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Information Technology 🏢 Full Time ⭐️ Verified

Lead Futurist Engineer: The 2026 Initiative

OmniCore Systems
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to engineer the future before it arrives? OmniCore Systems is seeking a visionary Lead Futurist Engineer to spearhead our 2026 Initiative. In this pivotal role, you will bridge the gap between cutting-edge research and production-ready scalable systems, defining the technological roadmap for the next decade.

We are not just building software; we are architecting the foundation of the 2026 digital ecosystem. You will work alongside world-class researchers and engineers to deploy autonomous systems and predictive AI models that will redefine industry standards.

Why join us?

  • Impact: Directly influence the trajectory of technology for the year 2026 and beyond.
  • Growth: Work with state-of-the-art hardware and AI frameworks.
  • Culture: A premium, remote-first culture that values autonomy, curiosity, and high performance.

Responsibilities

  • Architect the 2026 Roadmap: Design and implement the technical strategy for our upcoming AI infrastructure, ensuring scalability and security for the year 2026 and beyond.
  • Pioneering Research: Lead experimental projects involving generative AI, quantum computing interfaces, and autonomous decision-making systems.
  • Team Leadership: Mentor a high-performing engineering team, fostering a culture of innovation and technical excellence.
  • Cross-Functional Collaboration: Partner with product managers and designers to translate futuristic concepts into tangible user experiences.
  • Risk Management: Identify potential technical bottlenecks and architectural risks in the long-term development cycle.
  • Performance Optimization: Ensure systems are robust, low-latency, and capable of handling massive data throughput.

Qualifications

  • Experience: 7+ years of software engineering experience, with at least 3 years in a leadership or senior architect role.
  • Technical Stack: Deep expertise in Python, C++, and distributed systems. Experience with TensorFlow, PyTorch, or similar ML frameworks is essential.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree or PhD is a strong plus.
  • Innovation Mindset: Proven track record of working on bleeding-edge technologies or experimental projects.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.
  • Problem Solving: Demonstrated ability to solve ambiguous problems with creative, scalable engineering solutions.

Required Skills

Python Machine Learning Distributed Systems System Architecture AI Ethics Cloud Computing Kubernetes AWS TensorFlow Leadership

Ready to Take This Challenge?

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

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