Robotics Trainee Jobs in California (NOW HIRING)

Job Summary:
Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. Saronic is seeking a Mission Operations Engineer – Technical Instructor to design, develop, and deliver advanced training programs in support of their autonomous systems mission sets, ensuring mission readiness across various teams and partners.
Responsibilities:
• Lead instructor-led training for internal operators and external customers on system operation, troubleshooting, and mission workflows
• Facilitate hands-on labs, simulations, and mission exercises across classroom, lab, and field environments
• Serve as the primary interface for trainee learning, ensuring comprehension, engagement, and operational readiness
• Evaluate trainee performance, administer assessments, and provide actionable feedback and remediation
• Lead certification events, operator checkouts, and mission rehearsals
• Translate real-world mission operations and engineering workflows into structured, scalable training programs
• Develop and maintain training materials, including lesson plans, SOPs, labs, simulations, and assessments
• Continuously refine curriculum based on field experience, trainee performance, and product updates
• Partner closely with Engineering, Product, and Mission Operations to ensure training reflects current system capabilities and best practices
• Own customer onboarding and training delivery, ensuring successful adoption of Saronic systems
• Translate complex technical concepts into clear, operator-focused instruction tailored to varying experience levels
• Act as a trusted technical advisor to customers during training and early operational use
• Gather customer feedback and translate it into actionable improvements for training and product teams
• Deploy and operate ASV systems in real-world maritime environments to support training and mission execution
• Lead on-water training events, demonstrations, and mission scenarios
• Diagnose and resolve software and hardware issues in the field while incorporating lessons into training
• Ensure training environments accurately reflect real-world operational conditions
• Support and provide feedback on the development, testing, and maintenance of software for autonomous surface vessels using C++ and Rust in a Linux environment
• Collaborate with cross-functional teams to support system integration and performance
• Conduct testing and validation of system updates in both simulated and live environments
• Document technical processes, findings, and best practices
• Collaborate with stakeholders to achieve mission and training goals
• Foster a collaborative, learning-focused team environment
• Provide mentorship and technical guidance to other instructors and operators
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent technical experience
• Minimum 4–8 years relevant experience
• Experience in software development with C++ in Linux
• Experience with embedded systems and real-time computing
• Strong technical troubleshooting skills in field environments
• Demonstrated success in project coordination and leadership in current role.
• Strong organizational and time management skills, with the ability to handle multiple projects simultaneously.
• Excellent interpersonal and communication skills, with the ability to effectively collaborate with team members, stakeholders, and senior management.
• Demonstrated problem-solving abilities and a proactive approach to addressing challenges.
• Strong leadership qualities, including the ability to motivate and inspire team members.
• Job requires up to 50% travel.
Preferred:
• Experience with robotics, autonomy, or maritime systems preferred
Company:
Saronic is building cutting-edge unmanned surface vehicles that enable maritime security and domain awareness by combining best-in-class hardware, software and artificial intelligence into one scalable, fully integrated platform. Founded in 2022, the company is headquartered in Austin, USA, with a team of 1001-5000 employees. The company is currently Late Stage.