Senior Embedded Software Engineer (AI/ML, Firmware & Systems Engineering)

Job Title: Senior Embedded Software Engineer (AI/ML, Firmware \& Systems Engineering) **Location:** USA (Remote / Hybrid / Onsite) **Employment Type:** Full\-Time / Contract **Experience Required:** 10\+ Years **Domain:** Embedded Systems, Edge AI/ML, Firmware Development, IoT, Automotive, Robotics, Semiconductor, Consumer Electronics Position Summary We are seeking a highly experienced **Senior Embedded Software Engineer** with expertise in AI/ML, firmware development, and systems engineering to design, develop, and optimize next\-generation intelligent embedded platforms. The ideal candidate will lead the architecture and implementation of embedded software solutions that integrate real\-time processing, edge AI capabilities, secure connectivity, and hardware\-software co\-design across a variety of embedded and connected devices. This role requires strong experience in embedded product development, system architecture, firmware engineering, edge computing, and cross\-functional collaboration to deliver scalable, reliable, and high\-performance solutions from concept through production deployment. Key Responsibilities * Design, develop, and maintain embedded software and firmware for intelligent connected devices and embedded platforms. * Lead end\-to\-end software architecture, design reviews, technical planning, and implementation efforts for embedded products. * Develop scalable solutions supporting edge AI workloads, real\-time data processing, and autonomous decision\-making capabilities. * Collaborate with hardware, machine learning, cloud, security, and product engineering teams throughout the product lifecycle. * Drive board bring\-up activities, hardware validation, and system\-level integration for new platforms and product releases. * Architect and optimize embedded systems for performance, power efficiency, reliability, scalability, and maintainability. * Implement and support secure firmware deployment, device management, and over\-the\-air (OTA) update strategies. * Develop software solutions supporting sensor integration, edge analytics, computer vision, predictive maintenance, and intelligent automation. * Participate in requirements analysis, technical specifications, system design documentation, and architecture governance activities. * Troubleshoot complex system\-level issues involving firmware, hardware interfaces, networking, and device communication. * Perform root cause analysis and resolution of field\-reported issues across development, testing, and production environments. * Support cloud\-connected device ecosystems, telemetry platforms, and remote device monitoring solutions. * Ensure compliance with cybersecurity, safety, regulatory, and quality standards applicable to embedded products. * Lead system integration, validation, verification, and performance testing initiatives. * Mentor junior engineers and provide technical leadership across engineering teams. * Drive engineering best practices, code quality standards, documentation, and continuous improvement initiatives. * Collaborate with stakeholders to evaluate emerging technologies and recommend innovative solutions for future product development. * Support Agile development processes, release planning, sprint execution, and technical project delivery. * Contribute to strategic technology roadmaps and long\-term embedded platform modernization efforts. Required Qualifications * Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, Embedded Systems, Robotics, Artificial Intelligence, or a related technical field. * 10\+ years of professional experience in Embedded Software Development, Firmware Engineering, or Systems Engineering. * Proven experience delivering commercial embedded products from concept through production deployment. * Strong background in embedded architecture, system design, firmware development, and hardware\-software integration. * Experience working with edge computing, AI\-enabled devices, or intelligent embedded systems. * Demonstrated ability to lead technical initiatives and collaborate across multidisciplinary engineering teams. * Strong understanding of system performance optimization, reliability engineering, and software quality practices. * Experience working within Agile, Scrum, or other modern software development methodologies. * Excellent analytical, troubleshooting, communication, and leadership skills. Good to Have * Experience with Edge AI, Machine Learning, Deep Learning, or Computer Vision applications. * Background in Automotive, Autonomous Systems, Robotics, Aerospace, Medical Devices, or Industrial Automation. * Experience supporting connected IoT ecosystems and large\-scale device deployments. * Knowledge of Functional Safety, Secure Software Development, and Cybersecurity best practices. * Exposure to cloud\-connected embedded systems and edge\-to\-cloud architectures. * Experience working with semiconductor, chipset, or embedded hardware manufacturers. * Familiarity with autonomous technologies, intelligent sensing platforms, or digital twin solutions. * Experience contributing to architecture governance, technical strategy, or engineering leadership initiatives. * Relevant industry certifications in Embedded Systems, Cloud Technologies, AI/ML, Cybersecurity, or Systems Engineering. * Experience working in highly regulated environments requiring compliance, validation, and certification processes. Preferred Industry Experience * Automotive \& Autonomous Vehicles * Semiconductor \& Chip Design * Robotics \& Intelligent Automation * Aerospace \& Defense * Medical Devices * Industrial IoT * Consumer Electronics * Smart Manufacturing * Telecommunications \& Edge Computing * Energy \& Smart Infrastructure Pay: $140,131\.91 \- $175,718\.00 per year Work Location: In person