Home Job Details
N
Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Architect | AI & Quantum Systems | 2026

Nexus Future Systems
San Francisco
Estimated Salary
USD 175.000 – USD 245.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to define the technological landscape of tomorrow? Nexus Future Systems is looking for a visionary Future Tech Architect to lead our breakthrough initiatives in AI and next-gen computing. In this role, you will be at the helm of our 2026 strategic roadmap, architecting systems that bridge the gap between today's capabilities and the future of intelligent automation.


We are building the tools for the future. As our 2026 Architect, you will work with elite engineers to deploy scalable solutions that push the boundaries of machine learning and quantum integration.

Responsibilities

  • Define the 2026 Roadmap: Lead the technical strategy for the company's product evolution, identifying key technologies to integrate for the 2026 release cycle.
  • System Architecture: Design robust, scalable, and secure distributed systems capable of handling high-throughput AI workloads.
  • Emerging Tech Integration: Evaluate and prototype emerging technologies (e.g., neuromorphic computing, advanced LLMs) to enhance our product suite.
  • Engineering Leadership: Mentor a team of senior developers and data scientists, fostering a culture of innovation and technical excellence.
  • Performance Optimization: Oversee the tuning and optimization of our core algorithms to ensure sub-millisecond latency in critical applications.
  • Stakeholder Management: Collaborate with C-suite executives and product teams to translate complex technical visions into actionable development plans.

Qualifications

  • Experience: 8+ years in software engineering with 5+ years in senior architecture roles, specifically within AI or high-frequency trading environments.
  • Technical Mastery: Deep expertise in Python, C++, and Rust. Hands-on experience with TensorFlow, PyTorch, and cloud infrastructure (AWS/GCP).
  • Education: BS/MS in Computer Science, Mathematics, or a related field; PhD in a relevant discipline is a strong plus.
  • Problem Solving: Proven ability to solve complex, unstructured problems in large-scale distributed systems.
  • Innovation: A track record of implementing novel solutions and patents in the field of artificial intelligence.
  • Communication: Excellent verbal and written communication skills, capable of articulating complex concepts to diverse audiences.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python C++ Cloud Computing Leadership Quantum Computing Agile

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