Signal Processing Software Engineer I — Onsite

Raytheon; Marlborough (MA); On-site; USD 57,000 - 109,000; Full time

Benefits offered by this job

Relocation Eligibility

Job summary

RTX is seeking a Software Engineer to join the Receiver Exciter and Processing Architecture Department in Marlborough, MA. The role focuses on designing, architecting, and implementing signal processing algorithms for high-performance platforms including CPUs, FPGAs, and GPUs for next-generation radar systems.

Responsibilities include system integration, coding in C++ for embedded/RT applications, defect resolution, and collaborative work with cross-disciplinary teams.

Qualifications

• Bachelors degree in Electrical Engineering or related STEM major.
• C++ software development experience.
• Experience using Linux.

Responsibilities

• Perform system integration activities on distributed heterogeneous signal processing systems running Linux.
• Code, test, and integrate C++ embedded and/or real-time signal processing algorithms or control functions.
• Defect resolution and code maintenance/updating of existing codebases.
• Analyze numerical accuracy, runtime latency, and other system metrics.
• Collaborate with systems, hardware, and other software engineers to understand and implement end-user requirements.
• Maintain high code quality by supporting code reviews, static analysis, continuous integration.

Skills

C++ software development

Linux

Education

Bachelor's degree in Electrical Engineering or STEM

Tools

Git

CMake

GoogleTest

GDB

Profilers

Jira

Jenkins

UML

Job description

RTX is seeking a Software Engineer to join the Receiver Exciter and Processing Architecture Department in Marlborough, MA. The role focuses on designing, architecting, and implementing signal processing algorithms for high-performance platforms including CPUs, FPGAs, and GPUs for next-generation radar systems.

Responsibilities include system integration, coding in C++ for embedded/RT applications, defect resolution, and collaborative work with cross-disciplinary teams.