Helm Jobs

Stability AI

The Data team builds and runs the systems that make Stability AI's data usable for business operations and model training. This is a collaborative, outcome-focused role where you'll have significant technical access and autonomy. You will own the company's data platform end-to-end, including the AWS data lake, transformation layer, integrations between business systems, and the Kubernetes infrastructure. You will connect and maintain data from various systems like billing, usage telemetry, identity, CRM, and ERP. Additionally, you will serve as the data engineer for research teams, building pipelines to transform raw media into training-ready datasets for audio, video, image, and 3D modalities.

$176k - $230k

CoreWeave is seeking a Senior Software Engineer to join the Applications Engineering team, which builds the software used to plan and operate CoreWeave's infrastructure business. This role involves building full-stack applications and features within the company's data platform, UNION, and owning them in production. The work includes developing natural language interfaces and agents that operate on governed data, along with the necessary evaluation mechanisms. You will collaborate closely with stakeholders to define software requirements and take full ownership of product areas from conception to deployment and maintenance.

$153k - $204k

Enterprise AI is building the platform that enables reliable deployment of AI systems across enterprise environments. As a Platform Engineer, you will build and operate the core of Turing’s Enterprise AI platform, including platform services, the model gateway, multi-tenant infrastructure, CI/CD, infrastructure as code, and observability. The central challenge is creating repeatable deployments across environments Turing may not control, including client cloud accounts, dedicated instances, and sovereign installations. This role requires hands-on software engineering and operational ownership, with a focus on building production software and contributing deeply to platform services.

Vectara is seeking a Platform Engineer to own the infrastructure that runs our deploy-anywhere platform. This role involves managing Kubernetes clusters for ML inference at scale, CI/CD pipelines, infrastructure as code, and the observability stack. You will be hands-on, writing Helm charts and Terraform, debugging issues, and shipping backend service features. The position requires deploying across AWS, GCP, and on-premises environments, including air-gapped setups, and participating in an on-call rotation to support enterprise customers.

As a member of the infrastructure team, you will be responsible for designing, building, and advancing our core infrastructure. This role supports the engineering team in executing quickly, productively, and securely within a collaborative yet highly autonomous working environment. Each team member has a defined role with clear expectations and the freedom to pursue interesting projects.

$205k - $270k

d-Matrix is at the forefront of software and hardware innovation, aiming to unleash the potential of generative AI. We foster a culture of respect, collaboration, humility, and direct communication, valuing diverse perspectives to create better solutions. We are seeking passionate, execution-driven individuals ready to tackle challenges and shape the future of AI. The Inference Cloud Engineering team is responsible for the deployment and orchestration technology behind d-Matrix’s inference services, including an internal cloud for model testing and a customer-facing cloud with self-service inference endpoints. This role will own the end-to-end testing and release process for this critical software, ensuring features are proven, releases are predictable, and rollbacks are safe, even with scarce and shared hardware resources.

$155k - $235k

Together AI

Together AI is seeking a Staff Platform Infrastructure Engineer to lead service and platform infrastructure strategy across the engineering organization. This is a hands-on technical leadership role with the opportunity to establish a new team and define the standard for how services are built and operated. You will provide a stable, scalable service infrastructure foundation for mission-critical product and platform teams, focusing on reliability, repeatability, and ease of adoption. You will own and evolve crucial shared infrastructure, roll out new patterns and platform capabilities, and ensure services are built on company-wide foundations.

$240k - $280k

Together AI

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle. The AI Infrastructure team is at the forefront of building and scaling the foundational systems that power our generative AI platform. The storage and observability team is crucial for designing, implementing, and maintaining robust distributed storage solutions, ensuring seamless data access and management. They are also responsible for developing comprehensive observability platforms, providing critical insights into system performance and GPU utilization, and proactively identifying and resolving issues.

$200k - $280k

At WRITER, our mission to expand human capacity with superintelligence relies on a foundational truth: our platform must be available, performant, and reliable, 24/7. As an Infrastructure engineer, you'll be at the heart of making this a reality, impacting every enterprise customer who trusts us with their AI-powered workflows. This isn't just about keeping the lights on; it's about pushing the boundaries of what's possible, proactively identifying and solving complex systemic challenges, and laying the groundwork for our rapid growth and the evolving demands of enterprise generative AI. You'll build resilient systems, automate across the stack, and champion reliability best practices, directly enabling our ambitious product roadmap and ensuring our customers always have access to the powerful tools they need.

$155k - $240k