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Cuda Kernel Engineer information

What is a CUDA Kernel Engineer?

Cuda Kernel Engineers are specialized software developers who design, implement, and optimize parallel computing algorithms using NVIDIA's CUDA platform. They write 'kernels,' which are functions that run on Graphics Processing Units (GPUs) to accelerate computational tasks in areas such as machine learning, scientific simulations, and graphics rendering. These engineers need strong skills in C/C++ programming, GPU architecture, and performance optimization techniques. Their work is crucial for applications that require high-speed data processing and efficient resource utilization.

What skills and qualifications are needed to be a CUDA Kernel Engineer?

To thrive as a CUDA Kernel Engineer, you need strong proficiency in C/C++ programming, parallel computing concepts, and a solid foundation in GPU architectures, typically supported by a degree in computer science or a related field. Expertise in NVIDIA CUDA toolkits, GPU profiling tools like Nsight, and familiarity with version control systems are essential. Analytical thinking, problem-solving abilities, and effective collaboration skills help engineers optimize code and work well within development teams. These skills and qualities are crucial for delivering high-performance, scalable GPU solutions in computationally intensive applications.

What are common challenges faced by CUDA Kernel Engineers when optimizing GPU code for performance?

Cuda Kernel Engineers often encounter challenges such as managing memory hierarchy efficiently, minimizing data transfer between host and device, and avoiding thread divergence. Ensuring optimal occupancy and maximizing parallelism while preventing bottlenecks like bank conflicts or uncoalesced memory access are also key concerns. Collaborating closely with software architects and data scientists is common, as solutions frequently require balancing algorithmic accuracy with hardware limitations. Addressing these challenges requires continuous profiling, testing, and iterative optimization.

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Cuda Kernel Engineer jobs near you

Linux Software Engineer with Security Clearance

Jacobs

Rockville, MD • On-site

Other

Re-posted 3 days ago

Job description

At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. Your impact: Jacobs/BlackLynx seeks a qualified and highly motivated Linux software engineer to work in the Rockville, MD office, and to begin immediately. Position Responsibilities: · Collaborate with a team of engineers to design, implement, and test high performance computing products · Support and maintain high performance computing products and related documentation · Interact with team members to define and derive requirements and understand use cases · Collaborate with hardware team members to support design, integration and test activities · Research current technological trends and participate in research projects for future products Here's what you'll need
Basic Qualifications: • Bachelor’s degree in Computer Science, Computer Engineering, or related field • 5-10 years of relevant professional software development experience using C++ on Linux • Understanding of object-oriented design principles • Familiarity or understanding of Linux operating system concepts including kernel, memory, I/O, networking, file systems, and multi-threaded design principles • Strong problem solving and analytical skills • Strong collaboration and communication skills • U.S. citizenship • Capable of obtaining a security clearance Preferred Qualifications: • Master’s degree in Computer Science, Computer Engineering, or related field • Embedded software development experience (to include kernels, device drivers, file systems, etc.) • Experience developing high performance computing related software • Experience programming in CUDA for GPU accelerated applications • Familiarity with signal processing concepts All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Job posted on May 13, 2026. This position will be open for at least 3 days.

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