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Join our team as a Senior Site Reliability Engineer. At our company, you'll be part of the team shaping the future of computing and guaranteeing the smooth operation of our brand-new technologies. Our mission is to leverage AI's power to build outstanding and pioneering solutions that have a significant impact on the world.
What you'll be doing:
Own the solutions you build, collaborating with cross-functional teams to successfully implement them.
Collaborate with various teams in a fast-paced environment to ensure seamless project completion.
Continuously improve solution provisioning and management through automation.
Detect performance issues and recommend solutions to maintain world-class service quality.
Conduct capacity management and planning to meet ongoing operational needs.
Participate in incident reviews, assist in root cause identification, and write RCA reports.
Deliver SRE solutions in a globally distributed, multi-cloud hybrid environment - AWS, GCP, and On-prem.
Participate in the team's on-call rotation.

our company has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technologyand amazing people.
Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. As a worker, youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team that is building AI platform for operating AI factories to make a lasting impact on resilient operations of AI clusters.
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.

We are looking for an experienced Firmware System Engineer to deliver reliable solutions for safe Firmware releases to our Next AI Gen product lines.In this role, you will work closely with engineering, product, and architecture teams to bring up advanced our company network and AI products and silicons, ensuring a smooth and secure Firmware release process for mass production.
The dynamic and fast-paced work environment will require you to excel in problem-solving and system-level debugging, all while fostering collaboration among exceptional engineers across our company's global sites.
What youll be doing:
Identify, diagnose, and addressing high-value problems during the product onboarding process, such as software compatibility, PCIe, security, network interoperability and communication issues between components
Verify that all integrated components interact as intended. This includes functional testing to ensure software components work correctly on various hardware testing platforms
Validate firmware features for production at hardware power-on stage
Bridge between software, architecture, HW and production engineering teams.

we are leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.
Come work for the team that brought to you NCCL, NVSHMEM & GPUDirect. Our GPU communication libraries are crucial for scaling Deep Learning and HPC applications! We are looking for a motivated Partner Enablement Engineer to guide our key partners and customers with NCCL. Most DL/HPC applications run on large clusters with high-speed networking (Infiniband, RoCE, Ethernet). This is an outstanding opportunity to get an end to end understanding of the AI networking stack. Are you ready for to contribute to the development of innovative technologies and help realize our company's vision?
What you will be doing:
Engage with our partners and customers to root cause functional and performance issues reported with NCCL
Conduct performance characterization and analysis of NCCL and DL applications on groundbreaking GPU clusters
Develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.)
Guide our customers and support teams on HPC knowledge and standard methodologies for running applications on multi-node clusters
Document and conduct trainings/webinars for NCCL
Engage with internal teams in different time zones on networking, GPUs, storage, infrastructure and support.