Jobs at Hyphen Connect Limited

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

Design and implement advanced control algorithms for bipedal locomotion and manipulation. Train RL policies in simulation and deploy them on physical hardware. Perform sim-to-real transfer and analyze gait and kinematics telemetry.

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

Design and integrate vision encoders and audio-native 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 while ensuring efficient cross-modal alignment.

Design, orchestrate, and optimize large-scale LLM pre-training runs across 1,000+ GPUs using PyTorch/DeepSpeed/Megatron-LM. Improve networking (InfiniBand/RDMA) and memory management, implement 3D parallelism, and automate checkpointing and failure recovery for month-long training jobs on SLURM or Kubernetes GPU clusters.

Design and optimize electromechanical systems, specify/test/tune BLDC motors, harmonic drives, and gearboxes; develop motor control firmware (FOC) in C/C++ for microcontrollers; collaborate with mechanical engineers on joint design and thermal management; integrate industrial communications (EtherCAT, CAN bus).

Develop intent-recognition models from gaze, gesture, and voice data; implement socially aware navigation algorithms respecting personal space; and design visual and auditory feedback for robot user interfaces. Conduct user studies and rapid prototype AI-driven voice and visual interaction systems to test and refine HRI paradigms.

Design and run adversarial tests on language and multimodal models, build guardrails and real-time filters for autonomous tools, and develop constitutional AI principles and RLHF alignment pipelines to ensure safe AI deployment.

Design and validate functional safety systems for robotic products to meet ISO 13849 and ISO 3691-4. Implement redundant safety-rated PLCs and collision-avoidance logic, conduct FMEA on hardware and software, and ensure rigorous systems engineering, testing, and compliance.

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

Design multi-agent pathfinding algorithms to prevent 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, and train and fine-tune Vision-Language-Action models to improve robotic automation.

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

Lead product strategy and roadmap to convert advanced AI and robotic research (VLA models, agentic RAG) into customer-facing solutions. Define safety, usability, and performance metrics, work with early enterprise adopters for feedback, and coordinate cross-functional teams to deliver complex hardware and deep-tech software products.

Lead research developing foundation models for robotics, align text reasoning with low-level control, design zero-shot generalization experiments, integrate models into robotic applications, and publish and present results at conferences.

Develop and integrate high-resolution tactile sensing and dexterous manipulation capabilities: process tactile and force-torque data, implement slip-detection and compliant control, train multi-fingered grasping policies, run experiments, and collaborate to deploy solutions on robotic platforms.

Drive institutional liquidity and TVL by sourcing, pitching, and onboarding market makers, CEX VIPs, prime brokers, and large allocators. Build strategic partnerships, structure and close liquidity incentives, and collaborate with product/tokenomics to design institutional yield strategies tied to TVL KPIs.

Lead and manage the design team to create intuitive UX for a consumer-facing Web3 dApp. Define UX strategy, improve onboarding and engagement for creators, conduct user research, collaborate cross-functionally, and integrate industry best practices.

Lead surveillance of on-chain and off-chain trading to detect market abuse. Build statistical models and heuristics, investigate flagged transactions, trace fund flows across platforms, design dashboards and reports, and collaborate with engineering to integrate and automate advanced detection tools for protocol governance.

Perform manual smart contract code reviews to identify vulnerabilities, collaborate with developers, use Slither and Foundry for analysis, document findings, and produce clear reports for technical and non-technical stakeholders while staying current on blockchain security trends.