Staff Edge Software Architect

ABOUT THE TEAM

The Anduril Battlespace Awareness Radar team develops innovative and differentiated radar solutions to tackle national security challenges for America and its allies. We are looking for highly collaborative engineers that will bring significant expertise, experience and energy to the team's endeavors.  

ABOUT THE JOB

Anduril seeking a skilled and experienced Edge Software Architect to play a key role in designing and implementing software for our next-generation radar systems. This role is critical for building a robust, high-performance, and secure software platform for targeting heterogeneous processors embedded in our radar products. The ideal candidate has a strong background in modern software design patterns, embedded software, with deep expertise in optimizing performance on heterogeneous computing architectures and designing reusable software components for a variety of applications.

WHAT YOU WILL DO

• 12 + years of experience and a Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
• Architect and design software frameworks and components for embedded radar systems, ensuring high standards for maintainability, testability, reliability, and security.
• Contribute to the implementation of software across a heterogeneous computing environment that includes Nvidia Jetson SoCs (e.g., Orin AGX), Intel Agilex FPGAs, and ARM CPU architectures.
• Develop a scalable software platform with well-defined APIs enabling reusable building blocks that can be adapted for various radar products and applications.
• Define and document internal APIs for component-to-component communication and external APIs for easy integration with third-party consumers.
• Conduct system-level performance analysis and optimization, focusing on low-latency and high-throughput data processing on the edge.
• Advise on software development best practices, including coding standards, design patterns, version control, and continuous integration/continuous deployment (CI/CD).
• Collaborate with cross-functional teams, including hardware engineers, algorithm specialists, and product managers, to align software architecture with overall system requirements.
• Provide guidance to software developers and engineers on design principles, architectural patterns, and secure coding practices.
• Research and evaluate emerging technologies and industry trends in edge computing, embedded systems, and radar signal processing to drive innovation
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

REQUIRED SKILLS

• Architectural Expertise: Proven experience designing and implementing complex software systems, ideally for embedded or real-time applications.
• Heterogeneous Computing Expertise: Hands-on experience developing software for systems combining CPUs, GPUs (specifically Nvidia Jetson), and FPGAs.
• Languages: Expert in C++ and Python
• Embedded Systems Proficiency: Strong background in embedded software development, including board support packages (BSP), real-time operating systems (RTOS), and device drivers.
• API Design: Experience defining robust and clear API contracts for both internal and external consumers.
• Quality and Security Focus: Demonstrated experience with engineering practices to ensure software reliability, maintainability, testability, and security (e.g. STIGs).
• Communication Skills: Excellent communication and collaboration skills to effectively convey architectural decisions to both technical and non-technical stakeholders.

DESIRED SKILLS

• High Level Synthesis: Experience with heterogeneous programming models, including oneAPI and SYCL for targeting multiple types of accelerators - particularly FPGAs. 
• FPGA Programming: Experience with FPGA development, including familiarity with Hardware Description Languages (HDL) like Verilog. Familiarity with high level synthesis tools such as oneAPI/SYCL. Experience running C++ code on soft processors implemented in FPGA fabric. 
• GPU Programming: Experience using CUDA to accelerate signal and data processing on NVIDIA GPUs.
• Languages: CUDA, Verilog, SYCL, 
• Domain Knowledge: Familiarity with the radar product lifecycle and associated technologies.