Software Engineer, AI Engineer, Cloud Engineer - Software

Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community.

We seek talented, passionate, and committed engineers, technologists, and business leaders to join us.

Supermicro is seeking an experienced and exceptional Software Engineer, you will develop and optimize software solutions for cluster management, benchmark automation and quality control, ensuring our product with both high performance and reliability. Your role will involve designing and implementing both frontend and backend systems, maintaining team website and code base.

You will work closely with engineering teams to understand scope of AI/HPC benchmarks and build efficient, user-friendly software solutions. This includes developing web-based interfaces, APIs, and backend services while also running performance benchmarks on AI/HPC applications to identify bottlenecks and optimize resource utilization.

As part of a high-impact engineering team, you will contribute to full-stack development, performance tuning, and troubleshooting, ensuring that software solutions meet the demands of large-scale computing environments. Exceptional Application Software Engineer to work on web-based applications for business process automation. This is a key role that will give you the opportunity to expand your existing knowledge in programming.

Includes the following essential duties and responsibilities (other duties may also be assigned):

• Develop and optimize software for AI/HPC benchmark automation, ensuring high performance, scalability, and user-friendly

• Design and implement full-stack applications, including frontend (UI/UX) and backend (APIs, databases, and services) for system management and monitoring

• Run and analyze benchmarks for AI/HPC applications, identifying performance bottlenecks and implementing optimizations

• Develop and maintain automation scripts for deployment, monitoring, and benchmarking processes

• Write clean, maintainable, and well-documented code, following best practices in software engineering

• Integrate software solutions with AI/HPC clusters, ensuring seamless communication between different system components

• Work with databases and distributed systems to manage large-scale data efficiently

• Cluster network deployment and debugging

• Stay up to date with emerging technologies in AI/HPC and software development to continuously improve solutions

• Collaborate with engineering teams and customers to define requirements, troubleshoot issues, and enhance system performance

• Participate in on-site deployments and customer support, ensuring smooth software integration and troubleshooting performance issues as needed

• BS or higher in Computer Science, Software Engineering, or a related technical field

• 5+ years of experience in software development, with a focus on backend, frontend, and system performance optimization

• Familiar with TCP/IP protocol stack, UDP, IPv4-IPv6, DNS, DHCP and other Application protocols.

• Proficiency in at least two of Python/Shell/Java/C++ for backend development and automation

• Strong knowledge of JavaScript, HTML, and web design for building responsive and user-friendly interfaces

• Experience with RESTful APIs development and integration

• Familiarity with BMC, OpenBMC and Redfish API for system management and monitoring

• Experience working with databases (SQL or No

SQL) for data storage and retrieval

• Hands-on experience with Docker for containerized applications

• Exposure to Kubernetes for container orchestration is a plus

• Strong problem-solving skills with the ability to analyze benchmarking results and optimize software performance

• Experience with HPC/AI cluster environments, parallel computing and system-level software…