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Remote Endpoint Device Management Engineer Jobs in Nevada

State of Nevada (NV)

PROFESSIONAL ENGINEER

Carson City, NV · On-site +1

$80K - $120K/yr

Please note that this position is on-site and does not offer remote work options. The Job Duties ... management and in briefing meetings. Attend public meetings and hearings to provide technical ...

Deloitte

Epic Denials Management Operator

Las Vegas, NV · Remote

$17.25 - $23/hr

Position Summary Join Deloitte's AI & Engineering practice to support hospital denials management ... This is a primarily remote role supporting enterprise Epic support, with minimal travel and ...

ABB

Commercial Proposal Engineer

NV · Remote

Sales Support Manager __ Your role and responsibilities In this role, you will focus on the ... This is a remote position. #Li-Remote This role is contributing to the Electrification Smart ...

MasTec Industrial

Engineer, E&I

North Las Vegas, NV · On-site +1

$140K - $180K/yr

This is a remote role and can be based anywhere in the United States. Must be able to travel up to ... Manage 3rd party engineers for progress, quality, and cost for specific discipline * Provide input ...

MasTec Industrial

Engineer, E&I

Reno, NV · On-site +1

$140K - $180K/yr

This is a remote role and can be based anywhere in the United States. Must be able to travel up to ... Manage 3rd party engineers for progress, quality, and cost for specific discipline * Provide input ...

MasTec Industrial

Engineer, E&I

Henderson, NV · On-site +1

$140K - $180K/yr

This is a remote role and can be based anywhere in the United States. Must be able to travel up to ... Manage 3rd party engineers for progress, quality, and cost for specific discipline * Provide input ...

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Remote Endpoint Device Management Engineer information

What is the difference between Remote Endpoint Device Management Engineer vs Network Operations Center (NOC) Technician?

AspectRemote Endpoint Device Management EngineerNetwork Operations Center (NOC) Technician
CertificationsCompTIA Network+, Cisco CCNA, Microsoft certificationsCompTIA Network+, Cisco CCNA, Network+
Work EnvironmentRemote or on-site, focused on device management and software deploymentOn-site or remote, monitoring network infrastructure and troubleshooting
Industry UsageIT, telecommunications, enterprise techTelecommunications, internet service providers, large enterprises

The Remote Endpoint Device Management Engineer primarily manages and maintains endpoint devices like laptops, mobile devices, and desktops remotely, ensuring security and software updates. In contrast, the NOC Technician monitors network performance, troubleshoots connectivity issues, and maintains network hardware. Both roles require technical certifications and are vital in IT and telecom industries, but they focus on different aspects of network and device management.

What are some common challenges faced by remote endpoint device management engineers, and how can they be addressed?

Remote Endpoint Device Management Engineers often encounter challenges such as ensuring device security across diverse remote environments, troubleshooting connectivity issues, and managing software updates at scale. These can be addressed by implementing robust endpoint management tools, maintaining clear documentation, and establishing strong communication channels with end users. Proactively monitoring devices and automating routine tasks can also help streamline workflows and minimize disruptions, leading to a more secure and efficient remote work environment.

What are the key skills and qualifications needed to thrive as a remote endpoint device management engineer?

To thrive as a Remote Endpoint Device Management Engineer, you need expertise in endpoint security, operating systems (Windows, macOS, Linux), and device lifecycle management, typically supported by a degree in IT or a related field. Familiarity with device management platforms like Microsoft Intune, Jamf, or VMware Workspace ONE, as well as certifications such as CompTIA A+ or Microsoft Certified: Modern Desktop Administrator, is highly valued. Strong problem-solving, communication, and attention to detail are critical soft skills for efficiently addressing device issues and supporting end users remotely. These skills ensure secure, reliable device performance and a seamless user experience, which are vital for productivity in remote and hybrid work environments.

What is a remote endpoint device management engineer?

A Remote Endpoint Device Management Engineer is a technology professional responsible for overseeing, configuring, and maintaining endpoint devices such as laptops, desktops, mobile phones, and tablets within an organization, often from a remote location. They use specialized management tools to ensure devices are secure, compliant with company policies, and up-to-date with software and security patches. Their work involves troubleshooting device issues, deploying applications, and enforcing security protocols to protect sensitive data. These engineers play a key role in supporting remote workforces and maintaining the integrity of IT environments.
What are popular job titles related to Remote Endpoint Device Management Engineer jobs in Nevada? For Remote Endpoint Device Management Engineer jobs in Nevada, the most frequently searched job titles are:
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Remote Endpoint Device Management Engineer jobs near you

Software Engineer, ML Dev Enablement

Motional

Las Vegas, NV • On-site, Remote

Full-time

Re-posted 9 days ago

Job description

Mission Summary:

We are looking for a Software Engineer to join our ML Infrastructure: Dev Enablement Team. Our mission is to build a frictionless development environment that empowers our researchers and engineers to rapidly innovate on deep learning models for autonomous driving.

We manage a high-scale Cloud Development Environment (CDE) platform that provides standardized, high-performance workspaces for ML development. As we evolve, in this role, you'll spearhead high-impact initiatives: designing multi-cloud setups to maximize GPU availability, driving deep-level model optimization, and building next-generation Agentic AI toolings. You will play a pivotal role in ensuring our training ecosystem remains cutting-edge, resilient and highly efficient.

What You'll Be Doing:

  • Build Agentic AI Tooling: Design, develop, and enhance Agentic AI tools and systems to automate workflows, streamline the ML lifecycle, and empower developer productivity.
  • Scale Core Infrastructure: Drive the continuous development of our core ML infrastructure and existing CDE platform, leveraging Kubernetes to build robust, high-scale distributed solutions.
  • System-Level ML Optimization: Partner closely with ML Researchers to profile and optimize distributed training jobs (PyTorch/DDP) and data pipelines. Focus on resolving system-level bottlenecks-such as data loading (I/O), memory management, and network communication overhead-to maximize GPU utilization and training throughput.
  • Collaborate Cross-Functionally: Partner with ML engineers and data scientists to understand their complex needs, bridging the gap between underlying infrastructure and model development.

What We're Looking For:

  • BS or MS in Computer Science or related field
  • Strong knowledge of software engineering principles and distributed systems.
  • Strong proficiency with Python or Go or C++
  • Experience with building on AWS services or other Cloud platforms and container orchestration using Kubernetes.
  • Experience with the various stages of the ML development lifecycle
Bonus Points:
  • Hands-on experience with ML model profiling and performance optimization for distributed training.
  • Experience managing or working with high-performance compute resources (GPUs).
  • Experience with ML frameworks such as PyTorch or Ray.
  • Experience building, integrating, or enhancing Agentic AI systems and LLM-driven developer tools.

 We encourage a hybrid schedule with in-office time at our Las Vegas location to support collaboration, or this role can be fully remote.

Apply