Job Description
Are you ready to architect the intelligence of tomorrow? Nexus 2026 Labs is pioneering the next generation of Artificial General Intelligence (AGI) and quantum-assisted machine learning systems. We are looking for a visionary Senior AI Architect to lead our R&D division in San Francisco.
In this role, you will not just write code; you will define the computational foundations for the year 2026 and beyond. You will bridge the gap between theoretical AI research and scalable production systems, ensuring our solutions are ethical, efficient, and transformative.
Why Join Nexus 2026 Labs?
- Work on cutting-edge technology that will define the future.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a prime office location in SoMa.
- Access to state-of-the-art compute resources and research libraries.
Responsibilities
- Architectural Leadership: Design and implement scalable, high-performance AI infrastructure and distributed computing systems capable of processing exabyte-scale datasets.
- R&D Strategy: Lead the research and development of novel algorithms, focusing on reinforcement learning, natural language processing, and neural architecture search.
- System Optimization: Oversee the end-to-end machine learning lifecycle, from data ingestion and feature engineering to model deployment and monitoring.
- Talent Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation, technical excellence, and continuous learning.
- Collaboration: Partner with cross-functional teams including product managers, ethicists, and security experts to align technical solutions with business goals.
- Compliance & Ethics: Ensure all AI systems adhere to rigorous ethical guidelines, safety protocols, and regulatory standards.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field from a top-tier institution.
- Experience: Minimum of 8+ years of experience in software engineering and machine learning, with at least 4 years in a senior or architect-level role.
- Technical Skills: Deep proficiency in Python, C++, and CUDA. Strong experience with frameworks such as PyTorch, TensorFlow, or JAX.
- Domain Knowledge: Proven track record of deploying large-scale AI models in production environments.
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts to diverse stakeholders.
- Problem Solving: Ability to tackle ambiguous problems with creative, data-driven solutions.