DevJobs

Manager, Network Simulation and Infrastructure

Overview
Skills
  • C++ C++
  • Linux Linux
  • Docker Docker
  • Kubernetes Kubernetes
  • Ansible Ansible
  • Concurrent programming
  • Slurm
  • System-level programming
  • Congestion Control
  • CUDA
  • Ethernet
  • InfiniBand
  • MPI
  • NS-3
  • OMNeT++
  • TCP/IP
NVIDIA is searching for a strong technical leader to own the backbone of our Networking Research capabilities. We are looking for an Engineering Manager to lead the development of our high-fidelity Network Simulation platform and the extensive on-premise infrastructure that powers it.

In this role, you will lead a team of performance simulation software engineers and DevOps/Infrastructure specialists. You will own the "Simulation-as-a-Service" product-a critical platform used by internal researchers to model next-generation data center architectures. Your mission is to ensure our simulations are accurate, performant, and accessible, while managing the large-scale compute clusters required to run them.

What You'll Be Doing

  • Team Leadership: Manage and mentor a team of C++ software engineers and DevOps infrastructure engineers, fostering a culture of performance, reliability, and code quality.
  • Product Ownership (Sim-as-a-Service): Treat the internal simulation platform as a product. Work with research partners to define the roadmap, prioritize features, and ensure high availability for users.
  • High-Performance Simulation: Be responsible for the architecture and optimization of complex network simulation engines (C++ based), ensuring they can scale to model extensive data center topologies with high fidelity.
  • Infrastructure Management: Own the lifecycle of our on-premise compute clusters and servers. Drive decisions on hardware upgrades, prioritisation, and managing system resources.
  • DevOps & Automation: Lead the strategy for CI/CD pipelines, automated testing, and containerized deployments to ensure rapid iteration and stability of the simulation platform.
  • multi-functional Collaboration: Partner with the AI Agents team to expose simulation APIs, enabling agents to run experiments and gather data autonomously.

What We Need To See

  • MSc, Ph.D. or equivalent experience in Computer Science, Electrical Engineering, or a related field.
  • 8+ years of hands-on software engineering experience, with a proven track record of leading technical teams in systems or infrastructure domains for 3+ years.
  • 3+ years of managerial experience.
  • C++ Expertise: Strong background in C++ development for high-performance applications (System-level programming, concurrent programming).
  • Infrastructure & DevOps: Practical experience managing on-premise servers, Linux environments, and modern DevOps tools (Kubernetes, Slurm, Docker, Ansible).
  • Operational Rigor: Ability to manage "heavy" operations-ensuring uptime, monitoring system health, and optimizing hardware utilization.

Ways To Stand Out From The Crowd

  • Networking Knowledge: Deep understanding of computer networking fundamentals (TCP/IP, Ethernet, InfiniBand, Congestion Control) and data center architectures.
  • Simulation/Modeling: Experience with discrete event simulation (DES) or modeling complex systems.
  • HPC Background: Experience working with MPI, CUDA, or other High-Performance Computing frameworks.
  • Specific Simulators: Familiarity with standard network simulators like OMNeT++, NS-3, or similar proprietary tools.
  • Hardware Knowledge: Understanding of switch micro-architecture or NIC design is a significant plus.

NVIDIA is home to some of the most innovative and dedicated professionals in the industry. We are committed to fostering a diverse work environment and are proud to be an equal-opportunity employer.

JR2010549

Nvidia