Pod Software Engineer

As a Pod Software Engineer at Sohu, you will be responsible for designing and implementing RDMA based networking peering that enhances high bandwidth, low latency communications across PCIe nodes. Your role will involve developing tests to qualify various network interfaces and integrating real-world workloads to ensure optimal device performance. You will also focus on telemetry design to maintain system health under extreme workloads, while collaborating with teams to enhance RDMA performance and identify software issues.

To qualify for the Pod Software Engineer position at Sohu, you'll need proficiency in C/C++ and a scripting language like Python or Bash. A strong understanding of device-to-device networking technologies like RDMA and experience with zero-copy networking are essential. Familiarity with operating systems, particularly Linux, and the ability to analyze complex technical issues will also be crucial. Additionally, excellent communication skills and a collaborative mindset are key to thriving in this role.

At Sohu, Pod Software Engineers work on exciting projects such as analyzing network performance, optimizing configurations for low-latency workloads, and designing automated qualification tests for RDMA NICs. You'll also get to modify kernel drivers to maximize direct memory access, and benchmark inter-node RDMA latency to enhance inference job scaling. Collaborating with vendors to validate new networking features will also be part of your rewarding work environment.

Joining Sohu as a Pod Software Engineer comes with a competitive benefits package, including full coverage of medical, dental, and vision insurance premiums. There’s also a generous housing subsidy for those living nearby, free meals at the office, and support for relocation if you're moving to West San Jose. Additionally, you'll be part of a collaborative environment that encourages personal and professional growth.

At Sohu, we encourage continuous learning and professional development for our Pod Software Engineers. With a focus on the integration of engineering and research, our team is empowered to explore innovative ideas and stay ahead in the AI field. As an employee, you’ll have access to projects that push your boundaries and enhance your skills while collaborating with industry experts, allowing for robust career growth.

When answering this question, highlight your practical experience with RDMA, detailing specific projects where you implemented peer-to-peer networking or optimized performance using RDMA technologies. Discuss the challenges you faced, how you overcame them, and the measurable outcomes of your contributions.

For this question, demonstrate your analytical approach by discussing tools and techniques you use for diagnosing network problems. Include examples from past experiences where you successfully identified the root cause of an issue and implemented a solution.

Explain your approach to maintaining and enhancing the performance of networking solutions. Share how you utilize benchmarking tools and performance metrics to evaluate efficiency and any methodologies you apply to optimize system performance under different workloads.

Share your familiarity with Linux operating systems, highlighting any specific tools, commands, or systems you have administered. Discuss how your knowledge of Linux has aided your networking projects, and provide examples of kernel modifications or network configurations you've accomplished.

Detail a specific instance where you encountered a significant challenge in your work. Explain the problem, the steps you took to address it, and the tools you used. Lay out the lessons learned and how this experience has prepared you for the Pod Software Engineer role at Sohu.

Discuss the frameworks, tools, and methodologies you utilize in performance testing. Describe your process for designing tests, analyzing results, and making necessary adjustments to ensure optimal system performance under peak loads.

Explain how you establish key performance indicators (KPIs) for networking projects. Discuss specific metrics you've found to be valuable and how they guided your decision-making processes throughout past projects.

Emphasize your communication and teamwork skills. Share experiences where collaboration with kernel, platform, or telemetry teams was essential for project success, illustrating how you fostered a cooperative environment and aligned diverse viewpoints toward a common goal.

List the scripting languages you're familiar with, such as Python or Bash, and provide examples of how you've used them for automating tasks, generating tests, or processing data within your previous roles.

Discuss your experience using Git for version control, including how you've utilized branching, merging, and managing repositories. Share examples of projects where Git played a vital role in collaboration and code management.