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Merlinlabs2mo ago

Director, Compute Platform

Boston,BostonFull Timeexecutive
OtherDevOps & InfrastructureDirector
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Quick Summary

Overview

About Merlin: Merlin is a venture backed aerospace startup building a non-human pilot to enable both reduced crew and uncrewed flight. Backed by some of the world’s leading investors, Merlin is scaling alongside our customers to begin leveraging autonomy today to solve some of aviation’s biggest…

Requirements Summary

You are a senior platform leader who understands that autonomous flight demands uncompromising reliability, real-time performance, and scalable infrastructure.

Technical Tools
cppgopythondistributed-systemsetlmentoringnetworkingperformance-optimizationsystem-design
About Merlin:
Merlin is a venture backed aerospace startup building a non-human pilot to enable both reduced crew and uncrewed flight. Backed by some of the world’s leading investors, Merlin is scaling alongside our customers to begin leveraging autonomy today to solve some of aviation’s biggest challenges.

About You:
You are a senior platform leader who understands that autonomous flight demands uncompromising reliability, real-time performance, and scalable infrastructure.
 
You have built and owned compute platforms that power complex, mission-critical systems — spanning cloud ML training, high-fidelity simulation, and edge or embedded environments. You think holistically about architecture, balancing determinism, latency, scalability, safety, and cost.
 
You are not looking to maintain infrastructure — you want to define it. You operate as a technical authority, partnering closely with autonomy, perception, controls, and flight software leaders to ensure the compute foundation enables rapid development and safe, scalable deployment.
 
You thrive in environments where the platform you design directly impacts real-world performance. You are comfortable setting long-term technical direction while remaining hands-on in the most complex systems challenges.
 
  • End-to-end compute architecture spanning cloud ML training, simulation clusters, data pipelines, and edge/onboard systems.
  • Infrastructure that supports large-scale distributed training, high-fidelity simulation (SIL/HIL), and autonomy validation workflows.
  • GPU/accelerator orchestration, workload scheduling, and performance optimization for compute-intensive autonomy systems.
  • Design decisions that balance determinism, latency, safety, scalability, and cost.
  • Platform reliability standards for systems that ultimately support flight-critical software.
  • Long-term roadmap for scaling compute infrastructure as fleet size, simulation fidelity, and ML workloads grow.
  • Technical mentorship and bar-raising across platform and infrastructure engineering.
  • 10+ years of experience building large-scale distributed or high-performance compute systems.
  • Proven ownership of production infrastructure supporting autonomous systems, robotics, aerospace, or ML-heavy platforms.
  • Deep expertise in distributed systems design, networking, and systems performance optimization.
  • Experience architecting infrastructure for GPU-based training, simulation, or real-time compute workloads.
  • Strong programming background in C++, Go, or Python, with comfort operating close to systems layers.
  • Experience bridging cloud infrastructure and edge/embedded compute environments.
  • Track record of leading complex cross-functional technical initiatives.
  • Ability to operate with autonomy in a fast-scaling, high-ambiguity startup environment.

    • Location & Eligibility

    Where is the job
    Boston
    Hybrid — some on-site time required
    Who can apply
    Same as job location
    Listed under
    Worldwide

    Listing Details

    Posted
    March 10, 2026
    First seen
    March 26, 2026
    Last seen
    May 11, 2026

    Posting Health

    Days active
    46
    Repost count
    0
    Trust Level
    25%
    Scored at
    May 11, 2026

    Signal breakdown

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