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Cuda Engineer Jobs in Spring, TX (NOW HIRING)

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 ...

Cgg

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 ...

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All JobsCuda Engineer JobsCuda Engineer Jobs in Spring, TX

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 Jul 28, 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 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 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 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.
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Cuda Engineer jobs near you
Job Posting Title HPC Applications & Performance Engineer

Job Posting Title HPC Applications & Performance Engineer

Hewlett Packard Enterprise

Spring, TX • On-site

Full-time

Posted 12 days ago

Hewlett Packard Enterprise rating

8.4

Company rating: 8.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

35th of 156 rated electronics manufacturers

Job description

Job Summary:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. They are seeking an HPC Applications & Performance Engineer to provide technical support for HPC or AI customer opportunities, collaborate with product teams, and lead performance studies. The role requires a strong understanding of HPC systems and performance optimization techniques.
Responsibilities:
• Provide pre- and post-sales technical and benchmarking support to enable HPC or AI customer opportunities
• Collaborate with HPE product engineering, product management, and marketing to influence current and future product capabilities and direction
• Evaluate emerging technologies and assess their impact on product differentiation (performance and features) for key customer applications
• Develop and maintain current knowledge of HPE and competitor HPC/AI products and performance optimization techniques to ensure the team continues to deliver high-quality benchmark results
• Lead application-focused performance studies and projects, and author technical reports and papers that communicate findings and recommendations
Qualifications:
Required:
• Bachelors, Master’s or PhD degree in computer science, engineering, mathematics, or equivalent
• 7+ years of demonstrated experience with high-end HPC systems and performance analysis/tuning of scalable HPC applications
• Excellent analytical and problem-solving skills
• Excellent written and verbal communication skills; mastery of English required
• U.S. citizenship required
Preferred:
• Experience with large-scale HPC systems and software
• Experience with large-scale AI systems and software is preferred
• Detailed understanding of multiprocessor and GPU hardware architectures, capabilities, and parallel programming techniques (e.g., OpenMP, MPI, CUDA, HIP)
• Proficiency with key industry-standard HPC benchmarks (e.g., HPL, HPCG, OSU MPI, NCCL/RCCL) on CPUs and GPUs is preferred
• Experience with performance projection methodologies to model performance of alternate system architectures using performance measurement tools and techniques is preferred
Company:
Hewlett Packard Enterprise is an edge-to-cloud company that uses comprehensive solutions to accelerate business outcomes. Founded in 1939, the company is headquartered in Spring, USA, with a team of 10001+ employees. The company is currently Late Stage.

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