Job Description
Are you ready to architect the future? Nexus 2026 is at the forefront of next-generation artificial intelligence, building the foundational systems that will define the decade ahead. We are looking for a visionary Lead AI Architect to join our elite engineering team and drive the development of our proprietary '2026' ecosystem.
As a key player in our organization, you will not just write code; you will define the architectural standards for scalable, high-performance machine learning systems. We value deep technical expertise, creative problem-solving, and a passion for pushing the boundaries of what is possible in AI infrastructure.
Why join Nexus 2026?
• Work on high-impact projects that shape the future of technology.
• Competitive compensation package including equity options.
• Access to the latest hardware and research tools.
As a key player in our organization, you will not just write code; you will define the architectural standards for scalable, high-performance machine learning systems. We value deep technical expertise, creative problem-solving, and a passion for pushing the boundaries of what is possible in AI infrastructure.
Why join Nexus 2026?
• Work on high-impact projects that shape the future of technology.
• Competitive compensation package including equity options.
• Access to the latest hardware and research tools.
Responsibilities
- Design and Scale: Architect robust, scalable machine learning pipelines and distributed systems designed to handle petabytes of data.
- Model Optimization: Lead the research and implementation of cutting-edge optimization techniques to improve model latency and throughput.
- Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and best practices.
- System Integration: Oversee the integration of AI models into production environments, ensuring seamless deployment and monitoring.
- Roadmap Strategy: Collaborate with product leads to define the technical roadmap for the 2026 Systems Initiative.
- Code Quality: Enforce high standards of code quality, documentation, and testing across all engineering projects.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
- Experience: 7+ years of experience in software engineering, with at least 4 years in a lead or architect role.
- Core Tech: Proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
- Cloud Mastery: Strong experience with AWS, GCP, or Azure, specifically in designing serverless or containerized architectures.
- Distributed Systems: Deep understanding of distributed computing concepts, message queues, and microservices architecture.
- Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts for diverse stakeholders.