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Python Kubernetes Software Engineer Data Jobs in Las Vegas, NV

... and Kubernetes. * Experience working with air-gapped networks. * Experience with Hyper-V and/or ... Ability to analyze data, resolve problems, and make decisions independently. * Ability to ...

Ability to solicit and document detailed product requirements; writes technical data packages in ... Kubernetes. Experience working with air-gapped networks. Experience with Hyper-V and/or VMWare.

... Kubernetes to build robust, high-scale distributed solutions. * System-Level ML Optimization ... Partner with ML engineers and data scientists to understand their complex needs, bridging the gap ...

... Kubernetes to build robust, high-scale distributed solutions. * System-Level ML Optimization ... Partner with ML engineers and data scientists to understand their complex needs, bridging the gap ...

Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an ... Software Engineering, Biomedical Engineering (with computational focus), or related field

Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an ... Software Engineering, Biomedical Engineering (with computational focus), or related field

Senior Software Engineer (Back-end)

Las Vegas, NV · Remote

$125K - $165K/yr

Automate Slurm and Kubernetes cluster lifecycle--bootstrapping, upgrades, node provisioning, and ... Data Privacy Notice By submitting an application, you acknowledge that TensorWave may collect, use ...

We are looking for a C++ Software Engineer to develop, maintain, and upgrade software systems that ... data structures in a Linux environment. Las Vegas or Remote Experience working in the gaming ...

Data Engineer II

Las Vegas, NV

$110K - $132K/yr

You will work with modern data technologies including Databricks, Apache Spark, Delta Lake, Python ... Experience using Git and collaborative software development practices. * Strong analytical ...

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Software Engineer, ML Dev Enablement

Motional

Las Vegas, NV • On-site, Remote

Other

Re-posted 3 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.