Eng Sr Prin II - SW

BAE Systems•Merrimack, NH

11d•Onsite

About The Position

Join our dynamic team of innovators and shape the future of defense technology. We’re seeking highly motivated and skilled software engineers passionate about leveraging the power of C++ and CUDA to solve challenging real-world problems. If you’re a creative problem-solver, a lifelong learner, and thrive in a collaborative environment, we encourage you to apply. We value proactive individuals who are adaptable and excited to tackle new challenges. Accelerate Innovation with GPU Computing in FAST Labs The BAE Systems' FAST Labs team conducts cutting-edge research and development to create advanced electronic solutions for the U.S. military. We focus on: Advanced Electronics Autonomy Sensors & Processing Artificial Intelligence Electronic Warfare Cyber Operations & Defense We foster a “what’s next” mentality, driving the creation of solutions that enhance situational awareness, accelerate decision-making, and improve operational efficiencies. Join our team as a Senior Principal II Software Engineer in FAST Labs Engineering As a key member of our team, you will drive the development of high-performance software leveraging the power of GPU computing. Your work will involve: Designing and implementing high-performance algorithms optimized for GPU architectures using CUDA. Developing and maintaining CUDA kernels for signal processing, image processing, and other computationally intensive tasks. Collaborating with cross-functional teams – including hardware engineers, signal processing experts, and systems architects – to define requirements and deliver innovative solutions. Designing and evaluating complex software architectures, ensuring they meet customer requirements and performance goals. Developing software applications in C++, Python, and MATLAB, integrating GPU-accelerated components with larger systems. Applying DevSecOps and CI/CD practices to ensure software quality and rapid iteration. Profiling and optimizing CUDA applications to maximize performance and efficiency. Developing software solutions that interface with hardware devices such as FPGAs, GPUs, and embedded SoCs. Developing software for RF, Radar, EO/IR, Electronic Warfare, or Software Defined Radio systems, with a focus on GPU acceleration of core algorithms. Grow Your Career with a Purpose At BAE Systems, we’re committed to helping you achieve your full potential. You’ll be part of a high-performing team dedicated to protecting those who protect us and innovating for a better future. We invest in your professional development with comprehensive training, mentorship, and opportunities for continued education. We also prioritize a healthy work-life balance and foster a collaborative and inclusive culture.

Requirements

Active Top Secret Clearance
Bachelor's Degree in computer science, computer engineering, or a related technical field
6+ years of professional software development
Expert-level proficiency in C++11 (or later) with a strong emphasis on performance optimization and parallel programming.
Expert-level experience with CUDA, including kernel development, memory management, and performance analysis.
Expert-level experience developing for and operating in a Linux Environment
Knowledge of software architectures, industry best practices, and emerging software technologies
Excellent leadership, communication, and collaboration skills
Ability to work in a fast-paced environment and adapt to changing requirements
Proven project management skills with ability to deliver high-quality software products on time

Nice To Haves

Master's Degree or PhD in computer science, computer engineering, or a related technical field
MATLAB Experience is a plus
Development experience with Python
Experience with GPU compute frameworks beyond CUDA (e.g., OpenCL)
Experience in a rapid prototype environment
Real-time, embedded, multi-threaded, low latency development and/or Linux application development
Experience with DevSecOps, Continuous Integration/Continuous Deployment (CI/CD), or automated release management
Experience with containerization (e.g. Podman/Docker) and developing software in containerized environments
Experience developing applications that cover several of: distributed, multi-threaded, real time, embedded, low latency, DSP, device control, or military systems.
Knowledge of Digital Engineering methodologies and Model-Based Systems Engineering (MBSE) practices.

Responsibilities

Designing and implementing high-performance algorithms optimized for GPU architectures using CUDA.
Developing and maintaining CUDA kernels for signal processing, image processing, and other computationally intensive tasks.
Collaborating with cross-functional teams – including hardware engineers, signal processing experts, and systems architects – to define requirements and deliver innovative solutions.
Designing and evaluating complex software architectures, ensuring they meet customer requirements and performance goals.
Developing software applications in C++, Python, and MATLAB, integrating GPU-accelerated components with larger systems.
Applying DevSecOps and CI/CD practices to ensure software quality and rapid iteration.
Profiling and optimizing CUDA applications to maximize performance and efficiency.
Developing software solutions that interface with hardware devices such as FPGAs, GPUs, and embedded SoCs.
Developing software for RF, Radar, EO/IR, Electronic Warfare, or Software Defined Radio systems, with a focus on GPU acceleration of core algorithms.