3 дня назад
Staff Software Engineer - Machine Learning/Computer Vision (Robotics)
149 000 - 223 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer - Machine Learning/Computer Vision (Robotics): Building and deploying deep learning, binocular, and 3D vision solutions for autonomous warehouse robots with an accent on robot perception, sensor data processing, and edge/cloud infrastructure. Focus on designing on-bot vision systems, monitoring model performance, and integrating ML solutions with robotics, Linux, QA, and DevOps platforms.
Location: Wilmington, Massachusetts, USA; hybrid work. Up to 10% travel to client and customer locations may be required.
Base salary: $149,000–$223,000 per year, plus benefits.
Company
develops AI-powered robotic and software platforms for high-density warehouse automation and end-to-end supply chain operations.
What you will do
- Implement and maintain on-bot computer vision solutions using Python, C++, Docker, Kubernetes, and modern development tools.
- Build on-bot and cloud infrastructure for binocular and 3D vision solutions.
- Design dashboards and metrics for developing and monitoring vision systems.
- Work with sensor packages, electrical engineers, and Linux kernel developers to ensure accurate and timely data processing.
- Collaborate with QA and DevOps engineers to deploy vision solutions across the robot fleet.
- Own a perception subsystem and contribute to the development and deployment of machine learning solutions.
Requirements
- Master’s degree or higher in computer science, electrical engineering, mechanical engineering, mathematics, or a related discipline.
- At least 6 years of professional software engineering experience and strong expertise in at least one programming language and its associated stack.
- Ability to understand and help design perception hardware and software stacks for complex robotics systems.
- Direct experience developing machine learning models from scratch and implementing state-of-the-art computer vision models in real-world applications.
- Ability to lead and own a perception subsystem while collaborating across engineering teams.
- Ability to travel up to 10% and drive and/or fly to client and customer locations; a valid driver’s license is required.
Nice to have
- Experience building portable containerized solutions for cloud and edge environments.
- Experience with ML cloud computing tools such as Weights & Biases, TFX, TensorBoard, and KFP.
Culture & Benefits
- Work on autonomous robotics and machine learning systems transforming supply chain operations.
- Medical, dental, vision, and disability benefits.
- 401(k), paid time off, and other benefits.
- Employees manage business expenses for bi-weekly reimbursement.
- Collaborative environment focused on innovation, diverse perspectives, and cross-functional engineering.
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