R

RIVR

Multimodal delivery robotics for urban logistics

Technical Program Manager

Full-Time
No salary listed
Senior
Master's, PhD
Shanghai, China
In PersonIn-person presence at office locations is required.
Hardware EngineeringHardware Validation & Testing

About the job

Requirements
  • A Master's degree or higher in Electrical Engineering, Robotics, or Embedded Systems.
  • At least 5 years of hands-on experience in electrical system development, testing, and low-volume manufacturing.
  • Experience setting up functional benches for electronic components.
  • Ability to generate test bench test scripts and test plans.
  • Experience testing and integrating PCBAs for embedded or robotic systems.
  • Troubleshooting skills for embedded hardware and firmware.
  • Familiarity with power distribution, motor controllers, sensors, and communication protocols such as CAN, UART, SPI, and I2C.
  • Familiarity with ROS, embedded Linux, or microcontroller platforms such as STM32 and ESP32.
  • Familiarity with AI tools that improve work productivity.
  • A proven track record of working with external suppliers.
  • Experience with quality control and validation of electrical components and assemblies.
  • Adaptability and comfort with frequent iteration and evolving designs.
  • Ability to communicate and work in a dynamic team environment.
  • Fluency in Mandarin and English.
Responsibilities
  • Coordinate the supply chain for the robots' electronic components and embedded systems, including conducting technical reviews and quality assurance directly with suppliers.
  • Test and troubleshoot power electronics, digital electronics, PCBA validation, firmware, communication protocols, and robot interfaces.
  • Develop and set up functional calibration and test benches.
  • Collaborate with mechanical engineers to integrate electronics into mechanical assemblies.
  • Identify, evaluate, select, and manage suppliers for electrical components and subassemblies.
  • Work with suppliers to transfer designs and technical documentation.
  • Test and troubleshoot electronic and embedded systems.
  • Support continuous improvement across assembly, testing, and deployment.
  • Document processes, test results, and improvements to support traceability and knowledge sharing.
  • Coordinate with the Zurich research and development team and local suppliers to implement design updates.
  • Support design improvements and iteration for manufacturability.
  • Oversee small-batch production timelines and quality management with suppliers.
Desired Qualifications
  • Experience in the robotics, automotive, semiconductor, or consumer electronics sectors.
  • Experience in startups or fast-paced product development environments.
  • Experience with compliance testing, including electromagnetic compatibility and safety, for robotic or embedded products.

About the company

RIVR develops multimodal robots for last-mile delivery and urban logistics. Its main product is a wheeled-legged robot that combines wheel efficiency with leg mobility to carry tools, materials, goods, and sensors across urban distances with energy efficiency. Revenue comes from selling or leasing these robots and providing maintenance and support; the company differentiates itself with a hybrid wheeled-legged platform that outperforms traditional wheels and lightweight drones and integrates well with urban environments. Its goal is to improve the efficiency and reliability of urban last-mile delivery while reducing energy use and human labor.

Company Size

51-200

Company Stage

Seed

Total Funding

$25.5M

Headquarters

Zurich, Switzerland

Founded

2023

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Simplify's Take

What believers are saying

  • Amazon’s March 2026 acquisition gives RIVR immediate distribution, capital, and operational access.
  • CNBC reported Amazon plans field tests for doorstep delivery with RIVR robots.
  • RIVR raised $22 million in 2024 from Bezos Expeditions and Amazon Industrial Innovation Fund.

What critics are saying

  • Amazon now controls RIVR; independent strategy and upside vanish after integration.
  • RIVR’s pilots with Veho and Evri face deployment risk before scale economics prove out.
  • Competitors like Boston Dynamics and Gatik already sell logistics robots with deeper operating experience.

What makes RIVR unique

  • ETH Zurich spinout RIVR combines wheels, legs, and package manipulation in one platform.
  • Amazon acquired RIVR on March 19, 2026, validating its doorstep-delivery robotics stack.
  • RIVR’s General Physical AI targets last-mile navigation, not narrow warehouse automation.

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Benefits

  • Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

12%

1 year growth

-2%

2 year growth

-2%
RIVR
Mar 25th, 2026
Swiss-Mile Secures $22M in Seed Funding, Co-Led by Jeff Bezos and HongShan | RIVR

Today, Swiss-Mile is announcing a $22 million seed funding round led by Jeff Bezos through Bezos Expeditions and HongShan. This round also includes participation from the Amazon Industrial Innovation Fund and Armada Investment, with continued support from the existing investor Linear Capital. This distinguished investor consortium is proudly welcomed to join the journey in delivering embodied AI, poised to transform and improve millions of lives.

Breaking the News
Mar 19th, 2026
Amazon acquires Zurich robotics startup Rivr to enhance delivery with AI-powered four-legged robots

Amazon has acquired Rivr, a Zurich-based autonomous robotics startup, to enhance its delivery operations, according to the Information. The company was valued at $110 million in an August 2024 funding round. Amazon and Jeff Bezos' investment firm Bezos Expeditions participated in that funding round, with Amazon having previously invested through its Industrial Innovation Fund. Rivr's robots use AI models and combine four legs with wheels to navigate streets and deliver packages. An Amazon spokesperson said the acquisition "reflects our commitment to a continued investment in research, which we believe has the potential to further improve safety outcomes and the overall delivery experience for delivery service partners and their delivery associates.

Proaitools
May 28th, 2025
Rivr's Dog-Like Robots Join Veho Vans for Last-Mile Delivery in Austin

Rivr has secured over $25 million in funding, including investments from a round led by Jeff Bezos, valuing the company at $100 million.

StartupTicker
Apr 4th, 2025
Rivr: Four-Legged Robot Becomes Parcels Courier In The Uk

In collaboration with Evri, UK’s largest dedicated parcel delivery company, Swiss startup Rivr has launched a pilot project to deliver packages with its wheeled-legged electric robots in the UK, starting with Barnsley. During the three-month pilot, the robot will work in tandem with human staff to reduce delivery times. The launch of robotic delivery by Evri will be a UK industry first. Rivr (formerly Swiss-Mile) is pioneering General Physical AI by deploying robots in last-mile delivery, giving one human the power of 1,000 robots. By combining artificial neural networks with a wheeled-leg robot design, Rivr enhances efficiency, sustainability, and scalability in urban mobility in last-mile and last-100-yard delivery. Their mission to deploy 1M+ robots lays the foundation for the data flywheel that fuels robotic intelligence. Following its rebranding, Rivr is already making headlines aims in the logistics industry

WTWH Media LLC
Dec 3rd, 2024
Aws Offers Accelerated Robotics Simulation With Nvidia

Listen to this articleAWS and Isaac Sim can help accelerate robotics development, says NVIDIA. NVIDIA Corp. today announced at AWS re:Invent enhanced tools for robotics developers, as well as the availability of NVIDIA DGX Cloud on Amazon Web Services and offerings for artificial intelligence and quantum computing. The company said that NVIDIA Isaac Sim is now available on NVIDIA L40S graphics processing units (GPUs) in Amazon Elastic Cloud Computing (EC2) G6e instances. It said this could double scaling robotics simulation and accelerate AI model training. Isaac Sim is a reference application built on NVIDIA Omniverse for developers to simulate and test AI-driven robots in physically based virtual environments