Job Description
Join Nexus Future Labs at the forefront of sustainable AI innovation for 2026. We're pioneering carbon-efficient neural networks and eco-conscious machine learning frameworks to redefine the future of technology. As a key member of our R&D team, you'll architect breakthrough solutions that balance computational power with planetary responsibility.
Our state-of-the-art facility in San Francisco's tech corridor offers unparalleled resources for research, including quantum computing access and dedicated green data centers. Collaborate with Nobel laureates and industry disruptors while shaping the next generation of ethical AI.
Responsibilities
- Design and implement low-energy neural network architectures for enterprise-scale applications
- Lead cross-functional teams in developing carbon-aware ML optimization frameworks
- Author peer-reviewed research on sustainable AI methodologies for top-tier journals
- Partner with hardware engineers to co-design eco-conscious AI accelerators
- Develop proprietary ESG metrics for AI system lifecycle assessment
- Mentor PhD researchers in sustainable machine learning techniques
- Secure federal and private grants for green AI initiatives
Qualifications
- PhD in Computer Science, AI, or Sustainable Systems with 5+ years industry experience
- Published research in top-tier AI conferences (NeurIPS, ICML) with sustainability focus
- Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
- Proven track record of reducing AI carbon footprints by 40%+ in production systems
- Strong background in quantum machine learning and neuromorphic computing
- Certification in Green Software Engineering principles
- Experience securing NSF grants or similar sustainable technology funding