Job Description
Nexus Horizon Technologies is at the forefront of the 2026 technological paradigm shift. We are building the foundational infrastructure that will power the next generation of autonomous systems and generative AI models. We are seeking a visionary Senior AI & Quantum Infrastructure Engineer to join our elite engineering team in San Francisco.
In this pivotal role, you will architect and maintain the high-performance computing environments necessary to train complex neural networks and integrate quantum processing units. If you are driven by the challenge of scaling AI to the next level and want to be part of the team defining the future of tech in 2026, we want to hear from you.
Why Join Nexus Horizon?
• Work with state-of-the-art hardware and software stacks.
• Competitive equity and benefits package.
• Flexible remote/hybrid work options.
Responsibilities
- Design and deploy scalable infrastructure for large-scale AI model training and inference, focusing on hybrid classical-quantum systems.
- Optimize GPU clusters and high-performance computing (HPC) environments to reduce latency and maximize throughput.
- Collaborate with quantum research teams to integrate quantum algorithms into classical machine learning pipelines.
- Implement robust CI/CD pipelines and containerization strategies (Docker/Kubernetes) for seamless deployment.
- Monitor system performance and reliability, implementing auto-scaling solutions to handle fluctuating workloads.
- Conduct code reviews and mentor junior engineers in best practices for distributed systems and AI infrastructure.
Qualifications
- 7+ years of experience in systems engineering, DevOps, or infrastructure architecture.
- Strong proficiency in Python, C++, and at least one major cloud provider (AWS, GCP, or Azure).
- Experience with container orchestration (Kubernetes) and serverless architectures.
- Familiarity with quantum computing concepts, Qiskit, or Cirq is a significant plus.
- Deep understanding of deep learning frameworks (TensorFlow, PyTorch) and distributed training strategies.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field.