
51 - 200 funcionários
Fundada em 2017
🚘 Automotivo
📦 Logística
🚗 Transporte
Automotive • Logistics • Transport
A May Mobility é pioneira no desenvolvimento de tecnologia para veículos autônomos e soluções de transporte. Eles se concentram em criar opções de transporte público seguras, confiáveis e acessíveis, implantando ônibus sem motorista em ambientes urbanos. Suas soluções visam melhorar a mobilidade urbana, reduzir a congestão do tráfego e fornecer alternativas de transporte ecologicamente corretas. Com uma forte ênfase na segurança de pedestres e passageiros, a tecnologia da May Mobility se integra perfeitamente à infraestrutura existente das cidades para oferecer uma nova visão do transporte público.
🕒 Junho 8
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $235.000 - $275.000 / ano
⏰ Tempo Integral
🟠 Sênior
👷🏻♀️ Engenheiro
🦅 Patrocina Visto H1B
👻 Score fantasma 8%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

51 - 200 funcionários
Fundada em 2017
🚘 Automotivo
📦 Logística
🚗 Transporte
Automotive • Logistics • Transport
A May Mobility é pioneira no desenvolvimento de tecnologia para veículos autônomos e soluções de transporte. Eles se concentram em criar opções de transporte público seguras, confiáveis e acessíveis, implantando ônibus sem motorista em ambientes urbanos. Suas soluções visam melhorar a mobilidade urbana, reduzir a congestão do tráfego e fornecer alternativas de transporte ecologicamente corretas. Com uma forte ênfase na segurança de pedestres e passageiros, a tecnologia da May Mobility se integra perfeitamente à infraestrutura existente das cidades para oferecer uma nova visão do transporte público.
• Work independently with cross-functional teams to develop software and system requirements. • Lead major architectural updates to the perception stack, including system-level design, modularization, and migration strategies that improve scalability, latency, and maintainability across the fleet. • Design, develop, and own scene detection and activation capabilities, classifying the operating scene/scenario and triggering the appropriate perception behaviors and operational design domain (ODD) logic at runtime. • Improve perception robustness under degradation and adverse weather, including sensor fault detection, health monitoring, graceful degradation, and fallback strategies for rain, snow, fog, glare, low-light, and sensor soiling/occlusion conditions. • Design, implement, and test state-of-the-art perception features on time with high quality, industrial-grade production code. • Integrate large-scale multi-modal models (including but not limited to VLMs and LLMs) into the perception stack to improve semantic scene understanding and reasoning. • Track and trend technical performance of perception in the field. • Lead major feature development including feature design, code reviews, issue diagnosis, and resolution. • Lead extensive testing to validate features and satisfy release schedules. • Lead development related to data, development, and ML pipelines, specifically focused on multimodal data alignment for training foundation models.
• A minimum of 5+ years of industry experience working on real-world robot systems maintaining high-quality industrial-grade code. • Master's degree in Robotics, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation. • Demonstrated experience leading or making major architectural decisions for a perception, robotics, or autonomy software stack. • Strong programming skills in C/C++/Python; software development in Linux environments. • Strong experience in ML/DL development with PyTorch/TensorFlow. • Direct experience developing or fine-tuning large-scale multi-modal models (e.g., multi-sensor fusion models, foundation models, including VLM backbones) for real-world perception applications. • Experience working on a combination of several of the following real-time areas: • Computer Vision: object detection, classification, segmentation. • Semantic scene understanding, scene/scenario detection, and open-vocabulary detection. • Perception robustness in degraded or adverse-weather conditions. • Multi-target tracking and sensor fusion. • Extensive experience deploying features/ML/DL models in real-time systems with high accuracy and low latency.
• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. • Rich retirement benefits, including an immediately vested employer safe harbor match. • Generous paid parental leave as well as a phased return to work. • Flexible vacation policy in addition to paid company holidays. • Total Wellness Program providing numerous resources for overall wellbeing
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