Senior Software Engineer - ML Operations

What you’ll do Implement and maintain state-of-the-art real-time perception solutions using Python, C++, Docker, and other modern tools. Build high quality software in a dynamic fast-paced environment. Understand business objectives and develop models that help to achieve them, along with metrics to track their progress. Build in-cloud infrastructure to process and gain insights into large datasets and machine learning models performance. Explore and visualize data to gain an understanding of it, then work with developers to curate and control training and testing data. Design and build dashboards and metrics to monitor perception solutions. Deploy models using state‑of‑the‑art ML infrastructure and quickly analyze and refine model output. Collaborate with the Perception team and with other teams to drive best practices and improve quality standards. Write requirements and documentation for peers and for leadership to drive implementation and establish short‑ and long‑term development and gains. What you’ll need A minimum of Master’s degree in a related discipline (i.e., Computer Science, Electrical Engineering, Mechanical Engineering, Mathematics, etc.) Minimum of 6 years of professional experience developing software applications and deploying on AWS/GCP/Azure. A good grasp of CI/CD pipelines, Docker, Kubernetes and IaC (Infrastructure‑as‑code) tools like Terraform, CloudFormation and Helm. Experience working with relational and non‑relational databases, data warehousing, and data streaming frameworks. Familiar with concepts like firewalls, encryption, VIPs. Experience deploying and monitoring ML models at scale. Solid software engineering skills with an expertise in at least one language and its associated stack. Ability to understand and help design a modern perception of hardware and software stack for a complex robotics system. Plus: Experience implementing portable solutions using containers both in cloud and on edge. Plus: Experience with ML cloud computing models and tools (WandB, TFX, TensorBoard, KFP, etc.) Leadership: need to own a perception sub‑system. Our environment Up to 10% of travel may be required. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations. The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi‑weekly basis. Benefits and compensation The base range for this position in the posted location is $149,000.00 - $204,600.00, however, base pay offered may vary depending on job‑related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401(k), PTO, and/or other benefits. Equal opportunity statement We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information. #J-18808-Ljbffr Dormont Manufacturing Co