Job Description
Join QuantumLeap Labs at the forefront of technological evolution as we architect AI systems for 2026 and beyond. We're seeking a visionary Senior AI Systems Architect to design next-generation neural networks and quantum-enhanced machine learning frameworks that will redefine industry standards. You'll lead cross-functional teams in developing scalable AI solutions for autonomous systems, predictive analytics, and human-AI collaboration interfaces. Our culture champions innovation, ethical AI development, and work-life integration.
Why QuantumLeap? We offer competitive equity packages, unlimited learning stipends, and flexible remote work options with quarterly in-person innovation retreats in our state-of-the-art San Francisco headquarters.
Responsibilities
- Design and implement cutting-edge AI architectures integrating quantum computing principles
- Lead development of autonomous system frameworks with 99.99% reliability standards
- Architect neural networks for real-time predictive analytics across multi-modal datasets
- Establish ethical AI governance frameworks aligned with 2026 regulatory landscapes
- Mentor junior engineers in emerging AI paradigms and quantum machine learning
- Collaborate with product teams to translate business requirements into technical blueprints
- Optimize AI deployment strategies for edge computing and distributed systems
Qualifications
- 10+ years in AI/ML engineering with 5+ years in architectural leadership
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, or PennyLane)
- Proven track record deploying production-grade autonomous systems
- PhD in Computer Science, AI, or related field or equivalent experience
- Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Proficiency in distributed computing (Kubernetes, Spark, Ray)
- Strong background in AI ethics and bias mitigation frameworks
- Experience with neuromorphic computing and brain-inspired architectures