Job Description
Are you ready to architect the intelligence of tomorrow? Nexus Future Labs is on the cutting edge of the 2026 technological revolution. We are building the neural foundations for the next era of autonomous systems and are seeking a visionary Senior AI Architect to join our elite engineering team in Austin, Texas.
In this pivotal role, you won't just write code; you will define the architectural blueprint for our flagship 2026 product line. You will bridge the gap between theoretical deep learning research and production-grade scalability, ensuring our AI systems are robust, ethical, and revolutionary.
Why Join Us?
- Work on high-impact projects that define the future.
- Competitive equity package and top-tier compensation.
- Flexible remote-first culture with a dynamic office in Austin.
- Access to cutting-edge hardware and compute resources.
Responsibilities
- Architect Scalable Systems: Design and implement distributed machine learning pipelines capable of processing petabytes of data in real-time.
- Model Optimization: Lead efforts in model pruning, quantization, and inference acceleration to ensure latency is sub-millisecond.
- Research Integration: Translate the latest advancements in Generative AI and LLMs into stable, production-ready software components.
- Mentorship: Guide a team of junior data scientists and ML engineers, fostering a culture of technical excellence and innovation.
- Ethical AI: Implement guardrails and safety protocols to ensure AI outputs remain unbiased and aligned with human values.
- Collaboration: Partner closely with product managers and stakeholders to translate complex technical requirements into architectural solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 7+ years of professional experience in software engineering and machine learning architecture.
- Tools: Proficiency in Python, PyTorch, TensorFlow, and experience with Kubernetes and cloud infrastructure (AWS/GCP).
- Specialization: Deep experience with Large Language Models (LLMs), Transformer architectures, and reinforcement learning.
- Problem Solving: Proven track record of solving complex algorithmic problems at scale.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical audiences.