Platform Software Engineer (Networking)

Location: Hybrid, with an average of 2 days per week from an HPE office; United States salary band specified for California

Salary: USD 120,500–243,000 annual base salary in California; variable incentives may also be offered.

Company

A global edge-to-cloud technology company developing solutions that connect, protect, analyze, and manage data and applications from edge to cloud.

What you will do

• Design and develop enhancements for networking system software, operating systems, networking components, and security functions.
• Develop network interfaces, protocols, security functions, SoC SDKs, and drivers for high-performance, high-scalability systems.
• Analyze requirements, define coding and integration activities, and contribute to architectural reviews.
• Execute test plans, verification protocols, documentation, debugging, and software improvements.
• Investigate complex field issues through log-driven debugging, system-level analysis, and cross-layer collaboration.
• Collaborate with hardware, QA, system test, and customer-facing teams while supporting existing features and mentoring others.

Requirements

• Master’s or PhD degree in Computer Science, Electrical Engineering, Computer Engineering, or Information Systems.
• 5–8 years of experience in networking, embedded systems, or high-performance security platforms.
• Strong programming skills in C/C++ and Python.
• Experience with switches, routers, security systems, multi-core embedded platforms, network interfaces, and protocol handling.
• Strong understanding of operating system internals, virtualization, computer architecture, system-level debugging, and Unix/Linux environments.
• Strong written and verbal communication skills, with the ability to present designs, negotiate decisions, collaborate, and mentor.

Nice to have

• Experience with Link Layer protocols such as LACP, LLDP, or EAPOL.
• Experience with Broadcom or Marvell SDKs for switching or network-interface subsystems.
• Experience with AI coding assistants such as Copilot and intelligent debugging.
• Knowledge of AI/ML techniques for predicting potential software or hardware errors.

Culture & Benefits

• Hybrid work model with flexibility to manage professional and personal needs.
• Health, financial, and emotional wellbeing benefits for employees and their loved ones.
• Personal and professional development programs supporting technical expertise and career growth.
• Inclusive workplace committed to accessibility and equal employment opportunity.