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What you’ll be doing:
Enhance NVIDIA's GPU Networking offerings for accelerating AI workloads, such as NVIDIA Dynamo or NVIDIA NIXL.
Develop and evaluate new technologies, innovations relevant for scientific, Deep Learning, and data-intensive workloads.
Create proof-of-concept to evaluate and drive such new technologies.
Work on impactful projects involving state-of-the-art high-performance computing software and hardware.
Designing and implementing services, runtime systems, and applications over SDK
Partner and collaborate with other forward-thinking team members and external researchers
What we need to see:
Hold a B.Sc. or M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university.
0-2 years of industry experience (or equivalent) in system programming or related fields.
Background in algorithm design, system programming, and computer architecture.
Strong programming and software development skills.
A teammate with a can-do attitude, high energy and excellent interpersonal skills.
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Ways to stand out from the crowd:
Proven research track record.
Experience and passion for system architecture,CPU/GPU/Memory/Storage/Networking.
Stellar communication skills.
Knowledge in Deep Learning frameworks and AI communication libraries (NCCL, UCX, MPI and equivalents).
These jobs might be a good fit

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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

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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technology
What you'll be doing:
Participate in the process of bringing up a new technology from the R&D stage, to the engineering and bring-up then to the high volume manufacturing lines.
Process development using passive and active alignment techniques and machines.
Owner for process development steps in a new product assembly.
New machine development with vendors for various processes.
Documentation of work instructions after process development.
Characterizing and investigating of the compatibility of new adhesives, soldering material, packaging material, etc. , to the optical, interconnect products.
Help in the debug of failures using various methods inspection and characterization methods.
Participate in taskforces related to mass production.
What we need to see:
B.Sc. or M.Sc. in Materials Engineering / Chemical Engineering / Mechanical Engineering.
2+ years of experience as a process engineer in the semiconductor, optics, or PCB industry.
Background in both R&D and mass production processes
Experience or ability to work with programable machines for process development.
Experience of working and maintaining different vendors.
Capability of working for many hours both in the lab and in the office.
Well-organized in gathering experiments data, analysis and summary.
Good presentation skills.
Teamwork player as well as a sole worker.
High level of English (Speak, read and write, and ability to travel abroad several times in a year per demand).
Ways to stand out from a crowd:
Experience in both R&D and mass production environments.
Previous role as a process engineer in the semiconductor/optics industry.
Strong background in Materials, Optics, and Mechanics.

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What you'll be doing:
Developing a brand new digital twin powered by CUDA technology for advanced research on data centers.
Collaborating with a team of extraordinary engineers and researchers to develop and implement innovative solutions.
Partnering with diverse teams to ensure smooth integration and deployment of network solutions.
Continuously exploring new technologies and methodologies to improve our network capabilities.
What we need to see:
Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
5+ years of experience in computer science, network engineering or related fields.
Excellent problem-solving skills.
Outstanding collaboration and communication skills.
Ways to Stand Out From the Crowd:
Hands-on experience developing CUDA applications
Extensive knowledge of network protocols
Proficient knowledge of extensive network simulations and AI datacenter ecosystems.

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We are looking for candidates that have solid analytical, design and problem diagnosis skills. Expertise with high-performance systems or service design is a plus. You should be comfortable through all phases of software development, including hiring and growing your own team of managers. The ability to translate high-level technical requirements into executable project plans is essential. If this sounds like you, come join us and help AWS continue to lead the cloud computing revolution.What is in it for you?· Gratification: You will know you are solving problems most software developers don’t yet know exist.
· Critical: Databases are cornerstones to many of our customers’ applications.
· Ownership: you will quickly become responsible for key components of the service.
· Learn: If want to learn about challenges of large-scale fault tolerant systems in practice – this is an opportunity of a lifetime.
· Innovate: We learn from our customers and invent every day.
· Make history: AWS is the leader in a current industry wide revolution.
· Have fun: Surround yourself with engineers that like to solve complex problems, but also work in a fun environment.
Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
- 3+ years of engineering team management experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

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What you’ll be doing:
Lead a team of±5engineers in the advanced technologies development
Design and implement solutions throughout all layers from high level application, OS and driver subsystem to firmware
Work on impactful projects involving state-of-the-art high-performance computing hardware and software
Provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology
Collaborate with NVIDIA partners and customers
What we need to see:
B.Sc. in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience
10+ overall years of industry experience in system programming or related fields and 3+ years of experience leading a team
Understanding of multi core hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers, real-time
Excellent programming skills
Ability to learn complex concepts in a fast pace environment
A teammate with a can-do attitude, high energy and excellent interpersonal skills
Ways to stand out from a crowd:
Familiarity with networking protocols
Experience with open-source projects (coursework, personal, or contributions)
Working in a fast-paced and dynamic environment

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What You’ll Be Doing:
You will have a significant impact in developing the next-generation Unified Fabric Manager (UFM) product.
Help drive the underlying technology stack and implementation methodology, ensuring it competes at a world-class level.
Collaborate closely with other SW R&D teams and SW Architects to successfully implement ambitious projects.
Engage in performance tuning and automation to build a flawless operational environment.
Design and implement micro-services architecture to support our advanced, high-scale SDN management solutions.
Work in an agile environment, ensuring continuous improvement and innovation.
What We Need To See:
We are looking for candidates with the following proven qualifications and experience:
B.Sc. or equivalent experience in Computer Science or a related field.
8+ years of hands-on experience with system software design, development, and maintenance, particularly in C/C++ programming.
Debugging and performance analysis skills are strictly required.
Significant advantage if you have Python programming experience.
Proficiency with Dockers, Kubernetes, and other orchestration tools.
Background with RESTful web services and experience with Continuous Integration and Continuous Delivery.
Excellent interpersonal and written communication skills to foster collaboration and inclusion.
Ways to stand out from the crowd:
Extensive knowledge and deep understanding of Linux system programming.
A track record of solving sophisticated problems with elegant solutions.
Demonstrated ability to deliver complex projects in previous roles.
Experience building infrastructures and tools to speed up development, testing, and release.
Experience in agile software development methodology.

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What you’ll be doing:
Enhance NVIDIA's GPU Networking offerings for accelerating AI workloads, such as NVIDIA Dynamo or NVIDIA NIXL.
Develop and evaluate new technologies, innovations relevant for scientific, Deep Learning, and data-intensive workloads.
Create proof-of-concept to evaluate and drive such new technologies.
Work on impactful projects involving state-of-the-art high-performance computing software and hardware.
Designing and implementing services, runtime systems, and applications over SDK
Partner and collaborate with other forward-thinking team members and external researchers
What we need to see:
Hold a B.Sc. or M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university.
0-2 years of industry experience (or equivalent) in system programming or related fields.
Background in algorithm design, system programming, and computer architecture.
Strong programming and software development skills.
A teammate with a can-do attitude, high energy and excellent interpersonal skills.
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Ways to stand out from the crowd:
Proven research track record.
Experience and passion for system architecture,CPU/GPU/Memory/Storage/Networking.
Stellar communication skills.
Knowledge in Deep Learning frameworks and AI communication libraries (NCCL, UCX, MPI and equivalents).
These jobs might be a good fit