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Remote Computer Engineering Jobs in Nevada (NOW HIRING)

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Systems Engineering, Electrical Engineering, Aerospace Engineering, Computer Engineering, or a related discipline. * Comfortable working in a fully remote ...

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Systems Engineering, Electrical Engineering, Aerospace Engineering, Computer Engineering, or a related discipline. * Comfortable working in a fully remote ...

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Systems Engineering, Electrical Engineering, Aerospace Engineering, Computer Engineering, or a related discipline. * Comfortable working in a fully remote ...

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Systems Engineering, Electrical Engineering, Aerospace Engineering, Computer Engineering, or a related discipline. * Comfortable working in a fully remote ...

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 ...

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 ...

Senior Motion Planning Engineer

Las Vegas, NV · On-site +1

$172K - $229K/yr

PhD preferred in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or a ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

$18 - $50/hr

We are a leading global software company dedicated to the world of computer aided design, 3D ... Comfortable working in a remote work environment preferably in the California region * Experience ...

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Showing results 1-20

Remote Computer Engineering information

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.

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 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.

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.

Are remote computer engineers still in demand?

Remote computer engineering remains in high demand due to ongoing digital transformation and the need for software development, system design, and cybersecurity expertise. Professionals with skills in programming languages, cloud platforms, and remote collaboration tools are especially sought after across various industries.

Can you work remotely as a computer engineer?

Yes, many computer engineering roles can be performed remotely, especially those involving software development, system design, and troubleshooting. Remote work often requires strong communication skills, familiarity with collaboration tools, and sometimes specific certifications or security clearances depending on the employer.

Which remote computer engineering jobs can be done remotely?

Remote computer engineering jobs include roles such as software engineer, hardware engineer, systems architect, and embedded systems developer. These positions often require skills in programming, hardware design, or system integration and can be performed from a home office with access to necessary tools and internet connectivity.

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 cities in Nevada are hiring for Remote Computer Engineering jobs?

Cities in Nevada with the most Remote Computer Engineering job openings:

Infographic showing various Remote Computer Engineering job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution.

Machine Learning Systems Engineer

Las Vegas, NV • On-site, Remote

Motional
Motor Vehicle Manufacturing • 501 - 1,000 employees

Full-time

Re-posted yesterday


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.