Job Description
We are seeking a visionary Senior AI & Quantum Computing Engineer to pioneer the next generation of intelligent systems. At Nexus Future Labs, we are not just building software; we are architecting the infrastructure of tomorrow. If you are passionate about the intersection of Artificial Intelligence and Quantum Mechanics, and you want to solve problems that were deemed impossible just a few years ago, we want to hear from you.
As a key member of our elite R&D team, you will lead the development of scalable quantum algorithms and integrate them into classical machine learning pipelines. You will work in a dynamic, high-performance environment where innovation is the currency and your code will shape the future of global industries.
Why Join Us?
- Work on cutting-edge technology that defines the 2026 tech landscape.
- Competitive compensation package and equity options.
- Flexible remote-first policy with a premium office in the heart of San Francisco.
- Access to top-tier hardware and research facilities.
Responsibilities
- Architect Solutions: Design and implement scalable quantum computing architectures optimized for large-scale AI model training and inference.
- Algorithm Development: Research and develop novel quantum algorithms to solve complex optimization problems in real-time.
- System Integration: Bridge the gap between quantum processors and classical cloud infrastructure, ensuring seamless data flow and error correction.
- Technical Leadership: Mentor junior engineers and data scientists, conducting code reviews and architectural discussions to maintain high engineering standards.
- Research Publication: Collaborate with academic institutions and publish findings in top-tier AI and Quantum Computing conferences (NeurIPS, Quantum, etc.).
- Performance Tuning: Continuously optimize system latency and throughput to meet enterprise-grade SLAs.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on AI and Quantum Mechanics.
- Experience: At least 5 years of professional experience in software engineering, with at least 2 years specifically focused on Quantum Computing or Advanced Machine Learning.
- Technical Stack: Proficiency in Python, C++, TensorFlow/PyTorch, and Qiskit/Cirq. Experience with cloud platforms (AWS, Google Cloud) is required.
- Problem Solving: Demonstrated ability to tackle ambiguous problems and derive innovative solutions under tight deadlines.
- Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.
- Agile Mindset: Experience working in Agile/Scrum environments with a focus on rapid iteration and delivery.