Job Description
Are you ready to define the landscape of technology in 2026?
We are Apex Horizon Technologies, a pioneer in futuristic computing, seeking a visionary Senior AI & Quantum Systems Engineer to join our elite engineering team in San Francisco. In this pivotal role, you will architect the computational infrastructure that will power the next generation of autonomous systems and quantum applications.
We are not just building for today; we are building for the 2026 roadmap and beyond. If you possess a deep understanding of machine learning, quantum mechanics, and scalable system design, we want to hear from you.
Why Join Us?
• Work on groundbreaking projects that shape the future of AI.
• Competitive compensation package with equity options.
• Top-tier health, dental, and vision benefits.
• Flexible remote and hybrid work options.
Responsibilities
- Architect Future-Ready Systems: Design and implement scalable AI architectures that integrate seamlessly with emerging quantum computing protocols.
- Lead Technical Strategy: Translate the company's 2026 vision into technical roadmaps, ensuring feasibility and innovation at every step.
- Optimize Performance: Continuously refine algorithms to improve computational efficiency and reduce latency in high-stakes environments.
- Collaborate & Mentor: Work closely with cross-functional teams (Data Science, Hardware Engineering) and mentor junior engineers to foster a culture of excellence.
- Research & Development: Stay at the forefront of industry trends in AI, quantum supremacy, and neural networks.
- Deployment: Oversee the deployment of models into production environments, ensuring stability and security.
Qualifications
- Education: Master’s degree in Computer Science, Physics, Mathematics, or a related field (PhD preferred).
- Experience: 5+ years of professional experience in AI/ML engineering and system architecture.
- Technical Skills: Proficiency in Python, C++, and quantum simulation libraries (e.g., Qiskit, Cirq).
- Knowledge: Deep understanding of machine learning frameworks (TensorFlow, PyTorch) and distributed systems.
- Problem Solving: Strong analytical skills with a proven track record of solving complex engineering challenges.
- Communication: Excellent verbal and written communication skills, capable of presenting complex technical concepts to non-technical stakeholders.