• Define guidance system capabilities and requirements in collaboration with operations and pilot teams • Design guidance system features to integrate with flight control systems and pilot displays • Implement flight guidance algorithms in simulation and flight software • Reduce and analyze simulation, lab, and flight test data • Evaluate guidance system performance and behavior via simulation, hardware-in-loop, and flight test cases

• Define navigation system requirements in collaboration with internal and external stakeholders • Analyze, source, and select sensor solutions for use in the navigation system • Develop sensor models in simulation for evaluation of the navigation system • Implement state estimation algorithms in flight software • Establish test methods to ensure compliance with requirements, best practices, and regulatory standards • Evaluate the navigation system performance via simulation, hardware-in-loop, and flight test cases

• Own CNC process development for patient-specific dental components — from prototype to scaled production. • Design and validate machining workflows for multi-axis mills (3-, 4-, and 5-axis) that achieve micron-level precision, excellent surface finish, and high throughput. • Integrate automation systems (robotic loading, part handling, in-line probing, vision inspection) into CNC workflows to achieve 24/7 “lights-out” operation. • Optimize toolpaths, feeds, speeds, and cutting strategies for complex geometries and challenging materials (zirconia, titanium, PMMA, and wax). • Develop and document process standards — tool libraries, fixture designs, validation protocols, and SPC control plans — to ensure reproducibility and compliance. • Collaborate with R&D and design teams to improve manufacturability of patient-specific geometries while maintaining clinical fidelity. • Lead root cause analysis and yield improvement across machining cells using structured problem-solving and statistical tools. • Work cross-functionally with software, automation, and quality teams to build reliable, automated manufacturing lines capable of scaling to tens of thousands of custom parts per day. • Scout and qualify new technologies — cutting tools, coolant systems, machine architectures, or in-process metrology systems — to push the limits of digital manufacturing.

• Define and maintain the enterprise Design-for-X (DFX) framework governing manufacturability, testability & observability, reliability, supply-chain resilience, cost, and sustainment. • Establish DFX standards, criteria, and maturity gates embedded into early architecture, SRR/PDR/CDR, configuration & release, and platform definition. • Advise engineering and program leadership by participating in key design and architecture reviews, providing independent lifecycle risk assessments, and recommending balanced design trade-offs. • Drive design reuse, modularity, and platform commonality through DFX architectures that enable reusable hardware, test/diagnostics, and manufacturing & sustainment models. • Define and govern Design-for-Test and Design-for-Observability, guide products to include standardized BIT/BITE, self-test, health monitoring, telemetry, and fault isolation so systems can validate and report their own performance from development through fielded operations. • Support bid & proposal (B&P) and capture by assessing manufacturability, testability, technology and part maturity, cost and supply-chain exposure, and obsolescence risk --ensuring what AV proposes can be built, tested, and sustained. • Serve as the escalation and arbitration point for major lifecycle risks (DMSMS, manufacturing infeasibility, inadequate testability/observability, or excessive cost/supplier concentration). • Define and maintain DFX KPIs (e.g., first-pass yield, test escape rates, repair/return metrics, NRE/recurring cost targets, DMSMS status) and routinely brief leadership on lifecycle health of key platforms. • Will work with development teams to capture best practices and improve product reliability and capabilities. • Design, deploy, and continuously improve enterprise DFX processes integrated into engineering workflows, design reviews, release & change control, and platform architecture. • Translate DFX principles into repeatable, auditable, and scalable practices so lifecycle-driven design is organic to how AV develops products. • Establish enterprise standards for testability and observability, making diagnostics, telemetry, and field-level debug design requirements, not afterthoughts. • Familiarity with PLM/ERP/data workflows (so DFX outputs map into configuration/parts systems).