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Ml Infrastructure Engineer Jobs in Nevada (NOW HIRING)

Motional

Software Engineer, ML Dev Enablement

Las Vegas, NV · On-site

$123K - $163K/yr

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 ...

Motional

Software Engineer, ML Dev Enablement

Las Vegas, NV · On-site +1

$123K - $163K/yr

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 ...

Motional

Software Engineer, ML Dev Enablement

Las Vegas, NV · On-site +1

$123K - $163K/yr

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 ...

TensorWave

Senior Machine Learning Engineer

Las Vegas, NV · On-site +1

$117K - $154K/yr

Design, operate, and improve ML infrastructure systems supporting distributed training and ... Partner with ML, systems, and platform teams to improve developer experience and operational ...

TensorWave

Senior Machine Learning Engineer

Las Vegas, NV · On-site

$117K - $154K/yr

Design, operate, and improve ML infrastructure systems supporting distributed training and ... Partner with ML, systems, and platform teams to improve developer experience and operational ...

TensorWave

Technical Program Manager

Las Vegas, NV · On-site

$123K - $159K/yr

Lead cross-functional programs spanning hardware deployment, software infrastructure, and ML platform development, ensuring alignment across engineering, product, and operations teams * Define ...

TensorWave

Technical Program Manager

Las Vegas, NV · On-site

$123K - $159K/yr

Lead cross-functional programs spanning hardware deployment, software infrastructure, and ML platform development, ensuring alignment across engineering, product, and operations teams * Define ...

TensorWave

Technical Account Manager

Las Vegas, NV · On-site

... engineers and business stakeholders Preferred Experience * Experience in GPU cloud, HPC, or AI/ML infrastructure operations * Proficiency in Kubernetes administration, GPU workload scheduling, and ...

TensorWave

Technical Account Manager

Las Vegas, NV · On-site

... engineers and business stakeholders Preferred Experience * Experience in GPU cloud, HPC, or AI/ML infrastructure operations * Proficiency in Kubernetes administration, GPU workload scheduling, and ...

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Showing results 1-20

All JobsMl Infrastructure Engineer JobsMl Infrastructure Engineer Jobs in Nevada

Ml Infrastructure Engineer information

See Nevada salary details

$47.4K

$129.4K

$185.3K

How much do ml infrastructure engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ml infrastructure engineer in Nevada is $129,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $143,600.00 per year, depending on experience, location, and employer.

What is the difference between Ml Infrastructure Engineer vs Data Engineer?

AspectML Infrastructure EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, experience with cloud platforms, scripting, and ML toolsBachelor's/Master's in CS, experience with databases, ETL, and data pipelines
Work EnvironmentFocus on deploying and maintaining ML systems, cloud infrastructure, and automationDesigning and building data pipelines, managing large datasets, and data storage
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, e-commerce, and data-driven industries

The ML Infrastructure Engineer specializes in building and maintaining the infrastructure that supports machine learning models, focusing on deployment, scalability, and automation. In contrast, Data Engineers primarily develop data pipelines and manage large datasets to enable data analysis and business intelligence. Both roles require strong technical skills and often overlap, but their core focus areas differ significantly.

What are popular job titles related to Ml Infrastructure Engineer jobs in Nevada?

For Ml Infrastructure Engineer jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Ml Infrastructure Engineer jobs in Nevada look for?

The top searched job categories for Ml Infrastructure Engineer jobs in Nevada are:

What cities in Nevada are hiring for Ml Infrastructure Engineer jobs?

Cities in Nevada with the most Ml Infrastructure Engineer job openings:

Ml Infrastructure Engineer jobs near you
Infographic showing various Ml Infrastructure Engineer job openings in Nevada as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $129,392 per year, or $62.2 per hour.

Software Engineer, ML Dev Enablement

Motional

Las Vegas, NV • On-site, Remote

Full-time

Re-posted 20 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