Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next wave of quantum AI integration. We're seeking visionary engineers to develop revolutionary algorithms that will redefine computational boundaries by 2026. Our Austin-based hub combines cutting-edge research with agile development in a collaborative, startup-like environment. You'll work alongside Nobel-caliber minds on projects that bridge quantum mechanics, machine learning, and real-world applications across healthcare, climate modeling, and cryptography.
We offer competitive equity packages, unlimited learning stipends, and flexible work arrangements designed for peak innovation. Our mission: To build the quantum-powered tools that solve humanity's most complex challenges before 2030.
Responsibilities
- Design and implement quantum neural network architectures for unsupervised learning systems
- Develop hybrid quantum-classical algorithms for optimization problems at scale
- Create error mitigation protocols for NISQ-era quantum processors
- Collaborate with cross-functional teams to prototype quantum-secure communication protocols
- Lead open-source contributions to quantum machine learning frameworks
- Present breakthrough research at international quantum computing symposiums
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in quantum circuit design and error correction methodologies
- Proficiency in quantum programming languages (Qiskit, Cirq, PennyLane)
- Strong background in machine learning frameworks (TensorFlow Quantum, PyTorch)
- Publication record in top-tier quantum computing journals (Nature Quantum, PRL)
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)