Job Description
Are you ready to define the future of technology?
Nebula Future Systems is seeking a visionary AI Lead Engineer to spearhead our 2026 strategic roadmap. We are building the infrastructure for a hyper-connected, AI-driven world, and we need a technical leader who can bridge the gap between theoretical breakthroughs and scalable production systems.
In this role, you will not just write code; you will architect the neural networks and ethical frameworks that will power the next decade of human-machine interaction. If you are passionate about pushing the boundaries of Generative AI, Quantum Computing integration, and Synthetic Intelligence, we want to hear from you.
Why join Nebula Future Systems?
- Impactful Work: Directly influence the trajectory of AI development for 2026 and beyond.
- Innovation-First Culture: Work with state-of-the-art hardware and software stacks.
- Competitive Compensation: Top-tier salary plus equity packages.
Join us in shaping the future.
Responsibilities
- Lead the architecture and development of next-generation Generative AI models, targeting deployment by Q4 2026.
- Define and implement the technical roadmap for integrating quantum computing elements into classical AI workflows.
- Collaborate with cross-functional teams (Data Science, Ethics Board, Product) to ensure AI safety and transparency.
- Optimize model inference latency and cost-efficiency for edge deployment.
- Mentor senior engineers and junior developers, fostering a culture of continuous learning and technical excellence.
- Stay ahead of industry trends, specifically focusing on advancements relevant to the 2026 technological landscape.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related field (or equivalent professional experience).
- 10+ years of experience in software engineering, with at least 5 years in a senior AI/ML leadership role.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
- Proven track record of deploying large-scale machine learning models into production environments.
- Experience with quantum algorithms (Qiskit, Cirq) is a strong plus.
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.