Embedded Software Engineer

• Creation and development of embedded software for advanced distributed spectral monitoring systems using modern C++17 and Rust in user space on Linux
• Working independently under general supervision, you will execute larger, moderately complex software assignments and contribute to departmental objectives
• Where appropriate, development is accelerated using AI tooling, with individual responsibility for code quality. This role is ideal for an established engineer looking to deepen their technical experience within a collaborative team
• Develop, test, and maintain embedded software using C++17 and Rust across the software development lifecycle under general supervision
• Solve general technical problems by applying prior experience and analysis of system requirements
• Recommend local adjustments or enhancements to software systems, tools, and development processes
• Implement test automation, including unit, regression, and performance tests, to ensure high software quality
• Participate in peer code and AI reviews, applying quality standards and providing construct feedback
• Communicate clear technical information to departmental team members to reach agreement on tasks and implementation details
• Provide guidance and assistance to entry-level professionals or support staff as needed

Benefits

• Flexible work models
• Paid time off
• Paid parental and family leave
• Health care benefits
• Global wellness resources
• Employee assistance programs
• Rotation programs
• Mentor relationships
• Learning and development opportunities
• Retirement benefits
• Employee bonuses
• Stock grants & employee stock purchase plans

• Clear communication skills with experience explaining technical facts and practices to internal team members
• Practical knowledge and experience programming in Rust within a Linux or embedded environment
• Solid modern C++17 (ISO/IEC 14882:2017) programming skills on Linux
• Good problem-solving ability with strong attention to software detail
• Minimum 2 years of prior relevant software development experience
• Demonstrated ability to deliver on moderately complex assignments under general supervision
• University degree in Computer Science, Electronics, or a related engineering discipline (or equivalent practical experience)
• Basic understanding or background in signal processing principles
• Experience using AI development tools to accelerate workflow while maintaining code quality
• Experience guiding or assisting junior engineers and entry-level staff
• Practical experience with Python, Docker, Git, and Linux shell scripting
• Exposure to distributed or networked systems