Merlin Labs

Staff Software Engineer, AI Foundation Model

Boston · Staff+ · Contract

No sponsorshipDetected 27 days ago

PythonC++Machine LearningTensorFlowPyTorchData EngineeringNLPLLMsMLOpsHRISAvionicsMIL-STDRoboticsSensorsManual TestingResearchCommunicationMentoring

About the role

Most importantly, you want to work on a problem that genuinely matters: putting safe autonomous aircraft into the skies.

Responsibilities

Technically strategize on Foundation model selection, refactor, design, build, and maintain Merlin's core AI models,training and inference infrastructure, including distributed training pipelines, experiment tracking, and model registry systems.
Define and drive standards and benchmarks for model evaluation, benchmarking, and regression testing to ensure AI systems meet safety and performance thresholds before deployment.
Architect and own the foundational data pipeline that ingests, processes, labels, and versions flight data for use across all autonomy and AI teams.
Collaborate with AI infra, Simulation, and Flight Software teams to define interfaces and shared abstractions that make the broader stack more coherent and maintainable.
Mentor, build and technically guide junior and mid-level engineers on the AI Foundation team, conducting design reviews and raising the overall quality of the team's output.
Lead technical scoping and estimation for large AI foundational model projects, breaking ambiguous requirements into actionable engineering plans.
Document architecture decisions, system designs, and operational runbooks to a standard that supports safety review and long-term maintainability.

Requirements

You care about the craft of software engineering as much as you care about AI models - you know that great AI systems are only as good as the infrastructure underneath them.
You enjoy operating with significant autonomy, influencing technical decisions across multiple teams, and mentoring engineers who are earlier in their careers.
8+ years of software engineering experience, with a substantial portion focused on state of the art and next-gen AI model development, ML infrastructure, MLOps, data engineering, or AI platform development.
Experience in development of the AI-first Autonomy software tech stack that includes Perception, Behavior Planning, Prediction and Actuation ( based on Transformer architectures)
Deep proficiency in Pytorch, TensorFlow and at least one systems language such as C++,C, Rust, or Go.
Hands-on experience with distributed training frameworks (Python extensions, JAX, or equivalent) and the infrastructure required to run them reliably at scale.
Experience in onboarding trained models into edge environments consisting of High performance compute System-on-Chips.
Proven track record of influencing technical direction across teams and driving alignment on shared infrastructure and standards.
Comfort working in a fast-moving startup where the scope of problems and priorities evolve as the product matures.
Demonstrated ability to design and deliver large-scale, production-grade systems independently - from initial architecture through deployment and operation.
Strong background in data pipeline design, including streaming and batch processing, data versioning, and handling high-volume, heterogeneous sensor data.
Experience building model evaluation and validation frameworks leveraging MLOps frameworks (like Weights and Biases. MLFlow etc) that go beyond accuracy metrics to assess real-world reliability and safety-relevant behavior.
Excellent written communication skills, with the ability to produce clear design documents and architecture proposals that hold up to rigorous review.

Nice to have

Experience in aerospace/automotive autonomy, robotics, or other safety-critical real-time domains where software quality and reliability standards are exceptionally high.
Development and deployment of AI models on heterogeneous HPCs like NVIDIA Thor/Orin.
Background in simulation infrastructure, synthetic data generation, or domain randomization for training perception and control models using end to end ecosystems like NVIDIA Cosmos etc.,.
Experience with onboard inference optimization - model quantization, TensorRT, hardware-aware compilation, or deployment on embedded accelerators.
Contributions to widely used open-source ML or data engineering projects.
Familiarity with flight data formats, avionics data buses (ARINC 429, MIL-STD-1553), or sensor modalities common in aviation (Camera, LiDAR, radar, IMU).
Prior staff or principal engineer experience at a high-growth startup or research-driven
Merlin Labs is an equal opportunity employer and values diversity.

Company info

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.

Visa & Work Authorization

At this time, we are unable to provide visa sponsorship or consider candidates who require visa transfers.

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This listing is sourced directly from Merlin Labs's careers page and normalized into a canonical job model.