Job Description
Join QuantumLeap Technologies at the forefront of 2026's AI revolution! We're seeking visionary Research Engineers to architect next-generation neural networks and quantum-computing hybrid systems. Shape the future of autonomous decision-making, predictive analytics, and human-machine collaboration in our state-of-the-art San Francisco lab.
Your Impact: Lead breakthrough projects in generative AI, neuromorphic computing, and ethical AI frameworks. Collaborate with Nobel laureates and industry pioneers to develop patent-pending technologies that will redefine industries by 2026.
Responsibilities
- Design and implement cutting-edge AI models using PyTorch, TensorFlow, and quantum computing frameworks
- Lead research on AGI safety protocols and explainable AI methodologies
- Develop hybrid quantum-classical algorithms for real-world optimization problems
- Create ethical AI frameworks aligned with 2026 regulatory standards
- Collaborate with hardware teams to co-design next-generation AI accelerators
- Publish findings in top-tier journals and present at global AI symposia
- Mentor junior researchers in emerging AI paradigms
Qualifications
- PhD in Computer Science, AI, or Quantum Computing with 3+ years industry experience
- Expertise in transformer architectures, reinforcement learning, and quantum machine learning
- Published research in NeurIPS, ICML, or Nature AI journals
- Proficiency in C++, Python, and quantum programming languages (Qiskit, Cirq)
- Experience with large-scale distributed computing frameworks (Ray, Dask)
- Demonstrated success in deploying production-grade AI systems
- Strong background in AI ethics and responsible development practices