Software Engineer, Distributed Systems
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Before you apply
LocationHeadquarters, Remote, Menlo Park, United States
Work modehybrid
Typefull-time
DepartmentSoftware
EquityIncluded
Company size3+ people
PostedJan 8, 2025 · 1y ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Jan 8, 2025
At a glanceSummarised by Seekless from the posting.
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)
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
Skills
Python
Terraform
Ansible
Kubernetes
CI/CD
Benefits
Equity
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.
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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.
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Opportunity to contribute to groundbreaking technology in a high-impact role.
•
Competitive compensation, equity, and benefits package.
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