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Engineering Manager, GPU Kernel

Wayve is a leader in Embodied AI technology, seeking an Engineering Manager for the GPU Kernel team to lead the deployment of AI models in autonomous vehicles.

Skills

  • Engineering project management
  • GPU kernel development
  • System optimization

Responsibilities

  • Lead a team of ML GPU kernel engineers for deployment across millions of customer vehicles.
  • Set foundational strategies on deployment frameworks and tools.
  • Allocate resources efficiently and develop new skills in ML and optimization.

Education

  • Degree in Computer Science or related field

Benefits

  • Hybrid working policy
  • Dynamic team collaboration
  • Professional development opportunities
To read the complete job description, please click on the ‘Apply’ button
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Average salary estimate

$155000 / YEARLY (est.)
min
max
$130000K
$180000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Engineering Manager, GPU Kernel, Wayve

Join the incredible team at Wayve as an Engineering Manager for our GPU Kernel team, based in Sunnyvale, California! Here at Wayve, we're all about pushing the boundaries of Embodied AI technology. We believe in a culture that is not only diverse and inclusive but also one that celebrates individual contributions. As the Engineering Manager, you'll lead a multi-disciplinary group of talented ML GPU kernel engineers who are at the forefront of creating custom kernels and libraries that allow our advanced AI models to excel on embedded GPUs. You're not just leading a team; you're enabling a vision that transforms autonomous driving, ensuring our technology runs smoothly across millions of customer vehicles. Every day will bring new challenges as you collaborate closely with ML engineers, software engineers, and researchers to deploy cutting-edge AI solutions at scale. We focus on setting key strategies for deployment frameworks and resource management while honing your skills in end-to-end ML and optimization processes. At Wayve, we value curiosity, continuous learning, and the drive to solve complex problems. If you’re passionate about revolutionizing the future of driving, this is the perfect opportunity for you to make an impact. Embrace the challenge, foster innovation, and let's shape a smarter, safer world together!

Frequently Asked Questions (FAQs) for Engineering Manager, GPU Kernel Role at Wayve
What are the responsibilities of the Engineering Manager at Wayve?

As the Engineering Manager for the GPU Kernel team at Wayve, you will lead a talented group of ML GPU kernel engineers, focusing on writing custom kernels and libraries for efficient model deployment on embedded GPUs. You'll set strategies on deployment frameworks, allocate resources effectively, and prioritize objectives to ensure high-impact project delivery.

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What qualifications are necessary for the Engineering Manager position at Wayve?

To qualify for the Engineering Manager role at Wayve, candidates should have proven experience in managing engineering projects, specifically in GPU kernel development and ML compilers such as CUDA and OpenCL. Strong interpersonal and communication skills, as well as experience with system optimization in strict utilization and latency requirements, are essential.

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What is the work environment like for the Engineering Manager at Wayve?

At Wayve, the Engineering Manager will enjoy a hybrid work model, combining time in our Sunnyvale office with remote work. This model supports teamwork and innovation, allowing flexibility while ensuring that team dynamics and learning remain strong in a collaborative environment.

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How does Wayve support career growth for the Engineering Manager position?

Wayve is committed to career development and offers opportunities for the Engineering Manager to develop new skills, especially in areas like end-to-end ML and inference optimization. The organization fosters a culture of continuous learning and encourages members to embrace complex challenges.

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What makes Wayve a unique company to work for as an Engineering Manager?

Wayve stands out in the tech industry due to its commitment to innovation in the field of autonomous driving and Embodied AI technology. The collaborative atmosphere, emphasis on diverse perspectives, and the opportunity to work on groundbreaking projects make it an exciting place for an Engineering Manager to thrive and make a significant impact.

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Common Interview Questions for Engineering Manager, GPU Kernel
Can you describe your experience leading engineering teams, especially in a technical role like Engineering Manager?

To effectively answer this question, highlight your leadership style, your approach to team management, and specific examples of projects you've led. Discuss how you motivate and guide your team, emphasizing collaboration and support for their professional growth.

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What techniques do you use to optimize GPU kernels?

When discussing optimization techniques, focus on your familiarity with libraries like CUDA, OpenCL, and tools for profiling and benchmarking GPU performance. Mention strategies you've implemented to balance utilization and latency, providing specific examples if possible.

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How do you prioritize tasks within your engineering team?

Effective prioritization is crucial in engineering management. Share your methods for assessing project importance and urgency, think about how to balance short-term and long-term objectives, and reinforce the idea of continuous communication with your team to align priorities.

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How do you handle conflicts among team members?

Addressing this question requires demonstrating emotional intelligence and conflict resolution skills. Discuss your approach to facilitate open dialogue, understanding different viewpoints, and collaborating on solutions that benefit the team and project goals.

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What do you believe is the future of ML in automotive environments?

Provide insights based on your understanding of current trends in ML for automotive technology. Discuss advancements in AI, predictions around autonomous systems, and how you envision contributing to this future through the Engineering Manager role at Wayve.

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Can you share an example of a successful project you managed from start to finish?

Use the STAR method (Situation, Task, Action, Result) to give a structured response. Detail the project's context, your responsibilities, the actions you took, and the outcomes, highlighting what was learned and how it could apply to the role at Wayve.

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What is your experience with ML compilers and frameworks?

Discuss your proficiency with frameworks like PyTorch, TensorRT, or TVM, and share specific examples of how you've used them in previous projects. Highlight any unique contributions you've made to optimize ML compiler performance.

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How do you stay updated on industry trends and innovations in technology?

Mention specific sources of information, such as industry publications, professional networks, or conferences. Emphasize your commitment to continuous professional development and how you share these insights with your team.

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What strategies do you implement to foster diversity within your team?

Talk about the importance of diversity in fostering innovation and creativity. Share initiatives you have previously implemented or would like to implement to support diversity and inclusion within your engineering team.

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Why are you interested in the Engineering Manager position at Wayve?

This question allows you to showcase your passion for AI and autonomous driving technology. Connect your values, skills, and professional experiences back to Wayve's mission and how you envision contributing to the company's goals.

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FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$130,000/yr - $180,000/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 2, 2025

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