Job Description
Shape the Future of Technology in 2026
Are you ready to define the technological landscape of 2026 and beyond? Apex Quantum Solutions is looking for a visionary Senior AI & Quantum Systems Engineer to join our elite R&D division. As we stand on the precipice of a new era in computing, you will be at the forefront of merging classical artificial intelligence with emerging quantum computing architectures.
In this role, you won't just be building software; you will architect the fundamental systems that will power next-generation industries. We offer a competitive package, remote-first flexibility, and the opportunity to work on projects that are currently reshaping the world.
Why Join Us?
- Work with cutting-edge hardware and software stacks.
- Competitive equity and stock options.
- Unlimited PTO and professional development budget.
- Be part of a team that is defining the roadmap for 2026.
Responsibilities
- Architect Hybrid Systems: Design and implement scalable algorithms that integrate classical machine learning models with quantum processors to solve complex optimization problems.
- Quantum Simulation: Develop high-fidelity quantum simulation environments to test and validate neural network architectures before deployment on real quantum hardware.
- Code Optimization: Refactor and optimize existing codebases to ensure minimal latency and maximum throughput in cloud-based quantum environments.
- Technical Leadership: Mentor a team of junior engineers and data scientists, conducting code reviews and architectural walkthroughs to maintain high engineering standards.
- R&D Strategy: Collaborate with CTOs and product managers to identify emerging trends in quantum computing and propose strategic R&D initiatives for the 2026 roadmap.
- Documentation: Create comprehensive technical documentation, white papers, and API specifications to facilitate knowledge transfer and system scalability.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field with a focus on Computational Intelligence.
- Experience: Minimum of 5 years of professional software engineering experience, with at least 2 years specifically focused on AI/ML or Quantum Computing.
- Technical Skills: Proficiency in Python, C++, and CUDA. Hands-on experience with quantum SDKs such as Qiskit, Cirq, or Amazon Braket.
- Frameworks: Deep understanding of TensorFlow, PyTorch, or JAX, and the ability to port models to quantum-friendly formats.
- Cloud Infrastructure: Experience deploying models on AWS, GCP, or Azure with a focus on high-performance computing (HPC) clusters.
- Soft Skills: Exceptional problem-solving abilities, excellent communication skills, and a passion for exploring the unknown.