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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Robotics Engineer (2026 Vision)

FutureScale Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

We are on the cusp of a technological renaissance. FutureScale Technologies is seeking a visionary Senior AI & Robotics Engineer to architect the intelligent systems that will define the year 2026 and beyond. You won't just be building software; you are building the future of human-machine interaction.

In this role, you will lead the design and implementation of next-generation autonomous agents, neural networks, and adaptive robotics systems. If you are obsessed with scalability, ethics in AI, and the future of work, we want to meet you.

Responsibilities

  • Architect the 2026 Roadmap: Lead the strategic development of our core AI infrastructure, ensuring scalability and resilience for future market demands.
  • Develop Autonomous Systems: Design and deploy advanced machine learning models and robotics algorithms that operate in complex, real-world environments.
  • Optimize Neural Networks: Continuously refine deep learning models to improve accuracy, speed, and energy efficiency.
  • Lead Cross-Functional Teams: Mentor junior engineers and collaborate with product managers, designers, and hardware specialists to translate technical concepts into user-centric products.
  • Ensure Ethical AI: Implement bias detection and mitigation strategies to ensure our technology aligns with global ethical standards.
  • Pioneering Research: Stay ahead of industry trends, evaluating emerging technologies (like Quantum AI and Generative Models) to integrate into our ecosystem.

Qualifications

  • Education: Master’s or PhD in Computer Science, Robotics, Artificial Intelligence, or a related quantitative field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with a focus on robotics or autonomous systems.
  • Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and experience with GPU acceleration (CUDA).
  • System Design: Strong understanding of distributed systems, microservices architecture, and cloud infrastructure (AWS/GCP).
  • Problem Solving: Demonstrated ability to solve complex, open-ended technical problems in dynamic environments.
  • Communication: Exceptional ability to communicate complex technical strategies to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Robotics Natural Language Processing (NLP) Cloud Computing Distributed Systems CUDA

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