Job Description
Are you ready to architect the future of intelligence? Nexus Future Labs is seeking a visionary Senior AI Systems Architect to lead our initiatives for 2026 and beyond. In this pivotal role, you will bridge the gap between cutting-edge theoretical research and scalable, production-grade AI infrastructure. We are looking for a thought leader who thrives in a fast-paced environment and is passionate about solving complex engineering challenges that define the next decade of technology.
Join us in San Francisco and help build the systems that will power the world's most advanced artificial intelligence applications.
Responsibilities
- Architect Scalable Infrastructure: Design and implement robust, fault-tolerant AI systems capable of processing petabytes of data with minimal latency.
- Lead Technical Roadmap: Define the technical vision and architecture for our 2026 product suite, ensuring alignment with business goals.
- Optimize Model Performance: Continuously refine and optimize neural network architectures and inference pipelines for maximum efficiency.
- Cloud & MLOps: Spearhead the deployment of models on cloud-native platforms (AWS/Azure/GCP) and establish best-in-class MLOps practices.
- Cross-Functional Collaboration: Partner with data scientists, product managers, and engineers to integrate AI capabilities into core product lines.
- Talent Development: Mentor junior engineers and architects, fostering a culture of technical excellence and innovation.
- R&D Leadership: Evaluate emerging AI technologies (e.g., Quantum AI, Generative Models) and assess their viability for integration.
Qualifications
- Education: Master’s degree in Computer Science, Engineering, Mathematics, or a related field (PhD preferred).
- Experience: 7+ years of software engineering experience, with at least 3 years specifically in AI/ML systems architecture.
- Programming: Deep expertise in Python, C++, or Java, with extensive experience using frameworks like TensorFlow, PyTorch, or JAX.
- System Design: Proven track record of designing distributed systems and high-availability cloud architectures.
- Tools: Strong proficiency in Docker, Kubernetes, CI/CD pipelines, and version control (Git).
- Soft Skills: Exceptional problem-solving abilities and the capacity to communicate complex technical concepts to non-technical stakeholders.
- Location: Must be willing to work from our San Francisco headquarters or a fully remote capacity within the US.