Director, AI Core Software

Merlin Labs•Boston, MA

1d•Onsite

About The Position

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. You are a technically deep software leader who has shipped production AI or autonomy systems in a safety-critical domain. You thrive at the intersection of rigorous engineering and ambitious product vision, and you know how to build and motivate world-class teams working on hard, long-horizon problems. You hold yourself and your team to the highest standards of software quality and safety — not because the process demands it, but because you genuinely care about the integrity of what you build. You're equally comfortable reviewing a pull request, debating system architecture, and presenting a roadmap to the executive team. You want your work to matter, and there's nothing more meaningful to you than putting reliable autonomous systems into the sky.

Requirements

10+ years of software engineering experience, with at least 5 years in Physical AI technical leadership and engineering management roles.
Proven track record of shipping production grade AI based autonomy in a safety-critical, deterministic and highly regulated environment (aerospace, automotive, industrial, medical, or similar).
Deep expertise in at least one of: real-time perception and sensor fusion, motion planning and control, large-scale next gen AI model training and deployment, or onboard inference systems.
Strong command of modern software engineering practices including AI model distillation, MLOps, CI/CD, rigorous testing strategies, and design-for-safety principles.
Experience in deploying end-to-end Data strategy to collect, ingest and curate the data for AI model training, simulation and edge deployment.
Experience managing the managers, senior engineers and staff-level technical contributors, including performance management and career development.
Ability to define and communicate architectural decisions across organizational boundaries, including to non-technical stakeholders.
Proficiency in Pytorch, TensorFlow and C++ (or equivalent systems languages used in real-time embedded environments).
Strong written and verbal communication skills; ability to document complex technical decisions clearly and concisely.
Comfort operating in a fast-paced, ambiguous startup environment where priorities and requirements evolve.

Nice To Haves

Background in vehicle dynamics, vehicle control systems, or avionics/Automotive software integration.
Familiarity with simulation-based validation, hardware-in-the-loop (HIL) testing, or digital twin development.
Experience with airborne hardware platforms, embedded Linux, or real-time operating systems (RTOS).
Published research or significant contributions to open-source projects in autonomy, robotics, or machine learning.
Prior experience at a Series A–C deep tech startup.
Pilot's license or meaningful hands-on experience with aircraft operations.

Responsibilities

Define and drive the technical strategy for Merlin's AI Core platform, spanning perception, sensor fusion, decision-making, planning, and control.
Lead, grow, and mentor a multi-disciplinary team of AI engineers, robotics engineers, and software engineers working on flight-critical autonomy software.
Collaborate with the VP of Engineering and CTO to translate company-level objectives into clear, achievable technical roadmaps with well-defined milestones.
Own the architecture of the AI Core stack from data pipelines and model training infrastructure through to real-time onboard inference and control.
Establish and enforce engineering standards, code quality practices, and safety review processes appropriate for an aviation-grade software system.
Partner closely with Flight Operations, Systems Engineering, and Certification teams to ensure AI Core software meets FAA and regulatory requirements.
Drive integration between AI Core components and the broader avionics and vehicle management systems.
Recruit senior engineering talent and build a culture of technical excellence, ownership, and psychological safety.
Represent the AI Core team in cross-functional planning, risk reviews, and stakeholder communications.
Track and evaluate emerging research and open-source developments relevant to autonomous flight, and translate promising work into product opportunities.