Job Description
We are seeking a visionary Senior AI Infrastructure Engineer to join our elite engineering team at Nexus Future Systems. In this role, you will be at the forefront of designing and deploying the resilient, scalable systems required to power next-generation artificial intelligence and quantum computing solutions. If you are passionate about the future of technology and thrive in a fast-paced, innovative environment, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that define the future of digital intelligence.
- Competitive compensation and equity package.
- Flexible remote-first culture with state-of-the-art equipment.
Responsibilities
- Design, implement, and maintain high-availability, distributed systems optimized for AI workloads.
- Collaborate with data scientists and ML engineers to integrate scalable inference pipelines.
- Optimize cloud infrastructure (AWS/Azure/GCP) for cost-efficiency and performance.
- Ensure the security, compliance, and reliability of critical data assets.
- Lead architectural decisions and mentor junior engineers in best practices for cloud-native development.
- Conduct regular system audits and performance tuning to support 99.99% uptime.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s preferred.
- 7+ years of experience in software engineering, cloud architecture, or infrastructure.
- Deep expertise in Python, Go, or C++.
- Strong proficiency in containerization (Docker/Kubernetes) and orchestration.
- Experience with ML frameworks (TensorFlow, PyTorch) and distributed computing environments.
- Excellent problem-solving skills and ability to work in a cross-functional agile team.