דרושים Senior Business Analyst

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 with SI, Thermal, Hardware engineering, IC development team to examine and understand road map requirements, understand the gaps. Collaborate with PCB, PCBA, materials vendors, R&D teams and management, drive capabilities to overlap with NVIDIA NETWORKING needs.

• DFX: Build and Sustain design guidelines for functionality, test ability, reliability, cost. Become an active member in industry Eng. forums, IPC, HDPUG, SMTA... Reflect Nvidia’s interest and affect Industry specs & agenda. Preform Industry Benchmarking.

• Ongoing PCB/PCBA activities: New materials from Selection to Implementation. New manufacturing technologies study, proof of concepts and implementation on products. Provide ongoing technological and process improvements to meet quality, cost and production goals. Engage with production line work. Provide ongoing production support to ensure continuous production.

• PCB, PCBA reliability modelling.

• Drive CMs to excellence in aspects of manufacturing process, quality management and HVM mindset.

What we need to see:

• B.Sc. in Physics/ Chemistry /Material Engineer /Chemistry Engineering/ Electrical Engineering/ Mechanical Engineering

• At least 5 years of experience in PCB and PCBA technology and development, demonstrating advanced knowledge and expertise in this area

• Fully capable to read mechanical drawings, Gerber files and know general mechanical knowledge.

• Strong problem solving, debugging, analysis and logical reasoning skills with examples to prove it.

• Flexibility for handling a wide range of activities and wide technological fields.

• Good written and spoken English.

Ways to stand out from the crowd:

• Possess excellent written and oral communication skills, good work ethics, self-learning capability, love to technical education, high sense of team-work.

• Love to produce quality work and commitment to finish your tasks every single day, has a Can-do as well as take ownership attitude.

• A self-starter who loves to find creative solutions to challenging problems.

• Strongly capable of leading cross functional teams within the organization and Technology PICs in multi CMs/Vendors

• Strong problem-solving and analytical skills to identify and resolve technical issues during the product development process.

What you'll be doing:

• Develop verification infrastructure in Python, tackling complex technical challenges, to ensure the robustness and correctness of DOCA™ Services

• Engage in the full software development lifecycle of verification components, from design to implementation, and deployment

• Write tests forverifying the functionality and performance of the DOCA platform

• Debug and analyze complex system-level issuesto identify root causes and ensure timely resolution

What we need to see:

• Bachelor's or Master's degree in Computer Science or Software Engineering

• Proven experience of 5+ years as a software engineer, with a focus on building complex software systems

• Strong knowledge and practical experience in software design and architecture principles

• Proficiency in programming languages such as Python, Java, C++ or similar

• Deep understanding of software development methodologies and best practices

• Excellent problem-solving skills and the ability to tackle complex technical challenges

• Effective communication and collaboration skills, with the ability to work in a team environment

• Demonstrated leadership capabilities and the ability to inspire and motivate team members

• Track record of delivering high-quality work on time and meeting project deadlines

Ways to stand out from the crowd:

• Expert level knowledge in the Python programming language.

• Background in Operation Systems, preferably in Linux

• Knowledge in one or more of the following Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols

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