> Markdown version of [/jobs/ext/4706096-senior-software-development-engineer-teleoperation](https://www.wearedevelopers.com/jobs/ext/4706096-senior-software-development-engineer-teleoperation). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Software Development Engineer, Teleoperation

- **Company:** Amazon.com, Inc.
- **Location:** North Reading, MA, United States
- **Experience:** Expert
- **Salary:** $168,100 - $227,400
- **Contract:** Internship / Graduate position
- **Skills:** Cellular Networks, Computer Programming, Network Congestion, Software Design Patterns, Middleware, Emulators, Local Area Networks, Remote Access Technology, Windows Remote Assistance, Cloud Services, Session Management, Software Engineering, Strategies of Testing, Video Encoding, WebRTC, Wi-Fi Technology, Cloud Platform System, AI Coding Agents, Information Technology, Data Pipelines, Programming Languages
- **Published:** November 13, 2026
- **Apply:** https://dejobs.org/x/x/E6EEA7EFF7594F5D9E0A3AEC7E120F58/job/

## About the Role

* 5+ years of non-internship professional software development experience
 * 5+ years of programming with at least one software programming language experience
 * 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
 * Experience as a mentor, tech lead or leading an engineering team
 * Bachelors or Master's degree, or 10+ years in CS, ME, EE or related field experience
 * Experience designing and shipping software for remotely operating or assisting robots or other machines in real time, such as teleoperation, remote assistance, or operator tools, * Master's degree or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
 * Experience leading teleoperation, remote operation, or remote assistance systems for robots or autonomous vehicles in production
 * Experience designing and shipping software for physical robots, autonomous vehicles, or other real-time embedded systems
 * Experience with low-latency video and real-time communication over wide-area and cellular networks (e.g., WebRTC, QUIC, relay servers, congestion control, adaptive bitrate, hardware video encoding)
 * Experience designing robot control that tolerates communication delay, such as shared autonomy, supervisory control, predictive displays, or latency compensation
 * Experience with VR or XR operator interfaces (e.g., OpenXR, Unity), haptic feedback, or retargeting human motion to robot arms and hands Experience integrating with robot safety systems and designing fail-safe behavior, such as watchdogs, safe stops, and link-loss handling Experience integrating robots or connected devices with cloud services for remote access, such as video relays or session management
 * Experience with robotics middleware like ROS 2, DDS, LCM, or Zenoh
 * Experience building data pipelines for robot learning from demonstrations and interventions (e.g. imitation learning)
 * Experience using AI coding assistants and agents to speed up development, with sound judgment about reviewing and verifying their output
 * Excellent written and verbal communication, with a track record of leading technical work across science and engineering teams

## Description

* Own the teleoperation architecture, from the robot to the operator station to the cloud, and lead the engineers building it
 * Take teleoperation from the local network to remote operators over the internet, Wi-Fi, and cellular networks we don't control, where latency is high and hard to predict
 * Work out with the teams how operators and autonomy share control, and keep the robot safe when the link fails
 * Work with applied scientists on what operators see and control, from high-level guidance like pointing at an object to direct control
 * Partner with our cloud platform team so operators anywhere can securely connect to robots that need help, and each request reaches an available operator
 * Set the test strategy for teleoperation, so latency and reliability are checked with network emulation, simulation, and hardware-in-the-loop tests before anything reaches a deployed robot
 * Work directly with operators to find what slows them down, and measure operator efficiency, such as robots per operator and time to resolve a request
 * Mentor engineers, lead design reviews, and drive build-versus-buy evaluations