Dft Verification Engineer jobs at Nvidia in Israel, Tel Aviv-yafo

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’ll be doing:

• Work on NVIDIA current and next generation of Networking devices and GPU.

• Build and create Firmware Phy solutions for our new SerDes and physical linkup flow.

• Work closely with our costumer support team to build solutions for our costumers

• Work with the architecture, HW, and SW design teams

• Debug and screen HW/FW/SW issues

• Lead data-driven discussions about the product functionality and areas for improvement

• Define implement and maintain FW algorithm to control the Silicon

• Take an active part in silicon bring-up and SW development phases

What we need to see:

• B.Sc. or M.Sc. in Electrical or Computer Engineering

• 3+ years of relevant experience

• Proficient programming in C

• Experience working in Git.

• Debugging experience and ability to investigate and triage difficult problems in embedded FW

• Good communication skills and the ability to work with people across several countries

• Ability to work with interrupts and dynamic environment with good spirit.

• Excellent English verbal and written communication skills

Ways to stand out from the crowd:

• Proficient in Python

• Good understanding of SerDes operation

• Experience with developing the physical layer of communication protocols

• Knowledgeable of Hardware/Software Development Process

• Strong collaborative and interpersonal skills, with an ability to successfully guide and influence

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:

• The person will be part of the NVIDIA AIR team that is building the SaaS/IaaS platform for digital twin of AI data centers.

• The responsibility specifically is for DevOps, infrastructure and Site Reliability Engineering (SRE) requirements for AIR.

• Focus on efficiency by automating repetitive workflows.

• Working on microservices based architecture.

• Deploying and troubleshooting non-disruptive cloud operations with an emphasis on secure production infrastructure.

• Continuous evaluation of existing system and driving improvements.

• Managing deployment/upgrade for Operating Systems, Kubernetes(k8s) clusters and/or or other orchestration tools.

• Day to day support for engineering activities with CI/CD tools like git, Jenkins.

• Efficiently multi-tasking on the different tracks to efficiently address evolving priorities .

What we need to see:

• BSc in Engineering/ Relevant Certifications/ equivalent experience.

• 5+ years of experience in complex microservices basedarchitectures

• Highly skilled in Kubernetes and Docker

• Experience in IaaS environment - deploying, configuring, and administering Linux-based bare metal servers

• Strong networking background (VLANs, routing, VPNs)

• Experience with relational databases(MySQL) and SQL.

• Experienced with modern deployment architecture for non-disruptive cloud operations including blue green and canary rollouts

• Infrastructure as code (IaC) skills in frameworks like Ansible & Terraform

• Expert in AWS

• Knows best practices and discipline of managing and monitoring a highly available and secure production infrastructure

Ways to stand out from the crowd:

• Strong expertise in Infrastructure as a Service (IaaS)

• Skills in Linux/Unix Administration

• Experience with Prometheus/Grafana.

• Experience with APM tools like Dynatrace, Datadog, AppDynamics, New Relic, etc.

• Implemented robust metrics collection and alerting

What you will be doing:

• STA analysis of blocks/top-level according to specifications under challenging constraints targeting for the best power, area, and performance.

• Be exposed and work on a variety of challenging designs (including high cell count and HS blocks). Resolving complex timing and congestion problems.

• Daily work involves all aspects of static timing analysis - constraints, environment, models generation and timing ECO generation for block level and full chip level.

• Taking part inflows development.

What we need to see:

• B.SC. in Electrical Engineering/Computer Engineering.

• 2-5 years of experience as STA engineer.

• Ability to quickly adapt to new technology and go deep into new areas

• Strong communication skills

• Great teammate.

• Drive new solutions based on any issues that arise

Ways to Stand Out From the Crowd:

• Knowledge in physical design flows and methodologies (PNR, STA, physical verification).

• Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.).

What you'll be doing:

• Work in a combined design and verification team which develops some of the switch silicon core units.

• Build reference models, verify and simulate chip blocks/entities according to specifications.

• Work closely with multiple teams within organizations such as Architecture, Micro- Architecture, and FW.

What we need to see:

• 4+ years of experience in RTL design or RTL verification.

• Previous experience in networking - an advantage.

• B.Sc. in Electrical Engineering or Computer Engineering.

• A team player with good communication and interpersonal skills.

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).