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Hpc Systems Engineer Jobs in California (NOW HIRING)

AI/HPC System Engineer Office Location: San Jose, CA Job Type: Full-Time Work Model: Onsite Job ... Stay up-to-date with industry trends and emerging technologies in AI, memory systems, and system ...

Provide technical leadership and mentoring to engineering teams, fostering best practices in HPC ... Exceptional skills in system architecture, design documentation, and technical specifications.

Provide technical leadership and mentoring to engineering teams, fostering best practices in HPC ... Exceptional skills in system architecture, design documentation, and technical specifications.

Provide technical leadership and mentoring to engineering teams, fostering best practices in HPC ... Exceptional skills in system architecture, design documentation, and technical specifications.

Provide technical leadership and mentoring to engineering teams, fostering best practices in HPC ... Exceptional skills in system architecture, design documentation, and technical specifications.

AI/HPC System Engineer

San Jose, CA · On-site

$175K - $230K/yr

AI/HPC System Engineer Office Location: San Jose, CA Job Type: Full-Time Work Model: Onsite Job ... Knowledge of operating systems, device drivers, and system programming. * Good working knowledge or ...

Zealogics Inc is seeking an HPC Engineer ... The primary responsibilities include maintaining and configuring HPC systems, troubleshooting ...

As an AI/HPC System Performance Engineer on the Network Infrastructure Engineering team, you will ... Experience designing and implementing performance monitoring systems, including instrumentation ...

AI/HPC System Architect

San Jose, CA · On-site

$284K/yr

This involves leveraging advanced memory to create efficient and high-performance systems. Drawing ... Ph.D in Electrical and Computer Engineering, or related field with 15+ years of experience in ...

Sr. Software Engineer

Milpitas, CA · On-site

$139K - $184K/yr

Responsibilities : • Object Oriented Design & Programing in C/C++ • SW design patterns • Distributed & HPC Systems • Multi-threaded and multi-process SW development • Linux System ...

... HPC systems deliver maximum throughput and efficiency for frontier model development ... Flexible to learn new programming languages • Experience profiling and optimizing distributed AI ...

The AI/HPC System Engineer will design, develop, and optimize next-generation memory solutions and ... memory systems. • Design and develop next-generation memory solution prototype and system ...

Showing results 21-40

Hpc Systems Engineer information

What is an HPC systems engineer?

HPC Systems Engineers are professionals who design, deploy, manage, and optimize high-performance computing (HPC) systems. These systems are used for complex computational tasks in fields such as scientific research, engineering, and data analytics. HPC Systems Engineers ensure that computing clusters, storage solutions, and networking components run efficiently, securely, and reliably. They also support users, troubleshoot issues, and often work with specialized software, hardware, and parallel processing technologies.

What are the key skills and qualifications needed to thrive as an HPC systems engineer?

To thrive as an HPC Systems Engineer, you need a solid background in computer science, Linux/Unix system administration, and parallel computing concepts, often supported by a relevant degree. Experience with HPC cluster management tools, workload schedulers (like Slurm or PBS), and programming languages such as Python or C/C++ is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate technical concepts clearly are essential soft skills. These qualifications ensure efficient deployment, maintenance, and optimization of high-performance computing infrastructure critical for research and enterprise workloads.

What are some common challenges an HPC systems engineer faces when supporting large-scale computing clusters?

HPC Systems Engineers often encounter challenges such as managing the complexity of cluster architectures, ensuring optimal performance, and troubleshooting hardware or software issues in high-demand environments. They must also coordinate downtime for maintenance without disrupting critical computations and stay updated on rapidly evolving HPC technologies. Strong collaboration with researchers, IT staff, and vendors is essential to address user needs and implement effective solutions.

What is the difference between Hpc Systems Engineer vs Hpc Network Engineer?

AspectHpc Systems EngineerHpc Network Engineer
CredentialsTypically requires a degree in computer science, engineering, or related field; certifications like Cisco CCNA or Linux certifications are commonSimilar credentials; often holds networking certifications such as Cisco CCNP or CompTIA Network+
Work EnvironmentWorks on high-performance computing systems, hardware, and software integration in research or enterprise data centersFocuses on designing, implementing, and maintaining HPC network infrastructure within data centers or research facilities
Industry UsageUsed in scientific research, academia, and enterprise sectors with HPC needsCommon in data centers, research institutions, and organizations requiring advanced network performance

Hpc Systems Engineers and Hpc Network Engineers share overlapping skills in hardware, software, and certifications. However, Hpc Systems Engineers focus on overall system setup and management, while Hpc Network Engineers specialize in network infrastructure. Both roles are vital in supporting high-performance computing environments.

What cities in California are hiring for Hpc Systems Engineer jobs?

Cities in California with the most Hpc Systems Engineer job openings:

Infographic showing various Hpc Systems Engineer job openings in California as of August 2026, with employment types broken down into 80% Full Time, 14% Part Time, 5% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

AI/HPC System Engineer

San Jose, CA • On-site

SK hynix America
Semiconductor and Electronic Component Manufacturing • 201 - 500 employees

Full-time

Medical, Retirement, PTO

Re-posted 2 days ago


Job description

Job Title: AI/HPC System Engineer

Office Location: San Jose, CA

Job Type: Full-Time

Work Model: Onsite

Job Summary:

  • This role will be responsible for assuring SK hynix emerging technology leadership to be maintained and leading the next generation of memory-centric architecture using your expertise in computer system and SW technologies including open source tools to demonstrate benefits and use cases.
  • AI/HPC System engineer will be responsible for designing, developing, and optimizing next-generation memory solutions and system software for energy-efficient AI computing platform.
  • AI/HPC System engineer will work closely with our hardware and software teams to ensure seamless integration and optimal performance of our next-generation AI memory solutions

Responsibilities:

  • Individual technical contributor within the research team focused on next generation storage/memory systems.
  • Design and develop next-generation memory solution prototype and system software for energy-efficient AI/ML computing infrastructure, including memory management, cache hierarchy, and data transfer protocols.
  • Collaborate with hardware architects to ensure optimal HW/SW co-design and integration.
  • Develop and maintain system software frameworks and APIs for AI system infrastructure.
  • Optimize system software for performance, power efficiency, and scalability.
  • Develop and maintain documentation, technical specifications, and test plans for system software.
  • Participate in technical discussions and provide input on system software design and architecture with industry ecosystem partners
  • Stay up-to-date with industry trends and emerging technologies in AI, memory systems, and system software.
  • Verbal/written communication with both internal and external collaborator

Qualifications:   

  •  Ph.D. in Computer Science/Electrical Engineering or 6+ years of experience in system software development, with a focus on memory system architecture and AI infrastructure.
  • Strong understanding of computer architecture, memory systems, and system software design.
  • Experience and familiarity with Python/C/C++ programming languages
  • Knowledge of operating systems, device drivers, and system programming.
  • Good working knowledge or experience in GPU architecture and CUDA programming
  • Excellent problem-solving skills, with the ability to debug complex system software issues.
  • Strong communication and collaboration skills, with the ability to work with cross-functional teams.

Benefits:       

  • Top Tier health insurance at no employee cost
  • Paid day offs: Paid Time Off, Company Holidays, Parental Leave, Happy Fridays
  • 401k Matching
  • Flexible Spending Account (FSA) for Health Care & Dependent Care
  • Educational reimbursement up to $10,000 per year
  • Donation Matching and volunteering opportunities
  • Corporate discount programs
  • Free Breakfast/Lunch/Dinner provided to employees

SK Hynix America logo

About SK Hynix America

Sourced by ZipRecruiter

Industry

Semiconductor and electronic component manufacturing

Company size

201 - 500 Employees

Headquarters location

San Jose, CA, US

Year founded

1983