Principal Software Engineer- AI Networking

ARM
Valbonne, France
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
€101,700.0 - €137,700.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence ARM Architecture C++ (Programming Language) Computer Programming Computer Networks Data Structures Software Debugging Linux Kernel Multiprocessing Open Source Technology Pytorch Containerization
+3 more
Kubernetes Free and Open-Source Software Hardware Infrastructure

Job description

The Software (CE-SW) group is responsible for developing and improving the software ecosystem around Arm’s next generation architectures and systems. 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., As a Principal Software Engineer in Infrastructure Application Solutions team, you will be working on the networking software stack for AI applications. You will be owning the product technical architecture and delivery. The responsibilities include:

  • Driving overall system architecture and design of all individual components of AI NW software stack to ensure flawless operation of the entire product on Arm platform.
  • Benchmarking, analyzing and optimizing the network software stack to provide best performance on Arm platform for running AI workloads.
  • Working with open-source communities and key global partners to craft and release key software components aligned with Arm architecture.
  • Collaborate with partners and customers across the globe to build and deliver high quality networking software stacks for Arm platform., Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Requirements

We are looking for an accomplished Software Engineer with a deep knowledge of developing high-performance networking software to be leveraged by AI frameworks. The successful candidate will be working with vibrant software and hardware teams across multiple geographies on ground-breaking products and will be presented with opportunities to vastly grow their technical understanding.

If you are similarly passionate about innovative technologies, then we would love to hear from you!, A candidate should:

  • Have a deep understanding of the requirements and functionalities of high-performance networking software and proven experience in leading software product delivery.
  • Have an outstanding grasp of computer architecture and operating systems and in-depth knowledge of data structures, algorithms and multi-core programming.
  • Be highly proficient in C and C++ to the extent where they can write and debug complex software as well as guide and assist others to do the same.
  • Be motivated to accept a variety of responsibilities in contributing to Arm’s success and capable of inspiring and mentoring junior members of the team.
  • Have excellent communication and presentation skills with the ability to generate consistent, complete and concise written specifications.

“Nice To Have” Skills and Experience:

The following experience will be looked upon favourably:

  • Experience with open-source software contribution processes.
  • Hands on development experience with high performance networking software, including areas such as Linux kernel networking, NIC drivers, DPDK PMDs, VPP, AF_XDP and kernel bypass.
  • Experience with networking software stack components for AI applications such as RoCE, libFabric, OpenMPI, Gloo, NCCL, OneCCL, etc.
  • Familiar with PyTorch based training applications or concepts related to SDN and cloud native technologies such as Kubernetes and CNIs.

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