Field Application Engineer Jobs in Toronto, Ontario, Canada
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Toronto, Ontario, Canada
Cloud Application Specialist / DevOps Cloud Engineer
Cloud Application Specialist / DevOps Cloud Engineer
Field Application Engineer
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About the role
Job Title: Field Application Engineer Location: Toronto, ON, Canada Job Type: Full time Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, dependable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com. About the Job We are looking for a proactive and tech-savvy Field Application Engineer to support the deployment, testing, and client-facing operations of our cutting-edge robotic systems—including drones, quadrupeds, and humanoid robots. This role is ideal for recent graduates who thrive in both technical and operational environments and are ready to travel to project sites around the U.S. You will be based out of our Toronto, ON, Canada site. What You’ll Get To Do: ● Deploy and operate robotic systems in the field, support testing and data collection. ● Supervise remote operations and assist during client presentations and demos. ● Facilitate smooth, clear communication between engineers and non-technical stakeholders. ● Document technical issues, test results, and client feedback in detail. ● Troubleshoot hardware and software issues and contribute to continuous workflow improvement. ● Collaborate with cross-functional teams to iterate on system performance and usability. What You Have: ● Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Mechatronics, or a related technical field. ● Strong communication skills—able to translate complex technical topics for various audiences. ● Willingness to travel frequently across the country. ● Excellent organizational skills and the ability to work well in team-based environments. The Extras That Set You Apart: ● Hands-on experience with robotics hardware (drones, quadrupeds, humanoids, or similar). ● Familiarity with basic electronics, sensors, and robotic subsystems. ● Basic coding/scripting skills (Python, C++, or similar). ● Prior experience in field testing, remote operations, or client-facing tech roles is a plus. Compensation The salary range for this role is dependent upon experience. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Peoria, Illinois site. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. We are dedicated to fostering a diverse and inclusive workplace and encouraging applicants from all backgrounds to apply. \n
\n $60,000 - $80,000 a year \n
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About FieldAI
FieldAI is building general robot intelligence for the physical world. FieldAI’s technology enables robots to operate safely and reliably in unstructured environments where most of the world’s work happens, without prior maps, GPS, predefined routes, or supporting infrastructure. Its hardware-agnostic approach works across different robot types, allowing customers to deploy the right form factor for the job. FieldAI robots are deployed globally across hundreds of customer sites on three continents, supporting industries including construction, energy, security, and manufacturing. Founded by veterans of NASA JPL, DARPA, and Google DeepMind, FieldAI is bringing AI off the screen and into the field.