Build tooling, extensions, and plugins that improve developer experience on Runpod.
Deliver talks at developer conferences and create technical content.
Design and run programs that scale content, events, and community.
Runpod is the AI Developer Cloud, providing a platform for AI experimentation, training, and deployment. We are a small, remote-first team with over a million developers using our platform.
Ship reference implementations developers copy, from MCP servers with production auth to agentic workflows.
Teach people about agentic workflows through demos, posts, talks, and video.
Improve developer experience by being the first user and bringing field feedback to product teams.
Prefect builds and operates resilient, Pythonic orchestration and MCP platforms used for mission-critical workloads. They are a remote-first company with a supportive, high-performance culture.
Build and maintain production-quality reference implementations and educational content for developers.
Represent the company at conferences, on livestreams, and within developer communities.
Work closely with product and engineering teams to identify friction and improve developer experience.
The company develops modern orchestration and AI technologies. It is a remote-first, high-performance environment with a focus on autonomy and developer community.
Build and deploy production code to support customer AI inference workloads on Tenstorrent's hardware and software stack.
Debug and optimize across the full inference stack, from serving layer to kernel dispatch, and translate customer issues into actionable requirements.
Operate Kubernetes and observability tools to manage multi-node AI clusters and ensure reliability.
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. Their diverse team of technologists has developed a high-performance RISC-V CPU from scratch, and they value collaboration, curiosity, and a commitment to solving hard problems.
Serve as the primary technical point of contact for teams running large-scale training and inference workloads, owning onboarding end to end.
Diagnose and resolve complex failures in customer environments, from network fabric to ML frameworks, and build automation to prevent recurrence.
Profile and improve distributed training performance, lead incident response, and turn field insights into product improvements.
Andromeda Cluster provides scaled AI infrastructure to early-stage startups, founded by Nat Friedman and Daniel Gross. They work with leading AI labs, data centers, and cloud providers to deliver compute globally, building the liquidity layer for AI compute.
Design and write high-performing scalable software for training models.
Develop new tools to support and accelerate research and LLM training.
Collaborate with engineering teams and scientific teams to implement experiments on cluster and data infrastructure.
Cohere is a security-first enterprise AI company building cutting-edge foundation AI models and end-to-end products for real-world business problems. The company is a global team of researchers, engineers, and designers passionate about AI, headquartered in Toronto with offices worldwide.
Produce demos, technical blog posts, and videos to drive developer awareness and sign-ups.
Deliver talks at developer and AI conferences and build relationships with the community.
Build tooling, extensions, and plugins that improve the developer experience on the platform.
Runpod is the AI Developer Cloud used by over a million developers to experiment, train, and scale AI. We're a small, remote-first team that takes ownership and moves fast.
Create technical content (blog posts, tutorials, videos) teaching developers how to build AI agents on Cresta.
Build and maintain sample apps, code snippets, and reference integrations for best practices.
Plan and run workshops for developers and partners, both virtual and in-person, from zero to working agent.
Cresta provides a unified AI platform for customer experience, combining conversational AI agents, real-time human agent augmentation, and conversation intelligence. Born from Stanford AI Lab, Cresta has raised over $270 million from investors like a16z, Greylock, and Sequoia, and is led by AI experts.
Build the technical product marketing function for the Provider business, creating collateral like white papers, reference architectures, and demo environments.
Directly support pipeline development by partnering with sales and solution architects through technical storytelling and proof-points.
Develop competitive intelligence and represent Mirantis as a credible technical voice on GPU infrastructure and sovereign AI.
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. It empowers platform engineering teams across any environment with a strong benefits plan and professional development.
Own the health of Arize's product documentation, keeping it accurate as we ship and rewriting parts that have stopped making sense.
Build automated systems to monitor documentation quality, detect drift between docs and code, and draft updates for human review.
Create tutorials, cookbooks, and open-source repos that take developers from introduction to value quickly, ensuring a stellar onboarding experience.
Arize AI provides the leading AI observability and evaluation platform for monitoring and optimizing AI systems. They are a Series C company with over $135M in funding, serving 150+ enterprises including Fortune 500 companies like Booking.com, Uber, Siemens, and PepsiCo.
Create high-quality educational content such as tutorials, sample code, and reference architectures for cloud computing and ML workloads.
Collaborate with academic partners and solution architects to design practical cloud solutions.
Produce video tutorials and live coding sessions to explain complex technical concepts.
Nebius Academy provides cloud infrastructure and AI solutions through educational content and technical partnerships. The company operates in a rapidly evolving AI infrastructure environment, collaborating with universities and technical partners.
Implement and optimize compute kernels for Attention, GEMM, MoE, and quantization on NVIDIA, AMD, or AWS Trainium using CUDA, Triton, ROCm/HIP, or Neuron SDK.
Profile and improve inference performance in vLLM, SGLang, and custom runtimes through kernel fusion, scheduling, and memory optimizations.
Ship code upstream to open-source AI infrastructure projects with tests and documentation, working on a well-scoped project from design to production.
Yotta Labs is building the next generation multi-silicon AI cloud and runtime platform to power the world’s most demanding AI workloads. They are a remote-first team with a focus on high-performance AI computing and offer a flexible, collaborative work environment.
Build the environments and verifiers our models train against
Own the synthetic data pipeline, from generation through quality gates
Ship models into production and keep improving them on real usage
LiveKit builds the infrastructure layer for the voice-driven era of computing, enabling developers to build, deploy, and scale voice AI applications. Founded in 2021, they power voice AI for major companies and have a small, senior team that values craft and creativity.
Own the technical path from customer interest to working deployment, integrating the platform into production AI environments.
Build and operate AI/MLOps pipelines, debug complex environments, and create prototypes and demos.
Translate customer needs into product improvements, partnering with Sales, Product, and Engineering.
Neuromorphic Labs is a Seed-stage AI startup building a trust layer for production AI, making security, governance, and control intrinsic to every model and deployment. Backed by top-tier VCs, the team is small and fast-paced, emphasizing ownership, high standards, and collaboration with exceptional builders.
Design and implement advanced batch scheduling architectures using frameworks like Volcano or YuniKorn to support multi-node gang scheduling.
Develop and manage cluster-wide admission control and sophisticated job queueing mechanisms utilizing Kueue to manage high-volume AI workload traffic.
Collaborate with GPU Systems and Storage teams to ensure the scheduling layer is tightly integrated with bare-metal hardware and storage I/O patterns.
Bitdeer provides comprehensive Bitcoin mining solutions and AI computational infrastructure. The company operates globally with data centers in multiple countries and focuses on AI and blockchain technology.
Serve as the strategic technical thought partner to EMEA partner leadership, owning the technical relationship and setting the vision for how Coder fits into each partner's AI and modernization portfolio.
Co-create sales plays, develop workshops and Builder Labs, and intervene directly on high-value partner-attached deals across EMEA to drive pipeline and technical wins.
Build repeatable assets like reference architectures, enablement modules, and GTM playbooks that scale across the ecosystem without requiring your direct involvement.
Coder is an AI software development company leading the future of autonomous coding by empowering teams to build software faster, more securely, and at scale through AI coding agents and human developers. As a growing startup, we foster a culture of autonomy, innovation, and collaboration, focused on making agentic AI a safe and integral part of every software development lifecycle.
Participate in customer and sales meetings to explain technical capabilities and develop proof-of-concept solutions.
Troubleshoot and resolve complex customer issues through code analysis, scripting, and log analysis.
Collaborate with internal teams across engineering, sales, and product to improve platform and customer experience.
The company specializes in AI infrastructure and cloud environments, helping customers adopt and scale AI workloads. It is a remote-first, collaborative organization with a fast-growing team that values ownership and quick execution.
Develop and evolve the internal developer platforms that support development across Abnormal.
Own high-leverage projects across CLI tooling, CI/CD, shared libraries, and test infrastructure.
Shape abstractions and workflows that are AI-native, consumable by both humans and AI agents.
Abnormal protects the humans behind the world's most critical organizations from AI-powered cybercrime. The company serves over 4,500 enterprises and fosters an inclusive culture as an equal opportunity employer.
Design, build, and own shared infrastructure for Interpretability research environments, data systems, and compute tooling.
Lead cross-team efforts with agentic engineering, security, compute, and storage platform teams.
Discover and resolve major organization-wide developer experience issues and help take interpretability methods from research code to dependable audit pipelines.
Anthropic is an AI safety company focused on building reliable, interpretable, and steerable AI systems. They are a quickly growing team of researchers, engineers, policy experts, and business leaders committed to beneficial AI.