Company Description We suggest you enter details here. Role Description This is a full-time remote role for a Blockchain Developer at Mercle. The Blockchain Developer will be responsible for tasks related to cryptography, back-end web development, blockchain, and software development. Qualifications Cryptography and Blockchain skills Cryptocurrency and Back-End Web Development skills Experience in building end to end systems on AWS Strong problem-solving and analytical abilities. At-least 1 year experience in the field.
Company Description Mercle is building the foundational layer of trust for the digital age with our innovative proof-of-personhood solution. In an increasingly AI-dominated online landscape, verifying unique human identity is paramount. Our hybrid system tackles this challenge head-on by combining Facial Scans with 3D liveness detection, Social Vouches through a decentralized web-of-trust, Behavioral Signals to differentiate human traits from AI mimicry, and the secure, privacy-compliant integration of Existing IDs as a supplementary tier. This modular architecture delivers over 99.9% overall accuracy, ensures privacy via zero-knowledge proofs, and offers global scalability at costs under $0.10 per verification, empowering individuals with control over their digital identity and fostering a more trustworthy online ecosystem. Role Description As Mechanical Design Engineer, you will own the industrial and enclosure design of our biometric scanner. You’ll translate system requirements into manufacturable CAD models, prototype fittings, and work closely with electronics, firmware, and industrial partners to ensure a robust, user-friendly device. Qualifications Expertise in Hardware Development and Hardware Engineering Proficiency in Circuit Design and Electronics Hardware Design Strong understanding of Computer Hardware Excellent problem-solving and analytical skills Ability to work independently and collaborate with remote teams Bachelor's degree in Electrical Engineering, Computer Engineering, or related field Experience in the technology or electronics industry is a plus Key Responsibilities Enclosure & Structural DesignDevelop CAD models for the one‑way mirror housing, camera mounts, matrix display enclosure, and base assembly. Balance aesthetics, ergonomics, and manufacturability (DFM/DFX) for small‑batch production. Thermal & Material EngineeringAnalyze thermal loads from the compute module; design heat‑sinks, vents, or passive cooling features. Select materials (plastics, metals, composites) that meet strength, weight, and finish requirements. Prototyping & ValidationRapidly iterate prototypes using 3D printing, CNC machining, and hand‑assembled mockups. Conduct fit‑and‑function tests; refine tolerances, snap‑fits, and assembly methods. DFM/DFA & Supplier LiaisonPrepare drawings and BOMs for injection molding, sheet‑metal, or small‑batch machining. Coordinate with contract manufacturers and sheet‑metal shops to validate tooling and production runs. Cross‑Functional CollaborationWork with Electronics Engineers to define mounting points, connector cutouts, and cable routing. Partner with Firmware & CV teams to ensure unobstructed sensor fields of view and service access. Documentation & ComplianceProduce detailed CAD drawings, exploded‑view assemblies, and assembly guides. Support regulatory testing (safety, drop‑test) by providing mechanical test plans and design inputs. Required Qualifications Bachelor’s or Master’s in Mechanical Engineering, Industrial Design, or equivalent. 3+ years of experience in consumer‑grade hardware or medical‑device enclosure design. Proficiency with SolidWorks, Fusion360, or equivalent CAD software. Strong understanding of DFM/DFA principles for plastics and metals. Hands‑on prototyping skills (3D printing, CNC, sheet‑metal). Excellent 2D drawing skills and GD&T knowledge. Preferred Skills Experience designing one‑way‑mirror or back‑lit display enclosures. Familiarity with thermal simulation tools (CFD) or hand‑calculated thermal analysis. Background in ergonomic design and human‑factors engineering. Exposure to small‑batch manufacturing processes and vendor management. Knowledge of EMC/EMI enclosure best practices. What we offer A critical role in shaping the first global proof‑of‑personhood hardware. Lean, agile team with direct impact on product design and roadmap. Flexible remote work, regular syncs in Asia‑Bangkok timezone. Competitive salary.
Company Description Mercle is building the foundational layer of trust for the digital age with our innovative proof-of-personhood solution. In an increasingly AI-dominated online landscape, verifying unique human identity is paramount. Our hybrid system tackles this challenge head-on by combining Facial Scans with 3D liveness detection, Social Vouches through a decentralized web-of-trust, Behavioral Signals to differentiate human traits from AI mimicry, and the secure, privacy-compliant integration of Existing IDs as a supplementary tier. This modular architecture delivers over 99.9% overall accuracy, ensures privacy via zero-knowledge proofs, and offers global scalability at costs under $0.10 per verification, empowering individuals with control over their digital identity and fostering a more trustworthy online ecosystem. Role Description As our Hardware & Electronics Engineer, you will lead end‑to‑end design and development of the core electronics for Mercle’s biometric scanner. You’ll translate system requirements into robust PCB designs, select and integrate sensors and power components, and collaborate closely with mechanical, firmware, and CV engineers to deliver a production‑ready prototype. Qualifications Expertise in Hardware Development and Hardware Engineering Proficiency in Circuit Design and Electronics Hardware Design Strong understanding of Computer Hardware Excellent problem-solving and analytical skills Ability to work independently and collaborate with remote teams Bachelor's degree in Electrical Engineering, Computer Engineering, or related field Experience in the technology or electronics industry is a plus Key Responsibilities Electronic System Architecture Define block‑level schematics covering power distribution, sensor interfaces (RGB & depth cameras), lighting control, and communications (USB, Ethernet, Wi‑Fi). Collaborate on system‑level trade‑offs: cost, size, thermal budget, and EMI/EMC compliance. PCB Design & Layout Create multi‑layer PCB designs using Altium or KiCad, ensuring signal integrity for high‑speed camera interfaces and power rails. Route differential pairs (e.g., MIPI CSI), manage ground planes, and implement design‑for‑manufacturability (DFM) best practices. Component Selection & Procurement Choose sensors, power regulators, connectors, and other BOM items based on performance, availability, and cost targets. Work with vendors to source components, evaluate samples, and mitigate supply‑chain risks. Prototype Assembly & Testing Oversee board fabrication, assembly, and bring‑up on development kits (e.g., NVIDIA Jetson Dev Kit). Develop test fixtures and harnesses to validate signal integrity, power sequencing, and peripheral communications. Cross‑Functional Collaboration Partner with Mechanical Engineers on enclosure interfaces (connector cutouts, thermal paths). Coordinate with Firmware Engineers to define device‑tree entries, power sequencing, and over‑the‑air update mechanisms. Support Computer Vision team by ensuring clean camera power and clocking for reliable image capture. Regulatory & Documentation Draft and maintain hardware design documentation: schematics, PCB fabrication drawings, assembly manuals, and test procedures. Prepare for EMC/EMI testing and safety certifications (CE, FCC), engaging external labs as needed. Required Qualifications Bachelor’s or Master’s degree in Electrical/Electronics Engineering or equivalent. 3+ years of hands‑on experience designing complex PCBs, including high‑speed interfaces (MIPI, LVDS) and mixed‑signal circuits. Proficiency with Altium Designer, KiCad, or similar EDA tools. Strong understanding of power electronics: DC‑DC converters, LDOs, power sequencing, and thermal management. Experience with camera modules or sensor integration on embedded platforms (Jetson, Raspberry Pi, etc.). Familiarity with EMC/EMI principles and design techniques for compliance. Excellent debugging skills using oscilloscopes, logic analyzers, and power analyzers. Preferred Skills Prior work on consumer‑grade hardware prototypes or small‑batch production runs. Knowledge of One‑Way Mirror designs or matrix/LED display interfacing. Experience with camera driver configuration in Linux Device Tree. Exposure to hardware security best practices (secure boot, hardware root of trust). Familiarity with biometric sensor standards or previous work on liveness‑detection What we offer A key role in building the world’s first global proof‑of‑personhood network. A collaborative, mission‑driven environment with a lean, agile team. Flexible remote work, regular syncs in Asia‑Bangkok timezone. Competitive salary, equity, and token incentives. Opportunities for professional growth across hardware, firmware, and product domains.
Role Overview You will design, optimize, and deploy real-time computer vision and machine learning pipelines for a multi-sensor biometric authentication device. This includes processing high-resolution data from RGB, IR, and depth/thermal sensors, implementing robust anti-spoofing mechanisms, and integrating privacy-preserving encrypted face-matching algorithms (e.g., CKKS/FHE). The role demands expertise in embedded GPU platforms (NVIDIA Jetson series) and the ability to push models to production under strict latency and security constraints. Responsibilities Model Development & Optimization Build and fine-tune face detection, alignment, and embedding extraction models for RGB + IR + depth + thermal data. Research and implement spoof detection (e.g., texture analysis, depth cues, challenge-response). Quantize and optimize models for Jetson hardware (TensorRT, ONNX Runtime, CUDA/CuDNN). Encrypted Matching Pipeline Implement vector encryption (CKKS/FHE) for face embeddings. Develop threshold-based similarity checks in encrypted space (GPU-accelerated). Collaborate on algorithm selection (cosine similarity vs. alternatives) ensuring high precision at 95%+ thresholds. Multi-Sensor Data Fusion Synchronize and process input from multiple camera modules. Fuse thermal/IR/depth data to improve accuracy and spoof resistance. Real-Time Performance Engineering Achieve sub-second processing latency. Optimize compute graph, memory usage, and sensor I/O. Hardware Integration Work closely with embedded engineers to integrate ML pipelines into the device’s OS and BSP. R&D Stay updated on state-of-the-art in biometric security, encrypted ML, and edge AI. Prototype and test new methods for privacy-preserving identity verification. Required Skills Core ML / CV Skills Strong background in computer vision (OpenCV, PyTorch/TensorFlow). Experience with face recognition systems (e.g., ArcFace, FaceNet) and anti-spoofing. Model optimization for constrained devices (TensorRT, pruning, quantization). Embedded AI NVIDIA Jetson platform experience (Nano, Xavier, Orin). CUDA, cuDNN, GPU profiling, and performance tuning. Privacy-Preserving ML Hands-on with Fully Homomorphic Encryption (CKKS) / SMPC or related frameworks (e.g., OpenFHE, SEAL, FIDESlib). Understanding of secure enclaves and encrypted inference. Systems & Integration Comfortable working with BSP bring-up, camera sensor integration, and custom drivers. Strong Python & C++ skills for production deployment. Bonus Depth/thermal imaging experience. Knowledge of biometric standards & certification (ISO/IEC 19794-5). Background in security for identity systems. Ideal Candidate Has deployed ML models on embedded GPU hardware. Has worked on biometric authentication or high-security identity verification projects. Can own the full stack of data processing — from raw sensor input to encrypted decision output. Thrives in R&D-heavy, rapid-prototyping environments.
Location: Hyderabad Experience: 2+ years Type: Full-time Role Overview As a Blockchain Backend Engineer , you’ll be responsible for designing, building, and maintaining backend services that interact with multiple blockchains (Solana + EVMs). You’ll work with Python/FastAPI for APIs, Rust/Node for blockchain logic, and AWS for deployment and scaling. What You’ll Do Build and maintain backend services using Python + FastAPI . Write blockchain-specific modules in Rust (Solana) and Node/Python (EVM). Develop and integrate smart contracts across Solana and EVM chains . Work with Web3 libraries (ethers.js, web3.py, anchor, etc.) to handle chain interactions. Architect scalable services deployed on AWS . Collaborate with the product team to design APIs for frontend and mobile apps. Optimize performance, reliability, and cost efficiency of infrastructure. What We’re Looking For Strong backend engineering experience with Python (FastAPI preferred) . Solid understanding of Solana (Rust/Anchor) and EVM (Solidity/Node/Web3) ecosystems. Experience writing and deploying smart contracts. Proficiency with AWS (Lambda, EC2, S3, etc.) and backend infra management. Familiarity with event-driven architecture and WebSocket/real-time APIs. Problem-solving mindset, capable of working independently in a fast-paced startup. Nice to Have Knowledge of security best practices for blockchain systems. Previous experience in identity, wallets, or proof-of-personhood solutions. Contributions to open-source blockchain projects. Perks Work directly with the founding team building Mercle. Solve real technical challenges at scale. Be part of a project shaping the future of AI internet.
Role Overview: As a Blockchain Backend Engineer, your primary responsibility will be to design, develop, and maintain backend services that interface with multiple blockchains, including Solana and EVMs. You will utilize Python with FastAPI for APIs, Rust or Node.js for blockchain logic, and AWS for deployment and scalability. Key Responsibilities: - Build and manage backend services using Python and FastAPI. - Develop blockchain-specific modules in Rust for Solana and Node.js/Python for EVM chains. - Create and integrate smart contracts across Solana and EVM networks. - Utilize Web3 libraries such as ethers.js, web3.py, and anchor for chain interactions. - Architect scalable services deployed on AWS. - Collaborate with the product team to design APIs for frontend and mobile applications. - Optimize performance, reliability, and cost efficiency of the infrastructure. Qualifications Required: - Strong background in backend engineering with expertise in Python, particularly with FastAPI. - Sound knowledge of Solana (Rust/Anchor) and EVM (Solidity/Node/Web3) ecosystems. - Experience in writing and deploying smart contracts. - Proficiency in AWS services like Lambda, EC2, and S3, along with backend infra management. - Familiarity with event-driven architecture and real-time APIs using WebSocket. - Problem-solving abilities and the capacity to work independently in a dynamic startup environment. Additional Details: You will have the opportunity to work directly with the founding team of Mercle, tackling real technical challenges at scale while contributing to a project that is shaping the future of the AI internet.,