Senior Compute Platform Engineer

About Stack

Stack is developing revolutionary AI and advanced autonomous systems designed to enhance the safety, reliability, and efficiency of modern operations. Our autonomous technology integrates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies to create innovative solutions for the dynamic trucking transportation industry. With decades of experience deploying real-world systems in demanding environments, the Stack team is dedicated to building an autonomous solution ecosystem tailored to the trucking industry's unique requirements.

About the Role

The Compute Platform team is responsible for designing and operating the systems that orchestrate and scale batch and distributed workloads across our environments. You will work at the intersection of infrastructure, distributed systems, and developer experience, ensuring that complex workloads are reliable, efficient, and easy to run.

As a Senior Compute Platform Engineer, you will design and operate high-scale batch compute systems and workflow orchestration systems that power engineers across the company.

Responsibilities

• Design and operate distributed systems for scheduling and executing large-scale batch workloads across Kubernetes clusters.
• Build and maintain compute platform abstractions.
• Optimize utilization of compute resources.
• Develop and improve multi-tenant scheduling strategies.
• Improve reliability and fault tolerance of large-scale distributed jobs and platform components.
• Collaborate with teams across the company to understand workload requirements and improve platform capabilities.
• Contribute to platform tooling, automation, and CI/CD workflows.

Qualifications

• 7+ years of experience building and operating distributed systems or infrastructure platforms.
• Strong experience with Kubernetes and container orchestration in production-grade environments.
• Proficiency developing in Golang and Python.
• Experience designing and operating large-scale batch compute systems.
• Strong debugging and problem-solving skills in complex distributed systems.
• Ability to collaborate across teams and communicate technical concepts clearly.
• Experience with at least one batch scheduling system such as Kueue, Armada, Volcano, or Slurm.

Diversity & Inclusion

We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.

Important Note on National Security Regulations

Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements. These may restrict Stack AV’s ability to employ certain persons in certain positions. This position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. It may also involve working with technologies subject to U.S. export control regulations, potentially requiring a U.S. government export license. Stack AV reserves the right to consider candidates for different positions or decline to move forward based on these national security-related restrictions.