Job 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.

Requirements

Must-haves

Software Engineer - Distributed Systems
Location: Remote/Hybrid/Onsite (flexible)
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.
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonci/cdkubernetes

Platform: gem
Effort: medium