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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Robotics Engineer (2026 Roadmap)

Apex Future Systems
San Francisco
Estimated Salary
USD 175.000 – USD 240.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to build the technology of tomorrow?

Apex Future Systems is pioneering the next generation of intelligent automation and human-machine interfaces. We are looking for a visionary Senior AI & Robotics Engineer to lead our R&D initiatives for the 2026 Tech Roadmap. You will be at the forefront of developing autonomous systems, next-generation neural networks, and scalable AI infrastructure that will redefine industry standards.

In this high-impact role, you won't just be maintaining existing systems—you will architect the future. Join a team of world-class engineers dedicated to solving the complex challenges of the 21st century.

Why Join Us?

  • Work on cutting-edge projects that define the future of tech.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with access to top-tier hardware labs.

Responsibilities

  • Architect & Develop: Design and deploy scalable AI models and robotic control systems for next-generation automation.
  • Roadmap Leadership: Define the technical strategy and milestones for the 2026 product roadmap, ensuring feasibility and scalability.
  • Data Strategy: Lead the creation of high-performance datasets and implement MLOps pipelines to manage model lifecycle.
  • Cross-Functional Collaboration: Partner with product managers, UX designers, and hardware engineers to integrate AI solutions seamlessly.
  • Research & Innovation: Stay ahead of industry trends in Generative AI, Reinforcement Learning, and Edge Computing.
  • Mentorship: Guide junior engineers and data scientists, fostering a culture of technical excellence and innovation.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Robotics, AI, or a related technical field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with a strong portfolio of deployed machine learning models.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with CUDA or GPU acceleration.
  • Domain Knowledge: Deep understanding of robotics control theory, sensor fusion, or Natural Language Processing.
  • Problem Solving: Exceptional ability to troubleshoot complex system architectures and optimize for performance and efficiency.
  • Communication: Excellent verbal and written skills for technical presentations and stakeholder updates.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Robotics MLOps CUDA Cloud Computing (AWS/GCP) Agile System Architecture

Ready to Take This Challenge?

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

Apply Now

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