Job Title
Principal Network Simulation Engineer - VLSI
Role Summary
Develop and maintain high-fidelity simulation models and tooling to evaluate network and system architectures. Provide performance, scalability and fault-tolerance analysis to inform NIC, switch and ASIC architecture decisions. Collaborate with network architects, ASIC designers and software engineers.
Experience Level
Senior β typically 10+ years of relevant experience in network simulation, system architecture, or ASIC/VLSI engineering.
Responsibilities
Key responsibilities include:
- Develop and validate simulation models for NICs, switches, and system-level architectures.
- Design and run realistic network scenarios and simulation motifs.
- Create tools for performance analysis and visualization.
- Evaluate performance, scalability, and fault tolerance of proposed architectures.
- Apply software engineering best practices to ensure reliable and efficient simulation outcomes.
- Collaborate closely with network architects, ASIC designers, and software engineers.
Requirements
Must-have technical skills and experience:
- Strong understanding of network architecture and system-level design.
- Proficiency in C++ for simulation modeling and Python for analysis and tooling.
- Experience analyzing architectural trade-offs and optimization strategies.
- Experience building performance analysis or visualization tools.
- Proven ability to work effectively in cross-functional teams.
- Preferred: experience with NICs, switches, ASIC/SoC design, or VLSI simulation environments.
Education Requirements
Bachelor's, Master's, or PhD in Electrical Engineering, Computer Engineering, Computer Science or a related technical field; or equivalent practical experience.
About the Company
Company: Hewlett Packard Enterprise
Headquarters: Spring, TX, United States
Global enterprise technology company delivering hybrid cloud, edge-to-cloud platforms, servers, storage, networking, and IT services to help organizations build, run, and secure applications and infrastructure at scale.

Date Posted: 2026-07-07