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Software Engineer

Robotics Technologies Irving, TX

Irving, TX

Today

Full time Ai Engineer Applied Ai Engineer Artificial Intelligence

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Job Description

Robotics Technologies is seeking a Lead Software Engineer to drive performance and scalability across simulation foundation platforms, GPU computing, and agentic AI. This onsite role in Irving, TX focuses on optimizing workloads from NVIDIA Omniverse and Isaac Sim to distributed multi-GPU and containerized GPU execution.

Focus Areas

Simulation performance optimization across NVIDIA Omniverse and Isaac Sim
GPU computing performance engineering in distributed multi-GPU environments
Agentic AI systems for automated code analysis and runtime performance optimization
Operational scaling for containerized GPU workloads and GPU cloud infrastructure

Key Responsibilities

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
Collaborate on GPU cloud infrastructure work, including CoreWeave, AWS, and Azure
Develop automated regression testing, observability, and performance benchmarking solutions
Partner with robotics, perception, and AI engineering teams to improve simulation performance and scalability

Required Qualifications

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

Technology & Tools

Programming and acceleration: CUDA, C++, Python, NVIDIA GPU architecture
Simulation platforms: NVIDIA Omniverse, Isaac Sim
Profiling and analysis: NVIDIA Nsight, Nsight Systems, Nsight Compute, Nsight Graphics
Deployment and orchestration: Docker, Kubernetes, Slurm
Cloud and infrastructure: CoreWeave, AWS, Azure
Operating environment: Linux
Delivery and ML tooling: CI/CD, machine learning infrastructure, AI training, synthetic data generation
Rendering: RTX, real-time rendering workloads

Work Environment

CUDA, C++, Python, Agentic AI
NVIDIA Omniverse, NVIDIA Isaac Sim, NVIDIA Nsight
GPU Computing, Docker, Kubernetes, Slurm
Linux, CoreWeave, AWS, Azure

Location

Irving, TX (onsite)

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