Jobs at Altara

Architects and operates scalable customer-hosted cloud and on-premises deployments. Owns high-severity incident resolution, develops automated deployment pipelines and safeguards, builds observability systems, and creates internal tooling to improve developer velocity, reliability, and security. The role requires production Kubernetes and cloud infrastructure experience, strong Linux, networking, and infrastructure-as-code fundamentals, customer communication, and familiarity with AWS, Terraform, GitOps, IAM, and observability tools.

Work directly with scientists to understand workflows, identify valuable use cases, drive customer pilots, configure and troubleshoot the AI platform, build lightweight solutions, train users, and convert customer feedback into reusable product capabilities. The role requires technical problem-solving, scientific fluency, strong customer engagement, teaching ability, independent execution, and comfort operating in an ambiguous startup environment.

Unsolicited/open application for a startup building an AI-driven scientific intelligence platform for physical sciences. Company seeks exceptional candidates across roles to accelerate R&D in semiconductors, batteries, materials, aerospace, and related fields; invites interested people to apply even without a specific posted role.

Translate AI research into production systems for scientific R&D: build evals/benchmarks, design data ingestion and representation for messy multimodal scientific data, implement LLM-based and other agentic systems, and provide technical leadership to define product and engineering direction.

Build core product and infrastructure, ship end-to-end features across the stack, develop data ingestion and multimodal representation systems, implement LLM-based agentic systems and other AI approaches, and act as a technical leader mentoring engineers while defining technical vision and culture.