About Decoda Health Decoda Health is building the AI-native operating system for modern clinics. Our platform unifies scheduling, charting, forms, communications, inventory, checkout, and intelligent agents like our AI Receptionist and AI Scribe, powering millions of appointments and patient interactions across the U.S. Clinics deserve software that thinks with them, not tools built decades ago. If you're excited by the future of AI-powered clinical operations but don’t see a role that fits, this open application is for you. What You Might Work On Depending on your background, you may contribute to: - Engineering & Product: Build and refine AI-native EMR modules, agent workflows, and internal tools. - Operations: Improve clinical workflows, support implementations, and streamline cross-team processes. - Growth & Customer Success: Help clinics adopt Decoda, analyze performance, gather insights, and shape product direction. - Generalist Projects: Tackle ambiguous problems, build processes from scratch, and work across teams in a fast-moving environment. What We Look For - Strong communicators who thrive in small, high-velocity teams - Builders comfortable with ambiguity and rapid iteration - Curiosity about AI, healthcare operations, or clinic workflows - A bias toward action and ownership - Experience in engineering, product, operations, healthcare, customer success, or related roles is helpful—but not required Why Join Decoda - Work on the first AI-native EMR transforming real clinical operations - Massive impact: already used by hundreds of clinics across the US, handling over 5M+ patient interactions. - Solve meaningful problems for clinicians and patients - Flexible remote work, fast responsibility growth, and a mission-driven culture How to Apply Send us your resume and a brief note on where you’d like to contribute. If there's a fit, we’ll reach out.

If we have no open positions or none fit you but you're interested in working with us, feel free to submit a general application and we'll keep it on file for if the time is right.

We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. About the role We're looking for an ML infrastructure engineer to bridge the gap between research and production at Runway. You'll work directly with our research teams to productionize cutting-edge generative models—taking checkpoints from training to staging to production, ensuring reliability at scale, and building the infrastructure that enables fast iteration. You'll be embedded within research teams, providing platform support throughout the entire model development lifecycle. Your work will directly impact how quickly we can ship new models and features to millions of users. A peek at our technical stack Our API endpoints for real-time collaboration and media asset management is written in TypeScript, and runs in ECS containers on AWS Fargate. We leverage multiple AWS-native components, such as S3, CloudFront, Lambda, Kinesis, and SQS, as building blocks of our infrastructure. Our inference backend is written in Python (PyTorch, TorchScript), and is deployed across multiple clusters / cloud providers. We use Kubernetes for container orchestration, and k8s-native components such as Flyte, Kueue, and Kyverno efficient job orchestration. We invest in prometheus and grafana for monitoring, and Terraform to manage our infrastructure. What you’ll do - Productionize model checkpoints end-to-end: from research completion to internal testing to production deployment to post-release support - Build and optimize inference systems for large-scale generative models running on multi-GPU environments - Design and implement model serving infrastructure specialized for diffusion models and real-time diffusion workflows - Add monitoring and observability for new model releases—track errors, throughput, GPU utilization, and latency - Embed with research teams to gather training data, run preprocessing scripts, and support the model development process - Explore and integrate with GPU inference providers (Modal, E2E, Baseten, etc.) What you’ll need - 4+ years of experience running ML model inference at scale in production environments - Strong experience with PyTorch and multi-GPU inference for large models - Experience with Kubernetes for ML workloads—deploying, scaling, and debugging GPU-based services - Comfortable working across multiple cloud providers and managing GPU driver compatibility - Experience with monitoring and observability for ML systems (errors, throughput, GPU utilization) - Self-starter who can work embedded with research teams and move fast - Strong systems thinking and pragmatic approach to production reliability - Humility and open mindedness; at Runway we love to learn from one another Nice to Have - Experience building custom inference frameworks or serving systems - Deep understanding of distributed training and inference patterns (FSDP, data parallelism, tensor parallelism) - Ability to debug low-level issues: NCCL networking problems, CUDA errors, memory leaks, performance bottlenecks - Experience with diffusion models or video generation systems - Knowledge of real-time or latency-sensitive ML applications Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC

We’re building something powerful. Let’s build it together. We've delivered high-performance embedded computing solutions for four decades across industries including defence, telecoms, and aerospace. We’re proud to be experts in what we do and are looking for an Embedded Software Engineer to join our brilliant team. The Role The constant requirement for new, better, and more complex products means that the company requires an additional BIOS Engineer. The Software Engineering team is responsible for breathing life into our computer products by creating and maintaining the BIOS, and Board Support Packages (as well as additional software) required for their operation. What will I be delivering? Key Responsibilities: - Design, develop and maintain the UEFI BIOS and other bootloader software. Including integration of board-level hardware: PCIe, USB, Ethernet, I2C, GPIO, UART, and other common embedded interfaces. - You will be involved in end to end development as part of a small team. - Work with our hardware designers: - During the design phase to specify the product - During board bring up to get the prototype hardware working - During the design proving phase to validate the product - Work closely with the realisation team in defining test software plans. - Work on challenging customer issues that get escalated to engineering team. - Working with the hardware design authorities and software architect to support product specification. - Participate in security feature implementation. The hardware and software platforms vary, but most of the devices used are complex and a good appreciation of the hardware is a pre-requisite for this role. What do I need to bring with me? Demonstrated knowledge and experience - Substantial experience developing UEFI BIOS, or related bootloader firmware based on EDK2, Slimboot or Intel FSP. - Proficient in Embedded C programming for x86, PowerPC, or high-performance ARM processors. - Practical experience programming a variety of hardware devices at the register level. - Excellent problem-solving and debugging skills. - Familiarity with schematics and datasheets to support hardware bring-up and debugging. - Ability to apply a systematic approach to software debugging, ensuring thorough and efficient resolution of issues. - Ability to communicate in English and to work in an interdisciplinary engineering and project team. - Ability to work independently and collaboratively in a multi-disciplinary engineering team. What sort of people are we looking for? - You have fearless curiosity, embracing change as the catalyst for progress and performance. - You’re committed to the customer and delivering great service. - You are agile in the way that you work and are able to work at pace. You're always considering how to work smarter to go above and beyond for our customers. - You want to try new things, learn, and are not afraid to fail. - You love technology and are passionate about what we do. Benefits for Working at Concurrent - 20 days’ vacation + 7 public holidays - 5 sick/personal days per year - Annual profit share bonus - Employee referral scheme - Flexible Spending Account - Health insurance - Health Reimbursement Account - One paid volunteering day per year - Principal 401K Plan - YuLife wellbeing app Work EligibilityIn compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. To conform to U.S. Government export control regulations, applicant must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or Department of Commerce.Equal Opportunity StatementWe are an equal opportunity employer and believe in the power of a diverse, inclusive team. We welcome all applications from all suitably qualified people, regardless of race, sex, disability, religion / belief, sexual orientation or age. Please let us know if you require anything which would enable your success throughout our interview process.Security Clearance Please be aware that certain roles working for Concurrent will be subject to security and export control restrictions. These specific roles are therefore subject to candidates being able to meet BPSS level pre-employment screening criteria.