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.