Senior Power Performance Architect jobs at Nvidia in Israel, Tel Aviv-yafo

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.)

with opportunities for growth, learning, and leadership.

Join one of the most desirable employers in the tech industry and help us build the next generation of GPU networking silicon.

What you’ll be doing:

• Drive chip-level integration for advanced GPU networking silicon projects.

• Collaborate with architecture, RTL design, verification, FV and physical design teams to ensure seamless integration and optimal performance.

• Develop and maintain integration flows, methodologies, and automation to improve efficiency and quality.

• Perform RTL synthesis, timing analysis, and support verification and post-silicon activities.

• Handle Clock Domain Crossing (CDC) checks and ensure robust design practices.

• Work closely with multiple teams across architecture, micro-architecture, backend, and firmware to deliver high-quality silicon.

• Contribute to state-of-the-art technologies delivering industry-leading throughput and ultra-low latency for GPU networking solutions.

What we need to see:

• B.Sc. in Electrical or Computer Engineering

• 5+ years of experience in chip design, integration, RTL design and/or verification

• Strong knowledge of Verilog /System Verilog and RTL design principles.

• Hands-on experience with CDC analysis, synthesis, and timing closure.

• Familiarity with EDA tools (Synopsys, Cadence, Mentor) and scripting languages (Python, TCL).

• Excellent communication skills and ability to work in a collaborative, fast-paced environment.

Ways to stand out from the crowd:

• Knowledge of network protocols, HPC, or distributed systems – an advantage.

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.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

What will you be doing:

• You will bring together and understand internal and external customer requirements to improve AI cluster resiliency and design AIOps-based solutions that address these needs.

• Develop automated workflows for issue detection and root cause analysis and closely collaborate with operators to debug sophisticated, full-stack AI cluster problems. We will bring to bear the findings for product improvements!

• Deliver compelling technical presentations and lead hands-on demos or training. You'll also handle evaluation deployments (POC/POV) and ensure smooth, reliable installations by staying engaged and encouraging throughout the customer journey.

What we need to see:

• Bachelor of Science or equivalent experience

• 8+ years of networking experience in enterprise or service provider environments, with strong hands-on expertise in routing and switching.

• Proficient in scripting and automation using Python or similar languages, with strong Linux expertise.

• Proven experience working directly with customers to resolve issues and ensure success in Systems Engineer or SRE roles.

• Exceptional oral, written, and presentation skills for clearly communicating complex technical topics.

• Demonstrated ability to collaborate effectively across teams, partnering with operations, engineering, and product development

Ways to stand out from the crowd:

• Experience with data center infrastructure and cloud architectures

• Background in network performance monitoring or observability

• Previous experience working at a technological start-up

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.