Senior CUDA C++ Software Engineer

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.

Responsibilities

Designs, develops, and optimizes high-performance GPU-accelerated software solutions supporting advanced signal processing, RF exploitation, and SIGINT mission applications; Develops and maintains GPU-accelerated applications using CUDA and modern C++; Develops custom CUDA kernels optimized for performance, scalability, and maintainability; Implements efficient memory management strategies utilizing shared memory, pinned memory, unified memory, and asynchronous transfers; Optimizes GPU utilization through concurrency, streams, kernel fusion, and multi-GPU processing techniques; Integrates GPU-accelerated capabilities into larger software systems and mission applications; Analyzes and optimizes application performance across CPU and GPU architectures; Profiles applications using NVIDIA Nsight and related performance analysis tools; Identifies and resolves bottlenecks related to memory bandwidth, kernel execution, synchronization, and data movement; Develops benchmark frameworks and performance regression testing capabilities; Develops clean, maintainable, and well-documented code using modern C++ standards; Participates in software architecture, design reviews, and code reviews; Builds automated unit, integration, and performance testing frameworks; Supports CI/CD pipelines and automated build environments; Collaborates with cross-functional engineering teams to deliver mission-critical software capabilities

Requirements

Active TS/SCI clearance; 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 have

Deep expertise in modern C++ development, GPU architecture, CUDA optimization, and high-performance computing; Experience with DSP, RF signal processing, and SIGINT applications

Benefits

Medical; dental; vision; life insurance; short-term disability; long-term disability; voluntary accident, hospital indemnity, and wellness benefits; 25% of salary employer contribution distributed monthly to 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