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Remote Infrastructure Software Engineer Jobs in Las Vegas, NV

Senior Software Engineer

Las Vegas, NV · On-site +1

$150K - $170K/yr

Senior Software Engineer Redapt Inc. is a pioneering world-class data center infrastructure integrator, technology engineering firm, and cloud services provider. Our teams focus on delivering ...

Because breakthrough AI should move at the speed of ideas, not infrastructure. About the role We're looking for a Software Engineer (Back-end) to join our platform team during an exciting phase of ...

Because breakthrough AI should move at the speed of ideas, not infrastructure. About the Role We're looking for a Software Engineer (Front-End), to join our team during an exciting phase of growth.

Network Automation Software Lead

Las Vegas, NV · Remote

$103K - $143K/yr

... infrastructure operator. * You've built or been a core contributor to a ZTP / device-provisioning system end-to-end , not just maintained one. * Strong software engineering fundamentals: Python and ...

Network Automation Software Lead

Las Vegas, NV · On-site +1

$96K - $133K/yr

... infrastructure operator. * You've built or been a core contributor to a ZTP / device-provisioning system end-to-end , not just maintained one. * Strong software engineering fundamentals: Python and ...

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... other engineers -- who are driving real-world impact in AI development. Our platform offers an ...

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Showing results 1-20

Remote Infrastructure Software Engineer information

See Las Vegas, NV salary details

$110.3K

$172.2K

$197.2K

How much do remote infrastructure software engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote infrastructure software engineer in Las Vegas, NV is $172,169.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,200.00 and $195,800.00 per year, depending on experience, location, and employer.

What is a remote infrastructure software engineer?

Remote Infrastructure Software Engineers are professionals who design, build, and maintain the core systems and services that support an organization's IT infrastructure, all while working remotely. They focus on ensuring that networks, servers, cloud environments, and related software are secure, scalable, and reliable. Their responsibilities may include automating deployment processes, managing cloud resources, monitoring system performance, and troubleshooting issues. By working remotely, they leverage various collaboration tools to communicate with teams and manage critical infrastructure from anywhere.

How does a remote infrastructure software engineer typically collaborate with cross-functional teams in a distributed work environment?

Remote Infrastructure Software Engineers regularly work with DevOps, security, and development teams to ensure that infrastructure solutions are reliable and scalable. Collaboration often happens through daily stand-ups, code reviews, and shared documentation platforms, making strong communication skills essential. Tools like Slack, Jira, and Zoom are commonly used to bridge the distance and keep projects aligned. Successfully navigating time zone differences and asynchronous communication is a key part of the role, requiring proactive updates and flexibility.

What are the key skills and qualifications needed to thrive as a remote infrastructure software engineer, and why are they important?

To thrive as a Remote Infrastructure Software Engineer, you need a strong background in software engineering, computer networking, and distributed systems, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), infrastructure-as-code tools (like Terraform or Ansible), and CI/CD systems is essential, along with relevant certifications like AWS Certified Solutions Architect. Excellent problem-solving, communication, and self-management skills are crucial for collaborating effectively across distributed teams and handling complex remote projects. These skills ensure secure, reliable, and scalable systems that support business goals in a remote work environment.
Infographic showing various Remote Infrastructure Software Engineer job openings in Las Vegas, NV as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $172,169 per year, or $82.8 per hour.

Software Engineer, ML Dev Enablement

Motional

Las Vegas, NV • On-site, Remote

Full-time

Re-posted 6 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.