Job Description
We are at the precipice of a technological renaissance. Nexus Future Systems is pioneering the infrastructure for the year 2026, specializing in the convergence of advanced artificial intelligence and quantum computing. We are seeking a visionary Senior AI & Quantum Systems Engineer to lead our research division.
In this role, you will not just write code; you will architect the future of data processing. You will bridge the gap between theoretical quantum mechanics and practical, scalable AI models. If you are obsessed with the next technological leap and want to define the standard for 2026, we want you on our team.
Why Join Nexus Future Systems?
- Work on high-impact, classified research projects.
- Competitive compensation package and equity options.
- Flexible remote-first culture with access to state-of-the-art labs in Austin.
- Professional development budget unlimited.
Responsibilities
- Architect Future-Proof Systems: Design and implement hybrid AI-Quantum architectures capable of processing petabytes of real-time data with zero latency.
- Algorithm Optimization: Develop and refine quantum algorithms (QAOA, VQE) to solve complex optimization problems in supply chain and energy sectors.
- Lead R&D: Spearhead research initiatives exploring Neuromorphic Computing and its integration with traditional deep learning frameworks.
- Collaborative Innovation: Partner with theoretical physicists and data scientists to translate scientific breakthroughs into production-ready software.
- Code Review & Mentorship: Mentor junior engineers and conduct rigorous code reviews to ensure security and scalability in our core systems.
- System Integration: Oversee the integration of cloud-native quantum simulators with on-premise high-performance computing clusters.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Information Science.
- Experience: Minimum 5+ years of experience in software engineering, with at least 2 years specifically focused on AI/ML or Quantum Computing.
- Technical Stack: Proficiency in Python, C++, and CUDA; experience with quantum programming frameworks such as Qiskit, Cirq, or PennyLane.
- Modeling: Strong background in Deep Learning (PyTorch/TensorFlow) and experience deploying models in distributed environments.
- Problem Solving: Demonstrated ability to tackle abstract mathematical problems and translate them into robust engineering solutions.
- Communication: Exceptional ability to communicate complex technical concepts to cross-functional teams and stakeholders.