Software Engineer - QA

The Software (CE-SW) group is responsible for developing and improving the software ecosystem around Arm's next generation architectures and systems. Work on next-generation Arm-based SoC innovation shaping the performance, efficiency, and reliability of future computing platforms.

This means working with processors and other hardware technology not yet available to the public. You will join a team of Software Engineers who share a passion for leaving their mark on the future of computing.
Job Overview:

This role combines hands-on technical leadership with responsibility for leading and developing a team of QA engineers delivering complex software for our cloud and data center products.

You will provide technical direction to the team, develop engineering capability and drive effective delivery across SoC, firmware and system software.

This is an opportunity to make an impact at scale!
Required Skills:

• Strong C/C++ programming skills for low-level system and hardware validation as well as Python & Shell scripting
• Strong understanding of the Linux server ecosystem, including firmware, kernel, device drivers, networking, storage, system management and hardware bring-up.
• Experience with server management and BMC-based platform management.
• Experience with application processors and embedded/control processors in complex SoCs.
• Understanding of secure boot, boot-stage sequencing, firmware authentication, reset flows, watchdogs, inter-processor communication and mailbox mechanisms.
• Hands-on validation, debugging and stress-testing experience in some of the following:
• System-Level Testing: CPU, memory, high-speed I/O, RAS & Telemetry, Power & Thermal Management,High-Speed I/O & Networking: PCIe, NVMe, Ethernet and RDMA/RoCEv, Performance and Stability testing etc

Nice to have skills:

• Knowledge of MPI/CCL-style communication stacks and collective operations such as All Reduce, All Gather, Reduce Scatter and Broadcast.
• Knowledge of 100G/200G/400G Ethernet, RDMA/Verbs, accelerator networking, AI/HPC systems and data-centre networking.
• Understanding of scale-up and scale-out communication architectures.
• Knowledge of PyTorch and running/debugging neural-network workloads on accelerator hardware.
• Knowledge of representative AI/ML training and inference workloads and their use for functional, performance and stress validation.
• Understanding of model execution, tensor shapes, data types, numerical accuracy and reference-result comparison.
• Knowledge of accelerator-system validation with concurrent compute, memory, networking and I/O workloads.
• Knowledge of AI/ML benchmarking, workload automation, long-duration stability and regression testing.

Join us and help shape world-class infrastructure technology at Arm! This is your chance to grow, develop new skills, and build a successful career at a leading technology company.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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