About the Role
The intern will assist in analyzing and refining data flow architectures, contributing to the development of efficient communication patterns across processing units and memory hierarchies.
Responsibilities
- Assist in modeling and simulating data movement across system components
- Evaluate performance bottlenecks in data transfer pathways
- Collaborate with hardware and software teams to align data flow designs
- Document architectural trade-offs and implementation strategies
- Support the development of tools for monitoring data throughput
- Analyze memory access patterns to optimize data placement
- Contribute to the refinement of interconnect topologies
- Help validate data routing algorithms under real-world workloads
- Participate in design reviews and technical discussions
- Investigate power and latency implications of data movement choices
Nice to Have
- Prior academic or project experience with processor design
- Exposure to hardware description languages such as Verilog or VHDL
- Experience with performance analysis of computing systems
- Knowledge of network-on-chip or interconnection networks
- Background in AI/ML workloads and their data requirements
Compensation
Competitive hourly rate or stipend based on experience and location
Work Arrangement
Hybrid work model with partial in-office and remote flexibility
Team
Collaborative engineering team focused on high-performance computing and AI acceleration
What You’ll Learn
- Gain hands-on experience with cutting-edge data movement architectures
- Work alongside experienced engineers on scalable system design
- Deepen understanding of how data flows through high-performance chips
Environment
- Fast-paced, research-driven setting with rapid iteration
- Open culture that encourages technical debate and innovation
- Access to advanced tools and internal frameworks
Does not currently offer visa sponsorship for this position
