Job Description
We are Nebula Systems, a pioneering force in the 2026 computing revolution. We are looking for a visionary Senior AI Architect to lead the design and implementation of next-generation neural networks and quantum-classical hybrid systems. If you are passionate about shaping the technological landscape of the future and thrive in a high-performance environment, we want to meet you.
Why Join Us?
As we bridge the gap between theoretical AI and practical 2026-era infrastructure, you will have the autonomy to architect systems that define the industry standard. We offer competitive compensation, equity packages, and a culture that prioritizes innovation and technical excellence.
Responsibilities
- Architectural Leadership: Design and oversee the development of scalable AI infrastructure capable of handling next-generation data loads and quantum processing requirements.
- Hybrid System Design: Spearhead the integration of classical machine learning models with emerging quantum computing paradigms.
- Technical Strategy: Define the technical roadmap for 2026-era computing, ensuring our solutions remain at the cutting edge of efficiency and accuracy.
- Team Mentorship: Guide a team of elite engineers and data scientists, fostering a culture of continuous learning and technical rigor.
- Optimization: Continuously analyze and optimize neural network architectures for reduced latency and increased throughput.
- R&D Collaboration: Partner with our research division to translate theoretical advancements into deployable production systems.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Physics, Applied Mathematics, or a related field.
- Experience: 7+ years of experience in AI/ML engineering, with at least 2 years in a senior architectural or leadership role.
- Technical Stack: Deep proficiency in Python, C++, and frameworks such as PyTorch, TensorFlow, or JAX. Experience with quantum computing libraries (e.g., Qiskit, Cirq) is highly desirable.
- System Design: Proven track record of designing large-scale distributed systems and high-availability cloud architectures.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems and innovate under tight deadlines.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.