Job Description
Are you ready to define the technological landscape of the next decade?
Nexus Systems is launching Project 2026, a revolutionary initiative aimed at redefining autonomous decision-making through next-generation neural networks. We are looking for a visionary Senior AI Architect to lead our core engineering team in building scalable, high-performance AI systems.
In this role, you will not just write code; you will architect the future. You will work with cutting-edge hardware and proprietary algorithms to solve problems that were previously deemed unsolvable. Join us in shaping the intelligence layer of the global digital infrastructure.
Why join Project 2026?
- Impact: Directly influence the roadmap of our flagship product.
- Environment: Collaborate with world-class researchers and engineers.
- Equity: Competitive equity package tied to project milestones.
Responsibilities
- Architectural Leadership: Design and implement scalable deep learning infrastructure capable of processing petabytes of real-time data.
- Model Optimization: Reduce inference latency and improve model accuracy for edge deployment scenarios.
- R&D Strategy: Conduct cutting-edge research to integrate emerging AI paradigms into our core engine.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
- Cross-Functional Collaboration: Partner with product managers and data scientists to translate complex business requirements into robust technical solutions.
- Code Quality: Establish and enforce rigorous coding standards, CI/CD pipelines, and automated testing protocols.
Qualifications
- Education: MS or PhD in Computer Science, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience building and deploying large-scale machine learning models.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep knowledge of distributed systems and high-performance computing.
- Cloud Expertise: Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Problem Solving: Demonstrated ability to troubleshoot complex system architectures and optimize for performance under constraints.
- Communication: Excellent written and verbal communication skills with the ability to articulate technical concepts to non-technical stakeholders.