Senior Software Developer, AI Networking

NVIDIA

. Develop a highly optimized inference framework .

Posted 10/14/2026full-timeRemote • Romania, HungarySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing high-performance inference frameworks and low-level infrastructure, with a strong focus on modern C++/C/Rust programming, Linux environments, and TCP/IP networking. Proficient in leveraging GPU kernels and RDMA technology for scalable AI solutions.

Highest-signal resume keywords

Modern C++/C/Rust DevelopmentLinux Environment ExperienceTCP/IP Network Stack KnowledgeCUDA Kernel ProgrammingHigh-Performance Computing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C++CRustCUDATCP/IPLinuxParallel ProgrammingLow-Level Software OptimizationComputer ArchitectureOperating Systems

Tools & Technologies

GPU KernelsRDMA Network CardsML FrameworksLLMs

Certifications & Qualifications

B.Sc. in Computer ScienceB.Sc. in Software Engineering

Industry Keywords

Inference FrameworkAI Networking AccelerationHigh-Performance ComputingSupercomputersData Centers

Tech Stack

Tools & technologies

LinuxRustTCP/IPC++

About the role

Key responsibilities & impact

Develop a highly optimized inference framework
Work on a groundbreaking open-source AI networking acceleration library
Use hardware offloads, GPU kernels, and RDMA network cards
Build low-level, performance-oriented infrastructure for inference
Develop products focused on performance, scalability, and features
Work on systems running on the world's largest supercomputers and data centers

Requirements

What you’ll need

B.Sc. or equivalent experience in Computer Science or Software Engineering
6+ years of experience in modern C++ / C / Rust development
3 years of experience in a Linux environment and familiarity with development tools
Deep knowledge of the TCP/IP network stack
Understanding of computer architecture and operating systems concepts
Background in Linux internals and low-level software optimizations is advantageous
Experience programming CUDA kernels is an advantage
Familiarity with ML frameworks and LLMs
Background in parallel programming, high-performance computing, or RDMA technology

Benefits

Comp & perks

Aggressive compensation plan that rewards top performers
Competitive salaries
Generous benefits package
Opportunity to collaborate on products that transform daily the way people work and play
Opportunity to work with some of the brightest people in the industry