job summary:
Title: Lead Software Engineer
Duration: 6 months - extensions expected
Location: 100% Onsite Irving, TX 75039
Shift: M-F 8 am-5 pm CT
Accelerate the future of robotics and physical AI by solving high-impact compute bottlenecks at scale. In this high-visibility technical lead role, you will pioneer automated, agentic code optimization and push NVIDIA Omniverse, Isaac Sim, and distributed multi-GPU clusters to their absolute performance limits.
For immediate review, send resume to
#LI-JM4
location: Irving, Texas
job type: Solutions
salary: $70 - 100 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:
Key Responsibilities & Duties
- Workload Profiling & Diagnostics: Diagnose and eliminate performance bottlenecks across CPU, GPU, memory, I/O, storage, and networking layers using NVIDIA Nsight tools.
- Code Refactoring & Tuning: Refactor and tune CUDA, C++, and Python simulation code to maximize hardware utilization, throughput, and execution speed.
- Agentic Systems: Design and deploy agentic AI systems that autonomously analyze and optimize runtime code performance.
- Simulation Scaling: Accelerate and scale simulation workloads on NVIDIA Omniverse and Isaac Sim across multi-GPU and distributed systems.
- Cluster & Cloud Orchestration: Manage and optimize containerized GPU jobs using Docker, Kubernetes, and Slurm across CoreWeave, AWS, and Azure.
- Observability & Benchmarking: Implement automated regression testing, observability, and performance benchmarking for continuous tracking.
- Cross-Functional Leadership: Partner with robotics, perception, and AI teams to drive GPU performance best practices and evaluate next-generation hardware/software infrastructure.
#LI-JM4
qualifications:
Core Stack
Languages: CUDA, C++, Python
AI & Simulation: Agentic AI, NVIDIA Omniverse, Isaac Sim
Tooling & Infrastructure: NVIDIA Nsight (Systems, Compute, Graphics), Docker, Kubernetes, Slurm
Cloud Environments: CoreWeave, AWS, Azure
Required Qualifications
Education: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
Core Languages: Strong programming proficiency in C++ and Python.
GPU Architecture & CUDA: Deep expertise in CUDA programming, GPU performance optimization, and NVIDIA GPU memory hierarchy/architecture.
Agentic AI: Strong background building agents for automated code analysis and runtime optimization.
Simulation Platforms: Hands-on experience with NVIDIA Omniverse, Isaac Sim, or equivalent simulation engines.
Profiling Tooling: Practical experience using NVIDIA Nsight tools (Nsight Systems, Nsight Compute, Nsight Graphics).
Distributed Computing: Solid knowledge of multi-GPU systems, parallel processing, and distributed computing environments.
Containers & Orchestration: Proven experience with Linux, containerized workloads (Docker), and cluster orchestrators (Kubernetes, Slurm).
Cloud Infrastructure: Hands-on experience deploying and optimizing workloads on GPU cloud platforms (CoreWeave, AWS, or Azure).
Benchmarking & Efficiency: Proven track record in benchmarking, debugging, and tuning compute-intensive workloads for maximum throughput and cost efficiency.
Desired Skills & 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.
Scaling simulation platforms used for autonomy, perception, or physical AI development.
#LI-JM4
skills:
Agentic AI,AWS,AI,C++,cloud environments,Refactor,distributed systems,Docker,Isaac Sim,Kubernetes,Azure,NVIDIA Omniverse,CUDA,Python,regression testing,Slurm,software infrastructure,performance benchmarking,Diagnose,throughput,robotics,simulation
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
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