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Real-Time Embedded Software Engineer

CMU AI · Pittsburgh, PA

Research instituteonsitesenior
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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
More about CMU AI →
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