The Role
Lead technical strategy and execution for Merlin's AI Core platform across perception, sensor fusion, planning, and control. Build and manage a multidisciplinary engineering organization, own architecture from data pipelines to real-time onboard inference, enforce aviation-grade safety and quality, partner with certification and systems teams, recruit senior talent, and translate research into product opportunities.
Summary Generated by Built In
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 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.
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.
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 Have:
- 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.
This position is based on-site at Merlin HQ in Boston, MA.
Once you’re here, you’ll enjoy a variety of on-site perks designed to make your workday enjoyable and convenient. These include catered lunches featuring a rotating menu of delicious options, an assortment of snacks to keep you fueled throughout the day, and a selection of beverages, including coffee, tea, and other drinks, to keep you refreshed.
Our goal is to create an environment where you can thrive both professionally and personally
Merlin Labs offers an innovative, entrepreneurial, and team-focused startup environment. We also offer a top-notch benefits package (health, dental, life, unlimited vacation, and 401k with match) and work/life integration. Being part of the Merlin team allows you to become part of a small team that supports professional development while working together to achieve our mission.
Merlin Labs is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, genetic information, sex (including pregnancy), gender, gender identity and expression, sexual orientation, age, marital status, military service or obligation or disability status, or any other characteristic protected by law. All job offers are contingent upon the candidate passing background and reference checks.
At this time, we are unable to provide visa sponsorship or consider candidates who require visa transfers. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to: [email protected]
Merlin Labs does not accept unsolicited resumes from any source other than directly from candidates.
Skills Required
- 10+ years of software engineering experience
- At least 5 years in Physical AI technical leadership and engineering management roles
- Proven track record of shipping production-grade AI autonomy in safety-critical, regulated environments (aerospace, automotive, industrial, medical, or similar)
- Deep expertise in at least one: real-time perception and sensor fusion, motion planning and control, large-scale 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 deploying end-to-end data strategy to collect, ingest, and curate data for model training, simulation, and edge deployment
- Experience managing 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 for 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
- 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 open-source contributions 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
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The Company
What We Do
All of the sky, none of the limits. Merlin Labs is building the autonomous infrastructure for the sky above us, enabling goods, and eventually people, to fly without pilots. The Merlin Labs team is building the definitive autonomy system for all things that fly. We’re creating sophisticated software and hardware that fulfill the functions of a human pilot.
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