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Senior AI & Robotics Architect (2026 Roadmap)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the Future of Technology in 2026

We are looking for a visionary Senior AI & Robotics Architect to define our 2026 technology roadmap. In this pivotal role, you will bridge the gap between theoretical research and practical application, ensuring our solutions remain at the cutting edge of the industry. You will lead a high-performance team focused on developing autonomous systems and generative AI models that will define the next decade.

Why Join Us?

At Nexus Future Systems, we don't just predict the future; we build it. We offer a competitive benefits package, remote-first flexibility, and the opportunity to work on projects that impact millions of lives. If you are passionate about the intersection of code and consciousness, this is your chance to lead the charge.

Responsibilities

  • Lead the 2026 Roadmap: Define and execute the architectural vision for our upcoming generation of AI agents and robotics platforms.
  • System Architecture: Design scalable, fault-tolerant infrastructure capable of handling high-throughput data streams and real-time decision making.
  • Research Integration: Collaborate with R&D teams to integrate cutting-edge advancements in Large Language Models (LLMs) and neural-symbolic AI.
  • Team Leadership: Mentor senior engineers and architects, fostering a culture of innovation and continuous learning.
  • Performance Optimization: Oversee the deployment and tuning of models to ensure sub-millisecond latency in production environments.
  • Ethical AI: Establish guidelines and frameworks to ensure AI systems are safe, transparent, and unbiased.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Robotics, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of experience in software engineering, with at least 5 years in AI architecture or machine learning systems.
  • Technical Skills: Proficiency in Python, C++, and distributed systems (Kubernetes, Docker). Experience with TensorFlow, PyTorch, or JAX is required.
  • Problem Solving: Demonstrated ability to solve complex, undefined problems in dynamic environments.
  • Leadership: Proven track record of leading cross-functional teams and delivering high-stakes projects on time.
  • Future-Ready Mindset: Strong interest in emerging technologies including quantum computing interfaces and edge AI.

Required Skills

Python C++ TensorFlow PyTorch Kubernetes Docker System Design Machine Learning AI Architecture Robotics Cloud Computing Agile

Ready to Take This Challenge?

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

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