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Remote Weka Jobs in California (NOW HIRING)

Inficare Technologies

GPU Solution Architect

Santa Clara, CA · On-site +1

$74 - $97.50/hr

Santa Clara, CA (Remote preferred; occasional onsite as required - additional remote locations ... InfiniBand, NCCL, UFM; or high-performance storage (Lustre, IBM Storage Scale, WEKA, VAST Data)

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Remote Weka information

What is a remote Weka?

Remote Weka jobs involve working with the Weka machine learning software from a location outside the traditional office—typically from home or anywhere with internet access. These roles often focus on data analysis, predictive modeling, and developing machine learning algorithms using Weka's suite of tools. Remote Weka professionals may work as data scientists, machine learning engineers, or analysts, and they collaborate with teams virtually to process data, build models, and interpret results. This flexibility allows for a better work-life balance and the opportunity to contribute to projects across the globe.

How does a remote Weka engineer typically collaborate with team members and stakeholders across different time zones?

As a Remote Weka Engineer, you’ll often work with distributed teams, requiring effective asynchronous communication through tools like Slack, Jira, and email. Regular virtual meetings, paired programming sessions, and code reviews are common practices to maintain alignment and share progress. Flexibility with scheduling and proactive documentation are essential to ensure everyone is on the same page, regardless of location. This structure encourages autonomy, but also demands strong self-management and communication skills.

What are the key skills and qualifications needed to thrive as a remote data scientist using Weka, and why are they important?

To excel as a Remote Data Scientist specializing in Weka, you need a strong background in statistics, machine learning, and data analysis, often supported by a degree in computer science or a related field. Proficiency in using the Weka data mining software, as well as experience with data preprocessing and model evaluation tools, is essential. Strong problem-solving, communication, and self-management skills help you collaborate effectively and deliver insights while working remotely. These abilities are crucial to accurately analyze data, develop robust predictive models, and contribute to data-driven decisions in a distributed work environment.

What is the difference between Remote Weka vs Remote Data Analyst?

AspectRemote WekaRemote Data Analyst
Required CredentialsWeka certifications, data analysis skillsData analysis certifications, statistical knowledge
Work EnvironmentRemote, often in tech or research sectorsRemote, across various industries like finance, healthcare
Employer & Industry UsageTech companies, research institutionsBusiness, finance, healthcare organizations
Common Search & ComparisonYesYes

Remote Weka and Remote Data Analyst roles both involve data processing and analysis, but Remote Weka focuses specifically on using the Weka software platform for machine learning tasks, while Remote Data Analysts typically work with a broader range of tools and data sources. Both roles are remote and require analytical skills, but their industry applications and specific toolsets differ.

What are the most commonly searched types of Weka jobs in California?

The most popular types of Weka jobs in California are:

What are popular job titles related to Remote Weka jobs in California?

For Remote Weka jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Weka jobs in California look for?

The top searched job categories for Remote Weka jobs in California are:

What cities in California are hiring for Remote Weka jobs?

Cities in California with the most Remote Weka job openings:

Remote Weka jobs near you

GPU Solution Architect

Inficare Technologies

Santa Clara, CA • On-site, Remote

$74 - $97.50/hr

Contractor

Posted 10 days ago

Job description

Job Title: GPU Solution Architect
Location: Santa Clara, CA (Remote preferred; occasional onsite as required - additional remote locations available in WA, OR, and TX)
Job Type: Contract
Duration: 12 Months
Experience: 8+ years
Job Overview
Our client is seeking a hands-on Senior GPU Solutions Architect to elevate Day 2 operations across their Cloud Partner ecosystem. In this role, you will work directly alongside partner engineers operating AI clouds at scale - solving real performance, reliability, and economics challenges once a cluster is installed and validated. This is a highly technical, hands-on role focused on measurable outcomes, not outsourced support.
Key Responsibilities
  • Diagnose and resolve hard Day 2 operations problems at scale alongside partner engineering teams
  • Help partners prepare operating models for new platforms, capacity, and services before customer adoption
  • Improve reliability, performance, and cost efficiency using metrics such as incident frequency, recovery time, utilization, and cost per token
  • Assess and improve partner Day 2 maturity across people, process, tooling, telemetry, security, and incident response
  • Convert validated solutions into operating procedures, reference architectures, automation scripts, and agentic workflows reusable across the partner ecosystem
Required Skills
  • 8+ years in production infrastructure, cloud engineering, solutions architecture, SRE, or HPC; or 5+ years of specialist-level work in large-scale GPU or AI infrastructure
  • Hands-on experience building, operating, or improving distributed infrastructure under real production load
  • Deep expertise in at least one Day 2 stack area: GPU monitoring (DCGM), BMC/Redfish, firmware/driver lifecycle; InfiniBand, NCCL, UFM; or high-performance storage (Lustre, IBM Storage Scale, WEKA, VAST Data)
  • Proficiency across Kubernetes or Slurm, GPU scheduling and multi-tenancy, Prometheus, Grafana or OpenTelemetry
  • Automation experience with Terraform, Ansible, Argo CD, or similar tooling
  • Strong Linux knowledge; Python, Bash, or equivalent scripting for measurement, diagnosis, and remediation
  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or equivalent experience
Preferred Skills
  • Real-world experience operating a GPU cloud, HPC environment, or large-scale AI platform under customer load
  • Built or matured a 24/7 operations function including observability, incident management, and on-call design
  • Hands-on experience with rack-scale platforms such as GB200 or GB300, Spectrum-X, UFM, Base Command Manager, Mission Control, GPU Operator, or Network Operator
  • Demonstrated improvement in fleet health or unit economics through benchmarking, IaC, GitOps, or agent-based remediation
Location & Work Model
Remote preferred with proximity to Santa Clara, CA. Additional remote locations accepted in WA, OR, and TX. Occasional onsite visits to the client's Santa Clara office may be required.
Engagement Details
12-month contract engagement. 3 open positions. 4-round interview process.

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