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# Software Engineer

- **Company:** Robotics Technologies LLC
- **Location:** Irving, TX, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Cloud Computing, Computer Clusters, Static Program Analysis, Nvidia CUDA, Computer Programming, Computer Engineering, Software Debugging, Linux, Distributed Systems, General-Purpose Computing on Graphics Processing Units, Python (Programming Language), Machine Learning, Performance Tuning, Regression Testing, Software Engineering, Digital Twin, Graphics Processing Unit (GPU), Multi-Agent Systems, Parallel Computation, Agentic-AI, Isaac Sim, Kubernetes, Information Technology, Slurm, Real-time Rendering, NVIDIA Omniverse, Code Restructuring, Docker, Data Generation
- **Published:** November 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=fc9e49a63eab7c90

## About the Role

We are seeking an experienced Lead Software Engineer specializing in Simulation Foundation Platforms, GPU Computing, and Agentic AI. The ideal candidate will have strong expertise in CUDA, C++, Python, and NVIDIA GPU architecture, with hands-on experience optimizing high-performance simulation workloads., * Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline.

 * Minimum 7+ years of relevant software engineering experience.
 * Strong programming proficiency in C++ and Python.
 * Deep expertise in CUDA programming, GPU performance optimization, and NVIDIA GPU architecture.
 * Strong experience with Agentic AI and autonomous agents for automated code and runtime optimization.
 * Hands-on experience with NVIDIA Omniverse, Isaac Sim, or equivalent simulation engines.
 * Practical experience with NVIDIA Nsight tools, including Nsight Systems, Nsight Compute, and Nsight Graphics.
 * Strong understanding of multi-GPU systems, parallel processing, and distributed computing.
 * Experience with Linux, Docker, Kubernetes, and Slurm.
 * Proven ability to benchmark, debug, and optimize compute-intensive workloads.
 * Experience optimizing RTX and real-time rendering workloads.
 * Background in robotics, autonomous systems, digital twins, or simulation platforms.
 * Knowledge of High-Performance Computing (HPC) environments and large-scale GPU clusters.
 * Experience with CI/CD pipelines and automated performance benchmarking frameworks.
 * Familiarity with machine learning infrastructure, AI training, and synthetic data generation.

## Description

* Analyze and optimize workloads across CPU, GPU, memory, I/O, storage, and networking using NVIDIA Nsight tools.
 * Refactor and optimize simulation codebases using CUDA, C++, and Python to improve hardware utilization and execution performance.
 * Design and implement agentic AI systems for automated code analysis and runtime performance optimization.
 * Optimize and scale simulation workloads using NVIDIA Omniverse and Isaac Sim across multi-GPU and distributed computing environments.
 * Manage and optimize containerized GPU workloads using Docker, Kubernetes, and Slurm.
 * Work with GPU cloud infrastructure, including CoreWeave, AWS, and Azure.
 * Develop automated regression testing, observability, and performance benchmarking solutions.
 * Collaborate with robotics, perception, and AI engineering teams to improve simulation performance and scalability.