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Remote High Performance Computing Jobs in California

Veeco

Category Manager (Spector) (19891)

San Jose, CA · On-site +1

... high-performance computing markets. As our business scales globally, so does the complexity and ... Remote work within the U.S. may be considered for exceptional candidates. Responsibilities ...

Advantech USA

Vertical Key Account Manager

Irvine, CA · On-site +1

$90K - $140K/yr

Remote- (West Coast preferred) Compensation: $90,000 with up to $140,000 OTE About this position ... quality, high-performance computing platforms. We work closely with our partners to deliver ...

Together AI

Solutions Architect

San Francisco, CA · On-site +1

$180/hr

... high-performance computing (HPC) environments. * Strong understanding of training, fine-tuning and ... of remote work. The US salary range for this full-time position is: $180-260K OTE + equity ...

Nvidia

Senior Software Engineer - Topography

Santa Clara, CA · Remote

$143K - $189K/yr

... High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex ... If you're a creative, curious, and driven technical leader, we want to hear from you! #LI-Remote ...

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Remote High Performance Computing information

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 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.

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.

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 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
Customer Support Engineer (GPU Cluster)

Customer Support Engineer (GPU Cluster)

Together AI

San Francisco, CA • On-site, Remote

$160K/yr

Other

Medical

Re-posted 8 days ago

Job description

About the role

As a Customer Support Engineer at a pioneering AI company, you'll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You'll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment.

Responsibilities
  • Engage directly with customers to tackle and resolve complex technical challenges involving our cutting-edge Kubernetes GPU clusters; ensure swift and effective solutions every time.
  • Become a product expert in our GPU Cluster service, serving as the last line of technical defense before issues are escalated to Engineering and Product teams.
  • Collaborate seamlessly across Engineering, Research, and Product teams to address customer concerns; collaborate with senior leaders both internally and externally to ensure the highest levels of customer satisfaction.
  • Transform customer insights into action by identifying patterns in support cases and working with Engineering and Go-To-Market teams to drive Together's roadmap (e.g., future models to support)
  • Maintain detailed documentation of system configurations, procedures, troubleshooting guides, and FAQs to facilitate knowledge sharing with team and customers.
  • Be flexible in providing support coverage during holidays, nights and weekends as required by business needs to ensure consistent and reliable service for our customers.
Requirements
  • 3+ years of experience in a customer-facing technical role with at least 1 year in a support function in AI or supporting a mission-critical API in SaaS
  • Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments.
  • Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible) high-performance network fabrics, NFS-based storage management, container infrastructure, and scripting and programming languages.
  • Foundational understanding in the installation, configuration, administration, troubleshooting, and securing of compute clusters.
  • Complex technical problem solving and troubleshooting, with a proactive approach to issue resolution
  • Ability to work cross-functionally with teams such as Sales, Engineering, Support, Product and Research to drive customer success.
  • Strong sense of ownership and willingness to learn new skills to ensure both team and customer success.
  • Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Ability to operate in dynamic environments, adept at managing multiple projects, and comfortable with frequent context switching and prioritization.
About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. 

Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000-230,000K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our Privacy Policy at https://www.together.ai/privacy

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