Software Engineer, Distributed Systems
Location: Headquarters, Remote
Department: Software
Location Type: HYBRID
Employment Type: FULL_TIME
- Design, build, and scale large, production-level Python codebases to support our AI chip design algorithms.
- Manage and optimize cloud-based distributed computing environments to ensure scalability, reliability, and efficiency.
- Lead the development and implementation of DevOps practices, including CI/CD pipelines, infrastructure automation, and container orchestration.
- Design and deploy resource management systems across distributed clusters to optimize performance and resource utilization.
- Collaborate with cross-functional teams, including AI engineers and chip designers, to deliver robust and scalable solutions.
- Expertise in Python: Proven experience in building and maintaining large-scale, production-level Python applications.
- Distributed Computing: Proficiency in managing and optimizing cloud-based distributed systems, with a focus on scalability and performance.
- DevOps Skills: Strong background in CI/CD, infrastructure automation (e.g., Terraform, Ansible), and container orchestration tools (e.g., Kubernetes, Kubernetes).
- System Design: Comfortable designing and deploying resource management systems for distributed computing environments.
- Problem Solver: Ability to think critically and solve complex problems in dynamic, fast-paced environments.
- Team Player: Excellent collaboration and communication skills to work effectively with diverse teams.
- Be at the forefront of AI-driven semiconductor innovation.
- Collaborate with a world-class team of engineers and researchers.
- Opportunity to contribute to groundbreaking technology in a high-impact role.
- Competitive compensation, equity, and benefits package.
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