Software Engineer I (On-Site)

RTX•McKinney, TX

6d•$57,200 - $108,800•Onsite

About The Position

Raytheon is seeking an entry-level Embedded Software Engineer (P1) to support development of Linux-based compute platforms and mission-critical processing systems used in advanced sensing and EO/IR programs. This role is designed for engineers beginning their professional careers who are eager to build foundational skills in embedded software, compute-pipeline development, and platform integration within a structured, mentorship-driven engineering environment.

Requirements

Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM).
Foundational proficiency in at least one systems-level programming language (C, C++, or Rust).
Experience developing software in Linux environments.
Exposure to Agile methodologies or modern software development practices.
The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Nice To Haves

Experience using Docker or Podman.
Familiarity with real-time, platform, or low-level systems concepts.
Exposure to Linux security concepts or configuration practices.
Familiarity with software build tools such as CMake or Conan.
Experience with GPU programming concepts (CUDA) or accelerated computing from coursework or personal projects.
Hands-on experience working with embedded Linux boards in labs or coursework.
Exposure to kernel concepts, device trees, or bootloaders.
Familiarity with common I/O interfaces.

Responsibilities

Contribute to development of software components providing core compute-platform services such as data transport, scheduling, and processing orchestration.
Assist in implementing frameworks that support scalable, high-throughput, low-latency processing pipelines under guidance from senior engineers.
Support documentation of platform interfaces, APIs, and data flows with direction from experienced team members.
Integrate software across Linux-based compute nodes and heterogeneous processing environments.
Participate in configuring Linux OS environments and containerized runtime systems to support deployment and operation.
Engage in Agile development activities and contribute to CI/CD pipeline operations.
Assist with basic performance profiling and optimization tasks related to compute workloads.
Help troubleshoot issues in multiprocess or distributed compute environments with support from senior engineers.
Support improvements to platform tools, workflows, and development practices.