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Cuda Kernel Engineer Jobs in Washington, DC (NOW HIRING)

Cuda Kernel Engineer information

What are some 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.

What are Cuda Kernel Engineers?

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

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 popular job titles related to Cuda Kernel Engineer jobs in Washington, DC? For Cuda Kernel Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Cuda Kernel Engineer jobs in Washington, DC look for? The top searched job categories for Cuda Kernel Engineer jobs in Washington, DC are:

Senior CUDA C++ Software Engineer

Grey Matters Defense Solutions

Arlington, VA • On-site

$140K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted yesterday


Job description

Position: Senior CUDA|C++ Software Engineer
Location: Arlington, VA
Clearance: TS/SCI
Grey Matters Defense Solutions, LLC is a specialized firm in software development, data analytics algorithms, and advanced remote sensing technologies, tailored to meet the complex demands of defense and intelligence sectors. Staffed by a diverse range of professionals-from senior-level experts from organizations like the Defense Intelligence Agency (DIA), National Reconnaissance Office (NRO), Defense Advanced Research Projects Agency (DARPA), and the U.S. Armed Forces, to recent graduates and military recruits. By integrating the skills of subject matter experts, analysts, software engineers, and data scientists, Grey Matters Defense Solutions, LLC delivers unique artificial intelligence algorithms and applications, positioning itself as a leader in innovative solutions for defense and intelligence.
Summary
The Senior CUDA/C++ Software Engineer designs, develops, and optimizes high-performance GPU-accelerated software solutions supporting advanced signal processing, RF exploitation, and SIGINT mission applications. This position focuses on building scalable, production-quality software using C++, CUDA, and NVIDIA GPU technologies to process large volumes of data in real-time or near-real-time environments.
The ideal candidate possesses deep expertise in modern C++ development, GPU architecture, CUDA optimization, and high-performance computing (HPC). Experience with DSP, RF signal processing, and SIGINT applications is highly desirable.
Minimum Qualifications
8+ years of professional software engineering experience. 5+ years of experience developing high-performance applications in C++. 3+ years of hands-on CUDA development experience in production environments. Experience optimizing applications for throughput, latency, memory utilization, and scalability. Experience developing software on Linux platforms.
CUDA and GPU Software Computing
Design, develop, and maintain GPU-accelerated applications using CUDA and modern C++. Develop custom CUDA kernels optimized for performance, scalability, and maintainability. Implement efficient memory management strategies utilizing shared memory, pinned memory, unified memory, and asynchronous transfers. Optimize GPU utilization through concurrency, streams, kernel fusion, and multi-GPU processing techniques. Integrate GPU-accelerated capabilities into larger software systems and mission applications.
High Performance Computing
Analyze and optimize application performance across CPU and GPU architectures. Profile applications using NVIDIA Nsight and related performance analysis tools. Identify and resolve bottlenecks related to memory bandwidth, kernel execution, synchronization, and data movement. Develop benchmark frameworks and performance regression testing capabilities.
Software Engineering
Develop clean, maintainable, and well-documented code using modern C++ standards. Participate in software architecture, design reviews, and code reviews. Build automated unit, integration, and performance testing frameworks. Support CI/CD pipelines and automated build environments. Collaborate with cross-functional engineering teams to deliver mission-critical software capabilities.
Education
Bachelor's degree or higher in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Physics, or a related STEM discipline.
Technical Skills
C++17/20 CUDA
Python
Linux Development Git
CUDA Kernel Development NVIDIA GPU Architecture CUDA Streams and Concurrency Memory Optimization
Multi-GPU Processing Nsight Profiling cuFFT
cuBLAS
Object-Oriented Design Design Patterns
Unit Testing CI/CD
Performance Benchmarking Software Architecture Digital Signal Processing RF Systems
IQ Data Processing SIGINT Applications
High-Performance Computing
Grey Matters Defense Solutions, LLC provides transformational leadership, building aware-winning teams and products. Grey Matters Defense Solutions' most valuable assets are the more than 60 + employees. Our employees have a depth of analytical knowledge which provides them with a deep understanding of managing and delivering products within government systems.
Salary Range: $140,000 - $190,000 + additional 25% of Salary into SEP and 25% into IBA
Grey Matters Defense Solutions, LLC offer a comprehensive benefits package including medical, dental, vision, life insurance, short-term, long-term disability, and voluntary benefits such as accident, hospital indemnity, and wellness benefits.
Additional Benefits:
  • 25% (of salary) employer contribution distributed monthly to your SEP IRA
  • Individual Benefit Account 25% (of salary to pay for medical insurance premiums and funded time off)
  • Employee assistance program
  • Employee discount
  • Health savings account
  • Referral program

Visit us at Grey Matters Defense Solutions
https://www.linkedin.com/company/grey-matters-defense-solutions/
"Know Your Rights: Workplace Discrimination is Illegal"
Questions contact: [email protected]
All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Grey Matters Defense Solutions, LLC participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.
Grey Matters Defense Solutions, LLC complies with the Colorado Artificial Intelligence Act (CAIA) and maintains policies, controls, and oversight practices designed to mitigate algorithmic discrimination, promote transparency, and ensure responsible use of AI systems in accordance with Colorado law.