Senior Distributed Systems Engineer for AI Compute

Mirendil Inc.; San Francisco (CA); On-site; USD 300,000 - 400,000; Full time

Benefits offered by this job

Equity grant

Job summary

Mirendil Inc. is seeking a Systems Engineer in San Francisco to locate bottlenecks and optimize how compute is utilized. You will influence AI workload design, system co-design, and data movement across machines to maximize goodput while ensuring correctness under load and failure.

The role emphasizes performance engineering for heterogeneous CPU and accelerator workloads. The company offers a base salary 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 Inc. is seeking a Systems Engineer in San Francisco to locate bottlenecks and optimize how compute is utilized. You will influence AI workload design, system co-design, and data movement across machines to maximize goodput while ensuring correctness under load and failure.

The role emphasizes performance engineering for heterogeneous CPU and accelerator workloads. The company offers a base salary of $300,000–$400,000 with a meaningful equity grant and competitive benefits, reflecting