Join Mirendil as a Systems Engineer to optimize AI workloads and enhance performance across distributed systems.
Posted by employer 5 hours ago
First seen on Joblaze 5 hours ago
Last verified on the company career page 5 hours ago
Skills & Technologies
What you'll build
- AI workload and system co-design
- Performance engineering
- Design reliable distributed systems
- Optimize heterogeneous compute and workloads
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In this role, the engineer focuses on optimizing compute resources by identifying and alleviating bottlenecks in distributed systems. Key skills include performance engineering, system co-design for AI workloads, and designing reliable systems that manage data and tasks across multiple machines. This position is suited for experienced professionals with a strong background in systems engineering and distributed computing. Mirendil is a tech-driven company aiming to advance AI research, indicating a collaborative environment centered on innovation.
Joblaze insights
- Listed today — first seen on Joblaze September 29, 2026. Last confirmed on Mirendil's careers page September 29, 2026.
- Salary band is above the typical range for AI/ML roles (median ~$190,000).
- Starts above 74% of 53 comparable staff ai/ml roles in United States that list AI/ML we track (median $222,716 across 25 companies). See AI/ML salary trends
- AI/ML appears in 32.5% of 265 comparable staff ai/ml roles in United States; distributed systems appears in 8.3% of 265 comparable staff ai/ml roles in United States.
Quick facts
- What's the salary range?
- Mirendil lists $300,000–$400,000 for this role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, distributed systems, heterogeneous compute, performance engineering.
- What seniority level is this role?
- Mirendil targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Member of Technical Staff, Distributed Systems Engineer role at Mirendil.
From the original posting
The Role
We have a lot of compute, and a lot more work for it. We’re looking for a Systems Engineer who knows how to find bottlenecks and move them somewhere we can live with. Your work determines how much goodput we get out of our compute. Some example areas you might work on:
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
We offer a base salary of $300,000–$400,000 and a meaningful equity grant, depending on experience and background, along with competitive benefits.
Standard company text repeated across Mirendil's postings is omitted here.