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Remote High Performance Computing Jobs in California

VAST Data

Customer Support Engineer

San Jose, CA · On-site +1

... high-performance computing at customer sites and in the lab. You will work directly with customers, and various business functions: consulting pre-sales teams on technical sales activities ...

VAST Data

Customer Support Engineer

San Francisco, CA · On-site +1

... high-performance computing at customer sites and in the lab. You will work directly with customers, and various business functions: consulting pre-sales teams on technical sales activities ...

Biohub

Staff HPC Engineer

San Francisco, CA · On-site +1

This role will help shape strategy, architecture, and operations for high-performance computing ... remote dev, containerization, MLOps workflows). What You'll Bring Essential * Bachelor's or ...

Mat3ra

Cloud HPC Engineer

Walnut Creek, CA · On-site +1

$130K - $200K/yr

Work will focus on (1) building a cloud-based high-performance computing platform for nanoscale materials and chemistry, (2) planning and organizing the work of the engineering team, (3) establishing ...

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Remote High Performance Computing information

What are the key skills and qualifications needed to thrive as a Remote High Performance Computing (HPC) Specialist, and why are they important?

To thrive as a Remote High Performance Computing (HPC) Specialist, you need expertise in parallel computing, cluster management, and strong programming skills in languages such as Python, C/C++, or Fortran, often backed by a degree in computer science or a related field. Familiarity with HPC job schedulers (like SLURM or PBS), cloud platforms, and Linux-based systems, as well as relevant certifications, is highly valuable. Strong problem-solving abilities, effective communication, and the capacity to work independently are crucial soft skills in remote environments. These competencies ensure efficient deployment, management, and troubleshooting of complex HPC resources while supporting diverse user needs from a distance.

How does a Remote High Performance Computing (HPC) professional typically collaborate with research teams and IT staff?

Remote HPC professionals often work closely with research scientists, data analysts, and IT administrators to ensure computational resources are efficiently allocated and optimized for large-scale projects. Collaboration usually happens through virtual meetings, ticketing systems, and shared documentation platforms, requiring strong communication and problem-solving skills. Daily tasks may involve troubleshooting user issues, managing job scheduling, and maintaining cluster performance, all while coordinating with geographically dispersed teams. This dynamic environment fosters continuous learning and exposure to cutting-edge scientific and technical applications.

What is Remote High Performance Computing?

Remote High Performance Computing (HPC) refers to the use of powerful computing resources and clusters that are accessed over the internet or a network, rather than being located locally. This setup allows researchers, engineers, and organizations to perform complex computations, simulations, and data analysis from anywhere, without the need for on-site supercomputers. Remote HPC enables scalability, flexibility, and cost-effectiveness by allowing users to leverage shared resources, often provided by cloud service providers or specialized data centers.

What is the difference between Remote High Performance Computing vs Remote Data Scientist?

AspectRemote High Performance ComputingRemote Data Scientist
Required CredentialsAdvanced degrees in Computer Science, Engineering, or related fields; experience with HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; proficiency in programming languages
Work EnvironmentAccess to supercomputers, clusters, or cloud HPC resources; collaborative teamsData analysis environments, cloud platforms, and programming tools; often collaborative
Industry UsageResearch institutions, scientific computing, engineering simulationsTech companies, finance, healthcare, research

Remote High Performance Computing specialists focus on managing and utilizing supercomputing resources for complex simulations and data processing. Remote Data Scientists analyze large datasets to extract insights. While both roles require programming skills and advanced degrees, HPC roles emphasize system management and computational efficiency, whereas Data Scientists focus on data analysis and modeling.

What are the most commonly searched types of High Performance Computing jobs in California? The most popular types of High Performance Computing jobs in California are:
What are popular job titles related to Remote High Performance Computing jobs in California? For Remote High Performance Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote High Performance Computing jobs in California look for? The top searched job categories for Remote High Performance Computing jobs in California are:
What cities in California are hiring for Remote High Performance Computing jobs? Cities in California with the most Remote High Performance Computing job openings:
Remote High Performance Computing jobs near you
Strategic Technical Account Manager, AI/ML

Strategic Technical Account Manager, AI/ML

DigitalOcean

San Francisco, CA • Remote

$174.24K - $217.80K/yr

Other

Posted 23 days ago

Job description

We are looking for a Strategic Technical Account Manager who is passionate about making an impact, builds genuine relationships with senior stakeholders, and understands how to integrate infrastructure choices into business strategy.

As a Strategic Technical Account Manager (TAM) at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. 

What You'll Do:

Strategic Relationship Management

  • Own the technical relationship with DigitalOcean's highest-value customers, including Fortune 500 companies and global technology leaders.
  • Serve as the trusted technical advisor and executive-facing point of contact, building deep, lasting relationships with VP- and SVP-level stakeholders.
  • Drive regular technical and strategic alignment sessions (QBRs, EBRs), proactively shaping the customer's roadmap to maximize the value of DigitalOcean infrastructure.
  • Operate as a thought partner, challenging customers to modernize, optimize, and scale AI/ML and GPU workloads using cutting-edge cloud architecture patterns.

Executive Presence & Influence

  • Engage with C-level and VP-level contacts with confidence, clarity, and authority.
  • Deliver high-impact, boardroom-ready presentations on architecture decisions, cost-performance tradeoffs, and innovation opportunities.
  • Navigate complex org structures, ensuring DigitalOcean maintains executive alignment and account control at every level.

Technical Consultation & Innovation Support

  • Provide expert guidance on designing and scaling AI/ML, containerized, and GPU-intensive workloads on DigitalOcean.
  • Assist customers with architectural planning, workload migration, performance tuning, and incident response.
  • Collaborate directly with engineering and product teams to address customer roadblocks and influence the product roadmap based on enterprise needs.

Growth, Retention & Advocacy

  • Own technical success across a portfolio of DigitalOcean's largest and most strategic accounts.
  • Identify opportunities for workload expansion, cost optimization, and operational efficiency.
  • Act as the voice of the customer, providing structured feedback to influence DigitalOcean's offerings and go-to-market strategies.
    Lead cross-functional account planning with Account Management, Product, and Engineering.
What You'll Add to DigitalOcean:

Enterprise Customer Experience

  • 7+ years supporting enterprise or strategic accounts in a customer-facing technical role (TAM, Solutions Architect, or equivalent).
  • Experience working with large-scale organizations like AMD, Intel, or similar, including managing executive-level relationships and navigating matrixed stakeholders.
  • Deep understanding of cloud architecture for AI/ML, including GPU orchestration, inference/training pipelines, and model deployment.

Technical Depth

  • Proficient in at least one major cloud platform (AWS, GCP, Azure) and familiar with DigitalOcean or other developer-focused platforms.
  • Strong hands-on skills with Linux systems, networking, containers (Docker/Kubernetes), and automation (Terraform, Ansible).
    Programming/scripting in Python, Go, or similar-especially relevant to AI/ML and MLOps use cases.
  • Understanding of AI/ML infrastructure stacks: PyTorch, TensorFlow, ONNX, Hugging Face, NVIDIA Triton, etc.
  • Understanding of AI/ML infrastructure, including frameworks like PyTorch, TensorFlow, and ONNX, with hands-on experience optimizing GPU workloads on both NVIDIA (CUDA, TensorRT) and AMD (ROCm, MIOpen) platforms.
  • Comfort with modern DevOps and data stack tools (CI/CD, GitOps, observability, pipelines).

Executive Presence & Communication

  • Proven ability to engage with and influence executive decision-makers.
  • Exceptional communication skills, including the ability to translate complex technical topics into strategic business impact.
  • Comfortable presenting to large audiences, running technical workshops, and defending architectural decisions.
Bonus Points
  • Cloud certifications (AWS SA Pro, GCP PCA, Azure Architect) or NVIDIA certifications.
  • Experience with high-performance computing, edge AI, or hybrid/multicloud strategies.
  • Background in startup or high-growth environments where agility and influence matter.
  • Familiarity with DigitalOcean's developer ecosystem, API, and service portfolio.
Compensation Range: 
  • $174,240 - $217,800

*This is a remote role

#LI-Remote

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