Network Software Engineer @ RunPod | Jobright.ai
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RunPod · 2 days ago

Network Software Engineer

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Artificial Intelligence (AI)Cloud Infrastructure

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Responsibilities

Design and implement high-performance networking software for Linux environments
Develop and maintain software for high-performance NICs (e.g., Mellanox/NVIDIA UFM)
Implement and optimize network protocols at OSI layers 1-4
Design and implement secure networking solutions, including mTLS/IPSEC
Collaborate with hardware supply teams to co-design software solutions that leverage advanced NIC features
Troubleshoot complex networking issues in large-scale distributed environments
Participate in code reviews and contribute to the team's technical standards
Implement networking systems which provide isolation between multi tenant workloads.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Linux networking stackNetwork accelerators XDPNetwork accelerators VPPProgrammingOSI layers 1-4TLS/IPSEC/VXLANHigh-performance NICsScalability solutionsNetwork performance optimizationSmartNIC programmingDPDKNetworking technologies (RDMA)Network simulation toolsLinux containers (LXC)DockerVirtual machines (VM)Network peering optimization

Required

Deep knowledge of the Linux networking stack and kernel internals
Proven experience writing and optimizing code for network accelerators like XDP or VPP at scale
Comprehensive understanding of OSI layers 1-4, including practical implementation experience
Experience with high performance network accelerators like XDP (eXpress Data Path) and VPP (Vector Packet Processing)
Strong background in TLS/IPSEC/VXLAN implementation and optimization
Proficiency in C, with a focus on high-performance, low-level programming
Demonstrated ability to optimize network performance in large-scale, high-throughput environments
Strong communication skills and ability to explain complex networking concepts to diverse audiences
Successful completion of a background check

Preferred

Master's degree or PhD in Computer Science, Computer Engineering, or a related field
Contributions to open-source networking projects or research publications in the field
Experience with DPDK (Data Plane Development Kit) or similar kernel-bypass technologies
Extensive experience working with high-performance NICs, particularly Mellanox/NVIDIA UFM
Familiarity with SmartNIC programming and offloading techniques
Knowledge of networking technologies like RDMA (Remote Direct Memory Access)
Experience with network simulation and modeling tools
Knowledge of network requirements and profiles for AI workloads (NCCL)
Experience with debugging Linux containers (LXC), Docker, and virtual machines (VM) issues
A strong understanding of network peering and cost optimization for data centers

Benefits

Stock options
The flexibility of remote work with an inclusive, collaborative team.
An opportunity to grow with a company that values innovation and user-centric design.
Generous vacation policy to ensure work-life harmony and well-being.

Company

RunPod

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RunPod is a cloud platform designed for GPUs, enabling developers to deploy customized full-stack AI applications.

Funding

Current Stage
Early Stage
Total Funding
$22M
2024-05-08Seed· $20M
2023-03-30Pre Seed· $2M

Leadership Team

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Zhen Lu
Co-Founder and CEO
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Pardeep Singh
CTO and Co-Founder
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Company data provided by crunchbase
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