Audria is a voice-first personal computing device worn discreetly behind the ear. It is designed to be proactive, understands the user’s conversations and provides the user with context-aware personal AI assistance. We’re building something fundamentally new — a privacy-first, voice-first, intelligent system that lives on your device and adapts to you. It requires a blend of machine learning , systems programming , and iOS craftsmanship . Role : iOS Engineer Salary : 12 LPA - 24 LPA fixed (Based on experience) Location : Noida (on-site), 5 days a week Joining date : As soon as possible- July What We’re Looking For Strong iOS fundamentals , especially with Swift , SwiftUI , and modern concurrency (e.g., async/await). Deep comfort working with: AVAudioEngine, Core ML, Core Audio, and low-level iOS APIs. Deep knowledge in: Real-time, low-latency pipelines involving audio , ML inference , and system integration . Familiarity with the on-device ML ecosystem : Core ML, MLX, Metal Performance Shaders (MPS), or any iOS-compatible LLM inference libraries (like llama.cpp or whisper.cpp). Appreciation for systems-level thinking : performance, battery, memory, privacy, background execution, and constraints of mobile hardware. A self-directed builder: able to define their own roadmap, evaluate tradeoffs, and optimize for user experience without needing a spec . Nice to Have Experience working on voice-first or ambient interfaces . Past work with transformers , tokenizers , or LoRA-style adapter architectures . Knowledge of audio classification , VAD , or speech recognition , especially under constrained environments. Contributions to open-source ML or mobile infrastructure projects. Experience integrating or working with C/C++ code in iOS projects (via bridging, SPM, or other methods). The main trait we are looking for when hiring is how fast you can learn new things and execute, as this field is moving fast (Apple Intelligence Foundation Models Framework). We are looking for people who keep up with the latest research and are curious to execute on something promising and challenging.
About Audria Audria is building the voice-first, always-on AI assistant that runs locally, making it fast, proactive, and private by design. Subtle and human-centered, Audria blends advanced AI with elegant hardware to create truly ambient computing. As an early team member, you’ll help shape not just our product but the future of personal AI, with opportunities to grow into leadership as we scale. Responsibilities Design and develop firmware for low-power, real-time voice interaction. Implement and fine-tune Bluetooth LE and BLE Audio for seamless communication. Design and validate PCB hardware integration with firmware. Apply system thinking to integrate hardware, and software into a cohesive product. Debug and validate firmware using JTAG, oscilloscopes, and logic analyzers. Optimize system performance for power, memory, and latency. Collaborate closely with industrial designers on product integration. Document architecture, research and maintain Git repositories Grow into a leadership role by mentoring junior engineers and shaping future hardware teams. Hard Skills Embedded Systems: C/C++, Zephyr RTOS, FreeRTOS, ESP-IDF. (not limited to) On-device AI integration and optimization (keyword spotting, wake word detection, real-time inference). MCU platforms: nRF52, nRF53, nRF54, ESP32, STM32 Wireless communication: Bluetooth LE, BLE Audio. DSP pipelines: PDM/I2S microphones, beamforming, noise reduction. PCB design fundamentals (schematic + layout). Debugging: JTAG, SWD, oscilloscopes, logic analyzers. Git / CI/CD, robust documentation. Soft Skills Strong system thinking across hardware + firmware + design. Ownership mindset in a fast-moving startup environment. Excellent collaboration and clear communication. Enthusiastic about privacy-first AI and ambient computing.
About Audria Audria is building the voice-first, always-on AI assistant that runs locally, making it fast, proactive, and private by design. Subtle and human-centered, Audria blends advanced AI with elegant hardware to create truly ambient computing. As an early team member, you’ll help shape not just our product but the future of personal AI, with opportunities to grow into leadership as we scale. Responsibilities Lead end-to-end product development from ideation to manufacturable product. Define product form factor, ergonomics, and aesthetics. Create high-fidelity CAD, renders, and animations for design validation and external communication. Build and iterate prototypes using resin 3D printing to validate ergonomics, usability, and CMF. Conduct research and competitive analysis of usability, CMF, and feature direction. Apply DFM/DFAM principles, draft angle analysis, and tooling considerations. Work directly with vendors and manufacturers to bring concepts into production. Develop embedded firmware in C/C++ (Zephyr, FreeRTOS, ESP-IDF (not limited to)) optimized for low-power pipelines. Design and validate PCB hardware integration with firmware. Implement and tune Bluetooth LE/BLE Audio for seamless communication. Build DSP pipelines: PDM/I2S microphones, beamforming, noise reduction. Debug and validate with JTAG, SWD, oscilloscopes, and logic analyzers. Act as a bridge across firmware, hardware, industrial design, and manufacturing. Shape long-term hardware + design strategy as the company scales. Hard Skills Embedded Systems: C/C++, Zephyr RTOS, FreeRTOS, ESP-IDF. Wireless communication: Bluetooth LE, BLE Audio. DSP: PDM/I2S microphones, beamforming, noise reduction. On-device / Edge AI integration (keyword spotting, inference). PCB design: schematic review + layout. CAD: Rhino, SolidWorks, Fusion 360 (NURBS surface modeling). Rendering: KeyShot, Cinema4D. Prototyping: Resin 3D printing (Cura, PEO Poly). Manufacturing: CMF, DFM/DFAM, draft angle analysis, vendor collaboration. Research: market & competitive benchmarking. Debugging: JTAG, SWD, oscilloscopes, logic analyzers. Git / CI/CD and documentation. Soft Skills System thinking—bridging design, electronics, and AI into one cohesive product. Strong visual storytelling & communication across disciplines. Balance of creativity and engineering feasibility. Problem-solving with practical ingenuity. Ownership mindset in a fast-paced startup.