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Information Technology 🏒 Full Time ⭐️ Verified

Lead Engineer: Project 2026 (AI & Robotics)

Nebula Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Architecting the Future: Project 2026

Nebula Dynamics is at the forefront of the next industrial revolution. We are seeking a visionary Lead Engineer to spearhead Project 2026, a groundbreaking initiative merging autonomous AI systems with advanced robotics.

The Opportunity

In this high-impact role, you will be the architect of our core intelligence layer. You will work directly with world-class researchers and hardware specialists to build scalable, real-time decision-making engines for next-gen autonomous units. If you thrive on solving complex architectural challenges and want to define the standard for 2026 and beyond, this is your stage.

Why Join Us?

  • Shaping the Future: Directly contribute to the roadmap that defines the next decade of automation.
  • Elite Team: Collaborate with top-tier talent from MIT, Stanford, and Google DeepMind.
  • Modern Stack: Work with cutting-edge technologies including Rust, CUDA, and distributed systems.

Responsibilities

  • Design and implement scalable, low-latency AI inference engines for edge devices and cloud environments.
  • Lead the architecture of the Project 2026 neural network stack, optimizing for speed and energy efficiency.
  • Mentor a team of junior and senior engineers, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams (Hardware, Product, Data Science) to integrate AI models into physical systems.
  • Conduct rigorous code reviews and ensure adherence to security and performance best practices.
  • Define technical roadmaps and make strategic decisions regarding technology selection and architecture patterns.

Qualifications

  • Master’s or PhD in Computer Science, Robotics, or a related technical field.
  • 10+ years of software engineering experience, with at least 5 years leading technical teams and architecture.
  • Deep expertise in Machine Learning frameworks (PyTorch, TensorFlow) and C++.
  • Proven experience in distributed systems, cloud computing (AWS/GCP), and containerization (Docker/Kubernetes).
  • Experience with robotics middleware (ROS 2) and real-time operating systems.
  • Strong problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python C++ Machine Learning Deep Learning System Architecture Kubernetes Docker AWS Robotics ROS 2 Distributed Systems

Ready to Take This Challenge?

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

Apply Now

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