📍 Pittsburgh, Pennsylvania
Carnegie Mellon University develops educational programs and research initiatives in various fields, including embedded systems and software engineering. Located in Pittsburgh, Pennsylvania, it offers a range of degrees and training in technology and engineering disciplines, preparing students for careers in high-demand sectors. The university's engineering departments focus on embedded software development, systems integration, and robotics. Faculty and students work on real-world projects, often collaborating with industry partners. With a strong emphasis on research, CMU is recognized for its contributions to the field, including advancements in AI and machine learning.
Research Associate I - Robotics Institute
@ Carnegie Mellon University - School of Computer Science - Language Technologies Institute
Robotics Engineer - Robotics Institute
@ Carnegie Mellon University - School of Computer Science - Language Technologies Institute
Robotics Engineer, Mobile Manipulation - NREC
@ Carnegie Mellon University - School of Computer Science - Language Technologies Institute
Real-Time Embedded Software Engineer
@ Carnegie Mellon University - School of Computer Science - Language Technologies Institute
Assistant Embedded Software Engineer
@ Carnegie Mellon University - School of Computer Science - Language Technologies Institute
Research Associate - Robotics Institute
@ Carnegie Mellon University - School of Computer Science - Language Technologies Institute
Senior Real-Time Embedded Software Engineer
@ Carnegie Mellon University - School of Computer Science - Language Technologies Institute
Research Assistant - Robotics Institute
@ Carnegie Mellon University - School of Computer Science - Language Technologies Institute
Embedded Software Engineer - Alabama
@ Carnegie Mellon University - School of Computer Science - Language Technologies Institute
Senior Embedded Software Engineer - Utah
@ Carnegie Mellon University - School of Computer Science - Language Technologies Institute
Embedded Software Engineer - Utah
@ Carnegie Mellon University - School of Computer Science - Language Technologies Institute
Embedded Software Engineer - Florida
@ Carnegie Mellon University - School of Computer Science - Language Technologies Institute
Senior Embedded Software Engineer - Florida
@ Carnegie Mellon University - School of Computer Science - Language Technologies Institute
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Carnegie Mellon University develops educational programs and research initiatives in various fields, including embedded systems and software engineering. Located in Pittsburgh, Pennsylvania, it offers a range of degrees and training in technology and engineering disciplines, preparing students for careers in high-demand sectors. The university's engineering departments focus on embedded software development, systems integration, and robotics. Faculty and students work on real-world projects, often collaborating with industry partners. With a strong emphasis on research, CMU is recognized for its contributions to the field, including advancements in AI and machine learning.
Carnegie Mellon University - School of Computer Science - Language Technologies Institute operates in the embedded systems space with focus on Higher Education. While no positions are currently listed, embedded companies often hire in cycles tied to product launches, R&D phases, or contract milestones. Engineers interested in Carnegie Mellon University - School of Computer Science - Language Technologies Institute should monitor for openings in firmware development, hardware design, and systems architecture.
* Data represents job posting activity over the past 6 months: Oct 2025 through Mar 2026
Carnegie Mellon University - School of Computer Science - Language Technologies Institute maintains steady recruitment patterns with 1
position this month,
suggesting consistent team growth and ongoing engineering needs.
Over the past 6 months, Carnegie Mellon University - School of Computer Science - Language Technologies Institute averaged 0.8 job postings per month,
with peak hiring in Oct 2025 (2 openings).
For embedded systems roles, hiring activity typically correlates with product development cycles,
especially for firmware teams during pre-production phases and hardware engineers during prototyping.
➡️ Stable pace
Consistent hiring velocity
Oct 2025
VHDL is the most in-demand skill at Carnegie Mellon University - School of Computer Science - Language Technologies Institute,
appearing in 62% of all job listings (past and present).
This skill is important but not universal, indicating diverse technical needs across different product lines or teams.
Carnegie Mellon University - School of Computer Science - Language Technologies Institute's technology stack spans 31 distinct skills and tools,
reflecting the multifaceted nature of embedded systems development.
The broad technical diversity (31 technologies) suggests work on complex,
multi-domain projects requiring both hardware and software expertise.
Engineers joining Carnegie Mellon University - School of Computer Science - Language Technologies Institute should combine depth in key areas with adaptability. The mix of hardware skills (PCB design, schematics) and firmware expertise (RTOS, embedded C) indicates full-stack embedded development where engineers work across the hardware-software boundary. Candidates with adjacent skills (version control, testing frameworks, communication protocols) typically advance faster by contributing across the development lifecycle.
Carnegie Mellon University - School of Computer Science - Language Technologies Institute's engineering operations are concentrated in a single country across 2 locations. Multiple cities within one country often reflect regional talent pools or proximity to specific industry clusters (e.g., automotive in Detroit, semiconductors in Silicon Valley).
These employers share technical focus areas with Carnegie Mellon University - School of Computer Science - Language Technologies Institute and are actively hiring embedded engineers. Exploring multiple companies helps candidates understand market compensation, compare technical challenges, and identify the best cultural and technical fit for their career goals.
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