Job Description
Join FutureVision Labs to architect tomorrow's digital landscape. We're seeking a visionary Senior Futurist Technologist to spearhead groundbreaking initiatives that will redefine industries by 2026. This role blends strategic foresight with cutting-edge technical execution, perfect for those who thrive at the intersection of AI, quantum computing, and human-centric design. Our team operates at the bleeding edge of technological innovation, with opportunities to shape projects that impact billions of lives globally.
At FutureVision Labs, you'll collaborate with Nobel laureates, Silicon Valley pioneers, and UN futurists in a culture that values audacious thinking and disciplined execution. We offer competitive equity, unlimited learning stipends, and the flexibility to work from anywhere within the US while maintaining deep collaboration with our SF headquarters.
Responsibilities
- Lead strategic roadmaps for next-gen AI systems and quantum computing applications targeting 2026 commercial deployment
- Architect cross-disciplinary solutions merging biotechnology, neural interfaces, and decentralized infrastructure
- Direct research partnerships with MIT, Stanford, and ETH Zurich on emerging tech validation
- Develop ethical frameworks for autonomous systems and human augmentation technologies
- Present technological forecasts to Fortune 500 boards and UN innovation forums
- Mentor interdisciplinary teams of quantum physicists, AI ethicists, and computational biologists
- Secure $10M+ in R&D funding through NSF and DARPA proposal leadership
Qualifications
- PhD in Quantum Computing, AI, or Bioengineering with 8+ years industry experience
- Published research in Nature/Science on quantum machine learning or synthetic biology
- Proven track record delivering complex systems at scale (e.g., quantum cloud platforms)
- Expertise in ethical AI governance frameworks (IEEE 7000, EU AI Act compliance)
- Experience securing federal research grants ($5M+ value)
- Fluency in Python, Rust, and quantum programming languages (Qiskit, Cirq)
- Deep understanding of blockchain consensus mechanisms and zero-knowledge proofs
- Ability to communicate complex concepts to C-suite and technical stakeholders