We are looking for Senior Enterprise Software Customer Support QA Engineer to join our Compute CUDA Quality Assurance team. This position will be working as a part of a team that is focused providing world-class support to NVIDIA’s enterprise customers.
Nvidia's customers those works on deep learning ignited modern AI - the next era of computing with the GPU acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. You will actively contact customers and develop internal relationships to bring to bear NVIDIA's internal expertise.
Are you ready to support the next generation of GPU's and validate and support them for customer specific issues, help to design innovative solutions, mine through data to uncover real problems and reproduce them as required? Contribute towards our technical strategy and development of our value messaging for your companies. Be the key advisor to how we are differentiated. Then We'd love to have your skills on the team.
What you’ll be doing:
We will provide direct support to our NVIDIA Enterprise customers and work to answer questions, reproduce, resolve, or escalate customer issues
Support and own lab activities.
You will dig more data, analyze much more to improve the performance/predictability of the system.
Answer questions, reproduce, resolve, or escalate customer issues, that include Reporting/Updating on supplier performance metrics, questionnaire at different knowledge base forums, including NVIDIA customer sites
Own and drive customer issues from inception to resolution
Focus on making our customer's customer experience as efficient as possible by improving the ease of use and ease of getting optimal performance.
As a key team member make sure to have proper tools and error injection strategy in place for system software areas.
You will contribute in bring up of hardware when required and lead/influence/contribute to standards in system management and hardware enablement areas.
Responsible to keep task tracking system up to date in agile development environment.
Develop test plan and execute testing for Compute software releases on all compute platforms including Tesla GPUs, Nvidia turnkey systems and OEM systems.
Monitor various forums on CUDA and provide answers to forum posts
What we need to see:
Discipline (BS; MS preferred) and 5+ years' experience in SW QA
You will be evangelizing the errors, stats & configuration appropriate to CPU, DIMM, SSDs, NICs, IB, BMC etc. for an enterprise readiness of DGX systems.
Excellent follow-up and organizational skills
Managing failure analysis process and capability
Strong knowledge in QA methodology and pay attention to details
Strong knowledge in Cluster and cluster management
Should be experienced in developing test strategies, high quality test plans and test execution
Should be proficient in building test setups, should have good HW and SW troubleshooting skills.
Strong knowledge of UNIX or Linux systems administration
Python scripting is a must
Ways to stand out from the crowd:
You're a self-starter with a mindset for growth and continuous learning