Responsible for the bring-up and early validation of Wayve's AI software stack on customer hardware platforms, ensuring reliable performance across diverse SoCs and operating systems. Collaborate with Verification, Release, and OEM partner teams to integrate hardware into CI/CD, HIL, and test infrastructure while resolving hardware-specific integration issues. Requires 8+ years of experience in embedded or automotive software development, with strong proficiency in C/C++, Linux-based embedded systems, and QNX/AUTOSAR environments.
Key Highlights
8+ years of experience in embedded or automotive software development with hands-on platform bring-up experience.
Strong proficiency in C/C++, Bash, and Python, with deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders).
Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650) and familiarity with QNX and Adaptive AUTOSAR.
Key Responsibilities
Execute software bring-up on customer hardware platforms such as NVIDIA Drive and Qualcomm Ride.
Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
Integrate and validate drivers, middleware, and boot-time configurations.
Work with Verification and Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
Collaborate with OEM and Tier 1 teams to resolve hardware-specific integration issues.
Implement system-level diagnostics, logging, and secure boot configuration.
Develop automation for setup, flashing, health checks, and test execution on target hardware.
Define and execute the strategy for integrating the autonomy stack into multiple OEM platforms.
Build the team and provide technical leadership across integration work.
Technical Skills Required
C/C++
Linux Embedded Systems
QNX
Benefits & Perks
Salaries benchmarked against the market annually
Meaningful equity
Relocation support and visa sponsorship where applicable
Hybrid working with core hours
Learning and development budgets
Comprehensive benefits including health insurance, dental, and enhanced parental leave
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Nice to Have
Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.
Job Description
Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.Here’s what this particular role covers.The Application SW team sits within Application Engineering in Product & Delivery. We bridge AI innovation and production vehicles, defining and executing the strategy for integrating Wayve’s autonomy stack into multiple OEM platforms, and working directly with automotive customers, including major Japanese OEMs.
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