AI Performance Engineer

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If this job matches your qualifications, please send your application directly through our latest Job site. Indeed, every job is not easy to apply because it must meet several qualifications and requirements that we must meet in accordance with the standard criteria of the Company who are looking for potential candidates to work. Good job information AI Performance Engineer below matches your qualifications.

The application window is expected to close on: Aug 31, 2025

NOTE: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. 

Meet the Team  

The Cisco UCS Performance team optimizes and benchmarks the performance of UCS products including AI servers and X-series & C-series servers. Join us as a highly motivated and driven Technical Marketing Engineer to define, validate, and drive compute & AI performance on UCS. 

Your Impact  

The Cisco UCS Compute BU is looking for a Technical Marketing Engineer (TME) for Compute platform performance with specific expertise in AI server performance, liquid cooling platform testing and industry standard AI benchmarking like MLPerf Inferencing & Training. The right candidate will have extensive hands-on experience in performance testing with these platforms (NVIDIA DGX/HGX platforms) with specific knowledge of liquid cooling technology. This is an onsite role at Sanjose. 

Role also includes the following: 

• Conduct performance tests on UCS AI platforms. 

• Use industry-standard benchmarking tools (e.g., MLPerf, GenAI perf) to evaluate system performance. 

• In-depth analysis and evaluation of AI Servers with Liquid cooling technologies. 

• Provide technical guidance to improve UCS performance specific to liquid cooling environments.

• Build performance benchmarks, analyze results, and develop technical marketing materials (white papers, standard process guides, presentations). 

• Solve Cisco UCS AI server related performance issues. 

• Collaborate with engineering, product management, and sales teams to ensure industry-leading UCS performance on AI servers. 

• Support Cisco Technical support for performance debugging and optimizations. 

• Must be a self-starter and a teammate. 

• Ability to set and meet timelines. 

Minimum Qualifications 

• Bachelor's or master's degree with 7+ years' experience in Hardware Engineering, Performance Engineering or similar engineering roles. 

• Experience with Performance Evaluation of AI platforms using various profiling and benchmarking tools, including but not limited to analyzing computational efficiency, latency, throughput, and resource utilization. 

• 2+ years of experience with multiple GPU technology/architectures such as NVIDIA HGX/DGX & AMD instinct accelerators. 

• 4+ years of experience working with Liquid cooling technologies such as Direct to chip, Immersion cooling. 

• Experience working with cluster scale testing on AI infrastructure or optimizing UCS compute & AI infrastructure to support high-performance AI/ML training and inference.

 Preferred Qualifications 

• Understanding of high-performance computing AI workloads, and other AI infrastructure components. 

• Collaborate with hardware and software teams to optimize system configurations for AI platform performance. 

• Familiarity with deep learning frameworks (TensorFlow, PyTorch, etc.) and performance optimization.

• Machine Learning/AI Knowledge: Understanding of machine learning models, neural networks, and deep learning architectures.

• Identify performance bottlenecks and implement optimizations to improve training & inference models, reduce latency, and optimize resource usage. 

• Strong analytical and problem-solving skills with the ability to diagnose and address performance issues in complex systems 

• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. 

Why Cisco

At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Simply put - we power the future.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with

empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada:

When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees have access to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.

Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter.  Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:

.75% of incentive target for each 1% of revenue attainment up to 50% of quota;

1.5% of incentive target for each 1% of attainment between 50% and 75%;

1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

How to Submit an Application:

After reading and knowing the criteria and minimum requirements for qualifications that have been explained from the AI Performance Engineer job info - Cisco San Jose, CA above, thus jobseekers who feel they have not met the requirements including education, age, etc. and really feel interested in the latest job vacancies AI Performance Engineer job info - Cisco San Jose, CA in 2025-07-31 above, should as soon as possible complete and compile a job application file such as a job application letter, CV or curriculum vitae, FC diploma and transcripts and other supplements as described above, in order to register and take part in the admission selection for new employees in the company referred to, sent via form this bottom.