Real-Time Embedded Software Engineer
CMU AI · Pittsburgh, PA
Research instituteonsitesenior
At a glance
Highlights
- Work on safety-critical embedded software for government missions.
- Tackle complex system-of-systems integration and performance challenges.
- Collaborate with leading experts to solve nation's toughest software problems.
What they offer
- Comprehensive medical, prescription, dental and vision insurance
- Generous retirement savings program with employer contributions
- Tuition benefits
- Ample paid time off and observed holidays
- Life and accidental death and disability insurance
- Paid parental and military leave
- Free Pittsburgh Regional Transit bus pass
- Fitness center access
- Relocation assistance
Ideal candidate
Experienced embedded engineer passionate about safety-critical systems and mission impact. Collaborative communicator who enjoys digging across hardware-software layers and sharing knowledge to improve robustness.
Requirements
- BS in Computer Science, Electrical Engineering or related field with 8 years experience, or MS with 5 years, or PhD with 2 years
- Experience as software developer, software engineer, verification engineer or related role in collaborative team environment
- Proficiency in C, C++, VHDL, Verilog, Python or C#
- Built, analyzed, debugged and tested bare-metal systems with CMSIS/HAL/peripheral drivers
- Experience with Java, Go, Rust, Ada or MATLAB
- Experience with FPGAs and heterogeneous computing boards requiring hardware synchronization
- Exposure to modern RTOSes such as VxWorks or Integrity
- Worked with embedded interfaces and protocols including I2C, CAN, SPI, RS-232, RS-422
- Developed embedded software and performance tests and interpreted results
- Understanding of Department of War Systems Engineering lifecycle
- Strong communication skills for conveying technical challenges to stakeholders
- Able to pass background check and obtain and maintain DoW security clearance
- Willing to work 100% onsite at SEI or customer facility
- Willing to travel 25% to SEI offices, sponsor sites and conferences
- remote policy
- 100% onsite, no remote work
Lab profile
About CMU AI
Carnegie Mellon applied AI research spanning robotics, autonomy, and cybersecurity for defense.
What they build
- Multimodal behavior analysis algorithms
- Autonomy systems
- Cybersecurity analytics prototypes
Known for
- Multimodal machine learning
- Computer vision and human behavior modeling
- AI engineering for defense
- Software engineering and cyber resilience
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