Perceptyne logo

Field Application Engineer

Perceptyne
Remote
Remote· about 2 hours ago

Straight from Perceptyne’s careers page. Apply on the company site — no recruiter, no middleman.

Field Application Engineer

Department: Software

About Perceptyne:

Perceptyne is a Deeptech Robotics and AI startup building Industrial Humanoid Robots for automating dexterous tasks. We are revolutionizing the way products are assembled in automotive and electronics industries.

How is it like to work at Perceptyne?

At our core, we like to build things, we evangelize great ideas, and we are grounded.
At Perceptyne, we greatly value these dichotomies:
  • Having experience while not losing a first principles approach.
  • Having a large vision while not losing attention to detail
  • Working on disruptive tech while hitting the market ASAP

Role Overview:

We are seeking a dedicated Applications Engineer (AE) to join our robotics team. The candidate shall play a key role in translating the leading-edge technology of Percpetyne into customer deployments for their automation needs. The ideal candidate will integrate, implement, debug and support applications tailored to meet specific project requirements using Perceptyne’s robots. This role requires a blend of technical expertise, hands-on problem-solving, and close collaboration with clients to ensure the successful deployment and operation of our products. You will play a key role in understanding customer needs, deploying our robots, and providing ongoing support to optimize system performance

An ideal candidate would be:
  • A go-getter
  • Strongly execution focused, while not losing sight of the strategic goals
  • Be able to get a grasp of multiple technologies involved in the system quickly
  • Be able to switch between and focus on multiple assignments
  • Highly self-driven with a strong sense of ownership
  • Able to efficiently navigate his/her way in a new and unknown environment
  • Having strong people skills to get things done

Role Responsibilities

  • Deployment & Integration: Work directly with customers as well as internal teams to install, configure, and integrate Perceptynes robotic systems into client’s environment and ensure smooth operation.
  • Technical Support & Troubleshooting: Diagnose and resolve technical issues, both remotely and on-site, minimizing downtime and optimizing performance.
  • Customer Collaboration: Partner with clients to understand their operational needs and provide guidance on best practices for system utilization.
  • Validation & Testing: Conduct system validation campaigns, software updates, and performance evaluations to ensure optimal functionality.
  • Product Improvement: Provide feedback to internal engineering teams based on real-world deployments, contributing to product enhancements.
  • Documentation & Training: Develop technical documentation, troubleshooting guides, and user manuals while conducting customer training sessions.
  • Cross-Functional Coordination: Work closely with the engineering, product management, and customer success teams to ensure smooth execution of customer projects.

Skills and Requirements

  • Bachelors or Masters degree in Robotics, Electrical Engineering (including Electronics, Communications or Instrumentation), Mechanical Engineering, Computer Science, or a related field.
  • Strong understanding of robotics systems, kinematics, dynamics, and motion planning.
  • Experience in integrating and deploying robotic or embedded systems in real-world environments at client locations.
  • Hands-on proficiency with Python, C/C++, and ROS (Robot Operating System).
  • Excellent problem-solving skills with the ability to work independently in a fast-paced, customer-facing role.
  • Strong communication and interpersonal skills to interact effectively with clients and internal teams.
  • Willingness to travel up to 30-50% domestically and internationally.
  • A proactive attitude with a strong sense of ownership and accountability
  • Influencing and aligning cross functional teams towards specific goals

Preferred Qualifications
  • Familiarity with AI-driven perception systems and robotic manipulation.
  • Prior experience in field service, customer support, or system integration within the robotics industry.

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