Solutions Architect Generative Ai Agents Data Processing jobs at Nvidia in Israel

What you'll be doing:

• Develop innovative AI flows to improve hardware and software through collaboration with various engineering roles.

• Facilitate co-creation workshops to transform SME rules of thumb into specific assignments, resources, cues, and guidelines. Define success measures, evaluation data, and feedback loops for agents to make a measurable difference in NVIDIA's HW simulation analysis and GPU-kernel optimization workflows.

• Rapidly prototype and thoughtfully productize; integrate with internal services, utilize GPU capabilities, remove bottlenecks, and deliver fitting solutions.

• Set up evaluation backbone using offline golden sets and online telemetry for confident iterations, cost control, and safe improvements.

• Mentor and improve teams through insights in agent orchestration, prompting, RAG, observability, crafting documentation and playbooks for NVIDIA's teams.

What we need to see:

• 7+ years in applied ML/AI or large-scale systems, with 3+ years crafting agentic or LLM-powered applications in production environments.

• B.Sc in Computer Science/ Electrical Engineering

• Proven ownership of at least one end-to-end agentic system or LLM application: requirements, architecture, implementation, evaluation, and incremental hardening in production.

• Strong software engineering skills in Python and one systems language (C++ or Rust preferred); experience integrating with GPUs, CUDA, or performance-critical services.

• Proficient in PyTorch or TensorFlow; skilled in tool use, RAG pipelines, and model adaptation.

• Demonstrated ability to collaborate with HW/SW domain experts and translate their heuristics into deterministic tools, constraints, and evaluation metrics.

• Excellence in communication and facilitation: aligning diverse collaborators, documentingdecisions/assumptions,and influencing without authority.

• Track record of building observability for AI systems: dataset/version management, offline test suites, online telemetry, guardrails/safety checks, and rollback plans.

• Proactive, independent, possessing strong analytical and problem-solving abilities; adept at handling uncertainty to provide practical, gradual benefits.

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:

• Build and lead the Networking Solutions Validation group, including hiring top talent and developing future leaders
• Collaborate closely with the NCS performance team, cross-functional engineering, architecture, and product teams to define and execute test plans on NCS clusters
• Partner with internal NCS teams to establish and implement validation methodologies and processes
• Envision and develop automation systems to optimize SOL execution
• Drive innovation and showcase NVIDIA Networking Solutions from the customer’s perspective

What We Need to See:

• B.Sc. in Software, Computer, Electrical, or Communication Engineering—or equivalent experience
• 20+ years of overall industry experience
• 10+ years of group management
• Proven track record of leading multidisciplinary teams
• A creative, motivated, and value-driven mindset

Ways to Stand Out from the Crowd:

• Experience in AI or HPC performance domains
• Strong background in networking protocols
• Experience leading software development teams

What you’ll be doing:

• Crafting and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.

• Building and optimizing microservices-based architectures using Kubernetes and cloud-native technologies.

• Collaborating closely with backend engineers, product managers, and other partners to deliver impactful solutions.

• Writing clean, maintainable, and testable code in Go, contributing to our CI/CD pipelines.

• Conducting code and build reviews to uphold high-quality standards and mentor team members.

• Leading the development and implementation of advanced identity management systems that secure NVIDIA’s innovative AI and GPU cloud.

• Developing scalable multi-tenant solutions that allow our diverse clientele to harness the power of NVIDIA’s platforms securely and efficiently.

• Collaborating with multi-functional teams to integrate identity and access management features seamlessly into our products, from cloud services to edge computing devices.

What we need to see:

• B.Sc. in Computer Science or a related field (or equivalent experience).

• 5+ years of experience

• Experience in backend software development, including system design and architecture.

• Proficiency in at least one backend programming language (Go preferred).

• Strong knowledge in microservices architecture, RESTful APIs, and relational databases.

• Proficient knowledge of security guidelines and experience applying them in large-scale systems.

• Expertise in implementing OAuth, OIDC, SAML, and other modern authentication protocols - Advantage

Ways to stand out from the crowd:

• Expertise in Kubernetes internals and advanced cloud-native technologies.

• Experience working in Linux environments with knowledge of networking, security, and virtualization.

• Contributions to open-source projects or active participation in tech communities.

• Agile approach and familiarity with standard methodologies.

What you’ll be doing:

• 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

What we need to see:

• Graduate of BSc/MSc in Electrical Engineering, Computer, Science/Engineering,Math/Physics/Statisticsor a related field

• 0-2 years of relevant experience.

• Knowledge in networking, operating systems, accelerator programming, and systems

• Track record of research excellence

• Good communications skills

Ways to stand out from the crowd:

• Experience in networking and operation system

• Knowledge or experience with LLM