Principal Dgx Cloud Machine Learning Architect 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:

• Design and develop scalable, cloud-native solutions to accelerate HPC and AI workloads using NVIDIA’s advanced technologies (GPUs, DPUs, ConnectX).

• Contribute to NVIDIA’s AI supercomputing platforms

• Collaborate with cross-functional teams to deliver new features and improve existing products.

• Support, maintain, and document robust software systems.

What we need to see:

• BSc in Computer Science or equivalent program.

• 3+ years of hands-on experience in software development, preferably with Golang/C/C++/Rust.

• Proven ability to develop, debug, and maintain complex distributed systems.

• Excellent communication skills and the ability to collaborate across teams and geographies.

• Self-starter with adaptability and eagerness to learn new technologies.

Ways to stand out from the crowd:

• Experience building K8s based solutions/systems.

• Background in HPC or AI infrastructure technologies.

What you will be doing:

• Build and train innovative large-scale models—including generative, imitation, and reinforcement learning—to improve the planning and reasoning capabilities of our driving systems.

• Explore novel data generation and collection strategies to improve diversity and quality of training datasets. Develop, pre-train, and optimize LLM/VLM/VLA models for autonomous driving and robotics applications.

• Collaborate cross-functionally to deploy and integrate AI models into vehicle firmware.

• Deliver production-quality, safety-critical software that meets performance, safety, and reliability standards.

What we need to see:

• PhD or Master's degree with equivalent experience.

• 8+ years of experience

• Hands-on experience training LLMs/VLMs/VLAs from scratch, or a proven record as a top-tier ML engineer/researcher passionate about autonomous systems.

• Strong programming skills in Python and proficiency with major deep learning frameworks. Basic familiarity with C++ for model deployment and integration in safety-critical systems.

• Comprehensive grasp of current deep learning structures and improvement methods. Consistent track record of deploying production-grade ML models for self-driving, robotics, or related fields at scale.

Ways to stand out from the crowd:

• Experience developing and shipping LLM/VLM/VLA solutions for autonomous vehicles or general robotics products.

• Publications, contributions to open-source projects, or victories in competitions connected to LLM/VLM/VLA systems.

• Profound comprehension of behavior and motion planning in real-world autonomous vehicle (AV) applications.

• Experience building and training large-scale datasets and models and/or training agents with reinforcement learning.

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