Top Robotics Jobs in Seattle, WA

Lead ML Performance Optimization for autonomous driving, collaborating across teams, implementing optimization techniques, and mentoring engineers for career growth.

Identify and qualify prospective sites for drone operations through high-volume outbound outreach, research, and relationship-building. Maintain pipeline in CRM, coordinate site visits, support negotiations and transaction processes, and advance opportunities toward signed agreements while tracking metrics and contributing to sourcing improvements.

The Sales Manager will develop channel sales strategies, lead a team of Channel Partner Managers, manage distributor relationships, and drive revenue growth while ensuring alignment with business objectives.

The Manufacturing Engineer II develops and implements efficient manufacturing processes, coordinates product launches, and improves production methods for quality and cost-effectiveness.

Seeking an Independent Sales Representative with a passion for the restaurant/bar industry. Role involves selling disruptive POS technology to businesses, focusing on consultative sales. Candidates should have restaurant experience and a proactive, motivated mindset.

The Regional Sales Manager will develop new business opportunities, manage client relationships, and drive revenue growth in the manufacturing and logistics sectors.

The Locality Expert will conduct market research, collaborate on policy creation, perform quality checks, and provide local context for data accuracy in the automotive industry.

PowerLight Technologies seeks innovative, hands-on contributors skilled in hardware, software, and project management. The role emphasizes teamwork, curiosity, and problem-solving in the evolving field of long-distance laser power beaming.

The Chief of Staff assists the CEO with high-priority initiatives, driving execution, increasing operational efficiency, and ensuring effective communication within the company.

The Machine Learning Engineer will build and maintain ETL pipelines for image datasets, develop model training infrastructure, and work closely with farmers to implement ML solutions.