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Future Systems Architect (2026 Focus)

OmniCorp Technologies
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? OmniCorp Technologies is seeking a visionary Future Systems Architect to lead our R&D division. We are not just building software; we are architecting the future of human-computer interaction and quantum integration.

In this pivotal role, you will bridge the gap between theoretical AI research and practical, scalable engineering solutions. You will be responsible for designing the systems that will power our clients' operations well into the next decade. If you are a forward-thinker who thrives in ambiguity and possesses an obsession with performance and scalability, we want to hear from you.

Why Join Us?

  • Work on cutting-edge projects that define the industry standard.
  • Competitive compensation package with equity options.
  • Flexible remote-first work culture.
  • Access to state-of-the-art computing resources and research grants.

Responsibilities

  • Architect and design scalable, fault-tolerant systems for next-generation AI applications.
  • Lead the integration of quantum computing protocols into legacy infrastructure.
  • Collaborate with cross-functional teams to translate research findings into production-ready code.
  • Mentor junior engineers and establish best practices for code quality and system security.
  • Conduct rigorous performance testing and optimization for latency reduction.
  • Stay ahead of industry trends in machine learning, blockchain, and edge computing.
  • Define technical roadmaps for the 2026 product release cycle.

Qualifications

  • Master’s or PhD in Computer Science, Physics, or a related technical field.
  • Minimum of 5 years of experience in full-stack software engineering, with a focus on backend systems.
  • Deep understanding of distributed systems, microservices, and containerization (Kubernetes/Docker).
  • Proficiency in Python, Rust, or Go, with experience in AI/ML frameworks (TensorFlow/PyTorch).
  • Proven track record of leading technical teams through complex architectural challenges.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
  • Must be authorized to work in the United States without sponsorship.

Required Skills

Python Rust Go Kubernetes Docker Machine Learning Quantum Computing Distributed Systems AWS System Architecture

Ready to Take This Challenge?

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