Merlin Labs

Financial Planning and Analysis

• Build revenue forecasting models connecting pipeline to recognized revenue, considering contract type, milestones, and performance obligations
• Establish controls and system workflows that reduce manual handoffs and create an auditable trail from opportunity to cash receipt
• Design and implement a scalable procure-to-pay process covering requisitions, purchase orders, vendor onboarding, invoice processing, and payment
• Partner with Legal, Accounting, and business owners to implement and maintain a tiered approval framework based on spend risk
• Build operating expense forecasting and accrual processes
• Support implementation of financial planning tools and systems with Finance and IT
• Create monthly and quarterly operating cadences, including actuals reviews, variance analysis, and reforecasting
• Support the annual operating plan and budget
• Drive continuous improvement by identifying bottlenecks, eliminating manual work, and automating processes
• Assume full P&L ownership for an assigned product line, including revenue, gross margin, and operating expense, long-term
• Build financial infrastructure connecting customer commitments to recognized revenue and vendor relationships to recorded expenses

Manager, Strategic Finance

Mechanical Engineer

• Design, integrate, and test avionics and control components for aircraft and test labs
• Oversee and/or perform system integration design and analysis, including stress and model analyses
• Provide CAD work supporting design activities and apply industry best practices for GD&T
• Support component, system development, and system certification testing
• Create test plans, analyze data, and generate test reports and documentation
• Prepare and coordinate mechanical design and fabrication drawings and related documents
• Travel up to 25–50%, sometimes on short notice, to domestic and international locations for aircraft and system integration and testing

Senior Mechanical Engineer

Operations

• Lead and grow a team spanning configuration management, development assurance, process assurance, and software quality assurance
• Own configuration management and partner with engineering and flight test leaders to develop, maintain, and improve processes
• Standardize and deploy core engineering processes in compliance with established policies, guidance, and certification best practices
• Establish and run compliance auditing programs for engineering process documents and execution
• Represent process assurance with certification authorities, designated engineering representatives, and customer quality teams
• Serve as primary contact for DCMA and government quality assurance representatives on military programs
• Drive continuous process improvement based on audit findings, lessons learned, and regulatory guidance
• Lead root-cause and corrective-action analysis to close audit findings and prevent recurrence
• Report process health, audit outcomes, open findings, and improvement roadmap to the VP of Airworthiness & Certification
• Build scalable and repeatable process frameworks supporting organizational growth

Senior Manager – Process Assurance

Artificial Intelligence

• Own Merlin's foundation and world-model technical strategy, including architecture selection, build-vs-adapt decisions, post-training approach, and capability roadmap
• Lead and mentor a small team of world-model and post-training engineers
• Set the technical bar and review culture for model work across AI Core
• Design the model interface to the autonomy stack using structured, schema-constrained plan outputs accepted or rejected by a deterministic verifier
• Define evaluation criteria before training begins
• Build the evaluation harness, capability taxonomy, and regression suite for model releases
• Establish uncertainty quantification and out-of-distribution detection as first-class model outputs
• Deliver reproducible comparisons between learned planning and current rule-based behavior planning across representative mission profiles
• Partner with Systems Engineering, Certification, and the Chief Architect on regulator-defensible model design
• Track external research and decide what Merlin adopts, builds, or ignores

Senior Manager, AI Foundation Model

Full-stack Engineer

• Design and develop flight-critical software using Simulink, Stateflow, and related MathWorks tools for model-based design
• Define software architecture, modeling standards, and development workflows aligned with DO-178C and DO-331
• Create, maintain, and review software requirements, models, and auto-generated code
• Ensure robustness and traceability through requirements-based design, verification, and certification artifact production
• Collaborate with systems, safety, hardware, flight controls, and flight test engineers
• Support integration into CI pipelines, including model checks, code generation, static analysis, and automated verification
• Contribute to planning and execution of SOI audits and certification reviews
• Create and maintain documentation for software requirements, architecture, and design decisions
• Support hardware-in-the-loop, processor-in-the-loop, and flight testing activities

Staff Engineer, Model Based Software

Engineer

• Build and operate ingestion pipelines for flight test, simulation, and operational data
• Normalize formats, align time across sources, and perform quality validation
• Implement dataset curation and versioning with full lineage
• Build automated mining and triage for anomalies, system disagreements, and near-boundary events
• Own labeling workflows and tooling, including quality control and inter-annotator agreement
• Instrument deployed-system behavior so operational signals reach the next training cycle
• Work with Flight Test & Operations on logging and instrumentation requirements
• Help resolve data access constraints involving third-party systems
• Monitor pipeline health and dataset coverage
• Alert on drift, gaps, and silent breakage

Data Loop Pipeline Engineer

• Design, train, and evaluate world models predicting aircraft state, environment, and other traffic under candidate action sequences
• Build rollout and imagination machinery for planners to evaluate candidate plans against predicted outcomes
• Develop calibrated predictive uncertainty and out-of-distribution signals consumed by the safety monitoring layer
• Characterize model validity boundaries across flight regimes, weather, traffic densities, and configurations
• Work with the Data/Sim team on the sim-to-real gap by training in simulation, validating against flight data, and improving simulator fidelity
• Benchmark learned dynamics against physics-based and flight-controls models
• Contribute to the shared evaluation harness
• Maintain reproducibility by tracing results to data versions, configurations, and seeds