Software Engineer, Distributed Systems

Reposted 5 Days Ago
Hiring Remotely in Headquarters, AZ, USA
Remote or Hybrid
Mid level
Artificial Intelligence • Software • Semiconductor
The Role
Responsible for designing, building, and scaling Python codebases, managing cloud-based distributed systems, and implementing DevOps practices to enhance AI-driven semiconductor technologies.
Summary Generated by Built In
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.

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The Company
HQ: Palo Alto, California
13 Employees
Year Founded: 2024

What We Do

We produce AI-designed analog chips. Our AI-based designs are faster and more optimized, enabling us to produce custom chips at scale. This means that customers can get the chip they want, not just what's on offer. We are a team of chip designers and AI engineers, who are bringing our skills together to transform electronics.

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