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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 ...

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 ...

TensorWave

Senior Machine Learning Engineer

Las Vegas, NV · On-site +1

$117K - $154K/yr

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

Quora

iOS Engineer -Remote

Carson City, NV · Remote

$166K - $191K/yr

We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ... For Toronto and Vancouver based applicants, the salary range is $166,675 - $191,397 CAD + equity ...

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Remote Computer Engineering information

How to make $100,000 a year working from home?

Remote computer engineers can earn $100,000 or more annually by gaining specialized skills in high-demand areas such as cybersecurity, cloud computing, or software development, and obtaining relevant certifications. Building a strong portfolio, gaining experience, and working for established companies or freelancing can also increase earning potential while working from home.

What engineers make $500,000?

Senior computer engineers, especially those in specialized fields like software architecture, machine learning, or cybersecurity, can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High compensation typically requires extensive experience, advanced skills, and working in high-demand industries or companies, often in leadership or highly technical roles.

What engineers make $300,000 a year?

Senior software engineers, especially those working in high-demand fields like cloud computing, AI, or cybersecurity, can earn $300,000 or more annually, often with bonuses and stock options. Specialized roles such as hardware engineers or engineering managers in large tech companies may also reach this compensation level, particularly with extensive experience and advanced skills.

Can a Computer Engineer work remotely?

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.

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.

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 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
Machine Learning Systems Engineer

Machine Learning Systems Engineer

Motional

Las Vegas, NV • On-site, Remote

Other

Posted 8 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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