Job Description
Are you ready to architect the future?
Nexus Horizon is pioneering the next generation of generative AI infrastructure. As we embark on our Project 2026 roadmap, we are seeking a visionary Senior AI Infrastructure Engineer to build scalable, secure, and high-performance systems that power the next decade of innovation.
In this role, you will bridge the gap between cutting-edge AI research and robust production engineering. You will lead the design and deployment of large-scale machine learning pipelines, ensuring our models are not only state-of-the-art but also reliable and efficient at scale. If you are passionate about solving complex problems and want to shape the technology stack of 2026, we want to hear from you.
Why join Nexus Horizon?
- Work with a world-class team of researchers and engineers.
- Competitive compensation package and equity options.
- Flexible remote-first culture with headquarters in the heart of San Francisco.
Responsibilities
- Design & Deployment: Lead the architecture and deployment of scalable AI/ML infrastructure on cloud platforms (AWS/GCP/Azure) to support Project 2026 milestones.
- Optimization: Optimize training and inference pipelines to reduce latency and cost while maximizing model performance.
- Security & Compliance: Implement rigorous security protocols to ensure data privacy and compliance with industry standards (GDPR, SOC2).
- Collaboration: Partner with data scientists and software engineers to translate research models into production-ready applications.
- Monitoring: Establish robust observability and monitoring systems to proactively identify and resolve infrastructure bottlenecks.
Qualifications
- Experience: 7+ years of experience in software engineering, with at least 4 years specializing in AI/ML infrastructure or MLOps.
- Programming: Proficiency in Python, Java, or Go, with deep knowledge of ML frameworks (TensorFlow, PyTorch, JAX).
- Cloud Mastery: Strong hands-on experience with cloud services, containerization (Docker, Kubernetes), and orchestration.
- Architecture: Proven track record of designing high-availability systems and distributed computing environments.
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.