Jobs at The ePlane Company

Develops high-performance, differentiable multiphysics simulation and optimization software for electric aircraft design. Responsibilities include implementing numerical solvers, coupling machine-learning and physics models, validating simulations, building surrogate and reduced-order models, exposing analytic gradients, and optimizing GPU execution for throughput and latency. The role requires expertise in computational engineering, numerical methods, automatic differentiation, CUDA or equivalent compute frameworks, multidisciplinary design optimization, aerospace sizing, and surrogate modeling.

Architect and develop GPU-accelerated optimization and machine learning systems for aircraft design and urban air mobility operations. The role involves building coupled multi-physics and ML models, reinforcement learning and planning tools, C++ and Python APIs, spatial-query systems, and high-throughput simulation software. The engineer will own platform architecture, model validation, verification, performance optimization, and guidance on model reliability across engineering, operations, and commercial applications.

Develop and maintain internal platform services, engineering tools, deployment pipelines, and backend systems supporting machine learning, optimization, simulation, and mobility engineering teams. Responsibilities include algorithm development, system design, testing, code reviews, troubleshooting performance bottlenecks, and deploying reliable, high-performance tools and services.

Build and test a high-performance full-stack operating system for engineering tools. Responsibilities include designing frontend architecture and reusable components, developing real-time visualizers and document interfaces, building backend APIs and WebSocket pipelines, managing asynchronous simulation jobs and large datasets, integrating partner and internal systems, and establishing CI/CD and testing strategies.

Leads enterprise aerospace engineering strategy and multidisciplinary teams across aircraft design, systems integration, certification, production ramp-up, and in-service support. Oversees clean-sheet and derivative aircraft programs, technical reviews, regulatory compliance, risk mitigation, digital engineering adoption, innovation, and stakeholder engagement. Partners with program management, manufacturing, supply chain, quality, flight test, customers, and suppliers to deliver safe, certified aircraft within cost, schedule, and performance objectives.

Designs and maintains secure CI/CD pipelines for conventional software and ML models in regulated aerospace environments. Responsibilities include configuration baselining, release management, software quality assurance, lifecycle audits, traceability, corrective-action investigations, change-control governance, automated testing, and compliance with DO-178C, DO-254, and ARP4754B. The role also supports containerized deployments, safety-critical releases, and testing on physical target hardware.

Lead development and verification of safety-critical embedded firmware for battery management systems, power converters, chargers, thermal management, and aircraft power systems. Develop bare-metal drivers, bootloaders, control loops, CAN communication, fault handling, and automated SIL/HIL testing. Perform hardware debugging, static analysis, structural coverage, timing verification, and aerospace compliance activities while establishing MISRA-compliant coding standards and internal ownership of firmware codebases.

Leads specialized technical and R&D recruitment, manages candidate pipelines, develops employee engagement initiatives, handles confidential grievances, maintains HRIS data integrity, and produces dashboards, headcount metrics, turnover analyses, and workforce reports for leadership.

Lead the company’s IT and information security foundation, including cloud and on-premises infrastructure, HPC systems, servers, endpoints, networking, remote access, backups, disaster recovery, security monitoring, compliance, Google Workspace, and IT support operations. Build scalable policies, systems, and processes from scratch while managing infrastructure performance, asset lifecycles, cybersecurity, and employee technical support.

Creates, edits, and maintains technical documentation for avionics, flight controls, and integrated aerospace systems. Responsibilities include authoring SOPs, manuals, test procedures, reports, specifications, and certification documentation; coordinating with engineering experts; enforcing documentation standards; and managing document versions, reviews, and archives. The role requires strong technical writing, engineering understanding, document-control skills, and proficiency with Microsoft Office, with aerospace standards and specialized authoring tools preferred.

Design and integrate manufacturing processes, tooling, fixtures, and assembly strategies for high-voltage battery modules and packs. Develop detailed CAD models and production drawings, perform tolerance stack-up analyses, support prototype builds, and validate tooling and processes. Collaborate with product design, quality, suppliers, and manufacturing teams on battery assembly operations including laser welding and adhesive dispensing.

Create and maintain aerospace and powertrain technical publications, including manuals, service bulletins, installation guides, assembly procedures, and validation documentation. Collaborate with mechanical, electrical, thermal, and test engineers to ensure technical accuracy and certification compliance. Manage documentation workflows, issues, requirements traceability, and engineering changes using Jira, Visure, DOORS Next, and Confluence. Produce technical illustrations from CAD models and support XML/S1000D authoring for electric propulsion, batteries, inverters, transmissions, and aircraft systems.

Supports stores and inventory operations, including material receiving, verification, storage, labeling, issuing, returns, stock records, bin locations, and traceability. Coordinates with supply chain, quality assurance, and end users on documentation and material needs. Maintains housekeeping, 5S, and safe storage standards while using ERP systems, Excel, FIFO/FEFO, and inventory documentation practices.

Manage manufacturing configuration control by processing engineering and manufacturing changes, maintaining BOMs and production baselines, synchronizing PLM, ERP, and MES data, conducting impact analyses and audits, ensuring AS9100 compliance, and improving configuration management processes and documentation. The role coordinates cross-functional approvals and supports shop-floor execution.

Designs 3D CAD models, detailed engineering drawings, and bills of materials. Applies design for manufacturability principles, collaborates with production teams, and maintains design records, safety compliance reports, and technical manuals. Requires a bachelor’s degree in mechanical engineering or a related field, proficiency with CAD and analysis software, and knowledge of GD&T, material science, and manufacturing processes.

Test and validate 6-DOF aircraft flight-dynamics models using MATLAB/Simulink, Python, and C/C++. Perform flight mechanics, stability, control, performance, propulsion, and aerodynamic analyses across the flight envelope. Develop test cases, scripts, simulations, and verification evidence; correlate models with wind-tunnel, ground-test, and flight-test data; analyze failures and degraded modes; and support certification documentation and system safety activities.

Develop and deploy machine learning tools for engineering simulation applications, including surrogate models, data pipelines, chained model systems, and retraining workflows. Audit simulation data, prototype and productize research, benchmark model performance, establish evaluation methodologies, and deploy AI tools to engineering teams. The role requires deep learning experience with scientific or engineering data, strong Python ML libraries, surrogate modeling, and database and retrieval pipeline skills.

Develop optimization algorithms and simulation systems for urban air mobility, including flight planning, network planning, aircraft charging, fleet dispatch, demand modeling, and energy-constrained operations. Build fast, accurate, auditable agent-based and network simulations at production scale, and create sensitivity-analysis tools for evaluating engineering and commercial trade-offs.

Own integrated DevOps and MLOps infrastructure for production AI/ML systems. Build training and retraining pipelines, CI/CD workflows, model versioning, monitoring, rollback, and A/B testing. Manage Kubernetes, containers, service mesh, and hybrid cloud/on-premise infrastructure. Lead on-premise AI deployment and establish governance, qualification, documentation, explainability, robustness testing, and regulatory compliance processes for safety-critical machine learning capabilities.

Develop and manage aircraft mass properties, center-of-gravity data, and static, dynamic, aerodynamic, and ground loads for an eVTOL aircraft. Coordinate with engineering, airworthiness, and flight-test teams to establish load cases, support certification, configure prototype ballast, and calculate weight and CG envelopes. Use CAD/PLM, FEA, simulation, and digital-twin tools while proposing weight-reduction strategies and improving mass and loads forecasting processes.