Jobs at Joby Aviation

Build AI data and evaluation platforms for autonomous aircraft, transforming flight telemetry, sensor, imagery, and simulation data into curated datasets, metrics, and workflows. Develop scalable annotation, data quality, evaluation, visualization, and machine learning solutions for perception and decision-making. Collaborate with autonomy, controls, and flight software teams while supporting system reliability, anomaly investigation, safety validation, and production ML deployment.

Develop flight controls software, simulation capabilities, and stability and performance analysis tools for VTOL and CTOL aircraft. Design control algorithms, formulate robustness and performance test plans, support flight testing from a remote ground station, and collaborate with software and controls engineers on integrated solutions. The role requires expertise in aircraft dynamics, robust and optimal control, real-time safety-critical C++, Python, system simulation, and signal processing.

Develop, implement, and maintain safety training programs for manufacturing and aviation environments. Ensure regulatory compliance, manage training systems and records, coordinate curricula and onboarding, deliver instructional materials, and monitor schedules, costs, enrollment, equipment, and effectiveness. Collaborate with engineers, subject matter experts, and production leaders to create practical training and recommend improvements based on industry requirements and trainee feedback.

Leads Blade’s aviation safety strategy, safety management systems, operator oversight, audits, investigations, corrective actions, emergency response, workplace safety, and regulatory compliance. Oversees contracted Part 135 operators and safety teams while developing safety programs for Joby’s eVTOL and eIPP operations in New York City. Serves as the senior safety authority and liaison with Joby leadership, regulators, insurers, and aviation operators.

Design, train, and deploy machine learning models and perception software for autonomous aircraft. Develop real-time AI algorithms using deep learning, 3D computer vision, and sensor fusion for navigation and detect-and-avoid systems. Build model training, evaluation, data management, simulation, and analysis tooling while collaborating with software, controls, sensing, and flight engineering teams. Optimize production autonomy systems and mentor engineers through strong software practices.

Coordinate system-level testing projects for Joby’s S4 aircraft certification program. Responsibilities include scheduling, resource allocation, milestone planning, issue escalation, technical decision-making, test request prioritization in JIRA, documentation management, performance tracking, and cross-functional coordination. The role supports hardware-in-the-loop testing, test execution, root cause analysis, aircraft systems integration, and delivery of verified test results across multiple test sites.

Supports the J208 Program Lead by managing schedules, budgets, forecasts, dependencies, critical paths, risks, and resource constraints across multidisciplinary aerospace engineering teams. Coordinates hardware, software, test, and finance stakeholders; resolves bottlenecks; maintains integrated master schedules; and provides recommendations and program management best practices to guide execution.

Leads execution of the J208 advanced aircraft development program across engineering, flight test, hardware, software, and business teams. Owns integrated master schedules, budgets, forecasting, risk mitigation, critical-path resolution, and cross-functional alignment. Develops program management standards and reporting frameworks, resolves complex technical and resource constraints, mentors team members, and advises senior leadership on strategic program decisions.

Leads Joby Aviation’s enterprise-wide quality organization across quality assurance, quality engineering, quality control, metrology, and supplier quality. Owns FAA Production Certificate approval and compliance under 14 CFR Part 21, oversees AS9100 systems and inspections, drives corrective action and quality metrics, and ensures production quality across eVTOL aircraft manufacturing disciplines including composites, electronics, powertrains, airframe assembly, additive manufacturing, and final integration.

Provide high-level administrative and project coordination support to the Chief People Officer and People Team leadership. Manage executive calendars, meeting preparation, action-item tracking, travel, expenses, visitor hosting, onboarding support, communications, and special projects. The role requires discretion, strong judgment, exceptional organization, and the ability to manage shifting priorities independently in a fast-paced, on-site environment.

Designs and owns digital and mixed-signal electrical subsystems and PCBs for electric aircraft, from schematics and component selection through prototyping, testing, verification, and product support. Responsibilities include PCB layout collaboration, requirements development, DFMEAs, hardware debugging, verification testing, process improvement, and reliability, weight, and efficiency optimization.

Develop and execute experimental development and certification flight tests for CTOL/VTOL fly-by-wire aircraft. Responsibilities include test planning, flight readiness reviews, crewmember test execution, real-time data monitoring, post-flight analysis, troubleshooting, certification reporting, configuration management, and flight documentation. The role coordinates with engineering teams and advises pilots on safety and test decisions while supporting aircraft certification and operational readiness.

Own mechanical designs for aircraft electromechanical assemblies from concept through certification. Responsibilities include prototyping, development testing, mass optimization, stress and thermal analysis, manufacturing and field troubleshooting, system safety and reliability, requirements integration, and design for manufacturability and cost. The role collaborates cross-functionally to deliver safe, lightweight, reliable components supporting aircraft autonomy and perception systems.

Owns the integrated commercial launch program across global and market-specific workstreams. Responsibilities include maintaining the master schedule and critical path, managing dependencies and risks, establishing governance and stage gates, tracking budgets and resources, coordinating escalation processes, and communicating milestones and trade-offs to executives. The role requires influencing cross-functional leaders without direct authority in a fast-paced, regulated aviation environment.

Design and develop autonomy software for autonomous aircraft, including perception, navigation, sensor fusion, state estimation, calibration, simulation, mapping, and advanced sensing. Optimize real-time AI algorithms, integrate autonomy systems, monitor performance, and collaborate with sensing, controls, and flight software teams. The role also involves technical architecture, documentation, code reviews, mentorship, and development of safe, scalable robotics software.

Build and operate the engineering platform supporting aircraft manufacturing software. Responsibilities include developing CI/CD pipelines, internal developer tools, automated testing infrastructure, Kubernetes platforms across cloud and on-premises environments, infrastructure as code, observability, incident response, security controls, and AI-enabled development workflows. The role partners with engineering, QA, and IT to improve software delivery reliability, speed, and compliance.

Design, build, and operate scalable Python backend services, APIs, event-driven systems, integrations, and data pipelines supporting manufacturing and operations. Partner with hardware, manufacturing, quality, and operations teams to deliver reliable production systems. Lead technical design, mentor engineers, establish engineering patterns, and contribute to deployment, monitoring, observability, and continuous improvement across globally distributed teams.

Build and deploy production AI, machine learning, and computer vision systems for aircraft manufacturing. Responsibilities include developing AI-enabled services, APIs, data pipelines, visual inspection and anomaly detection solutions, model safeguards, monitoring, and integrations with factory systems and equipment. The role owns end-to-end delivery, leads technical design, mentors engineers, and establishes scalable practices for reliable AI deployment.

Own integrated software execution across autonomy and flight software programs, coordinating GNC, embedded systems, simulation, ground control, and test infrastructure workstreams. Translate program objectives into prioritized engineering plans, manage dependencies and risks, lead software design through release, and plan software deliverables for flight-test campaigns. Partner with engineering, systems, hardware, and flight-test teams to improve execution processes and communicate technical trade-offs and schedule risks.

Own integrated software execution across flight controls, embedded systems, simulation, ground control, and test infrastructure. Coordinate priorities, dependencies, milestones, risks, design reviews, integration, release planning, and flight-test deliverables. Translate program objectives into actionable engineering work, communicate trade-offs to stakeholders, and improve execution processes for a fast-changing aerospace software environment.