Home Job Details
A
Information Technology 🏒 Full Time ⭐️ Verified

Principal Architect: Future Computing & AI Systems (2026 Horizon)

Aeternity Labs
San Francisco
Estimated Salary
USD 170.000 – USD 240.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are at the precipice of a technological revolution. Aeternity Labs is seeking a visionary Principal Architect to lead the design of our systems for the 2026 computing era. You will be responsible for architecting the infrastructure that powers next-generation AI and autonomous solutions. If you thrive on solving complex challenges and want to shape the future of technology, join us.

In this role, you will bridge the gap between cutting-edge research and scalable production environments, ensuring our platforms are secure, efficient, and ready for the demands of the future.

Responsibilities

  • Design Future-Proof Architectures: Spearhead the design of scalable, distributed systems tailored for high-performance AI workloads and quantum-ready infrastructure.
  • Technical Vision & Strategy: Define the long-term technical roadmap, identifying emerging technologies (e.g., neuromorphic computing) and integrating them into our product ecosystem.
  • Lead Engineering Excellence: Mentor senior engineers and architects, fostering a culture of innovation, code quality, and continuous learning.
  • System Optimization: Drive architectural improvements to enhance system reliability, reduce latency, and optimize resource utilization for massive data throughput.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and researchers to translate abstract 2026-era requirements into concrete, executable technical solutions.

Qualifications

  • Experience: 10+ years of software engineering experience, with at least 5 years in a senior architecture or principal engineering role.
  • Education: Master’s degree in Computer Science, Mathematics, or a related field (PhD is a plus).
  • Core Competencies: Deep expertise in Python, Go, or Rust; extensive experience with cloud-native architectures (AWS, GCP, or Azure).
  • AI/ML Integration: Proven track record of integrating Large Language Models (LLMs) and deep learning frameworks into production systems.
  • Problem Solving: Demonstrated ability to architect resilient systems capable of handling edge cases and rapid scaling.
  • Communication: Exceptional verbal and written communication skills, capable of articulating complex technical strategies to stakeholders.

Required Skills

System Design Python AWS AI/ML Architecture Kubernetes Microservices Distributed Systems Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All