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Senior AI & Robotics Engineer (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026 and beyond? Nexus Future Labs is seeking a visionary Senior AI & Robotics Engineer to lead our R&D division into the next era of autonomous intelligence.

We are building the core infrastructure for next-generation smart systems. In this role, you won't just maintain existing tech; you will architect the future of human-machine interaction, working on cutting-edge neural networks and robotic autonomy.

Why Join Us?

  • Work on projects with a $10B+ projected market impact.
  • Top-tier benefits and equity package.
  • Flexible remote-first culture with access to state-of-the-art labs.

Don't just build the future—be the architect of it.

Responsibilities

  • Architect Next-Gen AI Models: Design and implement scalable deep learning architectures for real-time robotic perception and decision-making.
  • Sensor Fusion: Lead the development of algorithms that integrate data from LiDAR, Radar, and Computer Vision to create robust autonomous navigation systems.
  • Hardware-Software Integration: Collaborate with hardware engineers to deploy optimized inference engines on edge devices and robotic platforms.
  • R&D Leadership: Conduct high-level research to identify emerging trends in AI and robotics for the 2026 roadmap.
  • Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field.
  • Experience: 5+ years of professional experience in AI, Machine Learning, or Robotics.
  • Programming: Proficiency in Python, C++, and experience with GPU acceleration (CUDA).
  • Frameworks: Deep expertise in PyTorch, TensorFlow, or JAX.
  • ROS Experience: Strong background in ROS (Robot Operating System) and ROS2 for robotic simulation and deployment.
  • Mathematics: Solid foundation in Linear Algebra, Calculus, and Probability Statistics.

Required Skills

Python C++ PyTorch TensorFlow Robotics ROS AI Machine Learning Computer Vision Sensor Fusion CUDA Deep Learning

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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