Amazon RIVR
robotics
RoboticsPlatformJetsonIntegrationEngineer
Neural analysis suggests this role is
optimal for Entry candidates.
“Robotics Platform Jetson Integration Engineer at Amazon RIVR. Skills: NVIDIA Jetson platform integration, heterogeneous computing, RL policy and neural network optimization, embedded systems performance, complex integration challenges. RIVR’s transition to the NVIDIA Jetson platform as our primary embedded computing stack. defining the foundational software layers of our robotic systems”
What You'll Achieve.
reduce system complexity; accelerate the development cycle; ensure reliable, real-world deployment; ensure optimal utilization of unified memory to minimize data transfer overhead; low-latency execution; deterministic performance in highly dynamic environments; predictable performance of the entire SW stack; seamlessly scale while maintaining performance
Industry & Context.
solving complex integration challenges; diagnose and solve problems when deployed software/RL policy execution fails on the embedded hardware; Identify the sources of issues, propose and implement mitigation strategies
in-person presence in our office locations
What They're Looking For.
Must Have
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or Robotics, At least one full year of hands-on experience managing resource allocation and prioritization between CPU and GPU workloads, Ability to understand large C++ and python codebases used in robotics, Demonstrated experience successfully running and deploying complex software and RL policies onto embedded Linux systems (Jetson/edge computing), ability to diagnose and solve problems when deployed software/RL policy execution fails on the embedded hardware
Nice to Have
Proven ability to debug complex software running on embedded hardware (specifically Jetson), Deep understanding of Linux kernel internals (specifically scheduling and memory management) as they relate to high-performance embedded systems, Experience with NVIDIA DeepStream or Isaac ROS for hardware-accelerated perception pipelines, Practical experience with model optimization techniques (e. g. , precision calibration, layer fusion) to maximize hardware-accelerated throughput, Experience implementing Continuous Integration/Continuous Deployment (CI/CD) practices for embedded systems
What You'll Do.
RIVR’s transition to the NVIDIA Jetson platform as our primary embedded computing stack
defining the foundational software layers of our robotic systems
bridging high-level robotics code with low-level hardware communication
solving complex integration challenges to reduce system complexity
accelerate the development cycle
real-world deployment of our core Physical AI and Reinforcement Learning (RL) policies
making our software run reliably and performant on the NVIDIA Jetson
Architect and implement heterogeneous computing strategies to balance workloads across the Jetson’s CPU
ensuring optimal utilization of unified memory to minimize data transfer overhead
Lead the deployment and optimization pipeline for RL policies and neural networks
focusing on low-latency execution and deterministic performance in highly dynamic environments
Use profiling tools to characterize the system and manage the NVIDIA Jetson resources to ensure predictable performance of the entire SW stack
Identify the sources of issues
propose and implement mitigation strategies
Inform architectural solutions that allow the platform to seamlessly scale while maintaining performance
How You'll Work.
Team & Collaboration
driving innovation in robotics; creating meaningful impact; collaborating
Process & Methodology
Experience implementing Continuous Integration/Continuous Deployment (CI/CD) practices for embedded systems
Full Job Description
## Description Amazon RIVR is a robotics company pioneering Physical AI through real-world doorstep delivery. Founded in 2024 as an ETH Zurich spin-off, RIVR developed wheeled-legged robots designed to operate in complex, unstructured environments such as stairs, gates, doors, and uneven urban terrain. We believe that achieving general physical intelligence requires solving real customer problems in the real world, where robots can learn from rich operational data at scale. Following our acquisition by Amazon in March 2026, we are continuing this mission with greater reach and speed. By combining custom robot hardware, onboard autonomy, and cloud-based coordination, Amazon RIVR is building the next generation of safe, reliable autonomous robots for last-mile delivery Job Description As the Robotics Platform & Integration Engineer, you will be responsible for RIVR’s transition to the NVIDIA Jetson platform as our primary embedded computing stack. This is a high-impact role that combines software architecture, deep integration engineering, and performance optimization. You will be crucial in defining the foundational software layers of our robotic systems, responsible for bridging high-level robotics code with low-level hardware communication. This role demands an architect who is focused on solving complex integration challenges to reduce system complexity, accelerate the development cycle, and ensure reliable, real-world deployment of our core Physical AI and Reinforcement Learning (RL) policies. ## What you’ll be doing As a Robotics Platform Engineer you are responsible for making our software run reliably and performant on the NVIDIA Jetson. Architect and implement heterogeneous computing strategies to balance workloads across the Jetson’s CPU, GPU, and DLA, ensuring optimal utilization of unified memory to minimize data transfer overhead. Lead the deployment and optimization pipeline for RL policies and neural networks, focusing on low-latency execution and deter
Applying for this Robotics Platform Jetson Integration Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Lever
- Lever uses a streamlined one-page form — apply in under 5 minutes.
- LinkedIn import works well; review parsed data before submitting.
- The cover letter field is optional but visible to reviewers — use it to differentiate.
- Referral codes from employees can significantly boost visibility of your application.
ANONYMOUS · UNFILTERED
What do employees actually say about Amazon RIVR?
Real rants from real employees. Read before you apply.