Embedded Software Architect

What you will do:

• Analyze customer use cases and signal processing algorithms to generate clear, actionable system and software requirements for embedded platforms
• Evaluate and recommend computational architectures (CPU, DSP, FPGA, or hybrid) best suited to mission needs, balancing system complexity, performance, and resource constraints
• Architect, design, and implement embedded software at the middleware or application level, with a focus on resource-efficiency and high reliability
• Optimize and port software to maximize performance on computationally limited SoCs; proficiently devise functional splits between processor and FPGA
• Collaborate with spacecraft/satellite integrators and internal stakeholders to translate mission objectives into robust technical specifications
• Provide mentoring, code reviews, and technical guidance to less-experienced team members
• Who you are:
• Ability to obtain a security clearance, for which U.S. citizenship is required by the U.S. Government
• Bachelor’s, Master’s, or Ph.D. degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
• BS with 7+ years’ experience in embedded software development for resource-constrained systems (such as CPU/DSP/FPGA SoCs). Equivalent experience will be considered.
• Proficient in C/C++ for embedded systems; familiarity with MATLAB and RTOS environments a plus
• Strong foundation in signal processing algorithms and their computational/resource implications
• Demonstrated ability to derive system/software architecture from high-level algorithm analysis and mission requirements
• Experience with partitioning solutions between processors and programmable logic (e.g., FPGA)
• Proven ability to work effectively with customers and cross-disciplinary teams to translate concepts into specifications and implementations
• Strong communication skills and experience mentoring or guiding junior engineers
• Experience with DevOps practices and tools to support efficient, reliable software development and deployment workflows
• Agile software lifecycle methodologies and tools, such as JIRA, Confluence, Gitlab, static analysis, etc