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Remote Hpc System Engineer Jobs in California (NOW HIRING)

Cleanwater1, Inc

Lead Control System Engineer

Ripon, CA · Remote

$98K - $120K/hr

Program, configure, test, and troubleshoot PLC systems using IEC 61131-3 programming languages ... Design, configure, and support remote access and telemetry solutions using Ethernet, industrial ...

Applied Materials

System Engineer V - (E5)

Santa Clara, CA · On-site +1

$176K - $242K/yr

As a Systems Engineer, you'll design, integrate, and optimize complex systems that drive the ... remote and onsite support to field support personnel as required Minimum Qualifications: Bachelor ...

Amat

System Engineer V - (E5)

Santa Clara, CA · On-site +1

$176K - $242K/yr

As a Systems Engineer, you'll design, integrate, and optimize complex systems that drive the ... Provide remote and onsite support to field support personnel as required Minimum Qualifications:

Amat

System Engineer V - (E5)

Santa Clara, CA · On-site +1

$176K - $242K/yr

As a Systems Engineer, you'll design, integrate, and optimize complex systems that drive the ... Provide remote and onsite support to field support personnel as required Minimum Qualifications:

Applied Materials

System Engineer V - (E5)

Santa Clara, CA · On-site +1

$176K - $242K/yr

As a Systems Engineer, you'll design, integrate, and optimize complex systems that drive the ... remote and onsite support to field support personnel as required Minimum Qualifications: Bachelor ...

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Remote Hpc System Engineer information

What is a remote HPC system engineer?

Remote HPC (High Performance Computing) System Engineers are IT professionals who design, implement, manage, and troubleshoot HPC systems and clusters from a remote location. They work with advanced computing infrastructure that supports scientific research, complex simulations, and large-scale data processing. Their responsibilities include configuring hardware and software, monitoring system performance, ensuring security, and providing technical support to users, all while working off-site. This role requires strong expertise in HPC technologies, operating systems like Linux, networking, and scripting, as well as effective communication skills for collaborating with distributed teams.

What are the key skills and qualifications needed to thrive as a remote HPC system engineer?

To thrive as a Remote HPC System Engineer, you need expertise in Linux system administration, parallel computing, networking, and a degree in computer science or related field. Familiarity with job schedulers (like Slurm), cluster management tools, scripting languages (such as Python or Bash), and certifications like CompTIA Linux+ or Red Hat Certified Engineer are highly valuable. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These skills ensure the reliable operation, optimization, and scalability of HPC systems in distributed environments.

What are some common challenges faced by remote HPC system engineers, and how can they be managed effectively?

Remote HPC System Engineers often encounter challenges such as troubleshooting complex hardware or software issues without physical access, ensuring seamless system performance, and coordinating with geographically dispersed teams. These can be managed by leveraging strong remote monitoring tools, maintaining clear documentation, and establishing effective communication channels with on-site staff. Proactively scheduling regular system health checks and participating in virtual team meetings can also help address problems quickly and maintain high system reliability.

What is the difference between Remote Hpc System Engineer vs Remote Cloud Infrastructure Engineer?

AspectRemote Hpc System EngineerRemote Cloud Infrastructure Engineer
CredentialsTypically requires Linux certifications, HPC-specific trainingOften requires cloud platform certifications (AWS, Azure, GCP)
Work EnvironmentHigh-performance computing clusters, research labsCloud platforms, data centers, virtualized environments
Industry UsageResearch, scientific computing, academiaTech, finance, enterprise IT
Search/Comparison IntentUnderstanding HPC-specific roles vs cloud rolesComparing on-premise HPC vs cloud infrastructure

The Remote Hpc System Engineer focuses on managing and optimizing high-performance computing clusters, often in research or scientific environments. In contrast, the Remote Cloud Infrastructure Engineer specializes in designing and maintaining cloud-based infrastructure across various industries. While both roles require technical expertise in system management, their environments and certifications differ, catering to distinct operational needs.

What are the most commonly searched types of Hpc System Engineer jobs in California?

The most popular types of Hpc System Engineer jobs in California are:

What are popular job titles related to Remote Hpc System Engineer jobs in California?

For Remote Hpc System Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Hpc System Engineer jobs in California look for?

The top searched job categories for Remote Hpc System Engineer jobs in California are:

What cities in California are hiring for Remote Hpc System Engineer jobs?

Cities in California with the most Remote Hpc System Engineer job openings:

Remote Hpc System Engineer jobs near you
Infographic showing various Remote Hpc System Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

RISC-V AI / HPC & Agentic Software Engineering Lead

Tenstorrent

Santa Clara, CA • On-site, Remote

$100K - $500K/yr

Full-time

Re-posted 16 days ago

Job description

Tenstorrent is building next-generation RISC-V CPUs optimized for AI, high-performance computing, and emerging autonomous AI systems. As the RISC-V AI / HPC & Agentic Software Engineering Lead, you will operate at the hardware-software boundary, enabling AI, HPC, and agentic AI software stacks on Tenstorrent's RISC-V processors. This role is responsible for integrating and optimizing Tenstorrent's LLK (Low-Level Kernel) infrastructure for CPU execution, while leading the bring-up of a RISC-V-native agentic AI software stack - including runtime orchestration, distributed execution frameworks, memory systems, and developer tools required for goal-driven AI systems. You will work closely with CPU architects, microarchitecture teams, compiler engineers, and AI kernel developers to ensure tight alignment between software capabilities and RISC-V architectural features.

This role is remote, based out of North America.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

  • A systems-oriented software engineer with deep experience in HPC and AI software stacks.
  • Experienced with distributed AI systems, orchestration frameworks, or agentic AI architectures.
  • Comfortable working close to hardware and instruction-level programming.
  • Skilled at translating performance targets into architectural and software requirements.
  • Experienced in runtime systems, profiling, and low-level optimization.
  • Motivated by hardware-software co-design and scaling next-generation AI infrastructure.

What We Need

  • Strong background in HPC and AI software development.
  • Solid understanding of RISC-V architecture (ISA, extensions, micro-architectural implications).
  • Proficiency in C/C++ and systems programming.
  • Experience optimizing performance-critical code paths.
  • Experience with agentic AI frameworks, distributed execution systems, or orchestration platforms.
  • Familiarity with compiler toolchains (LLVM, GCC).
  • Experience with vectorization, custom ISA extensions, or accelerator integration.

What You Will Learn

  • How AI and agentic workloads map to RISC-V microarchitecture.
  • Custom ISA extension design for AI acceleration.
  • End-to-end HPC/AI/agentic stack integration.
  • Runtime orchestration for distributed AI systems.
  • Hardware-software co-design for scalable AI-native CPU platforms.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Apply