Platform Engineer

Zeromatter Technologies Inc; Mountain View (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Zeromatter is seeking a Platform Engineer in Mountain View to build and scale cloud infrastructure powering our simulation platform for robotics clients. You will architect multi-cloud systems, optimize GPU-rendering workloads, and ensure reliability across AWS, GCP, and possibly Azure.

Join a fast-moving team, implement IaC, Kubernetes scheduling, security best practices, and disaster recovery while collaborating with engineering and enterprise customers to meet infrastructure requirements.

Qualifications

• Engineering degree in a related field or equivalent experience.
• Hands-on Kubernetes in production multi-cloud environments.
• Helm proficiency for Kubernetes deployment orchestration.
• Experience with AWS, GCP, and Azure.
• Infrastructure as code expertise.
• Programming in Rust, Go, C++, or Python.
• Experience architecting distributed systems at scale.
• Knowledge of Docker/Containerd.
• Understanding cloud networking, security, and compliance.
• GPU orchestration and HPC workloads experience.
• Linux system administration and performance tuning.
• Nice-to-have: simulation or rendering infra.
• Nice-to-have: robotics/autonomous platforms background.

Responsibilities

• Architect multi-cloud strategies across AWS and GCP.
• Design orchestration for thousands of concurrent simulations on Kubernetes.
• Build IaC for reproducible deployments.
• Optimize GPU rendering and compute resource allocation.
• Implement auto-scaling for dynamic workloads.
• Create multi-region deployment architectures for availability.
• Develop monitoring and alerting for platform health.
• Plan disaster recovery and business continuity.
• Interface with enterprise customers to meet infra requirements.
• Ensure security practices and compliance across clouds.
• Collaborate with engineering to optimize platform architecture.

Skills

Kubernetes production

Multi-cloud

Infrastructure as code

Programming languages

Distributed systems

Cloud networking/security

GPU orchestration

Linux administration

Simulation/rendering infra

Robotics platform Ops

Education

Engineering degree in related field

Tools

Helm

Docker

Containerd

Job description

As a Platform Engineer at Zeromatter, you'll build and scale the cloud infrastructure that powers our revolutionary simulation platform across the world's leading robotics companies. You'll orchestrate massive computational resources across multiple cloud providers, ensuring our platform delivers photorealistic simulations with uncompromising reliability and performance. This role offers the rare opportunity to architect infrastructure at the bleeding edge of what's possible, enabling autonomous systems to be developed, tested, and validated in virtual worlds indistinguishable from reality.

Responsibilities

• Architect multi-cloud infrastructure strategies across AWS and GCP for optimal performance and cost.

• Design and implement scheduling and orchestration for managing thousands of concurrent simulations workloads on Kubernetes.

• Build infrastructure as code solutions to ensure reproducible and scalable deployments.

• Optimize cloud resource allocation for GPU-intensive rendering and compute workloads.

• Implement auto-scaling strategies that respond to dynamic simulation demands.

• Create multi-region deployment architectures for high platform availability.

• Build comprehensive monitoring and alerting systems for platform health and performance.

• Develop disaster recovery and business continuity strategies for mission-critical simulations.

• Interface directly with enterprise customers to ensure platform meets their infrastructure requirements.

• Implement security best practices and compliance frameworks across all cloud environments.

• Collaborate with engineering teams to optimize platform architecture for their specific needs.

Qualifications

• Engineering degree in a related field (e.g. computer science, cloud architecture) or equivalent working experience.

• Extensive hands-on experience with Kubernetes in production multi-cloud environments.

• Proficiency with Helm for Kubernetes package management and deployment orchestration.

• Deep expertise with at least two major cloud providers (AWS, GCP, Azure).

• Strong proficiency in infrastructure as code.

• Solid programming skills in languages like Rust, Go, C++, and Python.

• Experience architecting and operating distributed systems at scale.

• Advanced knowledge of containerization technologies (Docker, Containerd).

• Strong understanding of cloud networking, security, and compliance requirements.

• Experience with GPU orchestration and high-performance computing workloads.

• Linux systems administration and performance tuning expertise.

• Bonus: Experience with simulation or rendering infrastructure.

• Bonus: Background in operating platforms for autonomous systems or robotics.