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Principal Architect, 2026 AI Infrastructure | San Francisco

NexaCore Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Shape the Future of Intelligence

NexaCore Technologies is pioneering the infrastructure for the 2026 AI era. We are looking for a visionary Principal Architect to lead the design and deployment of next-generation neural network architectures. If you are passionate about building scalable, fault-tolerant systems that will define the technological landscape of the mid-2020s, this is your opportunity to lead from the front.

Why You'll Thrive Here

We offer a competitive compensation package, equity packages, and the chance to work on projects that redefine human-machine interaction. Our culture is built on transparency, technical excellence, and a relentless drive to solve the world's most complex problems.

Key Responsibilities

  • Architect 2026-Ready Systems: Design high-performance distributed computing systems capable of handling exascale AI workloads with zero latency.
  • Strategic Roadmapping: Define the technical roadmap for our proprietary AI infrastructure, ensuring alignment with 2026 market demands and regulatory standards.
  • Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Protocol Development: Lead the transition to post-silicon computing paradigms, integrating neuromorphic hardware where applicable.
  • Performance Optimization: Spearhead initiatives to optimize model inference speeds and reduce energy consumption in data centers.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field from a top-tier university.
  • Experience: Minimum of 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML infrastructure.
  • Technical Skills: Proficiency in Python, C++, Rust, and experience with containerization (Docker/Kubernetes) and orchestration.
  • Strategic Vision: Demonstrated ability to anticipate technological shifts and adapt architectural strategies accordingly.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.

What We Offer

  • Competitive base salary ($180k - $260k)
  • Comprehensive health, dental, and vision insurance.
  • Unlimited PTO and remote work flexibility.
  • Equity participation in a high-growth startup.

Responsibilities

  • Design high-performance distributed computing systems capable of handling exascale AI workloads with zero latency.
  • Define the technical roadmap for our proprietary AI infrastructure, ensuring alignment with 2026 market demands and regulatory standards.
  • Mentor a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Lead the transition to post-silicon computing paradigms, integrating neuromorphic hardware where applicable.
  • Spearhead initiatives to optimize model inference speeds and reduce energy consumption in data centers.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field from a top-tier university.
  • Minimum of 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML infrastructure.
  • Proficiency in Python, C++, Rust, and experience with containerization (Docker/Kubernetes) and orchestration.
  • Demonstrated ability to anticipate technological shifts and adapt architectural strategies accordingly.
  • Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.

Required Skills

Python C++ Rust Kubernetes Docker Neural Networks Distributed Systems AI Architecture System Design Post-Silicon Computing

Ready to Take This Challenge?

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

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