דרושים Solutions Architect Ai Cloud Services ב-אנבידיה ב-United States, California

What you'll be doing:

• Enhance and maintain current-generation infrastructure and tools, addressing the needs of our customers for better platform capabilities, performance, and stability.

• Support partners in the development and deployment of their streaming experiences.

• Deploy various services and oversee their reliability and security.

• Write effective, clear and reliable architecture requirements and design specifications.

• Work closely and simultaneously with multiple NVIDIA expert teams around the world.

What we need to see:

• B.Sc./M.Sc. degree in Computer Science, Computer Engineering (or equivalent experience).

• 10+ years experience as a Full-Stack Software Developer.

• Broad knowledge and understanding of networking protocols and common network topologies, with a deep understanding of Cloud-based audio and video streaming.

• Hands-on cloud virtualization, networking, and orchestration experience.

• A combination of React, Javascript, Typescript, C/C++, Python or Go programming skills.

• Willingness to be full-stack across both frontend and backend is a must.

• Ability to understand customer needs and translate them into functional and user experience enhancements.

• Hands-on Linux development experience.

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

• Excellent communication, documentation, and presentation skills.

Ways to stand out from a crowd:

• Background with data center technologies, network topologies and Cloud.

• Experience with Docker, Containers, Kubernetes components & subsystems.

• Experience with Proton and other virtualization technologies.

• Good understanding of operating systems and drivers.

• Experience developing and deploying deep-learning models: LLMs, text-to-speech, and more.

What you’ll be doing:

• Collaborating with business development in guiding the customer through the solution adoption process for our Metropolis, Isaac and IGX AI SW platforms, GPU Computing and IGX/Jetson, being responsible for the technical relationship and assisting customers in building creative solutions based on NVIDIA

• Be an industry leader with vision on integrating NVIDIA technology into intelligent machines’ architectures

• You will engage with customers to develop a keen understanding of their goals, vision and plans, as well as technical needs – and help to define and deliver high-value solutions that meet these needs

• Train customers on the adoption of our AI platforms, develop and optimize proof of concepts using the Nvidia robotics and Metropolis platforms as well as the Jetson/IGX SDKs

• Establish positive relationships and communication channels with internal teams

What we need to see:

• BS or MS in Electrical Engineering or Computer Science or equivalent experience

• 8+ years of work-related experience in a high-tech electronics industry in a similar role as a systems or solution architect

• AI practitioner experience

• C, C++, and Python coding

• Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects

Ways to stand out from the crowd:

• NVIDIA GPU development experience

• Experience with Omniverse, ISAAC and Metropolis

• Experience with generative AI on Jetson or IGX, RIVA, VSS

What you’ll be doing:

• Pre-silicon Power Estimation: Model and estimate CPU power at C-model, RTL, and netlist stages using industry-standard tools.

• Power Optimization: Identify inefficiencies and drive design improvements in collaboration with architects, RTL designers, and PD engineers.

• Test Development: Create targeted power characterization tests (e.g., peak power, di/dt stress patterns) for both simulation and silicon.

• Silicon Validation: Measure CPU power and performance in the lab; correlate silicon results with pre-silicon estimates to refine models.

• Cross-functional Collaboration: Partner with multiple engineering disciplines to achieve optimal power efficiency without compromising performance.

What we need to see:

• BS/MS in EE, CE, or CS or equivalent experience.

• 3+ years of experience working in ASIC power measurement and optimization.

• Strong understanding of leakage and dynamic power in VLSI circuits

• Experience with RTL and netlist power analysis tools such as Power Artist, PrimeTime PX, or equivalent.

• Familiarity with CPU microarchitecture (CPU pipeline design, out-of-order execution, cache hierarchy, branch prediction) and understanding of microarchitectural power model.

Ways to stand out from the crowd:

• Proficiency in Python for automation and data analysis.

• Experience with DVFS, clock gating, power gating, and multi-voltage domain design.

• Knowledge of lab instrumentation for power measurement.

• Strong communication skills for cross-team technical discussions.

What you'll be doing:

• Own and complete the building and development of reporting solutions across SFDC, Wrike, Power BI, and related platforms based on field and management needs.

• Lead needs assessments and requirements analyses to identify efficient tools and processes for business reporting.

• Build, analyze, and present data-driven insights and forecasts, offering actionable recommendations to collaborators.

• Develop and maintain NVIS dashboards that deliver clarity and performance visibility across key operational metrics.

• Collaborate with cross-functional teams—engineering, operations, planning, OEM partners, and logistics—to document and optimize lifecycle processes.

• Serve as the primary contact for Data Analytics process blocking issues for lifecycle accountability, ensuring efficient and transparent issue resolution.

• Monitor operational performance, document workflows, and drive continuous improvement initiatives across data and logistics functions.

What we need to see:

• Bachelor’s degree or equivalent experience.

• 5+ years of experience overall, with at least 4 years in data reporting, process mapping, supply chain, logistics, or related program management.

• Verified background in building dashboards and analytics through SFDC, Wrike, Power BI, or related tools.

• Strong understanding of information systems integration, reporting methodologies, and data visualization guidelines.

• Excellent analytical, problem-solving, and communication skills for cross-functional collaboration.

• Demonstrated ability to detail and refine processes, manage reporting tasks, and synthesize insights for executive audiences.

What you will be doing:

• Develop and implement cloud security features and solutions for aspects such as cheat detections, privilege critical issues that are scalable, reliable, and secure.

• Conduct security assessments of our cloud infrastructure, services, and applications to identify potential vulnerabilities and recommend security improvements.

• Partner with peer development teams to verify that hardware deployments, datacenter configurations, services, and applications maintain security and enforce relevant security standards.

• Develop, review, and roll out security controls, such as access controls, encryption, intrusion detection, and data loss prevention.

• Develop and maintain security policies and procedures.

• Keep up to date with emerging security threats and trends; develop strategies to mitigate these risks.

• Collaborate with other security and IT teams in NVIDIA to ensure that security guidelines are coordinated into all aspects of our cloud-based infrastructure.

• Support the transfer of security knowledge and expertise to GeForce Now product team members.

What we need tosee:

• BS, os MS in Computer Science, Electrical Engineering, or Computer Engineering (or equivalent experience).

• 3+ years of proven experience.

• Proven knowledge of the Kubernetes platform, with a track record of working with and securing a global cloud environment.

• Solid understanding of cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP) or Oracle Cloud Infrastructure (OCI).

• Solid security architecture knowledge of key building blocks such as networking, data ingress/egress technologies,authentication/authorizationdesign patterns, encryption standards for data in transit and in persistence, and data integrity controls.

• Hands-on secure cloud development and deployment experience

• Understanding of security compliance frameworks such as PCI-DSS, HIPAA, and SOC2.

• Excellent problem-solving skills and the capacity to work autonomously as well as collaboratively.

• Strong communication skills, with the ability to clearly articulate technical information to both technical and non-technical audiences.

Ways to stand out from thecrowd:

• Practical experience in working on cloud IaaS platform or operating services

• Proven hands-on experience with more than one public cloud platform.

• Relevant certifications such as Certified Cloud Security Professional (CCSP), Certified Information Systems Security Professional (CISSP), or equivalent.

What you'll be doing:

• You will be managing a team of software engineers passionate about developing tools and software/firmware solutions for next generation NVLink systems in the data center.

• Provide technical direction and strategic leadership in the design, development, and deployment of debug tools using LLMs, agentic AI , and related technologies and their integration into production systems.

• Be the primary technical leader passionate about developing debug features into the software stack.

• Collaborate with software, firmware and platform teams to direct the investigation and resolution of complex issues in the software/firmware stack.

• Align priorities across collaborators and define metrics for measuring the success of the product/team.

What we need to see:

• BS+ degree in CS or related or equivalent experience.

• 10+ overall years of industry large distributed system software development experience.

• 4+ years of experience managing of AI /SW development teams.

• Experience debugging functional and performance issues in complex software /firmware systems

• Strong technical foundation in software engineering, particularly Python, data structures, and system design.

• Excellent communication, collaboration and problem-solving skills, with a dedication to encouraging an inclusive and diverse workplace.

• Demonstrated success in leading cross-functional teams across architecture, firmware/hardware interfaces

What you’ll be doing:

• Introduce and integrate NVIDIA networking products with Hyperscalers

• Build customers’ trust and understand their unique needs

• Address sophisticated and obvious customer issues alongside engineering and support teams

• Conduct technical meetings for project/product details, feature discussions, and debugging sessions

• Partner with Sales and Product teams to identify and secure business opportunities, analyze network requirements, and designs next-gen AI platforms

• Develop Proof of Concept (PoC) solutions for critical business needs

• Prepare and deliver technical presentations and workshops to customers

What we need to see:

• Bachelor’s degree or higher in Electrical/Computer Engineering or related field (or equivalent experience)

• 12+ years of Solutions Engineering or similar engineering experience

• Passion to enhance customer experience

• Proficiency in networking fundamentals, including NICs, server systems, data center architecture, switching, routing, networking protocols, and data center architecture

• Comprehensive knowledge of computer system architecture, Linux, PCIe devices as it relates to networking performance

• Experience in configuring, testing, and troubleshooting in networking environments

• Ability to work independently and manage multiple priorities

• Excellent communication skills to act as a trusted advisor to customers

Ways to stand out from the crowd:

• Experience working with custom network OS (such as SONiC, FBOSS, or similar)

• Experience working with or calling on Cloud Service Providers (e.g., Meta)

• Exemplify a unique combination of strong interpersonal skills and technical proficiency

• Showcase in-depth knowledge of RDMA, including performance testing and AI benchmarking

• Background with NVIDIA hardware and software