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What you'll be doing:
Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related industry standards & customers on deploying your tech.
Collaborate with teams across teams (physical design, logic design, system software, firmware, applications)
Work on proof of concepts and advance development projects.
Perform research and analysis for current and future architectures.
Craft product design specifications.
Serve as a focal point within the organization and distribute the knowledge that you acquire.
What we need to see:
BSc or MSc or equivalent experience in electrical engineering.
Deep understanding of how to build and integrate systems with various technology components.
Knowledge and understanding of computing and networking systems.
A can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn complex concepts in a fast pace environment.
Utmost passion for attention to details in design and a high focus on design quality.
Ways to stand out from the crowd:
Experience and love for system architecture,
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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.
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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.
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About The Role
As a CSM within Buildots you are responsible for the set-up and onboarding of all new projects within your portfolio, and then the successful product adoption across multiple users within the projects. We want to ensure the data Buildots offers becomes embedded into the day to day practices of our projects, which leads to adoption across our key accounts. Within the organization you will be the voice of the customer, working to provide relevant and critical information to our product managers, you’ll provide user stories and wins to the account teams helping to support the successful expansion within our key accounts. Alongside this you’ll work closely with our technical team to ensure project data is correct, as projects evolve so does their digital twin within Buildots, alongside your dedicated VDC you’ll need to ensure we’re ahead of the game.
What You'll Do:
Requirements:
If you don’t meet every single requirement, we still encourage you to apply. Your unique experiences, skills, and passion may be exactly what we’re looking for.
**By submitting your application, you agree that Buildots will process your personal data in accordance with Buildots' Privacy Policy.
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The Role
What You’ll Do
Technical & Strategic Leadership
Frontend & Web Infrastructure
Backend & Microservices Infrastructure
AI Enablement Across R&D
People & Collaboration
What we expect
You’ll lead the group that defines, from local development to production — while driving the adoption of.
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computing for more than 25 years.a unique legacy of innovationfueled by great technology—and amazing people. Today,
You will define how AI models are deployed and scaled in production using the NVIDIA Spectrum-X Networking Platform, influencing decisions from inter-node communication and
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, andplacement.
Analyze current deployments, develop prototypes, and recommend architectural improvements.
Stay abreast of the latest research; become the team’s 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.
What We Need to See:
M.Sc. or PhD (preferred) in Computer Science, Electrical/Computer Engineering, or related field—or B.Sc. with research experience andpublications.
5+ years of relevant experience.
Deep expertise in networking and communication internals (NCCL, RDMA, congestion control, routing).
Strong software engineering skills in C++ and/or Python.
Excellent system-level design and problem-solving abilities.
Outstanding communication and collaboration skills across technical domains.
Ways to Stand Out from the Crowd:
Proven passion for solving sophisticated technical problems and delivering impactful solutions.
Record of publications in top-tier conferences.
Experience in designing and building large-scale AI training clusters.
Post-PhD research experience
Practical understanding of deep learning systems, GPU acceleration, and AI model execution flows.
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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
These jobs might be a good fit

What you'll be doing:
Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related industry standards & customers on deploying your tech.
Collaborate with teams across teams (physical design, logic design, system software, firmware, applications)
Work on proof of concepts and advance development projects.
Perform research and analysis for current and future architectures.
Craft product design specifications.
Serve as a focal point within the organization and distribute the knowledge that you acquire.
What we need to see:
BSc or MSc or equivalent experience in electrical engineering.
Deep understanding of how to build and integrate systems with various technology components.
Knowledge and understanding of computing and networking systems.
A can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn complex concepts in a fast pace environment.
Utmost passion for attention to details in design and a high focus on design quality.
Ways to stand out from the crowd:
Experience and love for system architecture,
These jobs might be a good fit