Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution! We're seeking visionary Senior AI/ML Engineers to architect quantum-computing-integrated solutions that will redefine industry standards. Our Austin-based innovation hub offers unparalleled resources to transform theoretical breakthroughs into real-world applications. Enjoy competitive equity packages, cutting-edge R&D budgets, and collaborative workspaces where your ideas shape tomorrow's digital landscape.
Responsibilities
- Design and implement quantum-enhanced machine learning algorithms for complex optimization problems
- Lead development of hybrid quantum-classical computing frameworks in Python/C++
- Collaborate with quantum physicists to model decoherence-resistant neural networks
- Architect scalable ML pipelines processing petabytes of quantum sensor data
- Mentor cross-functional teams in quantum machine learning best practices
- Present breakthrough findings at premier 2026 tech symposiums
Qualifications
- PhD in Quantum Computing, Machine Learning, or equivalent experience
- 5+ years developing production-grade ML systems with quantum integration
- Expertise in TensorFlow Quantum, PennyLane, or Qiskit frameworks
- Published research in quantum machine learning or related fields
- Proficiency with high-performance computing environments (HPC, GPU clusters)
- Strong background in topology optimization and quantum error correction