Job Description
Shape the Future of Computing.
At Veridian Systems Inc., we are not just building software; we are architecting the infrastructure for the year 2026 and beyond. We are seeking a visionary Lead AI & Quantum Systems Architect to spearhead the development of next-generation, hybrid quantum-classical AI models. If you are passionate about solving the world's most complex problems at the intersection of machine learning and quantum mechanics, this is your opportunity to lead from the front.
Why Join Us?
We are a fast-paced, innovation-first environment offering equity packages, top-tier benefits, and the chance to work on projects that define the technological landscape of the future.
Responsibilities
- Architectural Leadership: Design and implement scalable, high-performance quantum-classical hybrid algorithms and system architectures for enterprise-level applications.
- Research & Development: Stay at the forefront of AI and quantum computing advancements, evaluating emerging technologies (e.g., NISQ devices, neural networks on quantum hardware) to integrate into our product suite.
- Team Mentorship: Lead, mentor, and grow a high-performing team of AI engineers and quantum researchers, fostering a culture of technical excellence and continuous learning.
- System Optimization: Optimize existing codebases for quantum hardware constraints, ensuring minimal error rates and maximum computational efficiency.
- Strategic Planning: Define the technical roadmap for AI initiatives, collaborating with product managers and stakeholders to translate business goals into technical realities.
- Prototyping: Rapidly prototype complex AI solutions to validate feasibility and performance before full-scale deployment.
- Compliance & Security: Ensure all AI systems adhere to industry standards for data privacy, security, and ethical AI usage.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing or Artificial Intelligence.
- Experience: Minimum of 8+ years of professional experience in software engineering, machine learning, or systems architecture.
- Technical Skills: Deep expertise in Python, C++, and quantum computing frameworks such as Qiskit, Cirq, or PennyLane.
- Algorithmic Proficiency: Strong background in linear algebra, probability, and complex systems theory.
- Cloud Mastery: Experience deploying models on cloud platforms (AWS, GCP, Azure) with a preference for specialized quantum cloud services.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and cross-functional teams.
- Problem Solving: Demonstrated history of tackling unsolved problems and driving innovation in a dynamic environment.