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We are seeking a highly skilled AI Application Team Lead to build and lead a team responsible for developing, running, and optimizing large-scale AI workloads on AI hardware platform. This role focuses on benchmarking state-of-the-art models (e.g., LLaMA, DeepSeek), executing MLPerf suites, analyzing system-level performance, and driving cross-stack optimizations across hardware, runtime, and software frameworks.

The ideal candidate combines strong technical depth in AI/ML systems, hands-on experience with LLM workloads, and leadership capability to guide a high-performance engineering team.

Were building a new orchestration platform for AI datacenters-software that turns a complex, multi-vendor stack of compute, networking, and accelerators into something customers can deploy, operate, and optimize with confidence.
Youll join a small founding team (growing later) where every engineer ships. This is a hands-on architect role in the truest sense: youll own key architectural decisions and write production code 100% of the time, side-by-side with the team.
If you like shaping systems at the whiteboard-to-production level-and you want your decisions to run at scale in real AI datacenters-this is that kind of role.
What Youll Do
Design and build the core of an orchestration platform spanning the full datacenter stack.
Turn real customer needs into crisp system architecture: service boundaries, workflows, APIs, data models, and failure modes.
Implement critical platform components end-to-end: from prototypes and spikes to hardened production services.
Define and evolve platform standards through working code: patterns, libraries, templates, test strategy, CI/CD.
Make pragmatic tradeoffs (performance vs. simplicity, consistency vs. availability) and document the why.
Lead design and code reviews, raising quality while keeping velocity high.

As part of System Architecture group, the Cybersecurity System Architect will define the end-to-end architecture of advanced network security services, such as intrusion prevention systems (IPS), and host-based intrusion detection systems (HIDS) and firewalling. This role is at the forefront of integrating deep security intelligence into high-performance, scalable network operating systems and telecom-grade platforms.
As part of R&D core function, shaping next-generation secure network infrastructure by embedding deep packet inspection, behavioral analytics, and threat mitigation into the product architecture.
Responsibilities
1. Architecture of Integrated Security Services
Define and lead the system architecture for L3-L7 firewalling, stateful inspection, policy enforcement, and application-aware filtering.
Architect integration of IPS, DPI, signature- and anomaly-based detection, and evasion-resilient detection engines into control and data plane systems.
Specify how HIDS capabilities will be embedded or interfaced with NOS components for detecting host-based anomalies and compromise indicators.
2. Threat Detection & Prevention Frameworks
Design scalable architectures that support high-speed signature matching, traffic heuristics, and flow analysis under real-world traffic conditions.
Define mechanisms for rule updates, threat intelligence feeds, and integration of ML-based detection algorithms.
Architect policy engines for complex rule matching, including user-defined policy trees and hierarchical control structures.
3. Secure System Integration
Lead system-level threat modeling and security design reviews across platform, OS, and networking protocol layers.
Define secure communication paths, trust boundaries, and cryptographic protections for sensitive metadata, logs, and update mechanisms.
Ensure proper isolation and sandboxing of inspection/control modules, especially in multi-tenant or containerized environments.
4. Performance and Resilience Considerations
Design architectures to meet line-rate security enforcement, ensuring minimal latency overhead while preserving packet integrity.
Align with the HW Architecture for performance optimized flow offload strategies (e.g. hardware-assisted DPI).

As part of System Architecture group, we are looking for an experienced System Architect to lead system and architecture for a network operating system of a hyper scale router & working as part of a technical team in charge of all system, software, algorithms and protocols design, Continues and constant customer engagement at the requirements, product and design levels.
Responsibilities
Collaborate closely with cross-functional teams including software engineers, network engineers, and product managers to define system requirements and design solutions.
Perform spec reviews and provide guidance to team members in design reviews
Develop and implement high-level design methodologies and standards to optimize system architecture.
Drive architectural initiatives that improve system resilience, security, and efficiency.

We are seeking a talented and experienced Software/System Architect to join our dynamic team.
As a System Architect, you will play a crucial role in designing and implementing robust, scalable, and efficient solutions. You will work closely with cross-functional teams, analyze requirements, design solutions and offer technical guidance, ensuring successful development and integration of the end-to-end solution.
Responsibilities:
Design high-availability, fault-tolerant, and scalable distributed systems using microservices, event-driven patterns, and best-practice architectural principles.
Analyze and understand business requirements to create system specifications.
Lead design reviews, evaluate technical proposals, and validate architecture compliance across teams.
Define and maintain system architecture diagrams, including component, sequence and data flow diagrams.
Collaborate with development teams to guide the implementation of the solution
Ensure alignment of technical solutions with business goals and industry best practices.
Oversee system integration, troubleshoot issues, and provide architecture support as needed.
Conduct regular system reviews to identify areas for improvement and optimization.
Collaborate effectively with multiple stakeholders such as product management, professional services, sales, development and production support.

Define the AI core architecture that will shape the next generation of AI chips, leading the global competition in AI computing power. As a key contributor to the competitiveness of AI core architecture, we drive chip architecture innovation starting from algorithm evolution, building a full-stack closed-loop capability of "algorithm-architecture-circuit-system," and creating a globally leading, independently controllable AI accelerator core to support the Ascend AI ecosystem and the implementation of large model strategies.
Responsibilities
Lead next generation inference solution optimized for power, performance and area. Considering scalable solution for large scale systems with many resources. Covering efficient data delivery and workload map.

With the explosive growth of AI technologies and the Internet industry, data centers have become digital hubs and infrastructures of the Internet industry in the digital economy era. Computing networks, as core components of data centers, have features such as topology, scalability, throughput, reliability, and latency that directly affect data center functionality and performance. The computing cluster networking lab explores architecture and technological innovation for meeting the challenges of future large-scale AI & HPC data centers. .. The labs mission is to lead our company to achieve differentiated competitiveness in high-performance computing cluster network infrastructure, and to support Huawei's industry-leading computing cluster.
Position Overview
In this role, you will be responsible for several teams of architects, engineers and software developers, all working together to conduct state-of-the-art R&D in system and network architecture. As the group lead, you will guide and mentor the individual team leads, and also conduct hands-on work leading architecture, technology innovation and technical planning and of high-performance computing cluster network, which oriented at AI, HPC, and big data.
Responsibilities
You will perform a wide range of duties including:
Architecture Innovation:
Deeply analyzing the advantages and disadvantages of mainstream network systems, to find opportunities for network architecture innovation;
Insight into the technology developing trend of the high-performance computing network field, and leading the corresponding technology planning.
Exploring new architectures of high-performance computing network systems and efficiently integrating communication library, topology, and network protocol to solve performance bottlenecks.
Technical breakthroughs in networking and cluster routing algorithm：
Analyzes computing cluster network performance and leads the development of computing cluster network technologies
Research and optimize the heterogeneous interconnection topology of key computing chips to continuously improve the key competitiveness of Huawei computing heterogeneous chipsets
Responsible for the research of data center network technologies, and guide network topology design and routing algorithm development
Group leadership:
Lead the development of a comprehensive system architecture for AI Fabric and HPC Fabric solutions
Manage and mentor highly skilled team leaders, to ensure that the group operates together in pursuit of common goal
Foster a collaborative and innovative work environment
Provide technical guidance and support to team members
Collaborate closely with cross-functional teams internationally, including hardware,
software, and ucode design teams, to ensure alignment of architectural decisions with
product and platform common objectives
Initiate and supervise collaborations with top academic researchers in Israel and abroad
Stay up to date with emerging technologies and industry trends in AI, HPC and big data industries
Evaluate and recommend technologies and next generation projects
Occasional travel related to ongoing projects, seminars, conferences etc.

We are currently looking for a Performance Simulation Expert develop and evaluate next generation performance features as well as develop the future generation of our Compute system simulation infrastructure, models and analysis tools
Responsibilities:
Develop and analyze performance and power features in our cycle accurate pre-silicon model and improve the accuracy of the current Server system simulator
Design the architecture of the new generation system simulation platform that will be used to analyze performance of Server (Compute and AI) workloads and identify performance bottlenecks
Develop new technologies, methodologies and tools for simulation. Analysis and debug of applications and workload on Huawei servers
Propose and simulate optimizations and innovations on the HW and SW in order to improve server performance for given workloads
Distribute the simulation platform, train and support other teams in China and in Europe using the simulation platform, technology and methodology.

Looking for a CPU performance modeling architect to take responsibility over the performance aspects of new CPU instructions or modes of operation. The role includes but is not limited to:
Partners with lead SW and HW architects to co-invent optimal HW and SW solutions that come to address requirements. Influences the direction based on experiments and simulation data
Models CPU functionality, performance and/or power in pre-silicon simulators
Defines and runs performance experiments to aid feature definition. Such experiments can be performed on a pre-silicon simulation environment or in a real system or on a combination of both or even in combination with analytical models
Provides experimental/proof of concept for new features and implementation alternatives meeting performance constraints.
Analyzes the bottlenecks of current CPUs on workloads that reflect CPU future usages
Potentially (in the future), lead a team doing above activities
An adequately qualified candidate can also become the leader of definition for some features in addition to all the roles above.

Looking for a CPU Architect for codesign of HW/SW feature for our CPUs for cellphones and servers. The role includes but is not limited to:
Analysis of technical challenges and determination of whether to solve them by a combination of new HW and new SW or by only one of these
Invents corresponding HW features and SW solutions to address above challenges. Evaluates feasibility tradeoffs, explores, and defines new approaches and novel architectures for CPU. Develops the end-to-end architecture of new instructions (when applicable) in coordination with partners. Drives the inclusion of the feature in a CPU project working with micro-architects, designers and verification experts. (the HW/SW features are typically in the form of new instructions or of other Instruction Set constructs and belong to one of following domains: dense compute, general purpose accelerations, use case specific accelerations, system level instructions, Security related technologies, or instrumentation instructions.
Models CPU functionality, performance and power in simulators, analyzes the bottlenecks of current CPUs on workloads that reflect CPU future usage.
Provides experimental/proof of concept changes for proposing design alternatives meeting performance, power, area, and timing constraints.
Reviews and influences cross functional roadmaps.
Collaborates with SW and HW architects, design, verification, and validation engineers during the execution of the project. Finds mitigations for issues that arise during implementation of his/her features.

Looking for a CPU Architect with expertise in HW/SW codesign of dense computational logic (e.g., vector, matrix)
The role includes but is not limited to:
Analysis of technical challenges in relevant use cases and determination of whether to solve them by a combination of new HW and new SW or by only one of these
Analyzes the bottlenecks of current CPUs on workloads that reflect CPU future usage.
Invents corresponding HW features and SW solutions to address above challenges. Evaluates feasibility tradeoffs, explores, and defines new approaches and novel architectures for CPU. Develops the end-to-end architecture of new instructions in cooperation with partners. Drives the inclusion of the feature in a CPU project working with micro-architects, designers and verification experts.
(Preferably) models CPU functionality, performance and power in simulators.
Provides experimental/proof of concept changes for proposing design alternatives meeting performance, power, area, and timing constraints.
Reviews and influences cross functional roadmaps.
Collaborates with SW and HW architects, design, verification, and validation engineers during the execution of the project. Finds mitigations for issues that arise during implementation of his/her features.

we are looking for a highly skilled and strategic Software Architect to lead the modernization of our core technology platform and drive new AI-powered capabilities. This role involves analyzing existing systems, designing a scalable and cost-efficient target architecture, and building a clear roadmap to get there.
As our Chief Architect, youll serve as a trusted technical advisor, partnering with product, engineering, and business teams to design scalable, secure, and resilient systems. Youll guide the technical direction of the company, mentor engineers, and help evolve our architectural standards and best practices.
What You Will Do
Architectural Strategy
Evaluate current systems and infrastructure; define scalable, secure, and maintainable target architectures.
Roadmap & Execution
Build migration plans from legacy to target state, including risk analysis, dependencies, and phased delivery.
Cloud Architecture (AWS)
Design AWS-native architectures that optimize performance, scalability, cost-efficiency, and reliability.
AI Architecture
Lead design and integration of AI capabilities with a focus on intelligent agents, LLMs, and automation workflows. Leverage services like AWS Bedrock, OpenAI APIs, and open-source agent frameworks.
Cross-Functional Collaboration
Partner closely with product and engineering leadership to define the technical roadmap and delivery strategy.
Operational Excellence & Leadership
Define and uphold architectural and technical standards across engineering teams.
Ensure compliance with regulatory and security frameworks (e.g., SOC 2, HIPAA).
Serve as the primary technical escalation point for architecture and infrastructure concerns.
Mentor developers on system design, scalability, and performance.
Stay hands-on through POCs, technology evaluations, code reviews, and monitoring production health.

Ultimately, we believe in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But, we also believe in balancing productivity with self-care. Thats why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Responsibilities
We are looking for an exceptional Technical Architect to join our growing team. In this role, you will be responsible for helping our clients empower their employees, serve their customers, and build solutions for their businesses.

In this role, you will also be responsible to:

Work across multiple customer-facing teams (Sales, Business Development, Product, Engineering, Customer Success) to improve the product's vision and to make global businesses and organizations successful.

Technical solutions expert with an aptitude for technical advising, troubleshooting, and analysis. With strong communication skills, you will be proficient in communicating technically complex ideas to a non-technical audience. You help our employees and customers approach and resolve technical problems and design scalable services.

Gather requirements via client meetings and lead the solution design process jointly with customers, Business Development and Engineering

Develop capabilities and features based on customer requirements as well as to extend our connector capabilities via HTTP and SDK

Work closely with Product and Engineering to review customer requirements and feedback, and identify opportunities for our platform enhancements

Accelerate development for roadmap features to address specific customer requirements

Improve internal processes, and promote knowledge sharing in the team, by contributing to our knowledge base

Prioritize and deliver outstanding customer service experience to our 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 are looking for a safety architect to our the safety team, developing novel approaches to assess and promote autonomous vehicle (av) safety.
safety is a core decision driver at the highest level of our development and business strategy, directly impacting project timelines and approval for our most advanced programs.
demonstrating that an autonomous vehicle is safe is a cutting-edge challenge. it requires a deep understanding of the entire av system, the development of robust methods and tools to support this goal, and active engagement with the automotive industry to build broad acceptance of our approach. what will your job look like?
analyze the sw architecture and identify safety-critical areas, define the safety requirements and work closely with r&d teams to reach the best solutions
support the sw system architecture definition of the automated driving system
define the safety requirements for high-level components of the autonomous vehicle products including driving applications, image processing, memory management, error handling
act as a poc for r&d teams in terms of safety and embed the safety culture, train and guide safety ambassadors within the teams
proactively support our position with customers during business development activities and during the execution of production projects