Top Tech Jobs & Startup Jobs

Lead multidisciplinary design optimization for electric aircraft, managing automated engineering trade studies and high-level aircraft configuration. Develop low-fidelity simulations, surrogate models, and optimization workflows to identify Pareto-optimal designs. Translate market needs and mission requirements into technical specifications, assess propulsion integration, and convert optimization results into practical aircraft design recommendations while considering regulatory constraints.

Designs aviation-grade electronics for battery management, traction battery packs, HV/LV converters, and thermal management systems. Responsibilities include schematic capture, component selection, multilayer PCB layout, mixed-signal and high-speed design, signal integrity, compliance with aerospace standards, hardware-software interface definition, lab debugging, board bring-up, HIL testing, and environmental qualification support. Collaborates with mechanical, firmware, harnessing, validation, and testing teams throughout the hardware product lifecycle.

Coordinate RFQs, supplier follow-ups, purchase orders, delivery tracking, procurement documentation, and MIS reporting for an aircraft development program. Collaborate with Engineering, Quality, Stores, Finance, Logistics, and suppliers to ensure timely material availability. Use Excel, ERP systems, MIS tools, and AI platforms to improve quotation comparison, supplier communication, reporting, and SCM productivity.

Prepare aircraft and flight-test procedures for subscale and full-scale VTOL platforms. Develop test plans, analyze flight logs, investigate occurrences, and drive hardware and software improvements. Collaborate with avionics, propulsion, structural, software, and flight-controls teams. Conduct system-identification tests, refine flight-dynamics models, prepare test reports, and apply lessons learned across platforms.

Perform inspections and testing of aerospace electrical assemblies, wire harnesses, avionics racks, and PCBAs. Ensure compliance with aerospace quality standards, conduct audits, investigate failures, lead CAPA and root-cause analysis, review engineering and manufacturing documentation, and maintain quality records. Collaborate with manufacturing, engineering, and supply chain teams to resolve nonconformances and improve production yields.

Drives execution across business partnerships and projects by managing relationships, tracking progress, maintaining dashboards and status reports, running follow-up cadences, preparing briefs and updates, and ensuring initiatives reach closure across multiple verticals.

Architect and oversee scalable, real-time software platforms for engineering simulations and operational mobility tools. Define system architecture, module boundaries, APIs, data objects, execution models, and integration traceability. Lead platforms from prototype through production, write low-level requirements, establish development and testing standards, and support ML and GenAI implementations. Analyze timing, CPU, memory, and distributed-system performance while collaborating with technical teams throughout proof-of-concept, deployment, and optimization phases.

Manage configuration control for aircraft, components, and documentation throughout the product lifecycle. Implement configuration management processes, control changes, maintain baselines and revision records, perform traceability and configuration audits, and manage obsolescence. Collaborate with design, project management, quality, operations, and development teams to ensure compliance. Use PLM and ERP systems for configuration identification and status accounting. Support aircraft certification activities and work independently or in a lead capacity.

Develops and deploys machine learning tools across engineering disciplines, including LLM, multimodal, and generative AI systems. Responsibilities include building training pipelines, productizing research prototypes, benchmarking models, creating evaluation methodologies, and deploying AI tools through structured pilots. The role requires experience with PyTorch, TensorFlow, RAG pipelines, vector databases, retrieval optimization, citation grounding, and containerization. Preferred experience includes reinforcement learning, distributed processing, multimodal models, local GenAI deployment, and agentic workflows.

Develop and deploy deep learning and reinforcement learning systems for urban air mobility, including routing and scheduling tools for aircraft networks. Build data and training pipelines, productize research prototypes, optimize inference performance, evaluate model behavior, and deploy AI tools to engineering teams. Responsibilities also include designing reliable production ML systems, constructing simulation environments, engineering rewards, and operating multi-step agentic workflows.