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Builds the high-concurrency backend that powers Hark’s multimodal AI agent, handling orchestration, streaming, and state management for real-world interactions.
Designs thermal systems for AI-powered consumer devices, balancing performance, battery life, and user comfort while collaborating with hardware and software teams.
Designs and validates hardware durability using FEA and coupled simulations to ensure AI devices withstand real-world stresses, collaborating with engineers to refine enclosures and assemblies.
Designs enclosures and mechanisms for AI-powered hardware, guiding products from concept to mass production while balancing mechanical, electrical, and industrial design constraints.
Hark, an AI company building multimodal models paired with next-generation hardware, is hiring an Embedded AI Engineer in San Jose to own the full on-device AI stack. Day to day that means building sensor data ingestion pipelines, co-designing models with the research team, and optimizing and deploying inference on embedded chips (NPUs, ARM, RISC-V) using C/C++/Rust and runtimes like TFLite and QN
About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and…
Build the core Android application that runs on Hark’s AI hardware device, bridging user experiences with embedded firmware and sensors for a production-ready robotics product.
Develops and maintains embedded firmware in C/C++ for ARM-based SoCs, integrating peripherals and optimizing power for AI-powered consumer hardware.
Lead end-to-end hardware system builds for Hark's AI consumer hardware products, from early prototypes through Proto, xVT, ramp, and mass production. You'll plan and execute builds with contract manufacturers, coordinate EE/ME/RF/thermal/reliability teams, and own materials readiness, schedules, and risk closeout.
Design and execute test plans for AI-powered hardware devices, from board bring-up to mass production, using Python automation and lab instruments.
Designs intuitive, multimodal interfaces for AI-driven hardware and software, shaping how users interact with agentic systems across web and mobile platforms.
Build real-time multimodal AI models (audio, video, vision) and integrate them into next-gen hardware for natural human-machine interaction.
Build real-time multimodal AI models (text, audio, vision) using RLHF/PPO and post-training techniques to power next-gen agentic systems and hardware.
Builds and optimizes speech and audio capabilities for multimodal AI models, focusing on ASR, TTS, and real-time systems from data pipelines to production deployment.
Build and improve multimodal AI models that understand and generate text, images, and video for real-time user experiences.
Research and develop large-scale multimodal AI pretraining systems, optimizing data pipelines and training infrastructure to advance foundation models for real-time, intuitive intelligence.
Designs and leads the embedded OS architecture for AI-first consumer electronics, shaping kernel, middleware, and platform strategy across product lines from prototype to mass production.
Hark, an AI company building multimodal intelligence paired with next-gen hardware, is hiring a Frontier UX Engineer to own user experiences end-to-end — from early prototypes to shipped features — pushing UI runtimes and platform layers to their limits alongside design, firmware, and hardware teams.
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