FullStack Member of Technical Staff II

We are seeking multiple highly skilled Full-Stack members of Technical Staff (MTS) to join our CoreAI organization, driving end-to-end development of AI systems across Cloud, Edge Devices, Mission Critical and Robotics platforms. This role goes beyond pure research. You will operate across the full stack, from data, models, and infrastructure to system integration and production deployment, to deliver scalable, real-world AI solutions. You will work on cutting-edge applications spanning computer vision, NLU, multimodal AI (MLLMs), and GenAI, enabling intelligent perception, reasoning, and action in mission-critical environments.

Responsibilities

Own end-to-end system development across data pipelines, model development, evaluation, and deployment for AI-powered products; Design and build scalable, production-grade systems for real-time perception, multimodal understanding, and decision-making; Develop and deploy models across cloud and edge environments, including resource-constrained devices; Architect and optimize full-stack AI pipelines, including: Data collection, curation, and labeling strategies; Training, fine-tuning, and evaluation of CV/NLU/ML/MLLM models; Inference optimization (latency, throughput, cost, power); Translate research advances in computer vision, NLU, GenAI, and multimodal LLMs into production systems; Collaborate cross-functionally with MLE, hardware, firmware, and product teams to integrate AI into real-world systems; Optimize solutions for hardware-specific acceleration (GPU, NPU, DSP) and edge deployment; Define and drive evaluation frameworks and metrics to ensure system performance, reliability, and safety; Lead technical direction for complex, ambiguous problems and influence system architecture across teams; Contribute to technical design docs, internal knowledge sharing, and long-term platform strategy

Requirements

Master’s, or PhD in Computer Science, Electrical Engineering, or related field; 8+ years of industry experience building production systems; Strong programming skills in Python/C++ and experience with modern ML frameworks (e.g., PyTorch, TensorFlow); Proven experience delivering end-to-end systems from concept to production; Deep expertise in one or more areas: Computer Vision (detection, tracking, segmentation, video understanding); Multimodal AI / MLLMs; GenAI and large-scale model systems; Experience building and scaling distributed systems or cloud-based ML pipelines; Experience optimizing models for latency, cost, and deployment constraints

Nice to have

Experience deploying AI both on Cloud (AWS, AzureML), edge devices (e.g., mobile, embedded systems, robotics platforms on Qualcomm, NVIDIA, Intel); Familiarity with hardware acceleration frameworks (TensorRT, ONNX, SNPE, etc.); Experience with real-time systems and streaming data pipelines; Knowledge of multimodal data processing (vision, audio, text, sensor fusion); Experience with AWS or other cloud platforms for large-scale inference and training; Strong system design and architecture skills across cloud ↔ edge environments; Track record of technical leadership, mentoring, and driving cross-team initiatives; Experience in privacy-preserving AI, security, or safety-critical systems

Benefits

Medical, Dental and Vision Insurance; Robust Paid Time Off policy; Bonuses; Lunch allowance; Cell phone stipend; Free LinkedIn Learning account or Udemy account; Access to 24/7 online emotional and mental support; Gym membership; Free parking; Stocked fridges and pantries - free coffee, cold beverages, snacks; Annual Company Outing Trip; Monthly team social activities