Staff AI Infrastructure Site Reliability Engineer

Company: Tbwa Chiat/Day Inc
Location: Santa Clara
Posted on: March 29, 2025

Job Description:

Staff AI Infrastructure Site Reliability EngineerXPeng Motors is one of China's leading smart electric vehicle (EV) companies. We design, develop, and manufacture smart EVs that are seamlessly integrated with advanced Internet, AI and autonomous driving technologies. We are committed to in-house R&D and intelligent manufacturing to create a better mobility experience for our customers. We strive to transform smart electric vehicles with technology and data, shaping the mobility experience of the future.As a Staff AI Infrastructure SRE, you will be instrumental in leading the design and implementation of robust, cloud-native AI infrastructure solutions that support our autonomous driving initiatives. Your expertise will guide the development of systems capable of handling large-scale, real-time data processing and advanced machine learning models.Job Responsibilities:

• Architect and lead the development of scalable, secure AI infrastructure on cloud-native platforms to support autonomous driving technologies.
• Collaborate closely with ML teams to facilitate seamless integration and optimal performance of AI algorithms.
• Identify and address system bottlenecks and instabilities, applying innovative solutions to enhance system reliability and efficiency.
• Foster technological advancements through research and implementation of state-of-the-art AI tools and methodologies.
• Act as a key technical leader and mentor, promoting a culture of technical excellence and collaborative innovation within the AI infrastructure team.Minimum Skill Requirements:
  • Bachelor's or Master's in Computer Science, Engineering, or related technical field.
  • 5+ years of experience in designing, deploying, and managing GPU clusters for high-performance computing in AI applications, particularly within cloud environments.
  • Proficient in cloud services (AWS, Azure, ALI Cloud) and building containerized applications using Kubernetes and Docker.
  • Strong programming skills in Python, Golang, and experience with AI/ML frameworks (TensorFlow, PyTorch).Preferred Skill Requirements:
    • Expertise in designing and managing high-availability, high-throughput systems that support machine learning and deep learning workloads.
    • Demonstrable leadership skills with a track record of mentoring and leading technical teams.
    • In-depth understanding of data structures, algorithms, and software engineering principles relevant to AI and autonomous systems.What do we provide:
      • A fun, supportive and engaging environment.
      • Opportunity to make significant impact on transportation revolution by advancing autonomous driving.
      • Opportunity to work on cutting-edge technologies with the top talent in the field.
      • Competitive compensation package.
      • Snacks, lunches, and fun activities.The base salary range for this full-time position is $215,280-$364,320, in addition to bonus, equity, and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status, marital status, or any other prescribed category set forth in federal or state regulations.
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Keywords: Tbwa Chiat/Day Inc, Santa Clara , Staff AI Infrastructure Site Reliability Engineer, Professions , Santa Clara, California