HPC Systems Engineer at Dawar Consulting, Inc.
Milpitas, California, United States -
Full Time


Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

High Performance Computing, Server Design, Cluster Hardware Design, Linux System Administration, System-Level Performance Tuning, Hardware-Software Interaction, Documentation, Collaboration

Industry

Staffing and Recruiting

Description
Our client, a world leader in semiconductor manufacturing, is looking for a “HPC Systems Engineer” based out of Milpitas, CA. Job Duration: Long Term Contract (Possibility Of Extension) Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K We are seeking a High Performance Computing Systems Engineer to design and optimize server-class compute clusters for high-performance systems. This role focuses on selecting and validating hardware components, ensuring seamless system integration, and supporting performance and diagnostic workflows. Key Responsibilities Design and configure compute clusters for performance, reliability, and scalability. Select and validate CPUs, memory, storage, networking, and accelerator hardware (e.g., GPUs). Collaborate with hardware, software, and systems teams to ensure smooth integration. Document hardware designs, integration steps, and diagnostic processes. Participate in design reviews and cross-functional problem-solving sessions. Qualifications Bachelors'/Masters' Degree in Computer Science, Engineering or related field. 7+ years of experience in server or cluster hardware design. Familiarity with Linux system administration (SUSE preferred). High Performance Computing/distributed computing systems/clusters Understanding of system-level performance tuning and hardware–software interaction. Excellent communication and documentation skills. If interested, please send us your updated resume at hr@dawarconsulting.com/akansha@dawarconsulting.com
Responsibilities
Design and configure compute clusters for performance, reliability, and scalability. Collaborate with hardware, software, and systems teams to ensure smooth integration.
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