Job Description
Join Nexus Dynamics at the forefront of sustainable AI innovation. We're seeking visionary engineers to develop carbon-neutral machine learning systems that redefine technological responsibility. As an AI Sustainability Engineer, you'll architect solutions that balance computational power with environmental stewardship, directly contributing to our 2026 net-zero initiative.
Our Austin hub fosters groundbreaking research in green computing, offering competitive benefits including equity packages, wellness stipends, and flexible remote options. Collaborate with cross-disciplinary teams to transform theoretical sustainability into scalable, market-ready AI frameworks.
Responsibilities
- Design and implement energy-efficient neural network architectures
- Develop carbon footprint tracking systems for ML pipelines
- Optimize model inference for edge computing environments
- Lead sustainability audits of AI infrastructure
- Create ESG-compliant documentation frameworks
- Mentor junior engineers in sustainable coding practices
- Publish research in peer-reviewed sustainability journals
Qualifications
- Master's degree in Computer Science or Environmental Engineering
- 3+ years experience with TensorFlow/PyTorch frameworks
- Proficiency in carbon accounting methodologies (GHG Protocol)
- Expertise in GPU/TPU optimization techniques
- Familiarity with circular computing principles
- Certification in Green IT (CompTIA or equivalent)
- Strong Python/C++ programming skills
- Published work in sustainable AI research