Autonomous Driving Software Engineer

Embedded Software Engineer IV – AI ApplicationsSalt Lake City Region (hybrid/onsite)Target Start Date : ASAPContract-to-Hire (Direct Hire possible)Pay Rate: $70.00-$85.00/hr ($150-$175K) OverviewOur 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.ResponsibilitiesDeploy 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.RequirementsBachelor'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 TensorRT, ONNX Runtime, OpenVINO, or TensorFlow 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.