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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Readiness Engineer

Apex Innovation Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future? Apex Innovation Labs is seeking a visionary Senior AI & Quantum Readiness Engineer to lead our strategic roadmap for 2026. In this pivotal role, you will bridge the gap between theoretical quantum computing and practical AI deployment, ensuring our infrastructure is future-proof for the next decade.

We are not just building software; we are defining the 2026 technological landscape. You will work alongside top-tier researchers and engineers to integrate advanced machine learning models with next-gen hardware architectures.

Why Join Us?

  • Work on projects that define the next era of computing.
  • Competitive compensation package and equity options.
  • Flexible remote-first policy with a hub in the heart of SF.
  • Access to cutting-edge hardware and research facilities.

Responsibilities

  • Lead the architectural design and implementation of scalable AI systems optimized for 2026 hardware standards.
  • Collaborate with quantum computing researchers to develop hybrid algorithms that leverage quantum superposition for machine learning tasks.
  • Define and execute the technology roadmap, identifying emerging trends in AI and quantum integration.
  • Mentor a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Ensure data security, latency optimization, and model scalability across distributed cloud environments.
  • Conduct rigorous performance testing and feasibility studies for next-gen neural network architectures.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related field (10+ years of experience in lieu of degree).
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Experience with quantum computing libraries (Qiskit, Cirq) or familiarity with post-quantum cryptography.
  • Proven track record of deploying large-scale machine learning models in production environments.
  • Strong understanding of cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow Quantum Computing Cloud Architecture Distributed Systems Python AWS GCP

Ready to Take This Challenge?

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

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