Remote Jobs at Dexterity

Candidates must have substantial experience leading Computer Vision and Machine Learning teams, particularly in creating CV models and robust regression pipelines. Expertise in semantic segmentation and instance segmentation is essential, along with proficiency in platforms like PyTorch or TensorFlow. Significant experience with RGBD datasets and point clouds is required, as well as strong coding skills in C++ and Python. Candidates should have experience architecting models, training pipelines,…

Candidates must have 7+ years of experience in infrastructure software development, SRE, production engineering, and/or backend service development. A minimum of 5 years of experience in C++ or Go, along with proficiency in a scripting language like Python, is required. Additionally, a deep understanding of Linux, particularly in areas such as bootloaders, connectivity, memory management, filesystems, kernel, and drivers, is essential.

Candidates must have an MS or PhD in Computer Science or a related discipline, or equivalent experience. A strong background in InfoSec, software supply chain security, and secure coding practices is essential. Previous experience leading or significantly contributing to achieving ISO27001 and SOC2 compliance is required, along with experience working with auditors. Solid experience in C++ and Python is also necessary, along with strong knowledge of modern DevOps/SecOps tooling and industry tren…

Candidates should have a degree in engineering or a related field and hands-on experience in reliability engineering. Proficiency in reliability modeling tools such as Reliasoft, Weibull++, and JMP is required, along with experience in data analysis and statistical methods. Strong collaboration skills are essential for working with cross-functional teams and external labs.

Candidates should possess a strong background in algorithms, machine learning, and optimization techniques. Experience in reinforcement learning, task and motion planning, and sensor fusion is essential. A solid understanding of software system design and the ability to develop high-quality, maintainable software is also required.

Candidates must have a Bachelor's degree in Computer Science or a related field and extensive experience in Computer Vision and Machine Learning. Proficiency in C++ and Python is required, along with familiarity with RGBD datasets and point clouds. Experience in developing ML models for autonomous vehicles or robotics is highly preferred, as is knowledge of cloud infrastructure for building training and serving pipelines.

Candidates should have a strong emphasis on engineering with technical knowledge in mechanical or electrical design, industrial perception or compute hardware, and AGV or AMR technologies. Proficiency in CAD software such as Solidworks or NX is preferred, along with experience in managing the implementation and deployment of complex software and hardware solutions on time.

Candidates should possess a PhD in Statistics, Applied Mathematics, or a related field. A strong foundation in core statistical analysis methods such as regression, probability, and hypothesis testing is required. Proficiency in data cleaning, preparation, and visualization, along with experience in Python, machine learning, and spreadsheets for data manipulation and modeling is essential. Familiarity with simulation tools for building operational models and a consultative background to support …

Candidates must hold a BS, MS, or PhD in Computer Science or a related discipline and have over 5 years of relevant industry or research experience. Strong knowledge in manipulation, control, simulation, and reinforcement learning is essential, along with proficiency in software system and interface design.

Candidates should possess a Master’s degree in Computer Science, Robotics, or a related field, and have at least 5 years of experience in machine learning engineering, with a focus on robotics and reinforcement learning. Strong programming skills in Python are required, along with experience using deep learning frameworks such as PyTorch. Familiarity with robotics concepts, sensor fusion, and state estimation is also necessary, as is the ability to work with multimodal sensor data.