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Cuda Engineer Jobs in Spring, TX (NOW HIRING)

Oxy

Senior AI - Computer Vision Engineer

Houston, TX · On-site

$99.80K - $137K/yr

Work with GPU-accelerated environments (CUDA-enabled frameworks) and AWS-based ML infrastructure ... Collaborate closely with cross-functional teams (AI platform, software engineering, domain experts ...

Deloitte

Senior AI Engineer - SFL Scientific

Houston, TX · On-site

$99.70K - $137K/yr

SysOps Administrator, DevOps Engineer, Solutions Architect) • 2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack Company : Deloitte is a business consulting ...

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Raytheon

Electrical Engineer I (Onsite)

Houston, TX

We bring the strength of more than 100 years of experience and renowned engineering expertise to ... Experience developing applications for GPU using CUDA or OpenCL. * Experience in Root-Cause ...

Viridien

Scientific Software Developer

Houston, TX · Hybrid

Master's degree or higher in Physics, Engineering, Mathematics, or Computer Science, or 5 years of ... Highly experienced with MPI, CUDA, or other type of parallel computing * Highly experienced in ...

Deloitte

HPC AI Solution Architect (S2S)

Houston, TX · On-site

$60.25 - $79.25/hr

Required : • 10+ years of experience in infrastructure architecture or engineering for large ... drivers, CUDA container runtime, and cluster lifecycle automation • 2+ years automating ...

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$32.5K

$95.5K

$122.4K

How much do cuda engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for cuda engineer in Spring, TX is $95,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $121,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a CUDA Engineer, and why are they important?

To thrive as a CUDA Engineer, you need a strong proficiency in C/C++ programming, parallel computing concepts, and deep knowledge of GPU architectures, often supported by a computer science or engineering degree. Experience with NVIDIA CUDA Toolkit, profiling/debugging tools, and sometimes certifications like NVIDIA DLI are highly valuable. Strong problem-solving, attention to detail, and effective communication skills help you optimize code and collaborate across teams. These skills ensure efficient development of high-performance GPU applications and successful project delivery in compute-intensive fields.

What are some common challenges faced by CUDA Engineers when optimizing GPU-accelerated applications?

CUDA Engineers frequently encounter challenges such as managing memory effectively between the host and the device, optimizing kernel performance, and minimizing data transfer bottlenecks. Debugging parallel code can also be complex due to race conditions and the difficulty of reproducing timing-related bugs. Collaborating closely with software developers and data scientists is essential to ensure that GPU resources are leveraged efficiently and that the application's overall performance meets project goals.

What are CUDA Engineers?

CUDA Engineers are software developers who specialize in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to write programs that run on Graphics Processing Units (GPUs). They optimize and accelerate computational tasks by parallelizing code, making use of GPUs’ capabilities for high-performance computing. CUDA Engineers often work in fields like machine learning, scientific computing, and graphics, where large amounts of data need to be processed quickly. Their expertise includes proficiency in C/C++, CUDA programming, and understanding GPU hardware and parallel computing concepts.

What is the difference between Cuda Engineer vs GPU Developer?

AspectCuda EngineerGPU Developer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related; knowledge of CUDA, C++, parallel programmingBachelor's or Master's in Computer Science, Engineering, or related; experience with GPU programming, CUDA, OpenCL
Work EnvironmentResearch labs, tech companies, hardware firms focusing on GPU accelerationSoftware development teams, gaming, AI, scientific computing sectors
Employer & Industry UsageHardware manufacturers, AI companies, high-performance computing firmsGame development, scientific research, machine learning applications

While both roles involve GPU programming and CUDA expertise, a Cuda Engineer primarily focuses on developing and optimizing CUDA-based solutions for hardware acceleration. In contrast, a GPU Developer works on broader GPU programming tasks, including application development across various platforms. The roles often overlap but differ in scope and specific focus areas.

What are popular job titles related to Cuda Engineer jobs in Spring, TX? For Cuda Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Cuda Engineer jobs in Spring, TX look for? The top searched job categories for Cuda Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Cuda Engineer jobs? Cities near Spring, TX with the most Cuda Engineer job openings:
Cuda Engineer jobs near you
Senior AI - Computer Vision Engineer

Senior AI - Computer Vision Engineer

Oxy

Houston, TX • On-site

$99.80K - $137K/yr

Full-time

Posted 4 days ago

Job description

Oxy produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership in carbon management to advance lower-carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. To learn more, visit Oxy
Oxy strives to attract and retain talented employees by investing in their professional development and providing rewarding opportunities for personal growth. Our goal is to meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment and positively impacting our communities where we do business.
We are looking for an experienced and innovative Senior AI - Computer Vision Engineer to join the AI Center of Excellence (ACE) group based in Houston, TX. This individual contributor role focuses on designing, developing, and deploying production-grade computer vision solutions across Oxy, supporting a wide range of industrial, operational, and subsurface use cases.
ESSENTIAL JOB RESPONSIBILITIES
  • Design and select appropriate computer vision model architectures for classification, detection, segmentation, and object tracking
  • Work with classification architectures such as ResNet, VGG, EfficientNet, and MobileNet, and segmentation architectures such as U-Net
  • Build, train, fine-tune, and optimize models using Ultralytics YOLO for object detection and segmentation (required)
  • Develop deep learning models using PyTorch and TensorFlow
  • Lead research and development (R&D) efforts to evaluate, prototype, and adopt state-of-the-art (SOTA) computer vision models and techniques where they provide business or operational value
  • Stay current with advances in computer vision research, including new architectures, training methods, and foundation models, and translate relevant innovations into practical solutions
  • Leverage Hugging Face for pretrained backbones, model assets, and rapid experimentation
  • Apply Vision-Language Models (VLMs) to multimodal computer vision workflows (e.g., OCR, image-to-text, prompt-driven visual understanding)
  • Design, manage, and continuously improve image and video labeling workflows, using Roboflow or similar annotation tools
  • Deliver computer vision models for surface and downhole image analysis, including lithology, facies, and textural interpretation
  • Optimize computationally heavy training and inference workloads, including GPU utilization, memory efficiency, and throughput/latency tradeoffs
  • Work with GPU-accelerated environments (CUDA-enabled frameworks) and AWS-based ML infrastructure, including Amazon SageMaker when appropriate
  • Collaborate closely with cross-functional teams (AI platform, software engineering, domain experts) and mentor junior engineers
  • Communicate technical findings, experimental results, and recommendations clearly through presentations, demos, and written documentation

QUALIFICATIONS
  • Master's Degree in Computer Science or a related technical field required.
  • 6+ years of hands-on experience in computer vision or applied deep learning. An equivalent combination of relevant education and experience will be considered.
  • Excellent Python skills (required), including writing clean, efficient, production-ready code
  • Strong experience with PyTorch, TensorFlow, CNN-based architectures, transformers, and Vision-Language Models
  • Ultralytics YOLO experience required, including training and tuning on real-world datasets
  • Practical familiarity with Hugging Face and Roboflow
  • Experience working with GPU-accelerated workloads and CUDA-enabled deep learning frameworks
  • Experience developing or running ML workloads on AWS, including Amazon SageMaker and GPU instances
  • Strong experience working in Linux environments
  • Excellent teamwork, communication, and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences
  • Demonstrated contributions to computer vision research, including peer-reviewed publications, conference papers, or equivalent applied research output

Occidental does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.
Recruitment Fraud
It has come to our attention various individuals and/or organizations are contacting people falsely pretending to recruit on behalf of Oxy. Please be aware that these recruiting scams and communications do not originate nor are they associated with our recruitment process. All Oxy job postings and offers will require a completed application through our company website.
Oxy does not charge a fee at any stage of the recruiting process. We will never:
• Ask you to pay for applications, interviews, meetings, processing, training or for any other fees
• Use recruiting or placement agencies that charge candidates an advance fee of any kind or
• Request personal information such as passport and bank account details at an early stage of our recruitment process.
We recommend against responding to unsolicited business propositions or offers from people you don't know. Do not disclose your personal or financial details. If you believe you have been the victim of a recruiting scam, please contact your local police department.
All qualified applicants will receive consideration for employment without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
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About Oxy

Sourced by ZipRecruiter

For 100 years, Oxy has developed extensive assets, infrastructure, expertise and technology to fuel progress and improve lives around the world. Now we’re leveraging these resources to help solve the planet’s most pressing environmental challenges. We want to be part of the solution, so we're taking bold steps to innovate new technologies for a low-carbon future. Oxy produces energy and essential products to sustain and improve life on our planet. Our experienced teams, located in the United States, Middle East, Africa and Latin America, are committed to safe and efficient operations and products, and to reducing our carbon footprint and helping others do the same.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

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