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Remote International Computer Engineer Jobs in Nevada

WSP

Associate Civil Engineer, Mine Waste

Reno, NV · On-site +1

Performing domestic and international field assignments, such as geotechnical investigations and ... Comfortable working in remote settings. * Participating in and promoting a safety-first culture.

SAIC

L30 Remote Pilot Operator

Las Vegas, NV · Remote

Computer Operator Schedule: Part-Time Shift: Day Job Travel: No Minimum Clearance Required: None ... Experience working in a multidisciplinary team (Multimedia Developers, Quality Assurance ...

SAIC

L30 Remote Pilot Operator

Las Vegas, NV · On-site +1

... computer proficiency. Candidates must possess an ability to read and interpret materials such as ... Experience working in a multidisciplinary team (Multimedia Developers, Quality Assurance ...

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 ... Formalized training and/or education in Industrial Automation, Engineering, Computer Science or MIS ...

Deloitte

Manager - ServiceNow

Las Vegas, NV · On-site +1

Bachelor's degree in Computer Science, Cyber Security, Information Security, Engineering ... This compensation range is specific to Remote role and takes into account the wide range of factors ...

Link Technologies

Senior Database Engineer

Las Vegas, NV · Remote

$101K - $137K/yr

PREFERRED Degree in Computer Science, Electrical Engineering, or an equivalent engineering field ... Advanced knowledge of Linux operating systems and capable of using SSH to access remote systems ...

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Remote International Computer Engineer information

What does a Remote International Computer Engineer do?

A Remote International Computer Engineer designs, develops, and maintains computer systems and software while working from a location outside of a traditional office, often collaborating with teams and clients across different countries. Their work can include tasks like programming, troubleshooting network issues, implementing security measures, and integrating new technologies. Communication is typically done through digital channels, requiring strong technical and cross-cultural collaboration skills. This role enables companies to access global talent and allows engineers to work flexibly from anywhere in the world.

How does working remotely as an international computer engineer impact collaboration with global teams?

As a remote international computer engineer, you'll frequently collaborate with colleagues across different time zones and cultures, which can be both rewarding and challenging. Clear communication, flexibility with meeting times, and proficiency with collaboration tools like Slack, GitHub, and Jira are essential for staying aligned with your team. You'll often participate in virtual stand-ups, code reviews, and project planning sessions, requiring strong self-management skills. While the remote environment offers autonomy, it also demands proactive engagement to ensure your contributions are visible and integrated into the team's workflows.

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

To thrive as a Remote International Computer Engineer, you need strong programming abilities, a solid background in computer science or engineering, and experience with global software development practices. Familiarity with cloud platforms, version control systems like Git, and certifications such as AWS Certified Solutions Architect or CompTIA Network+ are commonly required. Excellent communication, cross-cultural collaboration, and self-motivation are essential soft skills for remote and international teamwork. These competencies ensure effective problem-solving, project delivery, and seamless cooperation across diverse and distributed teams.
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Remote International Computer Engineer jobs near you
Infographic showing various Remote International Computer Engineer job openings in Nevada as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution.
Software Engineer, ML Dev Enablement

Software Engineer, ML Dev Enablement

Motional

Las Vegas, NV • On-site, Remote

Other

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