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Senior AI & Robotics Engineer (Project 2026)

Future Systems Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI & Robotics Engineer to lead the technical development of Project 2026, our flagship initiative into the future of autonomous systems. This is a rare opportunity to work on cutting-edge technology that will define the next decade of human-machine interaction.

At Future Systems Inc., we believe in pushing boundaries. You will be responsible for architecting robust neural networks, optimizing real-time decision-making algorithms, and ensuring our robotic systems operate safely in unpredictable environments. We offer a highly competitive compensation package, equity packages, and a flexible remote-first culture.

Responsibilities

  • Architect Advanced AI Models: Design and implement state-of-the-art deep learning models for perception and control systems.
  • Lead System Integration: Oversee the integration of AI software with hardware components to ensure seamless functionality.
  • Optimize Performance: Continuously monitor and optimize algorithms for speed, accuracy, and energy efficiency.
  • Mentor Engineering Teams: Provide technical guidance and mentorship to junior engineers and data scientists.
  • Rapid Prototyping: Build and test prototypes using simulation tools (e.g., Gazebo, Unity) before physical deployment.
  • Collaborate Across Disciplines: Work closely with product managers, safety officers, and external partners to align technical roadmaps.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related technical field.
  • Experience: 5+ years of experience in AI/ML, robotics, or autonomous systems development.
  • Programming: Expert proficiency in Python, C++, and experience with frameworks like PyTorch or TensorFlow.
  • Technical Knowledge: Strong understanding of reinforcement learning, computer vision, SLAM, and sensor fusion.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems in dynamic environments.
  • Communication: Excellent written and verbal communication skills for technical documentation and stakeholder presentations.

Required Skills

Python C++ PyTorch TensorFlow Machine Learning Robotics Computer Vision Reinforcement Learning System Architecture

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