Rust Jobs for Rustaceans

About the Role
We are seeking an experienced engineering leader to take ownership of a high-impact team building infrastructure for AI systems using Rust and modern cloud-native technologies.
 
In this role, you will lead the development of scalable platforms to support the full lifecycle of AI and machine learning models, from training and orchestration to deployment and monitoring. You will manage a senior engineering team and collaborate closely with researchers, data scientists, and infrastructure stakeholders to deliver robust, enterprise-grade solutions.
 
This is a leadership position in a highly technical, fast-moving environment. Ideal for someone who thrives at the intersection of systems programming, distributed infrastructure, and AI enablement.
 
Key Responsibilities:

• Lead a senior engineering team focused on AI platform development using Rust and modern cloud tooling
• Architect and deliver scalable systems for AI model training, inference, and lifecycle management
• Build and maintain secure, compliant cloud-native infrastructure across AWS, GCP, and Azure
• Develop internal APIs and platform abstractions for cross-functional ML teams
• Implement CI/CD pipelines, monitoring, and automation for highly available AI systems
• Collaborate with research and data science teams to bring experimental models into production
• Guide platform direction in areas like GPU orchestration, distributed systems, and MLOps

 
Requirements:

• 10+ years in software or platform engineering, with a track record of technical leadership
• Strong programming expertise in Rust
• Deep experience with Kubernetes, including Helm, CRDs, and container runtimes
• Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation
• Hands-on experience with cloud platforms (AWS, Azure, or GCP)
• Knowledge of production-grade ML frameworks such as PyTorch, JAX, or NumPy
• Strong foundation in distributed systems, cloud security, and networked application design
• Experience managing CI/CD pipelines and cloud-native operations at scale

Preferred Qualifications:

• Experience with GPU orchestration and high-performance computing environments
• Background in building SDKs, APIs, or internal developer platforms
• Familiarity with distributed data processing tools such as Spark or Dask
• Knowledge of event-driven architectures and technologies like Kafka
• Exposure to MLOps tools and concepts

Compensation and Benefits:

• Base salary of $240,000 to $275,000
• Bonus opportunity up to 80% of base salary, based on performance
• Comprehensive benefits including healthcare, retirement plans, generous time off, and hybrid working flexibility

This is a rare opportunity to drive platform strategy and hands-on development within a deeply technical and forward-thinking team. If you are passionate about Rust, AI systems, and scalable
infrastructure, we would like to hear from you.