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Remote Machine Vision Engineer Jobs in Nevada (NOW HIRING)

ABB

Senior Project Engineer

NV · Remote

$92K - $120K/yr

The work model for this role is: Remote {#LI-Remote} This role is contributing to the ... Vision benefit * Company paid life insurance (2X base pay) * Company paid AD&D (1X base pay)

Generac

Senior Controls Engineer

Las Vegas, NV · On-site +1

$115K - $155K/yr

Lead onsite and remote startup and commissioning activities, including development and execution of ... Health, Dental, Vision,401kand many more * State-of-the-artfacility with an onsite gym, walking ...

Multi Media LLC

Manual QA Engineer

Las Vegas, NV · Remote

$90K - $115K/yr

We are looking to bring on a QA Engineer I with experience in manual application testing. In this ... Fully Remote Optional * Health, Vision, Dental, and Life Insurances for you and any dependents ...

WSP

Associate Civil Engineer, Mine Waste

Reno, NV · On-site +1

Comfortable working in remote settings. * Participating in and promoting a safety-first culture ... Employees are also afforded a comprehensive suite of benefits including medical, dental, vision ...

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Remote Machine Vision Engineer information

How do Remote Machine Vision Engineers typically collaborate with cross-functional teams given the remote nature of the role?

Remote Machine Vision Engineers often work closely with software developers, hardware engineers, and project managers through virtual meetings, collaborative platforms, and shared code repositories. Effective communication is essential to ensure alignment on project goals, technical specifications, and integration challenges. Regular video conferences, clear documentation, and agile project management tools help maintain productivity and foster team cohesion, despite being geographically dispersed.

What does a Remote Machine Vision Engineer do?

A Remote Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to interpret visual information, often working from a remote location. Their tasks include creating algorithms for image processing, integrating hardware like cameras, and collaborating with teams to solve automation or inspection challenges. They may work in industries such as manufacturing, robotics, or healthcare, using technologies like deep learning and neural networks. Remote Machine Vision Engineers typically use tools such as Python, OpenCV, and TensorFlow, and communicate with their teams via digital platforms. This role requires both strong programming skills and a deep understanding of image analysis techniques.

What are the key skills and qualifications needed to thrive as a Remote Machine Vision Engineer, and why are they important?

To thrive as a Remote Machine Vision Engineer, you need expertise in computer vision, image processing, programming (such as Python or C++), and a relevant engineering or computer science degree. Familiarity with frameworks like OpenCV, deep learning libraries (TensorFlow or PyTorch), and experience with cloud-based collaboration tools are typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in this role. These skills ensure the accurate design and deployment of vision solutions while maintaining productivity and collaboration in a remote work environment.
What are the most commonly searched types of Machine Vision Engineer jobs in Nevada? The most popular types of Machine Vision Engineer jobs in Nevada are:
What are popular job titles related to Remote Machine Vision Engineer jobs in Nevada? For Remote Machine Vision Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Remote Machine Vision Engineer jobs in Nevada look for? The top searched job categories for Remote Machine Vision Engineer jobs in Nevada are:
What cities in Nevada are hiring for Remote Machine Vision Engineer jobs? Cities in Nevada with the most Remote Machine Vision Engineer job openings:
Remote Machine Vision Engineer jobs near you

Infrastructure Engineer - Virtualization

TensorWave

Las Vegas, NV • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 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 are building and operating large-scale infrastructure platforms to support high-performance AI workloads across multiple data centers. Our environment includes GPU-intensive systems, high-throughput networking, and rapidly scaling compute clusters.
We are looking for a Virtualization Operations Engineer to focus on the day-to-day operation, stability, and performance of our virtualization platforms. This role is responsible for ensuring that our hypervisor environments are reliable, performant, and scalable as we continue to grow.
This is a hands-on operations role working across hypervisors, virtual machines, and underlying infrastructure systems.
What You'll Do
  • Operate and maintain large-scale virtualization environments (Proxmox and/or KVM-based systems)
  • Manage the full lifecycle of virtual machines: provisioning, configuration, migration, decommissioning
  • Monitor and respond to platform health issues, including host failures, VM performance degradation, resource contention (CPU, memory, disk, network)
  • Troubleshoot and resolve issues across hypervisors, guest operating systems, storage and networking layers
  • Execute infrastructure changes safely, including cluster expansions, host maintenance and upgrades, configuration updates
  • Work with automation tools to standardize deployments, reduce manual intervention, improve operational consistency
  • Collaborate with DevOps (automation and platform tooling), Network Engineering (connectivity and performance), Storage Engineering (I/O performance and reliability)
  • Participate in incident response and root cause analysis
  • Contribute to runbooks, documentation, and operational best practices

Who You Are
Required Qualifications
  • 4-7+ years of experience in infrastructure, systems, or platform operations
  • Hands-on experience operating Linux-based virtualization platforms, such as KVM/QEMU, Proxmox, VMware (with strong Linux fundamentals)
  • Strong Linux systems knowledge, including process management, networking, disk and filesystem management
  • Experience troubleshooting CPU and memory contention, disk I/O bottlenecks, network performance issues
  • Familiarity with virtualization concepts: VM lifecycle, resource allocation, live migration
  • Experience with infrastructure automation tools (e.g., Ansible or similar)
  • Ability to work effectively during incidents and production issues

Preferred Qualifications
  • Experience operating infrastructure at scale (100+ hosts)
  • Familiarity with GPU-based systems or high-performance workloads, NUMA awareness and performance tuning
  • Exposure to high-throughput networking (bonding, VLANs, SR-IOV), distributed or high-performance storage systems
  • Experience working alongside Kubernetes or container platforms
  • Experience in cloud or CSP environments

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 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.

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