Head of QA

Amazon RIVR; Zürich; Vor Ort; CHF 150.000 - 240.000; Vollzeit

Zusammenfassung

Amazon RIVR in Zürich seeks a Head of QA to build a System-wide Quality Assurance and Verification department from the ground up. You will unify Hardware, Software, and AI, and establish scalable workflows that validate all changes before deployment to fleets.

You will partner with Software and Hardware Engineering to embed quality early, scale HiL/SiL automation, and define KPIs for reliability and safety at fleet scale, up to two million robots.

Qualifikationen

• 10+ years leading QA or Validation teams in high-growth settings.
• Proven experience leading QA in robotics, autonomous systems, or safety-critical domains.
• Track record building scalable QA for hardware and software products.
• Deep knowledge of SiL/HiL and real-world testing methodologies.
• Strong mechatronic and systems mindset bridging hardware, firmware, and AI/ML autonomy.
• Hands-on with automation testing, testing infrastructure, and CI pipelines.

Aufgaben

• Build and lead end-to-end QA across System, Autonomy, Hardware, and Operations.
• Define scalable quality strategy for robotics fleets inspired by AVs and robotics best practices.
• Establish unified validation workflow to centralize and automate testing.
• Partner with Software and Hardware Engineering to embed quality early in development.
• Architect and scale HiL farms for automated testing of complex variables.
• Develop SiL/HiL and real-world automated testing frameworks.
• Own safety governance and fast-track field safety fixes.
• Define quality KPIs, release criteria, and reliability targets.
• Oversee field quality, feedback loops, and fleet performance monitoring.
• Drive root-cause analysis and continuous improvement across hardware and software.
• Scale QA infrastructure and team processes toward mass production (up to 2M robots).

Kenntnisse

Leadership

QA leadership

Robotics expertise

Systems engineering mindset

Automation experience

Cross-functional collaboration

Safety compliance knowledge

Ausbildung

Advanced degree (MSc/PhD) in engineering

Tools

dSPACE

Automation frameworks

Regression pipelines

Jobbeschreibung

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

We are looking for a Head of QA to build our Quality Assurance and Verification department from the ground up. In this role, you will break down existing departmental silos (Hardware, Software, and AI) to establish a unified, company-wide System-level Quality Gate. Inspired by best practices from autonomous vehicles and robotics, this role will establish a scalable quality workflow that validates all hardware and software changes before they reach deployed fleets. Operating in parallel to Software and Hardware Engineering, the Head of QA will work closely with developers to embed quality early in the development lifecycle, balancing rigorous validation with rapid product iteration. Over time, the organization will expand automation capabilities across software-in-the-loop, hardware-in-the-loop, and real-world operational testing to ensure reliability, safety, and performance at fleet scale.

What You’ll Be Doing

• Build and lead Amazon RIVR’s end-to-end QA organization across the full System, Autonomy, Hardware, and Operations from "A to Z".
• Define and implement a scalable quality strategy for robotics fleets inspired by autonomous vehicles and robotics best practices.
• Establish a unified validation workflow to break down silos and transition from engineer-led testing to a centralized, automated pipeline.
• Partner closely with Software and Hardware Engineering to embed quality early in the development lifecycle, acting as a technical partner rather than a corporate gatekeeper.
• Architect and scale a Hardware-in-the-Loop (HiL) farm to automate the testing of complex mechatronic variables.
• Develop automated testing frameworks across Software-in-the-Loop (SiL), Hardware-in-the-Loop (HiL), and real-world testing.
• Take ownership of safety governance and establish high-velocity pipelines (e.g., 14-day fixes) for critical field safety reports.
• Define quality KPIs, release criteria, and reliability targets at robot and fleet scale.
• Oversee field quality, maintenance feedback loops, and operational performance monitoring.
• Drive root-cause analysis and continuous improvement across hardware and software failures.
• Scale QA infrastructure, tooling, and team processes to support the target of manufacturing up to two million robots.

What You Must Have

• Pioneer Leadership experience: 10+ years leading QA or Validation teams with a proven track record of building departments in high-growth environments.
• Proven experience leading QA or Validation teams in robotics, autonomous vehicles, automotive, or other safety-critical systems.
• Track record of building scalable quality processes for both hardware and software products.
• Deep understanding of validation methodologies across SiL, HiL, and real-world testing.
• Strong mechatronic and systems engineering mindset with the ability to bridge Hardware, Firmware, and AI/ML Autonomy.
• Hands‑on mastery of automation frameworks, test infrastructure (e.g., dSPACE), and regression pipelines.
• Ability to work cross‑functionally with Software, Hardware, and Product teams in fast iteration cycles.
• Experience with safety, compliance (e.g., UL2, ISO 26262), and field reliability feedback loops.
• Comfortable operating in high-growth startup environments with evolving processes and products.

Get some bonus points

• Experience in autonomous driving, mobile robotics, or last‑mile delivery robots.
• Advanced degree (MSc/PhD) from top‑tier engineering institutions.
• Experience validating AI/ML or Vision‑Language‑Action (VLA) autonomy systems.
• Background in simulation environments and large‑scale scenario testing.
• Experience scaling QA organizations from R&D prototypes to high‑volume mass deployment.
• Knowledge of regulatory certification processes for robots operating in public spaces.
• Familiarity with MLOps pipelines and continuous integration for robotics.

Amazon RIVR is committed to building a diverse and inclusive team that values every perspective. If you’re passionate about driving innovation in robotics and creating meaningful impact, we encourage you to apply and bring your unique self to our team.

We believe the best work is done when collaborating and therefore require in‑person presence in our office locations.