Job Description
Join QuantumLeap Technologies at the forefront of technological evolution as we architect the digital landscape of 2026. We seek a visionary AI Systems Engineer to design next-generation neural architectures and quantum-integrated solutions. This role demands innovation in autonomous systems, predictive modeling, and human-AI collaboration frameworks. You'll work in our state-of-the-art San Francisco hub, collaborating with Nobel laureates and Turing Award winners to redefine technological boundaries.
Responsibilities
- Design and implement quantum-inspired AI systems for autonomous decision-making
- Develop predictive models for 2026 market volatility and technological convergence
- Lead cross-functional teams in prototyping neural-symbolic integration frameworks
- Optimize AI systems for edge computing in post-quantum environments
- Create ethical governance frameworks for 2026 autonomous systems
- Research metamaterial applications for next-gen hardware acceleration
- Architect human-AI symbiotic interfaces for enterprise ecosystems
Qualifications
- PhD in Computer Science, Quantum Computing, or related field (MS with 5+ years experience)
- Expertise in transformer architectures, quantum machine learning, and neuromorphic computing
- Proficiency in Python, TensorFlow/PyTorch, and quantum SDKs (Qiskit, Cirq)
- Published research in top-tier AI/quantum journals or conferences
- Experience with ethical AI frameworks and bias mitigation techniques
- Strong background in distributed systems and low-latency optimization
- Knowledge of 2026 regulatory landscapes for autonomous technologies