Software Engineer, Core Networking

Apple Inc.
San Francisco, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote
San Francisco, United States of America

Tech stack

Artificial Intelligence
C++
Computer Networks
Device Drivers
Hardware Design
Network Virtualization
Remote Direct Memory Access
Transmission Control Protocol (TCP)
Toolchain
Private Cloud Environment
Computer Network Technologies
Build Management
Information Technology

Job description

The Core Networking team is responsible for developing, deploying and operating Apple's networking software. Whether it's TCP/IP networking stack software that powers billions of iPhones, or high performance kernel bypass and hardware offload running on Apple Silicon servers powering Private Cloud Compute, our work covers the entire network lifecycle, including silicon/hardware design, driver and runtime.

Requirements

The candidate needs to be able to work in a fast paced environment, operate gracefully under stress, handle multiple assignments in parallel, and be self driven to be effective in an environment with little overhead. The candidate also needs to show initiative, be able to take ownership of a problem area, and demonstrate an ability to understand the role of the group's technology in the larger context of the product and network environment. The position has cross-functional aspects and the candidate will need to show excellent interpersonal and communication skills., * BS in Computer Science, Electrical Engineering or equivalent networking software development experience

  • Skill in C/C++, software build toolchain and utilities
  • Knowledge and experience with TCP/IP networking

Preferred Qualifications

  • Experience in advanced networking architecture (DPDK, RDMA, HW offload, network virtualization)
  • Experience in RDMA/RoCE networks
  • Experience with NIC HW offloads
  • Experience with Collectives and GPU communication for AI workloads
  • Experience with kernel and driver development

Apply for this position