Robotaxi Systems Engineer — Driverless Architecture Lead

Wayve

Detroit (MI)

Hybrid

USD 140,000 - 210,000

Full time

3 days ago
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Benefits offered by this job

Relocation support
Visa sponsorship
Hybrid working
Learning & development budget
Health insurance
Dental coverage
Maternity/paternity leave
Pension / retirement plan

Job summary

Wayve is building autonomous driving technology with a driver-out Robotaxi system, and you will translate the architecture into concrete requirements, interfaces and verification outputs. You’ll collaborate with OEMs, Tier 1 suppliers and operators to define boundaries, interfaces and verification plans.

This full-time, hybrid role is based in Sunnyvale, CA, involving sensors, compute, safety, offboard services and fleet integration to drive scalable, safe deployment of autonomous driving

Qualifications

  • Hands-on experience designing, integrating or deploying a Robotaxi or production-intent L4 driver-out system.
  • Ability to transform use cases into functional decomposition, requirements, interfaces and verification intent.
  • Defined system boundaries across organizations, working with OEMs, Tier 1 suppliers and operators.

Responsibilities

  • Own systems engineering for Robotaxi architecture components, translating use cases into requirements and verification-ready specs.
  • Lead technical sessions with OEMs, Tier 1 suppliers and Robotaxi operators to define boundaries and interfaces.
  • Support implementation through reviews, trade studies and impact analysis with cross-domain teams.

Skills

Robotaxi design
Systems engineering
Cross-organizational collaboration
Verification & validation

Tools

Jama MBSE/SysML
CAN
Automotive Ethernet
SOME/IP
AUTOSAR
QNX
Linux

Job description

Wayve is building autonomous driving technology with a driver-out Robotaxi system, and you will translate the architecture into concrete requirements, interfaces and verification outputs. You’ll collaborate with OEMs, Tier 1 suppliers and operators to define boundaries, interfaces and verification plans.

This full-time, hybrid role is based in Sunnyvale, CA, involving sensors, compute, safety, offboard services and fleet integration to drive scalable, safe deployment of autonomous driving

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