Software Build Engineer (SDK & Infrastructure)

Company: Sensory Inc. Location: Remote (US or Non-US Based) About Sensory At Sensory, we are pioneers in embedded AI, wake words, speech-to-text, and on-device biometric technologies. We build solutions that make consumer products smarter, safer, and more human—without sacrificing privacy. Operating at the intersection of deep learning and edge computing, our technologies power billions of devices globally. We move at the speed of AI, creating the foundational infrastructure that allows our advanced speech models to deploy flawlessly across diverse hardware environments. The Role We are seeking a highly skilled Software Build Engineer to take ownership of our core SDK architecture and release pipelines. In this role, you will be the linchpin between our AI research/development teams and the final product, ensuring that our cutting-edge voice technologies are packaged, tested, and delivered with absolute reliability. You will focus heavily on engineering trunk-style SDKs, designing robust APIs, and automating the complex process of merging rapid open-source software (OSS) updates with our proprietary code. This isn't a traditional software engineering role. We expect you to natively integrate Agentic AI into your daily development cycle. You will leverage tools like Claude Code, Cursor, and AWS Bedrock to accelerate your coding, and harness LLMs to pioneer new methods for synthetic data generation and automated data validation. Ultimately, you will be responsible for building the reliable, scalable infrastructure developed by Sensory researchers. If you excel at eliminating bottlenecks, refactoring for extreme efficiency, and building automation tools that empower entire engineering orgs—while keeping an eye on how competitors deliver their toolchains—we want you shaping our infrastructure. Key Responsibilities Trunk-Style SDK Engineering: Architect, develop, and maintain trunk-based SDKs, ensuring seamless, scalable deployment across multiple platforms and customer environments. API Development: Design, build, and maintain clean, stable, and backward-compatible SDK APIs that developers love to use. Advanced CI/CD Pipelines: Build and oversee sophisticated CI/CD build pipelines. Specifically, engineer automated workflows that safely and efficiently merge upstream open-source software updates with our internal, proprietary codebases. Agentic Development: Actively utilize AI-assisted coding and agentic workflows (Claude Code, Cursor, AWS Bedrock) to accelerate software engineering, optimize low-level code, and streamline unit testing and debugging. Synthetic Data Pipelines: Leverage Large Language Models (LLMs) to generate high-quality synthetic text and speech data. Establish rigorous, automated methodologies for data checking, curation, and validation. Backend Automation: Develop powerful automation tools for backend systems to streamline testing, integration, and release workflows. Refactoring & Optimization: Continuously audit, engineer, and refactor existing software infrastructure to maximize operational efficiency, reliability, and build speeds. Industry Awareness: Monitor the SDK and deployment strategies of industry peers to ensure Sensory’s delivery mechanisms remain best-in-class. Critical Knowledge & Qualifications Education: A Bachelor’s or Master’s degree in Computer Science (or a closely related technical field). Experience: 2 to 8 years of post-college industry experience in software engineering, release engineering, or DevOps. AI-Native Workflow: Demonstrated experience and high comfort level using Agentic AI tools (e.g., Claude Code, Cursor, Bedrock) to write and optimize code. LLM Data Generation: Practical experience leveraging LLMs for synthetic data generation and building robust data-checking heuristics. SDK & API Mastery: Deep understanding of trunk-based development, SDK packaging, and API lifecycle management. CI/CD Expertise: Proven hands-on experience building and maintaining complex deployment pipelines (e.g., Jenkins, GitHub Actions, GitLab CI) and managing version control at scale (Git). OSS Integration: Experience managing the dependencies and automated integration of open-source software into commercial products. Core Coding Skills: Strong programming and scripting skills (e.g., Python, Bash, C++, Java, or similar) required to build automation tools and refactor backend systems.