WLAN Linux Networking Engineer Staff (Software)

Technology, Data & Digital · Software & Web Development · Software Engineering

In short

Qualcomm is looking for a WLAN Linux Networking Engineer Staff (Software) to join their Wi-Fi Access Point networking data path team. The role involves working on networking protocols, data paths, AI/ML traffic management, and device drivers, solving complex performance and system problems for wireless LAN solutions.

Responsibilities

Develop, release, and maintain network stack and network offload features and/or applications for advanced networking products.
Solve networking problems for top-of-the-line network and wireless customer product launches and deployments.
Engage in cutting-edge performance improvement exercises by identifying and resolving SW/HW performance bottlenecks.
Participate in pre-silicon emulation and post-silicon software development and validation efforts.
Collaborate with peer teams to define clean and scalable SW interfaces.

Requirements

10+ years of experience in software development using C/C++ in Networking / Linux device drivers / system software / Embedded software domains, ideally involving ethernet or Wireless LAN drivers.
Very good understanding of Linux Kernel internals and experience with low-level kernel programming such as writing/modifying device drivers.
Strong in C programming.
Good knowledge of basic network protocols such as TCP, UDP, IPv4, IPv6, ARP, DHCP, VLANs.
Strong analytical, problem-solving and debugging skills.
Strong team communication, and interpersonal skills, with an ability to communicate with teams across the globe.
Strong architectural skills to design and implement for performance, modularity, and portability.

Desired Qualifications

Knowledge of L2/L3/L4 packet forwarding schemes such as Linux bridge/route/tunnels/OpenVswitch/DPDK/VPP is a plus and would help you stand out from others.
Knowledge of Linux network stack internals is a plus.
Relevant experience with ethernet/wireless LAN device drivers is a plus.
Strong understanding of CPU/IO architecture (ARM or others) concepts is a plus.
Prior experience with AI/ML based applications is a plus.