Auxo Talent
POSITION OVERVIEW
Position Title:
Director of Software and AI Division:
Robotics Overview
The Director of Software and AI will serve as a strategic technology leader responsible for defining and executing the company's artificial intelligence and software development roadmap for humanoid robotics systems. This role requires deep technical expertise, visionary leadership, and cross-functional collaboration to build and mentor high-performing teams of robotics engineers, AI/ML specialists, and software developers. The role drives innovation in perception systems, decision-making algorithms, manipulation capabilities, and control systems while ensuring seamless integration with hardware, product design, and operations. You will shape the future of humanoid robotics by bringing cutting-edge research from lab to real-world deployment, creating robots that can safely and intelligently operate in human environments. Responsibilities
Strategic Leadership: Define AI and software strategy aligned with business objectives and market opportunities; establish technical vision for perception, planning, control, and human-robot interaction systems; identify emerging technologies and competitive threats; set objectives and KPIs; represent the company externally. Team Building: Recruit and scale world-class teams; foster a culture of innovation, learning, and collaboration; mentor technical leaders; manage performance reviews; promote diversity and inclusion; implement engineering best practices for code review, documentation, and knowledge sharing. Technical Leadership: Own end-to-end software architecture from embedded firmware to cloud; oversee perception systems; guide decision-making and planning algorithms for autonomous operation; ensure stable control systems; establish simulation environments and digital twins; define data architecture for collection, annotation, storage, and retrieval. AI/ML Development: Oversee ML lifecycle from data collection to deployment; guide model-based and learning-based control; ensure AI/ML deployment on edge platforms with latency/power considerations; implement monitoring for performance, drift detection, and continuous evaluation; establish A/B testing frameworks. Cross-Functional Collaboration: Partner with hardware teams for co-design; collaborate with product management on technical specs; coordinate with operations on production, testing, and QA; engage with safety/regulatory teams for standards compliance. Safety & Security: Enforce safety-critical development practices; ensure safety standards for operation around humans; implement security practices for privacy and secure communications; design for reliability with testing; implement monitoring and telemetry for remote diagnostics. Required Qualifications
Education : Master’s in Computer Science, AI, Robotics, EE, ME, or related field; PhD strongly preferred Experience : 8-10 years in software development and AI/ML with increasing responsibility; 3-5 years technical leadership managing 15+ engineers; proven experience shipping robotics products or complex AI systems to production; hands-on experience with humanoid/legged robots or manipulation systems preferred Technical Expertise : Software & Infrastructure — scalable architectures for robotic systems, data infrastructure (databases, ETL, streaming), simulation environments (Gazebo, Isaac Sim, MuJoCo), containerization (Docker, Kubernetes), cloud platforms (AWS, GCP, Azure); Control & Planning — model-based control, learning-based control, behavior models, trajectory optimization, whole-body control for humanoids; Navigation — path planning, semantic mapping, human-aware navigation; Real-Time Systems — ROS/ROS2, RTOS, deterministic computing, middleware; Edge Computing — AI/ML deployment on Jetson/RB5/Intel platforms; model optimization; ML — PyTorch/TensorFlow/JAX, transformers, MLOps; Programming — C++ and Python, Git, CI/CD, testing Preferred Qualifications
Publications in top robotics/AI conferences; humanoid/legged locomotion experience; haptics and force control; NLU and human-robot interaction; regulatory knowledge (CE, FCC); startup experience; successful product launches; distributed team management; open-source contributions Seniority level
Director Employment type
Full-time Job function
Information Technology and Manufacturing Industries
Manufacturing Note: This description focuses on the role responsibilities and qualifications; unrelated postings and promotional content have been removed.
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Director of Software and AI Division:
Robotics Overview
The Director of Software and AI will serve as a strategic technology leader responsible for defining and executing the company's artificial intelligence and software development roadmap for humanoid robotics systems. This role requires deep technical expertise, visionary leadership, and cross-functional collaboration to build and mentor high-performing teams of robotics engineers, AI/ML specialists, and software developers. The role drives innovation in perception systems, decision-making algorithms, manipulation capabilities, and control systems while ensuring seamless integration with hardware, product design, and operations. You will shape the future of humanoid robotics by bringing cutting-edge research from lab to real-world deployment, creating robots that can safely and intelligently operate in human environments. Responsibilities
Strategic Leadership: Define AI and software strategy aligned with business objectives and market opportunities; establish technical vision for perception, planning, control, and human-robot interaction systems; identify emerging technologies and competitive threats; set objectives and KPIs; represent the company externally. Team Building: Recruit and scale world-class teams; foster a culture of innovation, learning, and collaboration; mentor technical leaders; manage performance reviews; promote diversity and inclusion; implement engineering best practices for code review, documentation, and knowledge sharing. Technical Leadership: Own end-to-end software architecture from embedded firmware to cloud; oversee perception systems; guide decision-making and planning algorithms for autonomous operation; ensure stable control systems; establish simulation environments and digital twins; define data architecture for collection, annotation, storage, and retrieval. AI/ML Development: Oversee ML lifecycle from data collection to deployment; guide model-based and learning-based control; ensure AI/ML deployment on edge platforms with latency/power considerations; implement monitoring for performance, drift detection, and continuous evaluation; establish A/B testing frameworks. Cross-Functional Collaboration: Partner with hardware teams for co-design; collaborate with product management on technical specs; coordinate with operations on production, testing, and QA; engage with safety/regulatory teams for standards compliance. Safety & Security: Enforce safety-critical development practices; ensure safety standards for operation around humans; implement security practices for privacy and secure communications; design for reliability with testing; implement monitoring and telemetry for remote diagnostics. Required Qualifications
Education : Master’s in Computer Science, AI, Robotics, EE, ME, or related field; PhD strongly preferred Experience : 8-10 years in software development and AI/ML with increasing responsibility; 3-5 years technical leadership managing 15+ engineers; proven experience shipping robotics products or complex AI systems to production; hands-on experience with humanoid/legged robots or manipulation systems preferred Technical Expertise : Software & Infrastructure — scalable architectures for robotic systems, data infrastructure (databases, ETL, streaming), simulation environments (Gazebo, Isaac Sim, MuJoCo), containerization (Docker, Kubernetes), cloud platforms (AWS, GCP, Azure); Control & Planning — model-based control, learning-based control, behavior models, trajectory optimization, whole-body control for humanoids; Navigation — path planning, semantic mapping, human-aware navigation; Real-Time Systems — ROS/ROS2, RTOS, deterministic computing, middleware; Edge Computing — AI/ML deployment on Jetson/RB5/Intel platforms; model optimization; ML — PyTorch/TensorFlow/JAX, transformers, MLOps; Programming — C++ and Python, Git, CI/CD, testing Preferred Qualifications
Publications in top robotics/AI conferences; humanoid/legged locomotion experience; haptics and force control; NLU and human-robot interaction; regulatory knowledge (CE, FCC); startup experience; successful product launches; distributed team management; open-source contributions Seniority level
Director Employment type
Full-time Job function
Information Technology and Manufacturing Industries
Manufacturing Note: This description focuses on the role responsibilities and qualifications; unrelated postings and promotional content have been removed.
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