Staff Systems Engineer AI Performance & Distributed Compute

Mirendil Inc.; United States; On-site; USD 300,000 - 400,000; Full time

Benefits offered by this job

Equity grant

Competitive benefits

Job summary

Mirendil is seeking a Systems Engineer to optimize compute for large-scale AI workloads. You will identify bottlenecks, design cross-stack improvements, and ensure efficient, reliable operation across heterogeneous compute resources.

The role emphasizes performance profiling, distributed systems, and scalable architecture across CPUs and accelerators. This position offers a base salary in the range of $300,000–$400,000 with a meaningful equity grant and competitive benefits, reflecting

Responsibilities

• AI workload and system co-design - rethink the AI application, execution, and hardware choices together to improve performance across the stack
• Performance engineering - profile across the stack, find where time and resources go, and fix what matters
• Reliable distributed systems - design how work and data move across machines, balancing parallelism, communication, and correctness under load and failure
• Heterogeneous compute and workloads - make large-scale mixes of sandboxes, agent harnesses, training, and inference run efficiently together across CPUs and accelerators

Job description

Mirendil is seeking a Systems Engineer to optimize compute for large-scale AI workloads. You will identify bottlenecks, design cross-stack improvements, and ensure efficient, reliable operation across heterogeneous compute resources.

The role emphasizes performance profiling, distributed systems, and scalable architecture across CPUs and accelerators. This position offers a base salary in the range of $300,000–$400,000 with a meaningful equity grant and competitive benefits, reflecting