SDE-II, Ring Embedded Development (Level 5), Amazon Ring

Ring organizations mission is Keeping people close to whats important. We innovate rapidly on behalf of our customers and deliver ambiguous and ambitious technical products.

As an Embedded Software Engineer Ring you will engage with an experienced cross-disciplinary team across multiple product line & platforms to conceive architect and design innovative consumer & SME products. Vertically your ownership can span across application device framework platform network stack Over the Air updates (OTA) protocols Set-up drivers Operating Systems/ bare metal and low-level wireless controllers. You will determine when and how to integrate generative artificial intelligence (GenAI) tools evaluate and refine GenAI outputs and apply responsible AI practices to augment productivity and quality. Horizontally you will be given to opportunity to work and own firmware and platform across all Ring device categories. Beyond technical skills you have a strategic mindset with the ability to foresee long-term implications of architectural decisions able to anticipate future trends in technology and adapt the system architecture accordingly.
You will work closely with the Engineering leaders from cross functional teams product management hardware Technical Program managers operations application firmware platform and quality assurance teams. You must be responsive flexible and able to succeed within an open and collaborative peer environment. The Ring Platform team is responsible for the complete device side software for Ring devices. This includes delivery and maintenance of an evolving feature rich high-performance low-power stable platform.


Key job responsibilities
Work with cross functional teams to provide technical solutions for desired user experiences.
Implement high-quality Core Platform framework network stack and application features.
Knowledge of professional software engineering practices & best practices for the full software development life cycle including coding standards code reviews source control management build processes testing and operations
Implement the right metrics debug tools and integrate with backend solutions to continuously measure and improve on our solutions.
Implement power management features resolve thermal issues & performance bottlenecks in resource (CPU Memory) constrained Platforms and devices.
Work with teams to improve and tailor existing firmware drivers stack and applications to our needs. Improve memory footprint optimize drive stack and application code.
Work with the hardware team to ensure correct exercising of hardware and RF architecture.
Support compliance and certification activities.
Evaluates tasks to determine when GenAI tools can add value compared to traditional approaches
Systematically validates GenAI outputs through fact-checking and cross-referencing before implementation


A day in the life
Your work is very hands-on and multi-disciplinary. You will be defining and building firmware platform and network solutions and work closely with vendors engineers and product teams. You write documents carry out experiments demonstrate proof-of-concepts build prototypes and ship sophisticated systems. Experiments with GenAI capabilities in structured ways to expand skills and identify new ways to improve work. Combines GenAI assistance with human expertise and judgment to enhance rather than replace critical thinking.

About the team
Ring offers smart security solutions that are dependable and reliable to make neighborhoods safer. You will be part of a fast-paced team that is passionate about delivering innovative solutions to complex problems with foundational GenAI tools techniques and mechanisms.

- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Comprehensive understanding of microcontroller and microprocessor architectures (E.g. ARM Cortex RISC-V) allowing the architect to make informed decisions about hardware software partitioning.
- Expertise in hardware-software co-design ensuring that software is optimized for the hardware it runs on and that hardware choices are made with software requirements in mind.
- Expertise in optimizing software for performance memory foot print thermal power consumption critical for embedded systems and resource constraints.
- Proficient in understanding the budget constraints (CPU RAM FLASH I/O etc.) and designing the firmware & software for multi-SoC systems to exceed the performance.
- Strong and proven ability to perform risk management and trade-off analysis balancing factors like cost performance power consumption thermals and development time to arrive at the optimal system design.
- Proven track record of strong collaboration skills with the ability to work effectively with cross-functional teams (hardware/ Software engineers product managers project/program managers Quality Assurance teams Factory Compliance etc.) and articulate complex technical concepts/ solutions to both technical and non-technical stakeholders.
- Deep understanding of power management techniques including dynamic power scaling sleep modes and energy efficient software design crucial for battery operated and/or energy harvesting systems (E.g. Solar panel etc.).
- Proficiency in integration various components (hardware software 3P modules) into a cohesive system ensuring compatibility and optimal performance.
- Proficient in cross-platform development in designing & maintaining software architectures that are portable across different hardware platforms ensuring that the system can be scaled or adapted to new products.
- Proficiency in designing the overall system architecture including defining software and hardware interfaces selecting appropriate technologies and ensuring all Non-Functional Requirements (NFRs) - performance Security Reliability Scalability Maintainability and Automation of new and existing systems experience.
- Advanced knowledge of embedded system security including secure boot encryption authentication and intrusion detection to design systems that protect against vulnerabilities proficient in thread modeling & security certification.
- Proactively explores emerging GenAI tools and agent-based systems to stay current with new developments. Develops implements and sustains systematic data-driven approaches for measuring GenAI effectiveness. Designs GenAI implementations with consideration for scalability change management and long-term adoption
- Strong foundation in embedded software development with a focus on Languages like Embedded C Assembly C and guiding the platform teams to make informed decisions about low level software implementations.
- Proficient in Real Time Embedded System domain and 16/32-bit Micro-controllers/ SoCs based firmware/ Software design & development for deterministic behavior.
- Working knowledge with RTOS (FreeRTOS VxWorks and Embedded Linux) with understanding on kernel internals and multi-threaded programming.
- Proven track record of troubleshooting issues using debuggers/ emulators/ loggers identifying the root cause and resolving development/ Quality Assurance/ Trials and Field issues.
- Experience in day-2-day usage and management of SDLC including Agile methodologies build & cross compilation tools - SCM with Pre-CI/CI/CD pipelines.
- Experience as a Leader mentor problem expert technical solution architect who plays a key role in guiding and supporting the development team throughout the product life cycle and during sustenance

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
- Deep hands-on experience in event driven bare metal and real time operating systems (RTOS) based firmware design and platform development.
- Proficiency with tools like MATLAB/ Simulink for model-based design simulation and auto-code generation allowing for early verification and validation of system behaviors.
- Deep knowledge and understanding of Board Schematics Sensors (ALS PIR Radar Cameras) Peripherals with communication protocols (UART SPI I2C SDIO Ethernet) networking standards (TCP/UDP IPv4/IPv6 MQTT) device/peripheral drivers and customizations for efficient data communication pathways between embedded systems and to the Cloud .
- Practical Knowledge & customization experience on low level BSP Device Drivers and HAL.
- Integration & customization experience in RTOS/Linux (including kernel configuration)/BSP frameworks middleware Frameworks (OTA) device drivers user-space applications and WiFi/Bluetooth Network Stacks from open source and/or semiconductor vendors.
- Familiarity with integrating ML models and AI algorithms into embedded systems especially for tasks like sensors data analysis image recognition and/or predictive maintenance.
- Understanding of industry-specific standards and regulatory requirements (E.g FCC ETSI UL ISO etc.) to ensure that the system meets all necessary certifications and safety requirements
- Multimedia & Streaming Framework knowledge (Audio/Video subsystem DMIC Speaker Codecs) along with DSP techniques to design effective signal processing pipelines will be a plus.

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