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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Systems Engineer (2026 Roadmap)

Nebula Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are building the foundation for the technological landscape of 2026 and beyond. Nebula Innovations is seeking a visionary Senior AI & Quantum Systems Engineer to lead our R&D division. In this pivotal role, you will bridge the gap between theoretical quantum mechanics and practical machine learning applications, ensuring our proprietary neural networks operate at the forefront of computational efficiency.

As a key member of our elite engineering team, you will be responsible for designing scalable architectures that prepare our systems for the quantum computing era. You will work in a dynamic environment where your code directly impacts the future of data processing, enabling breakthroughs in automation and intelligence.

Responsibilities

  • Architect and implement scalable AI/ML pipelines designed for the 2026 roadmap, integrating quantum-inspired algorithms.
  • Lead the research and development of next-generation neural network models, focusing on optimization and reduced latency.
  • Collaborate with cross-functional teams of physicists and data scientists to translate theoretical models into production-ready software.
  • Mentor junior engineers and conduct code reviews to maintain high standards of technical excellence and security.
  • Optimize existing system architectures to support high-throughput data processing and real-time inference.
  • Identify emerging trends in AI and quantum computing to inform strategic technology investments.

Qualifications

  • Master’s or PhD in Computer Science, Physics, or a related field with a focus on Artificial Intelligence.
  • 5+ years of professional experience in software engineering, with at least 3 years specializing in Machine Learning and Deep Learning frameworks.
  • Proficiency in Python, C++, and experience with quantum computing libraries (Qiskit, Cirq, or similar).
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of deploying large-scale models into production environments.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative startup environment.

Required Skills

Python C++ TensorFlow PyTorch Quantum Computing Machine Learning Distributed Systems Cloud Computing Docker Kubernetes AWS

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