Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products.
- 5 years or experience with embedded systems or networking.
- Experience in People management.
Preferred qualifications:- Master's degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Experience with kernel drivers, networking protocols, C , firmware.
About the jobThe US base salary range for this full-time position is $207,000-$300,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities - Drive the technical strategy for the high-performance network data path, ensuring architectural integrity across all components and collaborating with specialized infrastructure and platform engineering teams on technologies such as RDMA, proprietary high-speed communication frameworks, and network security offload features.
- Establish and enforce end-to-end performance and reliability standards for the core networking stack.
- Work with cross-functional engineering partners to ensure seamless integration and operational harmony among critical pipeline components.
- Lead and coordinate technical efforts across teams to troubleshoot and resolve the most high-impact issues affecting the network's data path operation.
- Build, lead, and mentor a high-performing engineering team focused on holistic system analysis, cross-component debugging, and fostering effective collaboration across organizational boundaries.
