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Senior AI/Quantum Research Engineer - 2026 Roadmap

NextGen Horizon 2026
Austin
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are at the forefront of the technological singularity. As a Senior AI/Quantum Research Engineer, you will be responsible for architecting the neural architectures and quantum algorithms that will define our roadmap through 2026 and beyond. We are not just building software; we are engineering the future of human-computer interaction.

Why Join Us?

NextGen Horizon 2026 is a pioneer in synthetic intelligence and quantum processing. We offer a competitive compensation package, fully remote-first culture, and the opportunity to work on projects that have a global impact. You will be mentored by industry veterans and given the autonomy to experiment with cutting-edge technology.

Responsibilities

  • Lead R&D: Spearhead the development of proprietary quantum machine learning models and next-generation neural networks.
  • Architecture Design: Design scalable, fault-tolerant systems capable of handling exascale computations.
  • Algorithm Optimization: Refine core algorithms to improve inference speed and accuracy by over 40% for our target deployment in 2026.
  • Prototyping: Build and validate proof-of-concepts (PoCs) for novel AI applications in autonomous systems and predictive analytics.
  • Cross-Functional Collaboration: Work closely with product managers and data scientists to translate complex requirements into technical specifications.
  • System Integration: Integrate AI models into our cloud infrastructure, ensuring seamless deployment and monitoring.
  • Technical Mentorship: Guide junior engineers and interns, fostering a culture of innovation and technical excellence.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related field with a focus on AI/Quantum Computing.
  • Experience: Minimum of 5 years of professional experience in machine learning, deep learning, or quantum computing research.
  • Technical Skills: Proficiency in Python, C++, CUDA, and TensorFlow/PyTorch. Experience with quantum simulators (Qiskit, Cirq) is highly preferred.
  • Problem Solving: Demonstrated ability to solve complex, open-ended technical problems with creative solutions.
  • Communication: Exceptional written and verbal communication skills, with the ability to present complex technical concepts to non-technical stakeholders.
  • Agile Mindset: Experience working in Agile/Scrum environments and adapting quickly to changing project requirements.
  • Passion: A deep passion for the future of technology and a desire to push the boundaries of what is currently possible.

Required Skills

Python Machine Learning Quantum Computing Deep Learning C++ CUDA TensorFlow PyTorch System Architecture Research and Development

Ready to Take This Challenge?

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