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Remote Computer Engineering Jobs in Nevada (NOW HIRING)

JT4 LLC

Computer Scientist II

Las Vegas, NV · On-site +1

JT4, LLC provides engineering and technical support to multiple western test ranges for the U.S ... Travel to remote company work locations may be required. Disclaimer The above statements are ...

Switch

CAD BIM Manager

Las Vegas, NV · On-site +1

Support Availability Engineering by maintaining accurate ACS and MEP drawing sets * Develop and ... Flexibility & Remote Opportunities - Whether in-office, hybrid, or fully remote, we offer the ...

Deloitte

Databricks Engineer

Las Vegas, NV · On-site +1

Bachelor's degree preferably in Computer Science, Information Technology, Computer Engineering, or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Deloitte

GCP Engineer

Las Vegas, NV · On-site +1

Bachelor's degree in preferably Computer Science, Information Technology, Computer Engineering, or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Motional

Machine Learning Systems Engineer

Las Vegas, NV · On-site +1

$144K - $192K/yr

Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Deloitte

GCP Manager

Las Vegas, NV · On-site +1

Bachelor's degree in preferably Computer Science, Information Technology, Computer Engineering, or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

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Remote Computer Engineering information

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

To thrive as a Remote Computer Engineer, you need a strong background in computer science, software development, and problem-solving, usually supported by a relevant degree or equivalent experience. Familiarity with programming languages, version control systems like Git, and cloud platforms such as AWS or Azure is typically required, alongside certifications like CompTIA or AWS Certified Solutions Architect. Excellent communication, self-motivation, and time management are essential soft skills for effective remote collaboration and productivity. These skills and qualities are crucial for delivering high-quality technical solutions while working independently in distributed teams.

How do remote computer engineers typically collaborate with team members across different time zones?

Remote computer engineers often work with colleagues located in various parts of the world, which requires effective communication and collaboration tools. Teams usually rely on project management platforms, version control systems, and regular video meetings to stay aligned. Clear documentation, asynchronous communication, and flexible schedules help ensure that everyone can contribute efficiently, even when working hours don't fully overlap. Adapting to this environment can be challenging at first, but it fosters strong communication skills and autonomy.

What is remote computer engineering?

Remote computer engineering refers to the practice of working as a computer engineer from a location outside of a traditional office, often from home or another remote setting. Remote computer engineers design, develop, test, and maintain computer hardware and software systems, collaborating with teams using digital communication tools. This role requires strong technical skills, self-motivation, and the ability to manage projects independently while staying connected with colleagues virtually. Remote positions are popular in the tech industry due to their flexibility and access to a global talent pool.

What is the difference between Remote Computer Engineering vs Remote Software Development?

AspectRemote Computer EngineeringRemote Software Development
Required CredentialsBachelor's in Computer Engineering, certifications like Cisco CCNA or CompTIA Network+Bachelor's in Computer Science or Software Engineering, certifications like Microsoft Certified, AWS Developer
Work EnvironmentDesigning hardware, embedded systems, network infrastructure; often involves labs or on-site hardware testingWriting, testing, and deploying software applications; primarily computer-based work
Employer & Industry UsageTelecommunications, hardware manufacturing, embedded systems companiesTech companies, startups, software firms, IT services

Remote Computer Engineering focuses on hardware design, embedded systems, and network infrastructure, often requiring specialized certifications and hardware labs. In contrast, Remote Software Development centers on coding, testing, and deploying software applications, with a primary emphasis on programming skills and cloud certifications. Both roles are in high demand but serve different technical needs within the tech industry.

What are the most commonly searched types of Computer Engineering jobs in Nevada? The most popular types of Computer Engineering jobs in Nevada are:
What are popular job titles related to Remote Computer Engineering jobs in Nevada? For Remote Computer Engineering jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Remote Computer Engineering jobs in Nevada look for? The top searched job categories for Remote Computer Engineering jobs in Nevada are:
What cities in Nevada are hiring for Remote Computer Engineering jobs? Cities in Nevada with the most Remote Computer Engineering job openings:
Remote Computer Engineering jobs near you
Infographic showing various Remote Computer Engineering job openings in Nevada as of May 2026, with employment types broken down into 83% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution.
Machine Learning Systems Engineer

Machine Learning Systems Engineer

Motional

Las Vegas, NV • On-site, Remote

Other

Posted 17 days ago

Job description

Mission Summary:

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models.

What you'll be doing:

  • Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.
  • Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed.
  • Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.
  • Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput.

What we're looking for:

  • Education: Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.
  • Software Engineering: Strong proficiency in Python.
  • ML Frameworks: Extensive hands-on experience with PyTorch.
  • ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.
  • Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges.

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

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