דרושים System Software Manager - Gpu Fabric Networking ב-אנבידיה ב-Israel, Tel Aviv-yafo

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.

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++)

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

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:

• Design and develop high performance networking solutions based on NVIDIA's outstanding Bluefield networking cards hardware

• Engage closely with customers and partners.

• Collaborate with multiple teams in our multi-functional environment on developing newfeatures/improvements.

• Stay up to date with industry best practices, new technologies, and emerging trends in software verification.

• Write fast, effective, maintainable, reliable and well documented code

• Innovate! Bring NVIDIA's DPU products to shine in customer's view

What we need to see:

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent work experience)

• 5+ years of experience in writing programs using C/C++

• Experience with embedded SW development

• Good background in designing, implementing, and debugging Software

• Experience in development under a Linux environment

• Extensive knowledge in Software debugging and problem solving skills

• Strong design, coding, analytical, debugging and problem-solving skills

• Ability to work concurrently with multiple groups in the organization

• Creative, motivated, and value driven person

Ways to stand out from the crowd:

• Experience with networking applications and protocols

• Expertise in driver development along with deep knowledge of modern C++ programming

• Proficiency in Python development

• Background in BMC, UEFI, Secure Boot, U-Boot, ATF, and Yocto

• Previous experience working closely with hardware and board design teams

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.