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Driving innovation in urban air mobility.
Come fly with us on this adventure.
LOCATION
We’re based in Boston (Remote candidates are also welcome)
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JOB OPENINGS
Dive into the next frontier of urban air mobility with us. We're actively seeking seed round funding and gearing up for exciting times ahead. While details are on the horizon, here's a sneak peek of potential job openings. If you're eager to pioneer the future or invest in it, stay tuned!
Software ENGINEER
Boston, MA
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Responsibilities:
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Design, develop, and test software solutions for eVTOL operations.
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Collaborate with cross-functional teams to integrate software with hardware components.
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Ensure software meets safety and operational standards.
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Continuously improve software performance, efficiency, and scalability.
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Document design processes, software versions, and codebase changes.
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Requirements:
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Bachelor's degree in Software Engineering, Computer Science, or related field.
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Proficiency in relevant programming languages and software development tools.
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Strong problem-solving skills and attention to detail.
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Experience in aerospace or a related industry is a plus.
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Electrical Engineer
Boston, MA
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Responsibilities:
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Design and test electrical systems for eVTOL aircraft.
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Collaborate with software engineers to ensure seamless integration of electrical components.
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Evaluate and select appropriate electrical components and systems.
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Ensure compliance with industry and safety standards.
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Document processes, designs, and modifications for transparency and traceability.
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Requirements:
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Master's degree in Electrical Engineering or related field.
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Strong analytical and problem-solving skills.
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Experience with CAD and simulation tools.
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Experience with embedded systems and multi-sensory inputs is a plus.
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Coding skills in relevant languages are an added advantage.
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Machine Learning Scientist/Engineer
Boston, MA
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Responsibilities:
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Develop, refine, and implement machine learning algorithms tailored to eVTOL operations.
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Collaborate with cross-functional teams to gather, process, and analyze relevant data.
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Integrate machine learning models with the eVTOL's software and hardware systems.
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Monitor model performance and iterate based on real-world feedback.
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Stay updated with the latest advancements in AI and machine learning applicable to aerospace.
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Requirements:
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Ph.D. or Master degree's degree in Computer Science, Engineering, or related field with a focus on Machine Learning.
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Proficiency in Python, TensorFlow, or other relevant ML frameworks.
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Strong understanding of AI and ML principles and techniques.
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Experience in deploying machine learning models in real-world scenarios.
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​Experience with computer vision and multi-modal understanding is a plus.
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