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Wayve

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HIL Platform Scalability Engineer
Sunnyvale, California USA
product strategy

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique 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, veteran status, pregnancy or related condition  (including breastfeeding) or any other basis as protected by applicable law.  

About us   

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 back each other to deliver impact.  

Make Wayve the experience that defines your career!  

What you will bring to Wayve

You’re passionate about building robust, scalable test infrastructure that enables efficient system integration and validation at scale. .You bring a strong mix of test system knowledge, infrastructure engineering and operational experience - with a strong focus on enabling engineering teams to deliver confidently at scale. This is an exciting opportunity to be part of a cutting-edge team that directly impacts the future of autonomous driving technologies, with an end-2-end AI model core.

Essential Skills:

  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineer, Systems Engineering or a related field 
  • 2+ years of experience working with test infrastructure, e.g., HIL, or hardware/software test environments
  • Proficiency with observability/monitoring tools, e.g., Datadog, Gragana, Prometheus, etc
  • Strong scripting and automation experience using Python, Bash, or similar scripting languages
  • Proficiency with Linux or Unix based operating systems, command line tool
  • Familiarity with CI/CD pipelines, test scheduling systems, and orchestration tools
  • Excellent problem solving skills and operational thinking
  • Strong written and verbal communication skills

Desirable Skills:

  • Experience in platform operations, site reliability engineering(SRE), or scaling test infrastructure
  • Hands-on experience with configuration management tools, such as Ansible, Chef, Terraform
  • Familiarity with containerization orchestration engines(e.g., Kubernetes) and proven understanding of continuous development techniques and pipelines (CI/CD, Git)
  • Experience working with autonomous systems including robotics and/or autonomous vehicles
  • Familiarity with automotive software development requirements and standards, such as ASPICE ,ISO 26262 and ISO 21448 (SOTIF) , with automotive HIL SW and HW products e.g. from Vector and dSPACE and with automotive SW architecture such as AUTOSAR

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

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