Gpu + Cuda

Gpu + Cuda Engineer Jobs

2 jobs found

Today

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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4d ago

Software Engineer, Sensing Systems

CHAOS Industries El Segundo, CA

El Segundo, CA

4d ago

$154k - $211k/yr Full time Backend Developer Python Automation

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Job Description

Software Engineer focused on building sensing-system software for long-range EO/IR and multi-sensor integration, from desk work through autonomous field testing.

Responsibilities

Develop software that remains sensor-agnostic, staying generic across multiple camera heads and configurations while meeting required performance targets and adapting to mission and customer needs.
Create the end-to-end path from desktop development to field execution using harnesses and graphs that carry capabilities from first commit through simulation and hardware-in-the-loop, into complete end-to-end test runs with minimal manual effort.
Build autonomous field testing that runs full test suites against real hardware at CHAOS test sites, then reports results from the test execution.
Advance simulation and replay workflows so more features can be implemented and validated before touching hardware.
Implement multi-sensor integration including interfaces, timing, and data flow so radar, cameras, and other sensors operate as a single system.
Deliver and maintain fielded software with deployment, monitoring, and live fixes for edge hardware at both test and customer locations.

Requirements

3+ years of professional software engineering with ownership of a production system end to end: design, shipping, and fixing when issues occur.
A degree in Computer Science, Engineering, Physics or related field, or equivalent experience.
Strong Python for building services and engineering tools that other engineers rely on, beyond scripts and notebooks.
Comfort with Linux, Docker, networking, and CI, including bringing up a multi-service system on unfamiliar hardware.
Practical leverage from AI coding tools (such as Cursor or Claude Code) with a reasoned approach to what to delegate versus what to keep under direct control.
Grounding in the physical world: experience reading schematics, understanding a test rack, and collaborating with optics or RF engineers (via degree, hardware/sensor/robotics work, or field time where systems operate outside the lab).
Willingness to perform field work: be onsite when code runs and debug and ship fixes before the next flight.
Measurement-driven workflow: build the experiment, then trust and use the data.

Technologies

Python, Linux, Docker
Cursor, Claude Code
MATLAB, Simulink
CI, GStreamer, DeepStream, NVIDIA Jetson
GPU, CUDA
C++, TypeScript
Gazebo, Isaac Sim, Unreal

Benefits

Medical, dental, and vision benefits 100% paid by the company
401k with 50% company match up to 6% of pay
FSA, HSA, life insurance, and more
Free daily lunch while working onsite
Fully-stocked kitchen
Unlimited PTO
Casual dress code
Relocation assistance
Pre-IPO stock option grants
Annual bonuses (coming soon)

Additional Notes

This role is not: algorithm research; physics modeling; applied machine learning training on sensor data; pure DevOps (infrastructure is part of the work, but writing engineering-critical software is the focus).
Nice to have: cameras, EO/IR sensors, gimbals, radar, video pipelines such as GStreamer or DeepStream; embedded Linux or edge computing (especially NVIDIA Jetson) and GPU/CUDA work; robotics, autonomous vehicles, drones, or aerospace; hardware-in-the-loop test rigs or test automation against real hardware; simulation or game-engine work (Gazebo, Isaac Sim, Unreal); building AI agent harnesses/workflow graphs; C++ or TypeScript; defense/aerospace experience or a current U.S. security clearance.

Location and Requirements

Onsite in El Segundo, CA
Regular travel to test sites and field deployments
U.S. Person status required due to access needs for U.S.-only data systems
Ability to obtain and maintain a U.S. security clearance

Compensation: USD 154,000 - 211,000 per yearly.

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Gpu + Cuda Engineer Jobs

Software Engineer

Software Engineer, Sensing Systems

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