Jobs at Hyphen Connect Limited

Design and integrate vision and audio models into agent reasoning loops, optimize streaming latency for voice-to-voice interactions, and architect multimodal RAG systems to retrieve insights from videos and PDFs.

Design and implement Visual-Inertial SLAM pipelines, dynamic obstacle avoidance, and predictive path planning. Optimize state-estimation and navigation algorithms for low-compute edge deployment on robotic platforms.

Develop and evaluate high-resolution tactile sensing and dexterous manipulation systems by processing tactile and force-torque data, implementing slip-detection and compliant control, training multi-fingered grasping policies, integrating solutions into robotic platforms, and conducting experiments to validate performance.

Design and implement functional safety systems for robotic products to meet ISO standards. Develop redundant safety-rated PLC architectures, implement collision-avoidance logic, and perform comprehensive FMEA on hardware and software.

Develop multimodal intent-recognition models from gaze, gesture, and voice; implement socially aware navigation respecting personal space; design robot visual and auditory UI feedback; run user studies and rapidly prototype AI-driven voice and visual interfaces.

Independent full-cycle recruiter managing sourcing, client engagement, offer negotiation, and placements using AI-driven tools. Acts as commercial advisor, provides market insights, and maintains self-directed billing and activity in a results-only, remote environment.

Technical Product Owner for DeFi products responsible for translating protocol and infrastructure complexity into clear product requirements and consumer-grade UX. Requires 3-5+ years DeFi product experience building 0-to-1 products, deep on-chain knowledge (account models, RPC/indexer reliability, cross-chain), familiarity with wallets and core DeFi scenarios, a full-stack/backend technical background, cross-functional collaboration, measurable user-growth experience, bilingual Mandarin/English, and strong smart-contract security mindset.

An expression-of-interest form collecting resumes and cover letters from candidates seeking AI or Web3 roles. Provides resume and cover letter guidelines, requests location and visa status, asks candidates to indicate target sectors and roles, and promises notification when suitable openings appear.

Design, test, and optimize electromechanical systems and motor control firmware. Specify and tune BLDC motors, harmonic drives, and gearboxes. Implement FOC firmware on microcontrollers and integrate industrial communications (EtherCAT, CAN). Collaborate with mechanical engineers on joint design and thermal management to improve efficiency and torque density.

Build and operate MLOps and agentic infrastructure: manage model registries, continuous training loops, and A/B testing; deploy agents as scalable Kubernetes microservices; and create observability dashboards tracking token usage, latency, and agent reasoning.

Call for fresh graduates and students to submit a one-page resume and a cover letter (max 500 words) to register interest in entry-level and internship roles in Web3 and AI. Applicants should state country/visa status, desired sectors and roles, and can include portfolios or personal projects to demonstrate relevant skills.

Design, orchestrate, and optimize large-scale LLM pre-training across 1,000+ GPUs. Implement 3D parallelism, manage GPU clusters (SLURM/Kubernetes), optimize InfiniBand/RDMA networking and memory, and automate checkpointing and failure recovery for long training runs.

Design and implement multi-agent pathfinding algorithms to avoid fleet deadlocks, build low-latency Robot-to-Cloud and Robot-to-Robot communication protocols, and develop cloud dashboards for fleet monitoring and teleoperation handoffs.

Design and implement high-fidelity spatial mapping and real-time object recognition pipelines. Integrate vision systems with robotic manipulation and navigation controls. Train and fine-tune Vision-Language-Action models and work with multimodal spatial AI frameworks and robotic hardware.

Design and implement advanced control algorithms for bipedal locomotion and manipulation, train RL policies in simulation, deploy on hardware, and perform sim-to-real transfer and gait/kinematics analysis.

Research, design, and train foundation models for robotics; align text-based reasoning with low-level control policies; evaluate zero-shot generalization; run experiments; integrate models into robotic systems and present findings externally.

Lead product strategy and roadmap for AI and robotics products, translating VLA and agentic RAG breakthroughs into customer value, defining safety/usability/performance metrics, working with enterprise adopters, and driving cross-functional delivery.

Run adversarial tests on language and multimodal models, build guardrails and real-time filters for autonomous tool use, and support RLHF alignment and constitutional AI development to ensure safe AI deployment.

Design and architect multi-agent orchestration frameworks, build tool-calling pipelines and reasoning loops, and optimize latency and token usage for real-time agentic workflows and autonomous operations.

Optimize, compress, and distill large language and vision models for on-device inference. Build pipelines for distillation and hardware-specific compilation, and benchmark performance across NPU/GPU architectures.