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2026 R&D Lead - Future Technology

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Mei 2026
Deadline
30 Mei 2027

Job Description

We are building the infrastructure for the year 2026 and beyond. As a 2026 R&D Lead at Apex Future Systems, you will be at the forefront of technological innovation, bridging the gap between today's capabilities and tomorrow's possibilities. Our mission is to pioneer the next generation of intelligent, autonomous systems that will redefine human-machine interaction.

In this role, you will lead a high-performance team of engineers and data scientists to develop scalable, quantum-ready architectures. You will define the technical roadmap that ensures our platforms remain cutting-edge as we approach the 2026 horizon and beyond.

Responsibilities

  • Lead the Research and Development division in designing scalable, future-proof system architectures.
  • Oversee the integration of emerging technologies, including advanced AI, edge computing, and predictive modeling.
  • Collaborate with cross-functional teams to translate strategic vision into actionable technical roadmaps.
  • Mentor and coach engineering talent, fostering a culture of continuous innovation and technical excellence.
  • Identify and evaluate new technological trends and methodologies relevant to the 2026 landscape.
  • Drive the implementation of secure, high-performance software solutions for complex global challenges.

Qualifications

  • Master’s or PhD degree in Computer Science, Engineering, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in a leadership or architecture role.
  • Deep expertise in AI/ML frameworks, distributed systems, and cloud infrastructure (AWS/GCP/Azure).
  • Proven track record of leading teams through complex product lifecycles and technical transformations.
  • Strong understanding of quantum computing principles and their application in modern software engineering.
  • Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning System Architecture Cloud Computing Quantum Computing Leadership Python Go Kubernetes AWS

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