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Volunteer Remote Linux Support Jobs in Nevada (NOW HIRING)

Senior Machine Learning Engineer

Las Vegas, NV ยท On-site +1

$117K - $154K/yr

Design, operate, and improve ML infrastructure systems supporting distributed training and ... Solid Linux fundamentals and experience debugging infrastructure-level issues * Ability to build ...

$130K - $135K/yr

Must be comfortable supporting a weekend schedule. ( 2 nd Shift WEEKEND schedule, Wednesday ... LI-MP1 LI-REMOTE

$130K - $135K/yr

Must be comfortable supporting a weekend schedule. ( 2 nd Shift WEEKEND schedule, Wednesday ... LI-MP1 LI-REMOTE

$130K - $135K/yr

Must be comfortable supporting a weekend schedule. ( 2 nd Shift WEEKEND schedule, Wednesday ... LI-MP1 LI-REMOTE

Showing results 21-40

Volunteer Remote Linux Support information

What is the difference between Volunteer Remote Linux Support vs Remote Linux System Administrator?

AspectVolunteer Remote Linux SupportRemote Linux System Administrator
CredentialsBasic Linux knowledge, certifications optionalAdvanced Linux certifications (e.g., RHCE), experience required
Work EnvironmentVolunteer, non-profit or community projects, remotePaid position, corporate or enterprise, remote or onsite
Employer & IndustryNon-profit, educational, community tech groupsTech companies, data centers, enterprise IT
Search & Comparison IntentVolunteering, entry-level support, learning opportunitiesProfessional career, job opportunities, advanced responsibilities

Volunteer Remote Linux Support involves providing basic Linux assistance on a volunteer basis, often for non-profit or community projects. Remote Linux System Administrators handle more complex, professional tasks in enterprise environments. The main differences lie in credentials, work setting, and job expectations, with volunteer roles focusing on learning and support, while system administrators manage critical infrastructure.

What are popular job titles related to Volunteer Remote Linux Support jobs in Nevada? For Volunteer Remote Linux Support jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Volunteer Remote Linux Support jobs in Nevada look for? The top searched job categories for Volunteer Remote Linux Support jobs in Nevada are:
What cities in Nevada are hiring for Volunteer Remote Linux Support jobs? Cities in Nevada with the most Volunteer Remote Linux Support job openings:

Senior Machine Learning Engineer

TensorWave

Las Vegas, NV โ€ข On-site, Remote

$117K - $154K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job description

About TensorWave
Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
About the Role
We're looking for a Senior Machine Learning Engineer to join our team during an exciting phase of growth. In this role, you'll be responsible for building and operating the core systems that power large-scale ML training and inference across TensorWave's GPU platform, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.
What You'll Do
  • Design, operate, and improve ML infrastructure systems supporting distributed training and inference workloads
  • Build reliable, repeatable workload execution and orchestration patterns across shared GPU environments
  • Troubleshoot performance, reliability, and scalability issues across the ML stack
  • Partner with ML, systems, and platform teams to improve developer experience and operational efficiency

Who You Are
Required Qualifications
  • Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
  • Expertise supporting production ML systems using SLURM and Kubernetes
  • Strong understanding of GPU-accelerated workloads and distributed systems concepts
  • Solid Linux fundamentals and experience debugging infrastructure-level issues
  • Ability to build automation and tooling - Python, Go, etc.

Preferred Qualifications
  • Experience working across schedulers, orchestration platforms, or cluster managers
  • Familiarity with large-scale GPU environments or HPC-style systems
  • Experience improving infrastructure reliability, utilization, or performance at scale

What We Offer
  • Stock Options
  • 100% paid Medical, Dental, and Vision insurance for Employees
  • Company Health Savings Account Contributions
  • 100% paid Short Term and Long Term Disability Insurance for Employees
  • Life and Voluntary Supplemental Insurance Options
  • Other Insurance Options, such as Pet & Legal Insurance
  • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
  • Flexible Spending Account
  • 401(k)
  • Employee Assistance Program
  • Flexible PTO
  • Paid Holidays
  • Parental Leave
  • Other In-Office Perks

Equal Employment Opportunity
TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.
Reasonable Accommodations
TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.
Employment Eligibility
All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.
Background Checks
Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.
Data Privacy Notice
By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.