Senior Embedded Software Engineer
Job in
Salt Lake City, Salt Lake County, Utah, 84193, USA
Listed on 2026-01-25
Listing for:
ConsultNet Technology Services and Solutions
Full Time
position Listed on 2026-01-25
Job specializations:
-
Software Development
Embedded Software Engineer, AI Engineer, Robotics, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Title:
Embedded Software Engineer IV – AI Applications
Location :
Greater Salt Lake City, Utah
Target Start Date : ASAP
* NO 3rd party C2C Please*
Our client, a leader and growing presence in the robotics and autonomous vehicles space, is seeking a senior Embedded Software Engineer to deploy and optimize AI capabilities on constrained, real-time hardware platforms supporting autonomous robotic systems. This role focuses on embedded performance, efficient compute and memory utilization, and reliable real-time operation, bridging AI model development and production-grade embedded deployment.
Responsibilities- Deploy and optimize AI/ML models on embedded and constrained hardware platforms.
- Tune compute, memory, latency, and power consumption for real-time embedded operation.
- Convert trained AI models into production-ready embedded libraries or hardware-optimized modules.
- Integrate embedded AI components with robotics, firmware, and system software.
- Optimize AI inference pipelines using hardware accelerators and ML runtimes.
- Validate and monitor AI performance on embedded platforms to ensure robustness and stability.
- Collaborate with cross-functional AI, robotics, and software teams across research and product environments.
- Continuously improve embedded AI systems through performance analysis, optimization, and updates.
- Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
- 10+ years of embedded software engineering experience, including 2–5+ years deploying AI/ML on embedded systems.
- Expert-level programming experience with C/C++ for embedded and real-time systems.
- Experience with RTOS and multithreaded embedded applications.
- Hands-on experience deploying ML inference using Tensor
RT, ONNX Runtime, OpenVINO, or Tensor Flow Lite. - Strong understanding of embedded Linux, microcontrollers, and hardware accelerators.
- Proven ability to optimize performance, memory, and power usage in constrained environments.
- Strong analytical skills and ability to deliver reliable, production-grade embedded AI solutions.
Position Requirements
10+ Years
work experience
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