Grafana Labs jobs

Intern, Create Value Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE This is an internship for an exceptional student or early-career builder - your shot to do the most serious work of your life so far, on a small team where interns own real problems. Building an automated lab throws off an endless stream of problems, and they don't respect job titles. One week it's a gnarly data pipeline, the next a

Senior ML Engineer Remote - US & Canada (see post for locations) Senior ML Engineer About Invoca Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture. About the Team The Data Platform team owns the full ML lifecycle at Invoca, from model training and fine-tuning through inference optimization and production APIs. We move quickly, swarm on hard problems, and care deeply about code quality, reliability, and each other's growth. Learn more on our blog or check out our open source projects . About the Role We're hiring a Senior ML Engineer to own the productionization layer of Invoca's ML stack - model serving, inference optimization, fine-tuning, and the APIs and pipelines that tie it all together. You'll be a primary driver of the infrastructure powering our Context Engine and agentic AI workflows, working closely with Data Scientists, Data Engineers, and Applied AI Engineers. Core Focus & Primary Ownership Lead End-to-End MLOps and Productionization: Architect, implement, and maintain CI/CD pipelines for ML artifacts - including model evaluation, versioning, and automated deployment. Serve as the primary SME for operational excellence across the Invoca ML stack. Design and Optimize SLM/LLM Deployment: Own the full inference infrastructure: model serving on Triton Inference Server, Baseten, and Kubernetes-based GPU infrastructure. Profile and tune for low latency and high throughput, and build robust, scalable APIs

Senior Software Engineer, ML Research Cambridge, MA USA Your Impact at LILA We're hiring a Senior Software Engineer to team with our Machine Learning Engineers and Researchers to build software that powers Lila's ML workflows and research tooling. You will be on a team of software engineers that work alongside machine learning experts to develop, support, and maintain Lila's ML libraries and tools. What You'll Be Building - Design and build high-performance, secure, and well-documented Machine Learning libraries that implement the algorithms designed by machine learning researchers and engineers. - CI/CD pipelines and integration tests for ML workflows. - Architect repository designs to follow consistent standards. - Support debugging, logging, and maintenance for Ray-based compute environments. - Data ingestion pipelines linking lab data to ML teams. What You'll Need to Succeed - Minimum of 8 years of experience writing software in a commercial setting in Go or Python. - Experience implementing scalable software solutions. - Experience with MLOps systems, GitOps (ArgoCD, Github Actions) - Familiarity with orchestration frameworks (Ray, Argo, Airflow). - Proficiency in Containerization, Kubernetes and infrastructure-as-code tools. - Acute listening skills and patience to deeply understand complex problems and algorithms. - Excellent problem-solving skills and team-first mentality. - Energetic self-starter and independent thinker with strong attention to detail. - Eager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting. Bonus Points For - Proficiency with monitoring and logging tools (e.g., Prometheus, Grafana) - Research engineering or scientific software experience. Compensation We offer

Senior Software Engineer, Observability Insights New York, NY / Sunnyvale, CA CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: Join CoreWeave's Observability team, where we are building the next-generation insights layer for AI systems. Our team empowers internal and external users to understand, troubleshoot, and optimize complex AI workloads by transforming telemetry into actionable insights. About the role: As a Senior Software Engineer on the Observability Insights team, you will lead the development of agentic interfaces and product experiences that sit atop CoreWeave's telemetry layer. You'll design multi-tenant APIs, managed Grafana experiences, and MCP-based tool servers to help customers and internal teams interact with data in innovative ways. Collaborating closely with PMs and engineering leadership, your work will shape the end-to-end observability experience and influence how people engage with cutting-edge AI infrastructure. Who You Are: - 6+ years of experience in software or infrastructure engineering building production-grade backend systems and distributed APIs. - Strong focus on developer-facing infrastructure, with a customer-obsessed approach to SDKs, CLIs, and APIs. - Proficient in reliability engineering, including fault-tolerant design, SLOs, error budgets, and

Head of QC & Analytics Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. THE ROLE We are looking for a Head of QC & Analytics to own the quality and data integrity of everything that comes out of our foundry. As we scale to tens of thousands of samples across hundreds of simultaneous experiments and conditions, the robustness of our analytical readouts and the reliability of our data pipelines become mission-critical. This is a hands-on

Senior Systems Engineer, OS Automation Livingston, NJ / New York City, NY/ Sunnyvale, CA/ Bellevue, WA CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . About the Role: SysEng HAVOCK ( H ardware - A cceleration - V irtualization - O perating Systems - C ontainerization - K ernel) CoreWeave is looking for a Senior Systems Engineer who is ready to evolve beyond traditional DevOps. You will start by stabilizing and scaling our Linux OS and Kernel build pipelines. Once the foundation is set, you will lead the transition to AI-native infrastructure , building "smart" workflows that don't just report errors, but understand and fix them. You are a Systems Engineer at heart, but you are ready to apply LLMs, RAG, and predictive modeling to solve infrastructure challenges at scale. Our Team's Stack: - Languages: Python, Go, bash/sh - Observability: Prometheus, Victoria Metrics, Grafana - OS & Kernel: Linux Kernel (custom build), Ubuntu - Hardware: Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs - Containerization: Docker, Kubernetes (k8s), KubeVirt, containerd, kubelet Responsibilities: - Pipeline Architecture: Design, maintain, and automate reproducible OS image

Data Scientist, Lab & Protein Data Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out the data science layer of Adaptyv's foundry - the work that turns tens of thousands of raw, messy experimental readouts into clean, trustworthy, structured data that our customers, our models, and our own scientists can rely on. Binding (BLI/SPR), developability, biophysical, and functional assays all produce data at scale; your job is to make that

Software Engineer, Kubernetes Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: In this role, you will play a key part in ensuring the availability, reliability, and scalability of one of the industry's largest Kubernetes environments. As a member of the team, you will drive operational excellence, implement robust automation, and help shape the systems that keep CoreWeave's cloud running smoothly. About the role: - Build, operate, and scale Kubernetes-based production infrastructure that delivers CoreWeave's products with high reliability and performance. - Develop automation, tooling, and infrastructure as code in Go and other infrastructure-focused languages to enable zero-touch operations, rapid recovery, and seamless deployments. - Design, implement, and maintain monitoring, alerting, and observability solutions-leveraging the Grafana ecosystem and related tools-to proactively identify and resolve production issues. - Drive incident response efforts, participate in on-call rotations, and lead root cause analysis to prevent recurrence and improve incident handling processes. - Partner with internal and cross-functional teams to ensure platform capabilities meet rigorous operational requirements and customer SLAs. - Engineer

Lead AI Engineer - 11510 Mexico City, Mexico Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins. Why join Coupa? 🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend. 🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence. 🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa. What You'll Do: What You Will Bring to Coupa:

Foundation and generative models for biomolecules Berlin, Germany or Palo Alto, CA or Zurich, Switzerland At Inceptive, you will drive forward development that could help billions of people. To accomplish this, you will be part of a collaborative, antedisciplinary team building our biological software. The design space of biomolecules is unimaginably vast - far beyond what can be explored experimentally. Yet within this space lie molecules with properties essential for new medicines. Our machine learning models learn to design therapeutic biomolecules with specific, desirable functions. We advance the state of the art in molecular design by training large-scale foundation models and developing cutting edge generative approaches. The models learn from diverse heterogeneous datasets and are refined through focused fine-tuning and feedback from experiments. Key to progress is a team that combines exceptional machine learning expertise with thorough domain understanding. You will collaborate closely with other machine learning researchers and engineers, as well as computational and experimental biologists, to advance these models and translate their capabilities into real therapeutic designs. Your Mission, should you choose to accept it - Embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise - Develop, implement, train, and iteratively improve state-of-the-art models for biomolecule design - Analyze, visualize, and communicate results to support team efforts in improving models and data - Create, deploy, and refine tools for efficient, reliable machine learning experimentation and production - Work with biologists to collect data for the training and evaluation

Site Reliability Engineer United States At Offchain, we aren't just building products: we're leading a movement. As pioneers in blockchain scalability and security, we're at the forefront of transforming how the world interacts with decentralized applications. We're laying the foundation that will define the next generation of digital commerce, governance, and human interaction. This involves tackling real-world challenges that come with scaling blockchain technology, without compromising on its core principles: decentralization, security and transparency. At the center of this vision is our people. Our team is made up of thinkers and doers that embrace new challenges and seek solutions that push existing boundaries. If you're energized by solving unprecedented problems, and believe in the role that decentralized systems will play in creating a more equitable digital future, then we want to hear from you. Why Offchain? Offchain is setting the pace for the entire Ethereum ecosystem. We built the Arbitrum stack that powers Arbitrum One, the most widely adopted Ethereum scaling solution that exists today. Arbitrum's ecosystem is undergoing tremendous growth with hundreds of projects and dApps on Arbitrum One today. Over 100 different teams have used Offchain technology to build their own Arbitrum chains. Major players in the space, Robinhood, BlackRock, Ethena Labs, Securitize, Aave, and Apechain are all using the Arbitrum stack. Arbitrum's thriving ecosystem wouldn't exist without our advanced technology stack. Arbitrum, Prysm, ZeroDev. These aren't just product names. These are tools that are actively reshaping what's possible on Ethereum and advancing its core infrastructure. To top

Scientist, Protein Expression & Purification Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out protein expression and purification at Adaptyv, with a focus on mammalian systems - CHO and HEK, transient and stable. This is the foundation the rest of the platform stands on: titers, quality, and turnaround here set the ceiling for everything downstream. Your job is to take expression and purification from bespoke, person-dependent protocols to a robust,

Senior DevOps Engineer Tel Aviv, Tel Aviv District, Israel About Irregular Irregular is the first frontier security lab with the mission of protecting the world in the time of increasingly capable and sophisticated AI systems. We build next-generation defenses through high-fidelity research platforms that simulate and monitor real-world AI security scenarios. As AI systems become more powerful, we focus on staying ahead of emerging threats and vulnerabilities, ensuring these transformative technologies can be deployed safely and securely. About the Role As Irregular's Senior DevOps Engineer, you will play a critical role in shaping our infrastructure, deployment pipelines, and operational foundations. This is a hands-on, high-ownership role with real influence over how the company builds, deploys, and operates its systems in production. You'll be building infrastructure that supports work with frontier AI labs such as Google, Anthropic, and OpenAI, and meets the scale, security, and reliability standards this ecosystem requires. This includes architecting ephemeral, on-demand environments, and spinning up and tearing down multi-service deployments (VPCs, compute, serverless components, and more) as needed. You will work closely with research, engineering, security, and leadership to design and maintain scalable infrastructure, improve system reliability, and enable fast, safe, and secure product delivery. Key Responsibilities - Own and evolve Irregular's cloud infrastructure, with a strong focus on scalability, security, and reliability - Design, build, and maintain end-to-end CI/CD pipelines and deployment workflows - Lead and continuously improve containerized environments (Docker, Kubernetes) - Build and maintain Infrastructure as Code and automation frameworks (e.g., Terraform) - Own

Senior Manager, Analog IP Design , Analog IP Design Tel Aviv-Yafo, Tel Aviv, ISR Annapurna Labs, an Amazon company, is seeking an exceptional an exceptional leader to build and lead our next-generation internal Analog IP design team. This is a unique opportunity to create a world-class analog design center from the ground up, developing the critical IP blocks that power all of our custom silicon products, including Graviton (server CPUs) and Nitro (networking/security accelerators). At Annapurna Labs, we think big in both scale and scope. We are building internal capabilities for cutting-edge analog IP that will define the next era of cloud infrastructure silicon. This role is an opportunity to shape the analog IP strategy across all our products and lead the team that delivers it. Key job responsibilities Build the team: Recruit, hire, and develop a world-class analog/mixed-signal design team from the ground up. Define the org structure, roles, and growth path. Define the IP strategy: Own the analog IP roadmap across all Annapurna Labs products. Evaluate build vs. buy decisions and drive internal capability development. Drive execution: Lead the full design cycle from architecture through silicon validation - spec, schematic, layout, simulation, tapeout, and bring-up. Collaborate cross-functionally: Partner with SoC architecture, digital design, physical design, DFT, packaging, and system teams to integrate analog IP seamlessly. Set technical direction: Define design methodologies, flows, and best practices. Evaluate and select EDA tools, PDKs, and foundry processes. Innovate at scale: Develop IP that is reusable, portable across process nodes, and designed

Senior Infrastructure Engineer (AI Lab) Singapore About Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: - Business Insider named us an “enterprise startup to bet your career on” - Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world - Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in

HPC Performance Engineer New York, NY / Sunnyvale, CA / Bellevue, WA CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What you'll do: CoreWeave is seeking a highly skilled and motivated HPC Performance Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will play a crucial part in the design, development, and optimization of our bare-metal systems from POST through joining a Kubernetes cluster. The team's primary responsibilities include maintaining a custom Linux kernel, various OS images (Ubuntu-based), the virtualization stack (kubevirt/qemu/vfio), and the container/pod runtime stack (containerd/nydus/kubelet). You will collaborate closely with cross-functional teams, up stack engineering teams, and stakeholders to ensure our low-level software stack is performant in the context of hardware updates; and providing data, metrics, dashboards, and analysis to substantiate performance assertions. Kernel H ardware - A cceleration - V irtualization - O perating Systems - C ontainerization - K ubelet Our Team's Stack: - Python, Go, bash/sh, C - Prometheus, Victoria Metrics, Grafana - Linux Kernel (custom build), Ubuntu - Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs

Scientist, Antibody Developability Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out antibody developability at Adaptyv - the panel of assays that separates a nice binder from a manufacturable, stable, well-behaved therapeutic. Aggregation, thermostability, self-association, polyreactivity, solubility, viscosity, and chemical liabilities: you'll build the experimental stack that flags these early, and make it something customers can order as a product. These assays exist today as a scattered, bespoke collection. Your

Systems Engineer, Kernel Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do: CoreWeave is seeking a highly skilled and motivated Systems Kernel Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will be a key contributor to the stability, performance, and evolution of CoreWeave's Linux based infrastructure. As a kernel generalist, you will be responsible for debugging kernel-level issues, analyzing and fixing crashes, panics, dumps, and upstreaming fixes and features that improves the performance and reliability of our stack. This position is ideal for someone who thrives in low-level systems engineering, and understands how modern workloads stress kernels, and is excited to work across a diverse hardware/software ecosystem including CPUs, GPUs, DPUs, networking, and storage. Kernel H ardware - A cceleration - V irtualization - O perating Systems - C ontainerization - K ubelet Our Team's Stack: - Python, Go, bash/sh, C - Prometheus, Victoria Metrics, Grafana - Linux Kernel (custom build), Ubuntu - Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband

Sr. Lead AI Engineer - 11509 Mexico City, Mexico Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins. Why join Coupa? 🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend. 🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence. 🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa. What You'll Do: What You Will Bring to Coupa:

Join Our Talent Community Remote Join the Invoca Talent Community Welcome to Invoca's Talent Community! We are thrilled to invite passionate and talented individuals to explore exciting career opportunities with us. Whether you're a candidate looking for a new challenge or someone referring top talent, you're in the right place. By joining our Talent Community, you'll be the first to know about new job openings, company updates, and exciting events. Why Invoca? At Invoca, we are the industry leader and innovator in AI and machine learning-powered Conversation Intelligence. With over 300 employees, 2,000+ customers, and $100M in revenue, we are building a world-class SaaS company. Our mission is to transform the way businesses connect with their customers, and we want you to be a part of this journey. Our Departments Engineering Our engineering team is the backbone of our innovative products. They build, test, and maintain the solutions that drive our success. Software Engineers Quality Assurance Engineers Data Engineers and Scientists Reliability Engineers Security Engineers Tech Leads and Architects Product The product team ensures that our offerings meet market needs and exceed customer expectations. Product Managers UX/UI Designers Product Analysts Technical Product Managers Sales Our sales team is dedicated to expanding our customer base and ensuring our solutions reach those who need them most. Account Executives & Managers Sales Development Representatives Sales Engineers Sales Operations Strategic and Partnership Leaders Revenue and Sales Enablement Marketing The marketing team crafts our story and spreads the word about Invoca's cutting-edge solutions. Account Based

Software Engineer - Infrastructure (Mid - Senior) San Francisco, CA Compensation: Competitive base salary and meaningful equity Benefits: Health & dental insurance, gym reimbursement, daily team meals, commuter benefits We're an applied AI lab building coding agents. Julius executes ~1M lines of code every 36 hours for 1M+ users and has generated 3M+ visualizations. All code runs in code sandboxes (isolated remote containers) that we manage. We're revenue‑generating and backed by AI Grant, YCombinator, Bessemer Venture Partners and the founders from Vercel, Notion, Perplexity, Palantir, Replit, Zapier, Intercom, and Dropbox. The Role Build and scale the code‑execution sandboxes that power Julius across cloud environments (AWS and GCP). We orchestrate 500k+ containers/month and growing. You'll own reliability, performance, and security for multi‑tenant compute. What You'll Do - Design and operate secure, multi‑tenant container infrastructure with fast startup and smart autoscaling. - Ship cloud deployments (Helm/Terraform) with SSO, network controls, and audit logging. - Drive observability (metrics, traces, logs) with clear SLOs; lead incident response. - Optimize images, scheduling, networking, and cost ; build fair‑use and rate‑limiting controls. What You Bring - Production Kubernetes and container internals (Docker/containerd); strong networking fundamentals. - Cloud (AWS/GCP/Azure) and IaC (Terraform/Helm). - Monitoring/Logging (Prometheus, Grafana, OpenTelemetry, ELK/Vector). - Security best practices for containerized, multi‑tenant systems. Nice to Have - gVisor/Kata/Firecracker; Cilium/eBPF; GPU scheduling; serverless autoscaling (KEDA/Knative/Karpenter). - You've built an AI side project and enjoy tinkering with LLMs. Why Julius Small, senior team; massive impact surface; hard infra problems at meaningful scale.

Software Development Engineer - Testing Infrastructure & Performance, Trainium/Neuron, Annapurna Labs Cupertino, California, USA The Neuron team within Annapurna ML develops the software stack that powers AWS's custom AI training and inference chips (Trainium, Inferentia). Our team builds and operates the testing infrastructure and performance characterization systems that ensure every release meets quality and performance bars before reaching customers. We directly enable the velocity and reliability of Neuron software releases. We are looking for a Software Development Engineer to own and evolve the testing infrastructure and performance pipeline that validates Neuron software across workloads, models, and hardware configurations. You will build data pipelines that collect, process, and surface performance metrics - and dashboards that give engineers and leadership real-time visibility into regression detection, performance trends, and release readiness. Your work directly impacts how fast we ship high-quality software to customers running ML workloads on Trainium. Key job responsibilities - Design, build, and maintain automated testing infrastructure (Python) that validates Neuron compiler, runtime, and framework integrations across hardware targets - Build and operate data pipelines that ingest performance benchmarks, test results, and system metrics from distributed test runs into centralized data stores - Develop performance dashboards that surface regression detection, trend analysis, and release-readiness signals to engineering teams and leadership - Create and maintain integration test frameworks that validate end-to-end model compilation, execution, and performance across Trainium configurations - Build automated alerting and triage tooling that identifies performance regressions early and routes them to the right owners - Collaborate with Compiler,

Partnerships Lead New York City, San Francisco, or Boston, United States At Inductive Bio, we're helping drug hunters find better medicines, faster, through our virtual lab and AI-enabled synthesis and testing approach. Chemists have historically relied on slow, resource-intensive design-make-test-analyze (DMTA) cycles to find molecules that are effective, safe, and viable in the human body. We're changing that with our state-of-the-art AI platform that makes every DMTA cycle as efficient and impactful as possible. Our ADMET/PK models have placed first in the world's largest AI drug discovery competition for ADMET benchmarks two years running. Most recently, outperforming 370+ submissions, including Merck + NVIDIA, and EMD Serono. We are backed by leading investors at the intersection of technology and biotechnology, and our team includes world-class technology and drug discovery experts. We've partnered with dozens of biopharma companies to expedite their highest priority drug programs. To meet the rapidly growing demand, we need to expand our go-to-market team with high performing individuals. We are seeking a Partnerships Lead to drive adoption of our platform, shape tailored solutions for our customers, and own the full sales cycle. You'll play a key role in expanding our commercial footprint while helping refine our go-to-market strategy. What you'll do: - Own the full-cycle sales for Inductive's virtual lab software and AI-enabled discovery services offerings, delivering revenue and a consultative buyer experience from outreach to close - Build and manage a pipeline through networking, targeted outbound efforts, and participation in industry events and conferences - Earn the

Senior Software Engineer, Observability Poland Redpanda is pioneering the Agentic Data Plane (ADP) - a new category in AI infrastructure that makes it simple and secure to connect AI agents with enterprise data and systems. Built on a multi-modal data streaming engine, Redpanda empowers agentic applications that reason and act in real-time with speed, autonomy, and precision. Global leaders including Activision Blizzard, Cisco, Moody's, Texas Instruments, Vodafone and 2 of the top 5 banks in the U.S. rely on Redpanda to process hundreds of terabytes of data a day. Backed by premier venture investors Lightspeed, GV and Haystack VC, Redpanda is a diverse, people-first organization with teams distributed around the globe. About the Role: We are looking for a Senior Software Engineer to join our Observability team and help build the platform that gives Redpanda's engineering organization deep visibility into the health, performance, and behavior of our systems. You will own and evolve our Grafana-based observability stack-spanning metrics, logs, and traces-and ensure that every team at Redpanda has the tooling and insights they need to ship reliable, high-performance software. This is a high-impact role at the intersection of infrastructure and developer experience. You will work closely with platform and product engineering teams to design scalable observability solutions, drive adoption of best practices, and reduce mean time to detection and resolution across our cloud and on-premise deployments. You Will: - Design, build, and maintain Redpanda's observability platform using the Grafana stack (Grafana, Mimir, Loki, Tempo, Alloy/Agent) - Develop and optimize dashboards,