Senior Teleoperation Robotics Software Lead

Amazon

Wilmington (MA)

On-site

USD 168,000 - 227,000

Full time

2 days ago

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Job summary

Amazon is seeking a Senior Software Development Engineer to lead teleoperation and remote assistance for robotic systems at scale. You will own the architecture across on-robot teleoperation, operator interfaces, and cloud services, guiding designs across safety, autonomy, and UX.

You will mentor engineers, drive design reviews, and partner with cloud and hardware teams to enable secure, low-latency guidance for operators; join a world-class robotics program advancing dexterous manipulation and

Qualifications

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.
Bachelor's 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

Responsibilities

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