Continuous Bring Solution Architect - Nvis jobs at Nvidia in Israel, Tel Aviv-yafo

What you'll be doing:

• Lead design of new networking applicationsto craft new networking applications that address sophisticated problems in groundbreaking ways.

• Identifying and evaluating new technologies, innovations, and partner relationships to align with our strategic technology roadmap and enhance business value.

• Defining the architecture of NVLink firmware running on GPUs and switches, ensuring flawless integration and performance.

• Helping to determine and implement the strategic vision for NVIDIA networking alongside adjacent software and hardware architects.

What we need to see:

• 5+ years of practical experience in firmware design and/or firmware architecture.

• A B.Sc or equivalent experience in Computer Engineering, Electrical Engineering, or Computer Science with outstanding grades.

• Excellent verbal and written communication skills.

• Proven ability to work in a collaborative, team-oriented environment.

Ways to stand out from the crowd:

• Knowledge of Ethernet/IP technologies, cloud, or data-center technologies.

• Experience in programming computer networks.

• Strong understanding of system design principles.

What you'll be doing:

• Work on a multidisciplinary design aspect with cross functional teams.

• Work hand in hand with the product architect making sure implementation meets the product goals.

• Work with peer micro architect across the organization aligning product definition.

• Focal point for the design team, reviewing implementation and guiding the team.

What we need to see:

• B.Sc. in Electrical Engineering or equivalent experience.

• 8+ years of relevant experience.

• Problem solving and analytical skills.

• Ability to document and present requirements to peers and design teams.

• A team player with strong communication and interpersonal skills.

Ways to stand out from the crowd:

• Professional Package and IPs implementation and implementation definition experience.

• Prior experience of defining a multidisciplinary flows and designs.

You’ll 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 NVIDIA and leave a mark on the way generative AI reaches real-world applications.

What You’ll Be Doing:

• Design and evolve scalable architectures for multi-node LLM inference across GPU clusters.

• Develop infrastructure tooptimize 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 cachehandling, tensor/pipelineparallel execution, and dynamic batching.

• Evaluate and integrate new software and hardware technologies relevant to Core Spectrum-X technologies, such as load balancing, telemetry, congestion control, vertical application integration.

• 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.

What We Need to See:

• Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, or equivalent experience.

• 8+ years of experiencebuilding large-scaledistributed systems or performance-critical software.

• Deep understanding of deep learning systems, GPU acceleration, and AI model execution flows and/or high performance networking.

• Solid software engineering skills in C++ and/or Python, preferably demonstrate strong familiarity with CUDA or similar platforms.

• Strong system-level thinking across memory, networking, scheduling, and compute orchestration.

• Excellent communication skills and ability to collaborate across diverse technical domains.

Ways to Stand Out from the Crowd:

• Experience working on LLM - training or inference pipelines, transformer model optimization,or model-paralleldeployments.

• Demonstrated success in profiling and optimizing performance bottlenecks across the LLM training or inference stack.

• AI Accelerators and distributed communication patterns, congestion control and/or load balancing.

• Proven optimization process for complex systems, deployed at scale to make impact.

• Passion for solving tough technical problems and shipping high-impact solutions.

What you’ll be doing:

• Defining and driving implementation and adoption of security validationstrategies across

• Designing frameworks and automation flows to test and verify securityfunctionality duringproduct QA, large-scale manufacturing, and in-field operation.

• Collaboratingwith architecture,design, and product engineering teams to ensure robust verification coverage for hardware roots of trust, secure boot, key provisioning, and cryptographic services.

• Driving development ofadvanced validationand debugging tools capable of detecting complex security anomalies, misconfigurations, and behavioral deviations across systems.

• Building and maintaining an end-to-end visibilityarchitecture forsecurity validation metrics, enabling continuous trust across the product lifecycle.

What we need to see:

• B.Sc., M.Sc. in Computer Engineering, Electrical Engineering, or Computer Science, or equivalent experience.

• 7+ years of experience in system-level validation, test development, or securityverification withincomplex hardware/software products.

• Deep understanding of system security concepts such as secure boot, attestation, cryptographic key management, and trusted hardware.

• Strong background in embedded or distributed systems testing, including familiarity with firmware, OS, and system manufacturing flows.

• Proven experience in working with hardware security components

• Hands-on experience with test automation frameworks, scripting (Python/Go/C++), and debugging of complex systems.

• Excellent analytical, problem-solving, and communication skills.

Ways to stand out from the crowd:

• Experience applying AI/ML methods for test generation, anomaly detection, or system debugging.

• Familiarity with securemanufacturing, HSM-basedprovisioning, or supply chain security validation.

• Experience with formal verification tools and Good understanding of DFT including Scan/ATPG/BIST/JTAG

• Contributions to open-source validation frameworks or industry standards.

• Ph.D. in Computer Engineering, Electrical Engineering, or Computer Science

What you'll be doing:

• Collaborate across the company to guide the direction of a converged NIC, working with hardware, software, research, and product teams.

• Research, design, develop, and implement architecture solutions (Hardware and software) meeting internal and external security requirements and standards.

• Apply innovative hardware security primitives to enable next-generation secure firmware and software supported by innovative hardware.

• Collaborate with internal and external partners on the implementation of open-source software.

• Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods.

• Work with customers, partners to identify and address security issues and threats.

What we need to see:

• BSc, MS, or PhD in Electrical Engineering, Computer Science, or Computer Engineering, or equivalent experience.

• 10+ years of proven experience.

• Background with embedded systems and programming low-level firmware, as well as being familiar with Security-by-design hardware and principles of privileges.

• Experience in the compartmentalization of software with security standards to isolate critical assets.

• Programming and debugging fundamentals across languages such as Python, ARM assembly, and C/C++.

• The ideal candidate will enjoy working in a diverse team, with excellent communication skills and a genuine passion for teamwork.

• Solid programming skills and a deep understanding of secure system building.

Ways to stand out from the crowd:

• Background in networking (TCP/IP), network security (TLS/IPSec), and packet processing technologies.

• Proven track record of leading features across teams.

• Expertise with Linux security primitives and microkernels architecture.