Engineering Manager, App SW - Embedded

Overview

Join Wayves Application Software team to lead the US front for bringing our autonomous driving AI stack to customer hardware. You will hire and mentor engineers, lead platform bring-up on devices like NVIDIA DRIVE and Qualcomm Ride, and drive early validation and integration with OEM/Tier-1 partners. You’ll shape Linux/QNX/Adaptive AUTOSAR configurations, CI/CD, and test infrastructure to deliver reliable automotive software. This is your chance to influence how Wayves AI runs on real vehicles at scale.

Pay / Benefits

• Salaries benchmarked against the market
• Meaningful equity
• Relocation support and visa sponsorship
• Hybrid working with core hours
• Learning and development budgets
• Comprehensive benefits: health, dental, enhanced parental leave, retirement, wellbeing support

Responsibilities

• Build and guide a US-based engineering team, including hiring and mentoring
• Lead software bring-up on customer hardware platforms (NVIDIA DRIVE, Qualcomm Ride) and configure Linux, QNX, and Adaptive AUTOSAR
• Validate drivers, middleware, and boot-time configurations in collaboration with OEM/Tier-1 partners
• Integrate hardware into CI/CD, hardware-in-the-loop, and test infrastructure; automate setup, flashing, and health checks
• Ensure reliable AI software stack operation from initial bring-up to early validation on target hardware

Key requirements

• 8+ years in embedded or automotive software development with platform bring-up experience
• Proven leadership of high-performing engineering teams, including distributed settings
• Deep knowledge of embedded Linux (Yocto, systemd, bootloaders, device trees) and familiarity with QNX/Adaptive AUTOSAR
• Experience bringing up automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI) and debugging hardware interfaces (CAN, Ethernet, PCIe, SPI, I2C)
• Experience integrating embedded platforms into CI/CD and test automation
• cross-functional collaboration
• vision and clarity in technical leadership
• problem-solving under complex hardware constraints
• embedded Linux including Yocto, systemd, bootloaders, device trees
• QNX and Adaptive AUTOSAR configurations on target hardware
• C/C++, Bash, Python

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