Senior CUDA C++ Software Engineer
About The Position
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.
Requirements
- 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.
- Bachelor's degree or higher in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Physics, or a related STEM discipline.
- 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
Nice To Haves
- Experience with DSP, RF signal processing, and SIGINT applications is highly desirable.
Responsibilities
- 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.
- 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.
- 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.
Benefits
- medical
- dental
- vision
- life insurance
- short-term disability
- long-term disability
- voluntary benefits such as accident, hospital indemnity, and wellness 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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
