Job description

Joby Advanced Development designs, develops, and flight-tests novel aircraft using a software-first autonomy approach. We build and deploy autonomy, perception, planning, and radar systems across conventional, electric, and hydrogen-electric aircraft in both CTOL and VTOL configurations. Joby Advanced Development is seeking an Autonomy Senior Machine Learning Engineer, to design and build the state-of-the-art perception and reasoning algorithms for our Superpilot™ autonomy stack. This position offers a unique opportunity to enable our aircraft to safely and autonomously navigate their complex environment. In this role, you will design and develop solutions for aircraft autonomy involving perception, navigation, and other applications. You will work closely with other software engineers and AI experts in computer vision, robotics, navigation, and controls. The role requires deep expertise with machine learning algorithms, hands-on software engineering, and autonomous systems industry experience. You will train perception models and develop robust perception software for autonomous flight. Further, you will also apply a data-centric approach to creating AI solutions for simulation, mapping, and advanced sensing with cameras, lidars, and radar. Your work will help teams deploy state-of-the-art AI algorithms and systems for autonomous flight on multiple types of aircraft. We are a small, high-impact team that values curiosity, technical initiative, and the ability to operate independently. You will collaborate deeply with sensing, controls, and flight software engineers to build a foundation that accelerates our path to safe, autonomous flight. The right candidate is a strong autonomy machine learning engineer who cares deeply about system design, software engineering, and enabling fast, safe iteration across multiple aircraft programs. • Autonomy ML Development • Design, train, and maintain state-of-the-art ML models for perception on autonomous aircraft • Combine deep learning and 3D computer vision techniques for sensor fusion, navigation, and detect-and-avoid • Build high-performance model training pipelines and extensive evaluation systems to ensure reliability and quality • Autonomy Technical Solutions • Optimize and tune real-time AI perception algorithms for autonomous aircraft • Contribute to software development for data management, annotation, and curation • Contribute to autonomy modeling, simulation, and analysis software tooling • Collaborate closely with the rest of the Superpilot™ team to ideate, plan and execute on high-quality, well-integrated solutions and features • Monitor system health and performance, proactively addressing issues and providing user support • Degree in computer science, aerospace engineering, or related field • 8+ years of experience in machine learning • Experience in developing software and systems for autonomous vehicles • Strong proficiency in python • Extensive practical knowledge of state-of-art models for real-time perception • Deep understanding of 3D computer vision and machine learning for video • Ability to invent and quickly prototype technical solutions in autonomy • Proven ability to document complex technical designs, architectural trade-offs, and implementation roadmaps • Champion of software best practices, including rigorous code reviews and mentorship • Excellent communication skills for collaborating with cross-functional teams • Expert-level software engineering: deep expertise in architecting and writing clean, scalable, and maintainable code • Professional software development experience with multi-disciplinary teams in aerospace autonomy • Experience in autonomous vehicle software development • Experience deploying ML models in a production environment using modern MLOps principles and tools (e.g., MLflow, Kubeflow) • Experience in processing aircraft sensors data such as GPS, inertial, ADS-B, air data, radio data • Experience in ROS2 or related middleware and DDS systems • Competence in C++ Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $180,500 - $250,000/yr . The compensation package will be determined by job-related knowledge, skills, and experience. Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more. Joby Aviation is an equal opportunity employer.

Requirements

Must-haves

Autonomy ML Development • Design, train, and maintain state-of-the-art ML models for perception on autonomous aircraft
Combine deep learning and 3D computer vision techniques for sensor fusion, navigation, and detect-and-avoid
Build high-performance model training pipelines and extensive evaluation systems to ensure reliability and quality
Autonomy Technical Solutions • Optimize and tune real-time AI perception algorithms for autonomous aircraft
Contribute to software development for data management, annotation, and curation
Contribute to autonomy modeling, simulation, and analysis software tooling
Collaborate closely with the rest of the Superpilot™ team to ideate, plan and execute on high-quality, well-integrated solutions and features
Monitor system health and performance, proactively addressing issues and providing user support
Degree in computer science, aerospace engineering, or related field
8+ years of experience in machine learning
Experience in developing software and systems for autonomous vehicles
Strong proficiency in python
Extensive practical knowledge of state-of-art models for real-time perception
Deep understanding of 3D computer vision and machine learning for video
Ability to invent and quickly prototype technical solutions in autonomy
Proven ability to document complex technical designs, architectural trade-offs, and implementation roadmaps
Champion of software best practices, including rigorous code reviews and mentorship
Excellent communication skills for collaborating with cross-functional teams
Expert-level software engineering: deep expertise in architecting and writing clean, scalable, and maintainable code
Professional software development experience with multi-disciplinary teams in aerospace autonomy
Experience in autonomous vehicle software development
Experience deploying ML models in a production environment using modern MLOps principles and tools (e.g., MLflow, Kubeflow)
Experience in processing aircraft sensors data such as GPS, inertial, ADS-B, air data, radio data
Experience in ROS2 or related middleware and DDS systems

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

machine learningaimlrestpython

Platform: icims
Effort: medium

Benefits

Benefits detected in the listing.

Vision

401(K)

Paid Time Off