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Cuda Engineer Jobs in Spring, TX (NOW HIRING)

HPC Specialist Architect - Energy Industry

Houston, TX · On-site

$60.75 - $83/hr

Proficient in one or more of the following programming languages: C++, Python, Cuda, or Bash. - Experience in architecting an HPC platform with scheduling middleware (e.g. Slurm, Torque, Symphony or ...

Strong programming skills in HPC environment (e.g., C, C++, Python, Fortran, MPI, OpenMP, CUDA) * Knowledge of seismic acquisition techniques, seismic data processing, seismic wave propagation ...

Strong programming skills in HPC environment (e.g., C, C++, Python, Fortran, MPI, OpenMP, CUDA) * Knowledge of seismic acquisition techniques, seismic data processing, seismic wave propagation ...

Strong programming skills in HPC environment (e.g., C, C++, Python, Fortran, MPI, OpenMP, CUDA) * Knowledge of seismic acquisition techniques, seismic data processing, seismic wave propagation ...

Showing results 41-45

Cuda Engineer information

See Spring, TX salary details

$32.5K

$95.5K

$122.4K

How much do cuda engineer jobs pay per year?

As of Aug 19, 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 is a CUDA engineer?

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 are the key skills and qualifications needed to thrive as a CUDA engineer?

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 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:

Senior Research Scientist - MRI

United Imaging North America

Houston, TX • On-site

$94K - $119K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

Description:

Who we are?

United Imaging is a leading global medical device developer and supplier with a diversified portfolio of advanced medical products, digital healthcare solutions, and intelligent solutions that cover the entire process of imaging diagnosis and treatment. From our North American HQ in Houston, we are passionate about expanding our customer sales and support structure, embracing the highest quality and craftsmanship in each of our medical imaging products, and dedicated to building an outstanding organization.

Join our innovative team with the mission of developing and supplying advanced technologies and improving patient care worldwide. As part of our global team, you will have the opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career.

Company Page: http://www.united-imaging.com/en/home/

Benefits and Compensation

When joining our team, we offer the following benefits: medical, dental, vision, short- & long-term disability insurance, employee assistance program, company paid basic life insurance, 401(k) with employer match, paid time off, sick leave, and paid holidays. Compensation decisions are based upon the candidate level of skill, qualifications, geographical location and experience, and it is not typical for an individual to be hired at or near the top of the posted pay range. Additionally, the position may also be eligible to earn performance-based incentive compensation.

Job Duties & Responsibilities

  • As a Senior Research Scientist - MRI, major responsibilities will include, but are not limited to:
    Lead the design and implementation of novel MRI pulse sequences and image reconstruction algorithms (including neural networks) to address challenges in medical imaging.
  • Drive the integration of AI and Machine Learning into reconstruction pipelines to reduce scan times and enhance diagnostic clarity.
  • Under guidance, assume technical ownership of advanced MRI application development projects, from conceptualization to product launch.
  • Support scientific collaborators at luminary institutions to conduct cutting-edge MRI research.
  • Contribute to company’s IP portfolio, including development of invention disclosures and patent applications.
  • Contribute to team-oriented projects in a collaborative and innovative research environment.
  • Maintain knowledge (e.g., publications, conferences) of state-of-the-art and trends in imaging technologies and reporting to global team.
Requirements:
  • Ph.D. or equivalent experience in Medical Physics, Biomedical Engineering, Electrical Engineering, or related fields
  • A strong technical background in the field of MRI with a proven track record of scientific publications, or MRI product development experience from concept stage through commercialization stage
  • Expertise in one or more of the following areas: pulse sequence development; image reconstruction; artificial intelligence for MRI
  • Knowledge and experience in neuroimaging research is a plus
  • Demonstrated experience using fast prototyping software (e.g., MATLAB, Python)
  • Demonstrated experience with C/C++ development and/or GPU programming with CUDA is preferred
  • Demonstrated ability to lead and influence a highly technical group
  • Excellent oral and written communication skills for multiple levels of an organization
  • Excellent organizational and time management skills
  • Willing to travel domestically and internationally up to 20%
  • Demonstrated Passion for Change


Working Conditions:

Magnetic Environment Exposure:

This position requires working in an environment where strong magnetic fields may be present. Employees may be exposed to powerful magnets, electromagnetic equipment, or other devices that generate magnetic fields.

Risk to Ferrous Metals in the Body:

Due to the nature of the magnetic environment, employees must not wear or carry ferrous metals on their person while in the designated work area. This includes, but is not limited to, metal objects such as steel, iron, and other ferrous materials. Additionally, employees with implants, medical devices, or foreign objects containing ferrous metals within their body (e.g., certain surgical implants, pacemakers, or metal pins) may be at risk and must disclose any such conditions to their supervisor prior to starting work.

Diversity, Equity, and Inclusion

United Imaging is an Equal Opportunity Employer. Diversity, equity, and inclusion matter. United Imaging provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.*Note: Relocation is not available for this role.