Sr. Software Engineer

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Date:
Oct 31, 2025

Location:
San Jose, California, United States

Company:
Super Micro Computer

Job Req ID: 26456
About Supermicro
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.

Job Summary
Super Micro Computer, Inc., one of the fastest growing IT companies in the world is looking for an innovative leader to fill a Sr. Engineer, software position. As a critical member of our system department, you will be responsible for AI/ML infrastructure software (such as NVAIE, Nvidia Inferencing Microservices, etc.), based out of our headquarters located in San Jose, CA.

Essential Duties And Responsibilities
Includes the following essential duties and responsibilities (other duties may also be assigned):

• Develop, test, and deploy LLM applications using Nvidia AI/ML software infrastructure and frameworks
• Optimize and fine-tune LLM models for enhanced performance, efficiency, and accuracy
• Provide timely, accurate, and quality work product
• Collaborate with cross-functional teams to deliver user-friendly and innovative solutions
• Develop the technology and create the solution to solve the defined problem
• Successfully meet deadlines, expectations, and perform work duties as required
• Manage multiple tasks simultaneously in a fast-paced environment
• Perform all other duties, tasks or projects as assigned

Qualifications

• MS or BS in Computer Science, Computer Engineering, or equivalent experience in AI/LLM, deep learning and related software technologies preferred
• Expertise in Nvidia AI/LLM software stack, such as NVAIE, NIM, CUDA toolkit, GPU driver, Nvidia Container Toolkit, Docker Engine, Nvidia System Management (NVSM), Data Center GPU Management (DCGM), etc.
• Experience and demonstrable knowledge of AI/LLM, and familiarity with common frameworks and methodologies utilized in building LLM applications
• Proficiency in Python
• Proven expertise in LLM training, development, and fine-tuning
• Ability to work in a highly interactive, cross-functional collaborative environment
• Ability to quickly learn new technologies, frameworks, and algorithms
• Strong analytical, problem-solving, and communication skills
• Self-driven, collaborative, and committed to delivering high-quality work

Please note that this position requires regular in-office attendance. The successful candidate is expected to be present in the office during standard working hours as determined by the company. In-office collaboration and participation in team meetings, training sessions, and other on-site activities are essential aspects of this role. Candidates should consider the commuting distance and be prepared to fulfill their responsibilities in the designated office location.

Salary Range
$165,000 - $188,000

The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs.

EEO Statement
Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.

Job Segment:
Application Engineering, Cloud, Test Engineer, Testing, Embedded, Engineering, Technology

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