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