NVIDIA
Technology
Manager,SoftwareEngineering–NetworkSimulationandTesting
Neural analysis suggests this role is
optimal for Manager candidates.
“Manager, Software Engineering – Network Simulation and Testing at NVIDIA. Skills: Network simulation, Testing frameworks, Team management. Lead software engineering team. Manage software engineers”
Industry & Context.
Debugging; Problem-solving; Analytical skills
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science, 8+ years software industry experience, 3+ years managing engineering teams, Python programming experience, C/C++ programming experience, Develop automation frameworks, Develop simulation frameworks, Develop testing frameworks, Linux development environments, DevOps methodologies familiarity, CI/CD pipelines familiarity, Automation tools familiarity, Debugging skills, Problem-solving skills, Analytical skills, Ability to learn quickly, Work effectively in fast-paced environment, Communication skills, Collaboration skills
Nice to Have
Networking technologies experience, Protocols experience, Build simulation environments, Build large-scale automated test systems, Containerized environments familiarity, Orchestration technologies familiarity, Infrastructure automation tools experience, Monitoring tools experience, AI/ML infrastructure background, Datacenter technologies background, Distributed systems background
What You'll Do.
Lead software engineering team
Manage software engineers
Drive design of simulation environments
Drive development of simulation environments
Drive design of testing frameworks
Drive development of testing frameworks
Collaborate with networking teams
Collaborate with software teams
Collaborate with QA teams
Collaborate with infrastructure teams
Validate networking technologies
Support development activities
Support debugging activities
Improve development workflows
Improve CI/CD processes
Improve software quality practices
Foster technical culture
Foster collaborative culture
Contribute to technical decision-making
Contribute to prioritization
Contribute to execution planning
How You'll Work.
Team & Collaboration
Networking teams; Software teams; QA teams; Infrastructure teams
Process & Methodology
Execution planning
Full Job Description
NVIDIA is seeking a Software Engineering Manager to lead a team developing advanced network simulation and testing software for next-generation AI and Machine Learning infrastructure. In this role, you will lead the development of tools and frameworks used to simulate, validate, and test networking environments at scale. These solutions play a critical role in ensuring the reliability, performance, and scalability of NVIDIA networking technologies powering cutting-edge ML and datacenter platforms. You will work closely with software, networking, QA, and infrastructure teams to deliver robust simulation and automation capabilities in highly complex environments. This position offers the opportunity to contribute to technologies shaping the future of AI infrastructure within a fast-paced and innovative organization. **What You’ll Be Doing:** * Lead and manage a team of software engineers developing network simulation and testing solutions * Drive the design and development of scalable simulation environments and automated testing frameworks * Collaborate with networking, software, QA, and infrastructure teams to validate next-generation networking technologies * Support development and debugging activities across complex simulated environments * Improve development workflows, CI/CD processes, automation, and software quality practices * Mentor engineers and foster a strong technical and collaborative team culture * Contribute to technical decision-making, prioritization, and execution planning ## ## **What We Need to See:** * Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent practical experience * 8+ overall years of software industry experience, including 3+ years of experience in leading or managing engineering teams * Strong programming experience in Python and/or C/C++ * Experience developing automation, simulation, or testing frameworks * Experience with Linux development environments * Familiarity with DevOps methodologies, CI/CD pipel
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