Senior Software Engineer - ML Data Analytics (On-site)Company Overview: Dyna Robotics is at the forefront of revolutionizing robotic manipulation with cutting-edge foundation models. Our mission is to empower businesses by automating repetitive, stationary tasks with affordable, intelligent robotic arms. Leveraging the latest advancements in foundation models, we're driving the future of general-purpose robotics—one manipulation skill at a time.
Dyna Robotics was founded by industry leaders who previously achieved a $350 million exit in grocery deep tech as well as top robotics researchers from DeepMind and Nvidia. Our team blends world-class research, engineering, and product innovation to drive the future of robotic manipulation. With sizable funding already in place, we're positioned to redefine the landscape of robotic automation. Join us to shape the next frontier of AI-driven robotics.
Position Overview: We are seeking a Senior Data Engineer to join our onsite team in Redwood City, California. In this hands-on role, you will design, implement, and maintain systems that process video and sensor data to extract meaningful insights. This includes developing algorithms for automatic labeling and detecting data quality issues in order to improve our machine learning models. Strong mathematical skills—particularly in algorithms and geometric calculations for extracting signals from video and 3D sensor data—are essential.
You will collaborate closely with machine learning engineers and product leaders, contributing to backend systems, APIs, and machine learning infrastructure as needed. If you thrive in a fast-paced startup environment and are excited to solve challenging engineering problems with cutting-edge technologies, we'd love to hear from you!
Key Duties: Develop and implement algorithms to process and analyze video and sensor data.Utilize geometric and mathematical calculations to extract signals from video and 3D sensor data.Build, test, and maintain robust data pipelines and workflows.Collaborate with engineers, researchers, and product team members to identify data needs and develop solutions.Improve machine learning models by providing high-quality processed data.Contribute to other backend systems, APIs, and machine learning infrastructure as needed.Leverage cloud computing platforms (AWS or GCP) for scalable processing and optimization.Qualifications: Strong mathematical skills, including experience with algorithms and geometric calculations.Proficiency in Python and experience with libraries such as NumPy and Pandas.Experience with cloud computing platforms (AWS or GCP) and managing compute resources.Strong problem-solving skills and ability to work independently.Effective communicator with a team-oriented approach.Bachelor's degree or higher in Computer Science or a related field.At least 5 years of professional experience in the software industry.Experience with relational and NoSQL databases such as PostgreSQL and Redis.Preferred Qualifications: Background in working with sensor data from autonomous vehicles (AVs), robotics, or computer vision projects.Familiarity with machine learning concepts and data preprocessing for ML models.Experience building data analysis and visualization tools.Familiarity with big data tools such as Kafka and Apache Spark.Additional Information: Competitive salary and equity in a seed stage venture-backed startup.Comprehensive health, dental, and vision insurance.Ample opportunities for professional growth and development through training, mentorship, and challenging projects.
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