Joby Aviation
Robotics · eVTOL
- HQ
- Santa Cruz, US
- Website
- jobyaviation.com
Robotics · eVTOL
Currently tracking 2 active AI roles, down 66% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $134k–$249k (avg $190k).
Joby Aviation currently has 9 active AI-related roles in our index. The most common open titles are: Detect And Avoid Lead, Flight Research Senior Machine Learning Engineer, Flight Test Lead (Advanced Development), Senior AI Engineer, Senior Autonomy Data Infrastructure and Analytics Software Engineer. Most positions are in Engineering.
Joby Aviation's active AI hiring is concentrated in: agents (67%), evaluation (11%), post-training (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Joby Aviation is hiring AI talent in: United States (9 roles).
Job postings at Joby Aviation most frequently reference: evals, inference infra, model serving, agent orchestration, fine tuning.
| Title | Stage | AI score |
|---|---|---|
| Flight Research Senior Machine Learning Engineer This role focuses on building and deploying state-of-the-art perception and reasoning algorithms for autonomous aircraft, training models, and evaluating their performance in complex environments. It involves integrating deep learning with computer vision techniques using multi-sensor inputs and ensuring reliability and robustness in safety-critical applications. | Post-trainServe | 8 |
| Staff Flight Research Machine Learning Engineer Staff Machine Learning Engineer at Joby Aviation to design and build perception and reasoning algorithms for autonomous aircraft (Superpilot™ stack). Responsibilities include training models, architecting training infrastructure, evaluating algorithms, integrating deep learning with computer vision using multi-sensor inputs, and developing diagnostic tools. Requires extensive experience in autonomous platforms, deep learning, computer vision, C++, Python, and PyTorch, with a focus on shipping scalable, high-quality code and improving live system dependability. | AgentData | 8 |
| Senior AI Engineer Senior AI Engineer to build production-grade AI capabilities for manufacturing and enterprise workflows, focusing on AI platform foundations, scalable AI services, ML/LLM infrastructure, agent frameworks, evaluation strategies, and safety mechanisms. The role involves end-to-end delivery from data to monitoring and lifecycle management. | AgentServe | 8 |
| Detect And Avoid Lead Lead for Detect and Avoid (DAA) capability in autonomous aircraft, owning strategy, architecture, requirements, and roadmap. This role bridges radar development, autonomy, systems engineering, safety, and regulatory compliance, ensuring safe airspace sharing through sensing and avoidance systems. It involves defining requirements for an in-house radar, leading technical strategy across the sensing stack and avoidance logic, and driving verification and validation through various testing methods, including direct engagement with regulators. | AgentServe | 7 |
| Flight Test Lead (Advanced Development) Lead flight test activities for autonomy programs, focusing on planning, execution, and analysis of tests for autonomous aircraft systems. This role involves directing a cross-functional team, developing test policies, and providing expertise on flight test strategy for autonomous flight systems. | Agent | 7 |
| Senior Autonomy Data Infrastructure and Analytics Software Engineer Seeking a Staff Software Engineer to build the data infrastructure and evaluation platform for an autonomy stack in autonomous aircraft. The role involves owning the end-to-end data lifecycle, from flight logs to safety-critical metrics, designing scalable ingestion pipelines, transforming raw data into reliable datasets and metrics, and developing analysis and evaluation platforms to support development, validation, and operational insight. This includes building a large-scale evaluation platform for batch jobs, providing self-serve tools for autonomy teams, and investigating anomalies. | Eval GateData | 7 |