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Required Composite Structures Engineer
Why this role exists
The airframe is not just a load path - it is part of the acoustic system. Every panel that vibrates radiates, every joint that transmits structure-borne energy undoes work the rest of the vehicle did to stay quiet. You will design and substantiate the composite structure of a novel lift and propulsion architecture where laminate stiffness, ply-level damping, and transmission-path isolation are traded as deliberately as mass and strength - because our roughly fourfold acoustic advantage survives only if the structure carries it.
What you'll own:
Design composite primary and secondary structure - laminate definitions, ply schedules, core selections, bonded and bolted joints - from concept layout through released engineering definition.
Build, run, and own detailed FEA models for static strength, buckling, and structural dynamics, and keep them correlated against coupon, element, and full-scale test evidence.
Drive vibro-acoustic behavior of the airframe: characterize panel modal density, radiation efficiency, and structure-borne transmission paths, and turn stiffness and damping into deliberate acoustic design levers.
Define and execute structural test campaigns - building-block coupon and element tests, modal surveys and ground vibration tests - including instrumentation plans, test readiness reviews, and post-test model correlation.
Develop material allowables and laminate design values with materials and process engineers, and document the basis for every margin you claim.
Write structural substantiation reports with traceable loads, methods, and margins of safety that will stand up to a certification authority, not just an internal review.
Trade mass against transmission loss and damping treatments directly with the Acoustics team, and defend the structural side of those trades at vehicle-level design reviews.
Support the build: assess layup and tooling feasibility, review first articles, and disposition manufacturing discrepancies on flight hardware.

Required Computer Vision & Autonomy Engineer
Why this role exists
An aircraft roughly four times quieter than conventional eVTOLs earns something no one else has: permission to operate low, close, and often over real neighborhoods. That permission is worthless unless the vehicle can perceive the environment it has been invited into - urban canyons that degrade GNSS, rooftop landing sites measured in meters, and airspace shared with everything from birds to delivery drones. This role exists to build the perception and autonomy stack that converts our acoustic advantage into safe, routine flight over cities, including the precise state estimation that lets the vehicle hold the noise-optimal trajectories our acoustics team designs.
What you'll own:
Design and own multi-sensor fusion pipelines - camera, radar, GNSS/INS, and altimetry - delivering robust, high-rate state estimation through GNSS-degraded urban environments.
Build the landing-site perception system: real-time detection, geometric assessment, and obstruction monitoring of vertiports and contingency sites during steep, noise-optimal approaches.
Train, quantize, and deploy neural perception models on embedded flight compute, owning latency, memory, and power budgets down to the millisecond.
Develop perception for detect-and-avoid: tracking non-cooperative traffic - small UAS, birds, general aviation - at ranges that preserve quiet, gentle avoidance maneuvers.
Stand up the data engine: flight-test data collection, ground-truth generation, dataset curation, and automated regression of model performance across releases.
Validate the perception stack in high-fidelity simulation, sensor replay, and hardware-in-the-loop benches before any algorithm touches the vehicle.
Architect run-time monitoring and assurance around learned components, producing the evidence structure a certification authority can eventually accept.
Support flight test campaigns end to end: integrate and calibrate sensors, analyze logs, and turn every anomaly into a fix or a documented limit within days.

Required Systems Integration Engineer
Why this role exists
On most aircraft programs, systems engineering keeps the weight, power, and safety budgets honest. There is a fourth budget - noise - and it is the one the company lives or dies by, flowed down through every interface, mount, harness, and duty cycle on the vehicle. This role exists because a roughly 4 acoustic advantage is an architecture claim until someone turns it into a closed set of vehicle-level requirements, traces every one to a subsystem owner, and walks the verification evidence onto the flight line.
What you'll own:
Own requirements flow-down from vehicle-level acoustic, performance, and safety targets to subsystem specifications under an ARP4754A-aligned development process.
Author and control interface definitions across structures, propulsion, avionics, and software - including the vibration, isolation, and acoustic constraints most ICDs never carry.
Build and maintain the vehicle requirements and verification database with full bidirectional traceability from stakeholder need to test evidence, and defend it in audits.
Plan and run integration campaigns on the systems bench and iron bird: power-on sequencing, interface checkout, fault injection, and end-to-end functional verification before anything flies.
Lead ground and flight test campaigns as the vehicle-level V&V owner - define test objectives, success criteria, and instrumentation requirements, then reconcile measured results against requirements line by line.
Chair cross-subsystem integration reviews and arbitrate trades where a decibel saved in one subsystem costs mass, power, or schedule in another.
Conduct safety assessment work - FHA, PSSA, FMEA, and fault trees per ARP4761 - jointly with subsystem leads, and track every derived requirement to closure.
Drive gated design reviews from SRR through test readiness with hard closure metrics: verification status, open interface items, and integration risk burn-down.

Required Embedded Software Engineer
Why this role exists
Low noise is not a property of the airframe alone - it is a property of how the vehicle is flown, millisecond by millisecond. The vehicle's proprietary lift system only delivers its acoustic advantage when flight software commands it with precise timing, tight rate control, and deterministic execution of acoustically shaped flight profiles. This role exists to build that software: the hard-real-time code that turns an acoustic strategy into commands an aircraft can actually fly, and that a certification authority can actually trust.
What you'll own:
Design and implement safety-critical flight software in modern C and C++ on a hard-real-time RTOS, from driver level to application logic.
Implement the execution layer for acoustically shaped flight profiles, guaranteeing deterministic timing and jitter budgets that the acoustics team can bank on.
Build and maintain hardware-in-the-loop (HIL) test benches that exercise flight software against simulated vehicle dynamics, sensors, and actuation before anything flies.
Define and document software requirements, architecture, and verification evidence consistent with DO-178C objectives, working toward a certifiable baseline from day one.
Develop board support packages, bus interfaces (CAN, serial, deterministic Ethernet), and health-monitoring logic for flight control and actuation computers.
Profile and optimize worst-case execution time, memory usage, and task scheduling on resource-constrained flight hardware.
Support ground and flight test campaigns: instrument the software, analyze telemetry and timing logs, and close the loop on anomalies within days, not quarters.
Conduct and participate in rigorous code and design reviews, raising the bar for a small team whose code flies the aircraft.

Required Electric Propulsion Engineer
Why this role exists:
We exist to make urban flight quiet enough that cities say yes. In electric aircraft, once aerodynamic sources are suppressed, the drivetrain can become what remains: torque ripple, radial force harmonics, and inverter switching rise toward the dominant tones an observer on the ground hears. This role owns the electric propulsion system as an acoustic source - you will design motors and drives where electromagnetic noise is a first-order requirement, traded with the same rigor as power density, efficiency, and mass.
What you'll own:
Design and analyze motor electromagnetics with torque ripple, cogging torque, and radial force harmonics treated as hard requirements alongside efficiency and power density.
Develop inverter modulation and current-control strategies - including harmonic injection and active ripple compensation - that suppress electromagnetic excitation before it becomes radiated tone.
Build and validate multiphysics models chaining electromagnetic force prediction through structural transfer paths to radiated noise, correlated against dyno and vehicle data.
Plan and execute dyno test campaigns with synchronized electrical, vibration, and acoustic instrumentation, owning the data pipeline from raw capture to engineering verdict.
Integrate motors, inverters, and mounts into the vehicle's novel lift and propulsion architecture, working structure-borne transmission paths jointly with the Structures and Acoustics teams.
Characterize thermal behavior on the dyno and derive continuous and peak torque envelopes that hold across the full flight profile.
Define acceptance and qualification test procedures for propulsion units, including back-EMF, efficiency-map, vibration, and acoustic signature checks.
Lead propulsion design reviews and hardware failure investigations, driving root cause to closure with documented corrective actions.

Required Aerodynamics Engineer
Why this role exists:
Aerodynamics and acoustics are not separate disciplines - every flow decision is a noise decision. We are building an aircraft whose acoustic signature is roughly 4 lower than conventional eVTOLs, and that margin is won or lost in the details of unsteady flow around our novel lift and propulsion architecture. This role exists because we need an aerodynamicist who treats sound as a first-order design constraint, not a downstream check, and who can carry a configuration trade from CFD through the wind tunnel to flight data.
What you'll own:
Own aerodynamic design and analysis of vehicle-level configurations, trading lift-system efficiency directly against acoustic source strength across all phases of flight.
Build and run high-fidelity CFD campaigns - steady RANS for performance maps, unsteady and scale-resolving simulations where acoustic source prediction demands it - with documented mesh and turbulence-model sensitivity studies.
Couple aerodynamic predictions to acoustic propagation models, working with the Acoustics team to trace far-field noise back to specific unsteady flow mechanisms on the vehicle.
Plan and execute wind tunnel test campaigns end to end: model definition, instrumentation plans, test matrices, on-site execution, and post-test correlation against CFD predictions.
Develop and maintain the vehicle aerodynamic database - polars, control derivatives, and interactional effects - feeding flight dynamics, performance, and loads analyses.
Correlate predictions against flight test data, drive down model uncertainty, and publish updated aero models with quantified validation status.
Present design trades and analysis results at internal design reviews, defending recommendations with data when performance and noise pull in opposite directions.
Define aerodynamic requirements and acceptance criteria for vehicle hardware, and review geometry releases for compliance with the validated aero lines.

Required Senior Flight Control Engineer
Why this role exists:
Most flight control teams optimize for handling qualities and margins, then hand the result to acousticians and hope. The causality runs the other way: how the vehicle moves - its transients, its trajectories through a city - is a dominant term in its acoustic signature. This role exists to put a senior control engineer at the point where those decisions are made, owning control laws in which noise is a hard design constraint alongside stability and performance, not a downstream measurement.
What you'll own:
Design, implement, and tune the vehicle's core control laws in MATLAB/Simulink, with acoustic-source models embedded directly in the design loop.
Develop control strategies that treat radiated noise as a hard constraint alongside stability margins and handling qualities, through every phase of flight.
Build and maintain the nonlinear 6-DOF simulation environment used for control design, Monte Carlo robustness analysis, and pre-flight rehearsal of every test point.
Define attitude, rate, and trajectory constraints for noise-critical flight phases - departure, approach, and low-altitude operations over populated areas - jointly with the Acoustics team.
Autocode flight-critical control software to the real-time flight computer and verify it through processor-in-the-loop and hardware-in-the-loop campaigns.
Plan and execute flight test campaigns: write test cards, monitor telemetry in real time, and lead post-flight reconciliation of data against model predictions.
Run system identification programs that anchor aerodynamic, actuator, and noise-source models in flight data, feeding corrections back into the next control law release.
Lead control law design reviews with documented stability margins, robustness analyses, and failure-mode behavior, building the evidence base certification authorities will eventually audit.

Were looking for a Tech Lead to be the company-wide focal point for AI utilization, infrastructure, and security - across both our core compliance platform and the Agentic Suite. This is a hands-on technical authority role, not a management track: you'll lead a small team (2-5 engineers) while spending most of your time driving how the company builds with AI, not on people management. You'll report to the Agentic BU owner.

Responsibilities
Own the company's AI infrastructure - model access, tooling, evaluation, cost/performance tradeoffs - across all engineering teams.
Drive AI-native R&D transformation: bring agentic development practices into day-to-day engineering workflows, not just the product.
Own AI-related security posture: data handling, model/tool access control, secure use of third-party AI services.
Be the go-to technical authority other teams pull in when adopting AI tooling or agentic patterns.
Lead a small team (2-5 engineers) building and maintaining shared AI infra and tooling.
Identify workflow inefficiencies across R&D and drive the infra/tooling changes that fix them.

Required Acoustics Research Engineer
Why this role exists
Noise - not range, not cost - is what keeps aircraft out of cities. We exist because we believe an acoustic signature roughly four times lower than conventional eVTOLs changes what urban aviation is allowed to be, and this role sits at the exact center of that bet. You will own the methods that tell us, with numbers we can defend, how quiet the vehicle actually is - and where the next decibel comes from.
What you'll own:
Develop and validate source-noise prediction models for our novel lift and propulsion architecture, from first-principles aeroacoustics through empirically anchored corrections.
Design and execute acoustic measurement campaigns in anechoic facilities and at outdoor ranges, owning microphone array design, calibration chains, and data acquisition end to end.
Reduce rig and flight-test acoustic data into validated spectra, directivity maps, and component-level source rankings that directly drive vehicle design decisions.
Quantify community-noise exposure using EPNL, SEL, dBA, and tonality-corrected metrics, and translate the results into hard, testable requirements for design teams.
Build psychoacoustic models - loudness, sharpness, tonality, fluctuation strength - and run jury listening studies that connect physical metrics to human annoyance.
Run aeroacoustic simulations coupling CFD to acoustic analogy solvers (FW-H or equivalent), and reconcile predictions against measured data every design cycle.
Define and defend the vehicle noise budget at design reviews, allocating margins across subsystems and flagging acoustic risk before hardware is built.
Author measurement procedures, test reports, and model validation documents rigorous enough to anchor future certification arguments.

We are looking for a builder to join our Professional Services team. Someone who writes code, ships solutions, and looks for ways to automate repetitive work. Youll work directly with customers to implement, extend, and integrate our compliance platform built on Salesforce- and just as importantly, youll build AI-powered agents and internal tools that make the whole team faster. This is a hands-on technical role: youll write code, build integrations, migrate data, and solve problems that dont always come with a clear spec.

The work spans Salesforce development, Python scripting, and AWS-based workflows. You will work across multiple projects and customer environments, often picking up requirements on the fly and figuring out the best path forward independently.

To succeed here, you need to move fast, take ownership of problems before they're fully defined, and use AI tools as a natural part of how you build- not as an occasional shortcut, but as how you actually work.

Responsibilities:
Custom Development: Design and build Salesforce solution- including Apex, LWC, and integrations- based on customer requirements.
AI Agents & Internal Tooling: Design and build AI-powered agents and internal tools that improve how the team delivers- automating repetitive work, streamlining processes, and turning good ideas into working tools without waiting to be asked.
Build Python-based scripts and tools to support customer onboarding, automation, and data processing needs.
Use AI coding tools actively throughout your work- to move faster, explore unfamiliar territory, and deliver without waiting for fully defined specifications.
Translate customer requirements- sometimes vague, sometimes complex- into working Salesforce configurations, automated flows, and integrated solutions.
Collaborate with R&D, Product, and Customer Success to ensure new platform features land well in a services context.