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.
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- September 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 a voice-first ambient intelligence system designed to disappear behind your ear and work quietly in the background. It listens to real-world context and helps you proactively- without prompts or commands. All computation happens locally on your iPhone, ensuring your data never leaves your device. We’re building a system that understands you naturally and acts when needed, not only when asked. If this resonates, you’ll find this to be the most meaningful engineering challenge of your life. We’re looking for someone who deeply believes in this idea, sees how it can redefine human-computer interaction, and is ready to build through uncertainty and complexity with a deep-tech mindset. Compensation: A highly competitive salary with a significant portion of the option pool. What this role means: You’ll be the first lead engineer at Audria. You’ll build things from the ground up, work alongside the current engineers, lead by example, and set high bars for technical quality and code reviews. The scope of your role will be wide and will include everything engineering and research. Experience Minimum 3 years of deep, relevant engineering experience. Proven ability to solve complex problems with patience and precision. Urgency and agility to iterate fast based on real-world feedback. Ideal background Ex-Founder / CTO of an AI-first startup. Ex-Founding Lead Engineer of an AI-first startup. Deep specialization in relevant areas through PhD or equivalent industry work. Expertise we value Edge AI: optimizing small language models for specific hardware, understanding low-level and middleware layers. Apple & iOS: from app architecture to CoreML/ANE-level optimization. ASR systems: Bluetooth audio streaming, speech-to-text, speaker diarization, identification. LLM internals: architecture, caching, attention optimization, memory management and efficient token streaming. Advanced memory systems and context engineering. Agentic AI systems and orchestration. Building scalable, high-performance systems. System security and privacy. Leading and mentoring engineering teams. Bonus: experience with low-power Bluetooth hardware and firmware. Proven record of research and development that pushes technical boundaries. Note: This is an on-site role in Noida. We work together from the office 5 days a week maintaining high productivity.
Minimum 3 years of relevant experience is required. Location: Noida (On-site, 5 days/week) Start: Immediate - within 30 days. About Audria Audria is building the next generation of personal computing; a discreet, always-available AI device worn behind the ear. It understands your real-world context and helps you proactively, in real time. We’re a small, fast team working on a hard technical problem: seamless, low-friction voice interaction through a dedicated hardware device paired with an iPhone app. This role is foundational ; you will be responsible for building the iOS layer that ties together Bluetooth audio, artificial intelligence, and a premium user experience. This is not a typical app-engineering job. You’ll be building a zero-to-one product , owning everything from architecture to polish. What You’ll Own Build the first production version of Audria’s iOS app end-to-end. Implement and optimize Bluetooth LE / classic Bluetooth communication with our hardware device. Build robust audio pipelines using AVAudioEngine , real-time audio capture, streaming, buffering, and processing. Design, build, and ship a world-class UI that looks premium, smooth, and trustworthy. Own the iOS architecture: performance, reliability, permissions, background execution, power usage, and security. Move fast: prototype, test, break, refine, ship. What We’re Looking For Strong iOS fundamentals ; Swift, SwiftUI/UIKit, async/await, system frameworks. You’ve built and shipped iOS apps from scratch (zero-to-one), ideally more than one. Deep experience with: Bluetooth (CoreBluetooth, BLE, audio profiles) Real-time audio (AVAudioEngine, Core Audio) Background execution modes & audio session management High-performance networking & streaming Strong sense of product quality ; animations, interactions, UI polish, user experience. Comfort working close to the system: performance tuning, memory profiling, concurrency, error handling. You work independently, make trade-offs quickly, and execute without waiting for perfect specs. Nice to Have Experience with voice interfaces , or ambient computing. Strong taste in product, UI, and consumer experience. Experience integrating lower-level C/C++ libraries into Swift. Experience working in a hardware + software product environment. Why Audria You’ll be the founding iOS engineer ; shaping the product, the architecture, and the engineering culture. You’ll work closely with the founder on a highly ambitious consumer-tech problem involving hardware, AI, and real-time interaction. If you want to build something that has never existed before, this is it.