2643 Software Integration Engineer jobs in San Diego,CA

The salary range for this role is 75,800 USD - 144,200 USD.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement.

Relocation, if eligible

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays.

Active and transferable U.S. government issued security clearance is required prior to start date.

U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date

Master's degree in Software Engineering, Computer Engineering, Computer Science, or related Science, Technology, Engineering or Mathematics (STEM) major obtained by start date.

Experience developing, building, or debugging software applications utilizing C, C++, or another object-oriented programming language.

Experience with hardware-software integration, embedded system testing, or bench-level software debugging.

Experience developing software using object-oriented principles and the practical application of common data structures and algorithms.

Experience with embedded real-time operating systems (RTOS such as FreeRTOS, VxWorks, or embedded Linux) or device driver development.

Hands-on experience developing low-level code for microcontrollers, microprocessors, or development boards (e.g., ARM, Arduino, Raspberry Pi).

Knowledge of systems software design, operating system architectures, and assembly language.

Experience utilizing modeling tools, simulation environments, or scripting languages (such as MATLAB/Simulink, Python, or LabVIEW).

Familiarity with hardware-in-the-loop (HIL) simulation or FPGA design using VHDL or Verilog.

Familiarity with modern software development workflows, version control (such as Git), and Agile methodologies.

Exposure to machine learning frameworks (e.g., PyTorch, TensorFlow) or scientific data processing tools (NumPy, Pandas).

Experience creating formal technical documentation, such as architecture diagrams, interface control documents, or API specifications.

Previous internship or research experience in aerospace, defense, or high-reliability embedded software engineering.