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Senior AI & Quantum Systems Engineer (2026 Niche)

Nexus 2026 Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are Nexus 2026 Labs, a pioneering research organization redefining the boundaries of artificial intelligence and quantum computing. We are currently seeking a visionary Senior AI & Quantum Systems Engineer to lead the development of next-generation neural architectures optimized for the year 2026 and beyond.

In this role, you will bridge the gap between theoretical quantum mechanics and practical AI deployment. You will work on cutting-edge projects that define the infrastructure of the future. If you are passionate about building systems that were once considered science fiction, we want to hear from you.

Why Join Us?

  • Work on the bleeding edge of technology (The 2026 Stack).
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with premium benefits.

Join us in shaping the technological landscape of tomorrow.

Responsibilities

  • Architect Design: Design and implement scalable AI models and quantum algorithms tailored for high-performance computing environments.
  • System Optimization: Optimize existing neural networks to run efficiently on hybrid quantum-classical hardware.
  • Research & Development: Conduct research into emerging AI paradigms and integrate them into our core product suite.
  • Code Review & Mentorship: Lead code reviews, provide technical mentorship to junior engineers, and establish best practices for the 2026 tech stack.
  • Collaboration: Partner with cross-functional teams of data scientists, quantum physicists, and security experts.
  • Performance Tuning: Continuously monitor system performance and implement improvements to ensure zero-latency processing.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, or a related technical field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with a focus on large-scale systems.
  • Tech Stack: Deep proficiency in Python, TensorFlow, PyTorch, and Rust.
  • Quantum Knowledge: Familiarity with quantum computing concepts (Qiskit, Cirq) and hybrid quantum-classical computing.
  • Problem Solving: Exceptional ability to solve complex, unstructured problems with innovative technical solutions.
  • Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts to diverse audiences.

Required Skills

Python TensorFlow PyTorch Quantum Computing Qiskit Rust System Architecture Machine Learning Deep Learning Quantum-Classical Hybrid 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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