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What you'll be doing:
Own the responsibility for delivering Networking features and their verification aspects.
Define, develop and maintain verification infrastructure and regression tests suites - make test suites robust, maintainable and easy portable.
Work with continuous integration system, regression tools, automate builds, run test suites and analyzing results.
Innovate! Bring NVIDIA product to next quality level
What we need to see:
B.Sc. in Computer Science / Computer Engineering / Electrical Engineering / Communication Engineering
5+ year of relevant experience working with established brands
Experience with Verification and Automation
Programming Knowledge in C and C ++, object-oriented OOP
Knowledge in Linux
Creative, motivated and value-driven person
Ways to stand out from the crowd:
Background with C/C++ as well as Git
Experience with python
Experience with Networking applications and protocols
Background with CI methodology & tools (Gerrit, Jenkins etc.)
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What you'll be doing:
In this position, you will be responsible for verification of the DFT design, architecture and micro-architecture using sophisticated verification methodologies.
As a member of our DFT verification team, you'll understand the design & implementation, define the verification scope, develop the verification infrastructure (Testbenches, BFMs, Checkers, Monitors), execute test/coverage plans, and verify the correctness of the design.
Collaborate with architects, designers, emulation, production testing and silicon verification teams to accomplish your tasks.
What we need to see:
BSc. in Electrical Engineering or Computer engineering.
Good understanding of RTL design (Verilog)
Strong debugging, problem solving and analytical skills.
Excellent communication and social skills.
Ability to work in a geographically diverse team environment.
Self motivated, independent and target oriented.
Ways to stand out from the crowd:
Previous experience in dft and/or verification
Experience in developing verification environments and random based verification for unit level and system level using verification tools (simulation tools, Verilog, debug tools like Simvision/Debussy)
Background with SV/Specman and Python
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NVIDIA is looking for an excellentFirmware Manager
What you will be doing:
Lead a group of engineers and provide technical guidance and career mentorship to the team of highly skilled engineers. Empower the team members to excel and increase team productivity.
Design and implement new features in the core of NVIDIA Switch Firmware.
Drive and facilitate the planning, scheduling, and execution of the project and activities of the team.
Collaborate with architecture and different software design teams as part of the software development lifecycle.
Work in pre and post-silicon development environments of next-generation NVIDIA networking products.
Gain a deep understanding of networking technology, system debugging, and stacks, as well as the HW/FW/SW relationship.
Innovate! Bring NVIDIA’s FW switching products to shine in customer’s view.
What we need to see:
B.Sc. in Computer Science/ Computer Engineering / Electrical Engineering
2+ years of managerial experience.
8+ overall years of relevantfirmware development experience.
Proficient in C (and assembly)
Strong programming skills in Python.
Excellent understanding of embedded SW and real-time programming.
Strong analytical, creative, debugging, and problem-solving skills.
Detail-oriented and comfortable with multitasking in a dynamic environment with shifting priorities and changing requirements.
An excellent teammate with good social skills.
Ways to stand out from the crowd:
Knowledge of network protocols.
Experience with Agile
Background in Linux internals
Experience in operating systems concepts like memory management, and user-space vs Kernel space.
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What you'll be doing:
What we need to see:
Ways to stand out from the crowd:
These jobs might be a good fit

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What you will be doing:
Lead a team of engineers and provide technical guidance to the team of highly skilled engineers. Empower the team members to excel and increase team productivity.
Lead the design and implementation of new features in the core of NVIDIA GPU Networking firmware.
Drive and facilitate the planning, scheduling, and execution of the project and activities of the team
Collaborate with architecture and different software design teams as part of the software development lifecycle.
Work in pre and post-silicon development environments of next-generation NVIDIA GPU networking products.
Gain a deep understanding of networking technology, system debugging, and stacks, as well as the HW/FW/SW relationship.
Innovate! Bring NVIDIA’s Networking products to shine in customer’s view
What we need to see:
B.Sc. in Computer Science/ Computer Engineering / Electrical Engineering
2+ years of managerial experience
6+ overall years of relevant overall professional experience
Proficient knowledge of C (Real-time)
In-depth understanding of firmware and real-time programming, working closely with HW.
Strong analytical, creative, debugging, and problem-solving skills.
Detail-oriented and comfortable with multitasking in a dynamic environment with shifting priorities and changing requirements.
An excellent teammate with good social skills.
Strong programming skills in Python.
Ways to stand out from the crowd:
Knowledge of network protocols.
Experience with Agile/Scrum
Background in Linux internals
Experience in operating systems concepts like memory management, and user-space vs Kernel space.
Practical OOP hands-on design experience (Python / C++)
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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 will be doing:
Develop a technical strategy to ensure Nvidia platforms adoption for selected industries, focusing on your priority industries and use cases
Establish relationships with technical leaders in organizations and communities, specifically developers, startups and ISVs within the industries.
Evangelize and develop our leadership position by accelerating the availability of GPU-accelerated AI and data Science applications in the specified market by helping developers understand the value of our hardware products and SDKs in addressing critical development opportunities
Lead participation in targeted customer and industry developer events and activities. Chair technical activities spanning product divisions and sales geographies, particularly with solution architects, software developers and engineering resources, developer marketing contribute towards our local ecosystem strategy and development of our value messaging for your customers.
Be the key advisor to how we are differentiated. You will become a NVIDIA technology mentor and focal point for the software developer community.
What we need to see:
Bachelor's Degree in Engineering, Science, Technical or other related discipline or equivalent experience. Master's or Ph.D’s is preferred. Intellectual curiosity and passion for innovation.
Experience in several verticals/industries with good knowledge and trends in the industry.
Expertise in CUDA programming, GPU platforms and Deep Learning and Machine Learning frameworks.
You will show a deep understanding of who and how to engage the developer’s product and engineering organizations with at least 8 years related experience.
5+ years’ experience in an AI and ML software development environment or working with developers in these areas; and at least 3 years’ experience in business development activities.
Able to work independently and possess excellent communication skills to drive customer and internal engagements.
Demonstrate ability to influence, evangelize and persuade at both operational and executive level (including engineering/ product management) to achieve a targeted outcome.
Execute and accelerate strategic decisions
Ability to effectively deliver value propositions for specific and targeted industries.
Ensure a positive experience for external customers and partners while working cross functionally within our organization.
Ways to stand out from the crowd:
Experience working on AI Deep Learning and Machine Learning Applications, AI Model Training/Inferencing and other GPU related technologies and application domain.
Strong technical understanding of Data Analytics, Generative AI, Embedded System/Jetson.
Experience in network communication protocol is an added advantage.
Strong analytical, problem solving, and negotiation skills and the ability to use data analysis to support strategic decisions
Excellent organizational, planning, and execution skills
These jobs might be a good fit

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What you'll be doing:
Own the responsibility for delivering Networking features and their verification aspects.
Define, develop and maintain verification infrastructure and regression tests suites - make test suites robust, maintainable and easy portable.
Work with continuous integration system, regression tools, automate builds, run test suites and analyzing results.
Innovate! Bring NVIDIA product to next quality level
What we need to see:
B.Sc. in Computer Science / Computer Engineering / Electrical Engineering / Communication Engineering
5+ year of relevant experience working with established brands
Experience with Verification and Automation
Programming Knowledge in C and C ++, object-oriented OOP
Knowledge in Linux
Creative, motivated and value-driven person
Ways to stand out from the crowd:
Background with C/C++ as well as Git
Experience with python
Experience with Networking applications and protocols
Background with CI methodology & tools (Gerrit, Jenkins etc.)
These jobs might be a good fit