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Remote Cics Systems Programmer Jobs in Nevada (NOW HIRING)

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Systems Engineer I

Las Vegas, NV · On-site +1

Systems Engineer I As a Systems Engineer I, you will support the deployment, maintenance, 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

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Vay

Senior Backend Engineer

Las Vegas, NV · On-site +1

Why this role is exciting At Vay, we're revolutionizing mobility with cutting-edge remote driving ... Cloud & Distributed Systems : Solid understanding of cloud-native architectures, distributed ...

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Remote Cics Systems Programmer information

What is the difference between Remote Cics Systems Programmer vs Remote Mainframe Developer?

AspectRemote Cics Systems ProgrammerRemote Mainframe Developer
Primary RoleMaintains and optimizes CICS transaction processing systemsDevelops, tests, and maintains mainframe applications
Skills & CertificationsExperience with CICS, COBOL, JCL; certifications in mainframe technologiesProficiency in COBOL, JCL, DB2; mainframe development certifications
Work EnvironmentMainframe environments, often in financial or government sectorsMainframe systems across various industries like banking, insurance
Common UsageFocuses on system stability and transaction managementFocuses on application development and maintenance

The Remote Cics Systems Programmer primarily manages and maintains CICS transaction systems, ensuring their stability and performance. In contrast, a Remote Mainframe Developer develops and maintains mainframe applications. While both roles require mainframe skills and similar certifications, their focus areas differ—system management versus application development.

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Machine Learning Systems Engineer

Machine Learning Systems Engineer

Motional

Las Vegas, NV • On-site, Remote

Other

Re-posted 2 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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