect with system architecture focus to design, validate, and guide implementation of secure architecture of its core products. the candidate is expected to: define problems and deliver highly innovative solutions that lead to significant differentiation in the industry, translate customer needs into architectural, technical & strategic direction, and help to resolve objectives & long-range goals of the security organization. leaders in this role will help reduce risk, threats, and vulnerabilities indata center products and services.
what youll be doing:
own the security requirements for networking systems in a variety of product lines.
work with technical and senior leadership staff to turn business directives into functional implementations.
collaborate between multiple business units and development groups to ensure a robust and secure product posture, from design to implementation in multiple system level products
provide hands-on security engineering expertise across a wide variety of platforms and services
provide strategic and tactical expertise in orchestrating, securing, deploying solutions; and in defining relative architectures.
this role extends across multiple groups and excellent working knowledge in the following areas of expertise is necessary for success:
designing system security architecture at hyperscale
Embedded systems security architecture and design
deep, low level understanding in root of trust (rot) technologies
networking security protocols and concepts
operating systems security and sw security concepts

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.

we have been transforming computer graphics, pc gaming, and accelerated computing for more than 25 years. it's an outstanding legacy of innovation that's fueled by great technology-and outstanding people. today, were tapping into the unlimited potential of ai to define the next era of computing. an era in which our gpu acts as the brains of computers, robots, and self-driving cars that can understand the world. doing whats never been done before takes vision, innovation, and the worlds best talent.  youll be immersed in a diverse, encouraging environment where everyone is motivated to do their best work. come join the team and see how you can make a lasting impact on the world.
we are seeking a network security research architect who is interested in a chance to define, research, and implement next-generation security features for data centers networks. the position will take on a lead role, working with teams with varied strengths across and with external partners to research security requirements for networking products.
what you'll be doing:
lead, research, design, develop, and implement solutions for securing networks and identifying threats and incidents in the network.
apply innovative security primitives to enable secure platforms.
collaborate across external and internal hardware and software research teams.
architectural modeling, validation, microarchitectural definition, following standards bodies, and developing proof-of-concepts secure platforms.
research network telemetry for supporting secure networking platforms confidentiality, integrity, and availability.

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.