Job Description
Are you ready to architect the future of intelligence? Apex Future Systems is looking for a visionary Senior AI & Quantum Integration Engineer to lead our next-generation neural network initiatives. In this pivotal role, you will bridge the gap between classical machine learning and emerging quantum computing paradigms, deploying scalable AI solutions that will define the technology landscape of 2026 and beyond.
We are not just building software; we are engineering the fabric of tomorrow's digital reality. If you possess an insatiable curiosity for the bleeding edge of tech and a drive to solve humanity's most complex problems, we want to meet you.
Why Join Apex Future Systems?
- Revolutionary Impact: Work on projects that will be industry standards within the next two years.
- Top-Tier Compensation: Competitive salary, equity, and comprehensive benefits.
- Flexible Environment: Hybrid work model based in our San Francisco HQ.
Responsibilities
- Design, develop, and deploy scalable AI architectures integrating classical ML with quantum computing modules.
- Lead the end-to-end lifecycle of machine learning models, from data ingestion to production deployment using Kubernetes and Docker.
- Collaborate with cross-functional teams of data scientists, quantum physicists, and software engineers to define technical roadmaps.
- Optimize algorithms for high-performance computing environments, ensuring minimal latency and maximum throughput.
- Conduct rigorous code reviews and mentor junior engineers to foster a culture of excellence and innovation.
- Stay ahead of the curve by researching and prototyping emerging technologies such as neuromorphic computing and edge AI.
- Document technical specifications and architectural decisions to ensure maintainability and scalability.
Qualifications
- Master’s degree or PhD in Computer Science, Physics, Mathematics, or a related field (or equivalent industry experience).
- Minimum of 7+ years of professional software engineering experience with a focus on Artificial Intelligence and Machine Learning.
- Proficiency in Python, TensorFlow, PyTorch, and C++ for high-performance computing.
- Familiarity with quantum computing frameworks such as Qiskit, Cirq, or PennyLane.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies.
- Proven track record of leading technical projects and mentoring engineering teams.
- Exceptional problem-solving skills with a deep understanding of data structures, algorithms, and distributed systems.