Job Description
Are you ready to architect the digital foundation for the year 2026? QuantumCore Systems is seeking a visionary Senior AI Infrastructure Engineer to spearhead our flagship initiative, Project 2026.
We are building the next generation of autonomous neural networks, and we need a technical leader who thrives in high-stakes environments. You will be responsible for designing the infrastructure that powers our predictive algorithms, ensuring they are scalable, secure, and capable of processing petabytes of data in real-time.
If you are passionate about the intersection of machine learning, distributed systems, and the future of technology, this is your opportunity to shape the trajectory of the industry.
Responsibilities
- Architect Scalable Systems: Design and implement high-throughput, low-latency data pipelines for training and deploying next-gen AI models.
- Heterogeneous Computing: Optimize model inference across a mix of classical GPUs, TPUs, and emerging quantum hardware accelerators.
- Cloud & On-Prem Hybrid: Lead the migration and management of complex cloud-native and on-premise infrastructure stacks.
- Security & Compliance: Enforce rigorous security protocols to protect proprietary algorithms and sensitive training data.
- Collaborative Innovation: Work closely with R&D teams to bridge the gap between theoretical research and production-ready engineering.
- Team Leadership: Mentor junior engineers, conduct code reviews, and establish technical best practices for the Project 2026 team.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Electrical Engineering, or a related technical field.
- Experience: 7+ years of professional experience in backend engineering, DevOps, or Machine Learning Operations (MLOps).
- Technical Stack: Proficiency in Python, C++, and Rust; deep knowledge of containerization (Docker/Kubernetes) and orchestration tools.
- System Design: Strong understanding of distributed systems theory, message queues, and database technologies (e.g., Kafka, Cassandra).
- Problem Solving: Demonstrated ability to troubleshoot complex performance bottlenecks in large-scale production environments.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.