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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.

Were looking for a hands-on builder and technical Product Manager to lead complex, core modules within our platform for the Life Sciences ecosystem.

In this role, youll work at the intersection of customer needs, business strategy, and technology. As part of our AI-forward product organization, you will leverage modern AI tools and vibe coding to accelerate early-stage prototyping and drive solutions through the full product lifecycle.

If you enjoy diving into complex backend architectures, validating ideas directly with enterprise clients, and using AI to turn concepts into practical prototypes - this role is for you.

Responsibilities
Drive End-to-End Product Initiatives: Take ownership of complex features and workflows from initial concept to launch and customer adoption.
Rapid AI Prototyping (Vibe Coding): Utilize modern AI tools to rapidly create functional prototypes, test concepts, and clarify requirements before full development.
Enterprise Customer Discovery: Work directly with stakeholders to uncover key operational challenges and validate proposed product solutions.
Technical & Architectural Collaboration: Partner closely with System Architects and R&D to define backend structures, API integrations, data modeling, and analytics.
Cross-Functional Alignment: Collaborate with Sales, Marketing, and Customer Success to align product capabilities with market strategy and business goals.