Job Description
The Future is Here. At 2026, we are on a mission to engineer the impossible. We are not just building software; we are architecting the next generation of artificial intelligence that will redefine human potential. As a Senior Quantum AI Engineer, you will be at the forefront of a technological revolution, working on cutting-edge systems that solve problems previously deemed unsolvable.
We are looking for a visionary, self-driven individual to join our elite engineering team in Austin. If you are passionate about the intersection of quantum mechanics and machine learning, and you thrive in a fast-paced, high-stakes environment, we want to hear from you.
Why Join 2026?
- Work with the brightest minds in the tech industry.
- Competitive compensation and equity package.
- Unlimited PTO and top-tier healthcare benefits.
- State-of-the-art office in the heart of Austin's tech district.
Responsibilities
- Architect Core Systems: Design and implement scalable quantum algorithms and deep learning models that power our next-generation AI products.
- Optimization & Efficiency: Continuously refine existing systems to maximize computational efficiency, reduce latency, and lower operational costs.
- Research & Development: Stay at the bleeding edge of quantum computing research and apply theoretical advancements to practical engineering solutions.
- Technical Leadership: Mentor junior engineers, conduct code reviews, and establish best practices for the engineering department.
- Collaboration: Partner with product managers and data scientists to translate complex business requirements into robust technical architectures.
- Deployment: Oversee the CI/CD pipeline and ensure seamless deployment of AI models into production environments.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Physics, Applied Mathematics, or a related quantitative field.
- Experience: 5+ years of professional experience in machine learning, deep learning, or quantum computing.
- Programming: Expert proficiency in Python, C++, and CUDA. Experience with frameworks like TensorFlow, PyTorch, or Qiskit.
- Cloud Infrastructure: Strong background in cloud computing (AWS, GCP, or Azure) and distributed systems.
- Problem Solving: Demonstrated ability to tackle complex, ambiguous problems and deliver innovative solutions.
- Communication: Excellent written and verbal communication skills with the ability to explain complex technical concepts to non-technical stakeholders.