sphere-semi
Software Engineer, Distributed Systems
- Compensation
- Not disclosed
- Location
- Menlo Park, USA
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- 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.
Full description
Sphere Semi JOB DESCRIPTION Software Engineer - Distributed Systems
Location: Remote/Hybrid/Onsite (flexible)
About Us:
Sphere Semi is pioneering a new era in semiconductor design by combining the power of AI with human ingenuity. Our proprietary AI-driven chip design algorithm enables customized and optimized designs at scale, pushing the boundaries of what’s possible in semiconductor technology.
As we continue to grow, we’re looking for a Software Engineer, Distributed Systems, to join our team and play a pivotal role in building the infrastructure that supports our revolutionary AI-driven platform.
What You’ll Do:
- 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.
What We’re Looking For:
- 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.
Why Join Us?
- 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.