Wayve
Engineering Manager, App SW - Embedded
Detroit; Sunnyvale · Full-time
Sponsorship not specified$253k-$298kDetected 53 days ago
C++BashGitDockerCI/CDJenkinsLinuxEmbedded SystemsTest AutomationCommunicationMentoring
About the role
- This is a unique opportunity to shape our AV capabilities in the US from the ground up.
Responsibilities
- Lead software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
- Build and lead an engineering team in the US, hiring and mentoring top talent.
- Validate integration of drivers, middleware, and boot-time configurations.
- Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
- Partner with OEM and Tier 1 teams to resolve hardware-specific integration issues.
- Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings.
- Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
Requirements
- 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
- Strong proficiency in C/C++, Bash, and Python.
- Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
Compensation
- This role is a full-time role based in Detroit or Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $252,500 to $298,200, plus a competitive equity package.
Benefits
- Automate setup, flashing, health checks, and test execution on target hardware.
Company info
- Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
- Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
- In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
- At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment
- We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
- Make Wayve the experience that defines your career!
- We're seeking an exceptional technical leader to build and lead our US Application Engineering team, a high-impact group driving localisation and advancement of Wayve's autonomous driving technology for the US market.
- As one of the key managers, you'll lead the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems.
- Founded in 2017, Wayve is the leading developer of Embodied AI technology.
- Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
- Our vision is to create autonomy that propels the world forward.
- Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
- In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions.
Visa & Work Authorization
- e skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, vet
This listing is sourced directly from Wayve's careers page and normalized into a canonical job model.