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Weekend Nvidia Autonomous Driving Jobs in Houston, TX

Bot Auto

GPU Engineer

Houston, TX · On-site

Optimize end-to-end GPU performance for real-time autonomous driving workloads , including sensor ... Experience with NVIDIA Jetson Thor, NVIDIA DRIVE Thor , or similar embedded GPU platforms.

Bot Auto

GPU Engineer

Houston, TX · On-site

Optimize end-to-end GPU performance for real-time autonomous driving workloads , including sensor ... Experience with NVIDIA Jetson Thor, NVIDIA DRIVE Thor , or similar embedded GPU platforms.

Nuro

Mission Operations Coordinator, Houston

Houston, TX

$55K - $75K/yr

Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for ... Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price ...

ISEE

Autonomous Vehicle Operator

Houston, TX · On-site

$20.75 - $26/hr

At least 21 years of age and at least 5 years of driving experience * The ability to operate ... Able to work on rotating shifts, including nights, weekends, early mornings, and holidays * Ability ...

ISEE

Autonomous Vehicle Operator

Houston, TX · On-site

$20.75 - $26/hr

At least 21 years of age and at least 5 years of driving experience * The ability to operate ... Able to work on rotating shifts, including nights, weekends, early mornings, and holidays * Ability ...

ISEE

Autonomous Vehicle Operator

Houston, TX · On-site

$20.75 - $26/hr

At least 21 years of age and at least 5 years of driving experience * The ability to operate ... Able to work on rotating shifts, including nights, weekends, early mornings, and holidays * Ability ...

Trillium Staffing

Autonomous CDL Driver

Houston, TX · On-site

$31 - $35/hr

No weekends! This is more than a driving job--it's an opportunity to work at the forefront of autonomous mobility alongside engineers and technology experts. What You'll Do: * Safely operate Class A ...

Transdev

L1 - Associate

Houston, TX · On-site

$20 - $23/hr

Must have and maintain a driving record that meets state AVT (Autonomous Vehicle Tester) and/or ... Must be able to work specific shifts, including early mornings, evenings, and/or weekends, as well ...

Transdev

L1 - Associate

Houston, TX · On-site

$20 - $23/hr

Must have and maintain a driving record that meets state AVT (Autonomous Vehicle Tester) and/or ... Must be able to work specific shifts, including early mornings, evenings, and/or weekends, as well ...

TSMG

Autonomous vehicle Operator with CDL

Houston, TX · On-site

$20.75 - $26/hr

The Autonomous Vehicle Test Operator is responsible for operating and evaluating a self-driving ... Must be able to work specific shifts, including early mornings, evenings, and/or weekends, as well ...

TSMG

Autonomous vehicle Operator with CDL

Houston, TX · On-site

$16.75 - $22/hr

The Autonomous Vehicle Test Operator is responsible for operating and evaluating a self-driving ... Must be able to work specific shifts, including early mornings, evenings, and/or weekends, as well ...

TSMG

Autonomous vehicle Operator with CDL

Houston, TX · On-site

$16.75 - $22/hr

The Autonomous Vehicle Test Operator is responsible for operating and evaluating a self-driving ... Must be able to work specific shifts, including early mornings, evenings, and/or weekends, as well ...

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How much do weekend nvidia autonomous driving jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for weekend nvidia autonomous driving in Houston, TX is $20.41, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $20.67 per hour, depending on experience, location, and employer.

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GPU Engineer

Houston, TX • On-site

Bot Auto
See more jobs at Bot Autoexternal

Full-time

Re-posted 4 days ago

Job description

Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.

You would collaborate with software engineers, AI researchers, and hardware specialists to develop high-performance solutions that meet the stringent requirements of autonomous driving applications. This is an exciting opportunity to work on next-generation transportation technology and make a meaningful impact on the future of mobility.

Key Responsibilities
  • Optimize end-to-end GPU performance for real-time autonomous driving workloads, including sensor processing (e.g., camera, LiDAR) and neural network inference.
  • Develop and optimize parallel computing algorithms and GPU-accelerated components using technologies such as CUDA.
  • Collaborate with cross-functional teams to design and improve onboard GPU software architectures that meet the computational requirements of perception, planning, and control modules.
  • Profile and analyze bottlenecks across GPU computation, memory access, data movement, synchronization, and CPU-GPU interaction.
  • Debug and optimize GPU-based software to improve latency, throughput, resource utilization, and runtime stability on embedded platforms.
Qualifications:

Required:

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
  • Strong knowledge of parallel computing principles, GPU architecture, memory hierarchy, and performance optimization techniques.
  • Experience profiling GPU applications using tools such as NVIDIA Nsight Systems, Nsight Compute, or equivalent tools.
  • Experience deploying or optimizing neural network inference workloads using technologies such as PyTorch, ONNX, and TensorRT.
  • Experience with real-time embedded systems and handling large data streams from sensors (camera, LiDAR, radar).
  • Strong proficiency in C/C++ and Python.

Preferred:

  • 3+ years of experience in GPU programming and optimization (e.g., CUDA, OpenCL, Vulkan).
  • Experience with NVIDIA Jetson Thor, NVIDIA DRIVE Thor, or similar embedded GPU platforms.
  • Experience with model quantization, including FP8 and NVFP4.
  • Experience managing concurrent GPU workloads and resource isolation using technologies such as NVIDIA Multi-Process Service (MPS), Multi-Instance GPU (MIG), or other related technologies.
  • Experience with GPU-accelerated sensor data compression, including camera, LiDAR, or other onboard sensor data.

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