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# Software Engineer, ML Dev Enablement

- **Company:** Motional LLC
- **Location:** Las Vegas, NV, United States (Remote available)
- **Salary:** $123,000.0 - $163,500.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, C++ (Programming Language), Cloud Computing, Cloud Engineering, Extract Transform Load (ETL), Programming Tools, Distributed Computing Environment, Distributed Systems, Memory Management, Integrated Development Environments, Python (Programming Language), Machine Learning, Network Service, Performance Tuning, Tensorflow, Software Engineering, Systems Integration, Graphics Processing Unit (GPU), Pytorch, Large Language Models, Deep Learning, Kubernetes, Information Technology, Machine Learning Operations, Virtual Agents, Data Pipelines
- **Published:** July 1, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c0775074e5fbf070

## About the Role

* 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, * 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.

## Description

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.


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