FAST Labs - Senior Principal II Software Engineer - C++ CUDA ($25K Sign-on Bonus)

Job Description 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.

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.

Work Environment This role requires 100% on-site work at a BAE Systems facility due to the need for consistent, in-person collaboration and secure access to sensitive information. Occasional domestic travel may be required to support integration and test events. -KS1

Current BAE Systems employees are ineligible for sign-on bonuses.

- 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

- 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.