Zoox is looking for an experienced software engineer to work on large-scale simulation pipelines used to validate the behavior of the Zoox self-driving vehicle. These are data and GPU intensive workloads built on Ray.io and Kubernetes. Given the massive scale and criticality of these pipelines, ensuring their reliability and efficiency has a significant impact on the company's ability to safely and quickly iterate on autonomy development. We are a small, scrappy team within the larger Autonomy organization. Although this role primarily involves off-vehicle pipelines, you will work closely with engineers developing the on-vehicle algorithms and models in our autonomy stack. We stay close to the end users - autonomy engineers - and think about the end to end use case for these validation pipelines. This is a hands-on role with a high degree of independence and ownership. You will be expected to contribute towards the framework’s architecture, reliability, efficiency, and grow its capabilities to support new use cases. You should have a track record of keeping production systems running with high availability. Experience with robotics or autonomous systems is not required but an understanding of the robotic data lifecycle is preferred. In this role, you will: Improve the cost efficiency, reliability, and performance of our validation and simulation pipelines Create production-grade APIs, SDKs, and tools to enable a varied set of validations of autonomous behaviors Improve the ML training pipelines supporting the autonomous behavior org Qualifications Bachelor’s degree in Computer Science or related field and 8+ years of industry experience Experience optimizing large-scale distributed systems for cost and efficiency Experience with AWS or similar providers Proficiency with Python and familiarity with C++ Bonus Qu
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We are looking for a Software Engineer to join our Product team in Vancouver, where we build features end-to-end, from designing our data models to implementing the subtle interaction behaviors that differentiate good software from great software. In this role, you won’t just code—you will be an integral part of the entire product development process from conception to post-launch reflection, manifesting continuous improvements to help us achieve our mission of enabling all teams to work together effortlessly. Partnering closely with UI designers and supported by our infrastructure team, you will aim to delight users with both large new features and daily product enhancements through our continuous deployment architecture. If you care deeply about building products that improve how millions of teams work together, we would love to hear from you. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Work in a high-performance, dynamic team with a strong focus on velocity and software quality. Contribute to building a complex SaaS application that is a market leader in its segment. Gain exposure to Asana’s core infrastructure, particularly how data is represented, stored, and deleted in the storage layer. Work with asynchronous jobs and implement algorithms that efficiently traverse the Asana Work Graph. Partner with legal to implement data ownership rules, requiring simple and effective technical solutions to make this process easy and clear to customers. Drive large, impactful projects, delivering features that will be rolled out and used in large organizations. Support and collaborate with othe
Head-Project will lead the end-to-end execution of large-scale data center construction projects, ensuring alignment with AdaniConneX’s vision of building a 2GW environmentally and socially conscious data center infrastructure platform by 2030. This role is pivotal in delivering state-of-the-art facilities that meet global benchmarks in design, engineering, and operations, leveraging Adani Group’s expertise in mega-structure construction and EdgeConneX’s global standards. The incumbent will drive project excellence in quality, safety, and timely delivery while managing multidisciplinary teams and stakeholders. Source: Adani Group | Job ID: 51061
Zoox is looking for an experienced software engineer to work on large-scale simulation pipelines used to validate the behavior of the Zoox self-driving vehicle. These are data and GPU intensive workloads built on Ray.io and Kubernetes. Given the massive scale and criticality of these pipelines, ensuring their reliability and efficiency has a significant impact on the company's ability to safely and quickly iterate on autonomy development. We are a small, scrappy team within the larger Autonomy organization. Although this role primarily involves off-vehicle pipelines, you will work closely with engineers developing the on-vehicle algorithms and models in our autonomy stack. We stay close to the end users - autonomy engineers - and think about the end to end use case for these validation pipelines. This is a hands-on role with a high degree of independence and ownership. You will be expected to contribute towards the framework’s architecture, reliability, efficiency, and grow its capabilities to support new use cases. You should have a track record of keeping production systems running with high availability. Experience with robotics or autonomous systems is not required but an understanding of the robotic data lifecycle is preferred. In this role, you will: Improve the cost efficiency, reliability, and performance of our validation and simulation pipelines Create production-grade APIs, SDKs, and tools to enable a varied set of validations of autonomous behaviors Improve the ML training pipelines supporting the autonomous behavior org Qualifications Bachelor’s degree in Computer Science or related field and 6+ years of industry experience Experience optimizing large-scale distributed systems for cost and efficiency Experience with AWS or similar providers Proficiency with Python and familiarity with C++ Bonus Qu
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: You will oversee mechanical contractors and crews building the advanced mechanical infrastructure for SpaceXSI's Data Centers — including large-scale HVAC and cooling systems, chilled water plants, condenser water systems, process piping, pumps, CRAC/CRAH units, cooling towers, and fire protection systems. If you thrive on hands-on leadership, complex industrial mechanical construction, and contributing to high-impact AI infrastructure, join us to help deliver one of the most advanced and efficient data centers in the world. This is a full-time, onsite role based in Memphis, Tennessee, with relocation required depending on additional construction locations within the US. RESPONSIBILITIES: Oversee and coordinate mechanical installations including chilled water piping, condenser systems, HVAC equipment, cooling towers, pumps, heat exchangers, ductwork, CRAC/CRAH units, and fire suppression systems for SpaceXSI Data Centers. Manage and schedule mechanical contractors, subcontractors, and on-site crews to deliver project milestones on time and to SpaceXSI's exacting quality and reliability standards. Ensure all contractors adhere to mechanical scope, delivering high-
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Manager, Data Center Operations, you'll help us scale our Core Data Center and hardware infrastructure at a time of incredible growth for our business. At Roblox, you'll have boundless opportunities to shape the future of the Imagination Platform™ and demonstrate your passion for delivering thoughtful solutions in front of a global audience. If you know what it takes to build and operate hardware infrastructure that can sustain millions of concurrent players year-round and you take play as seriously as we do, you'll fit right into our highly experienced and ever-expanding engineering team. You will report to the Senior Manager of Data Center Operations. This will be a position based in Goodyear, AZ. You will: Develop and maintain the Core Data Center and hardware infrastructure to meet the large-scale and real-time requirements of our Imagination Platform™ to ensure our community has an awesome experience anywhere in the world. This includes all aspects of the server, network infrastructure, power, and environmental monitoring. Lead a growing team of data center engineers focusing on rack deployments, hardware troubleshooting and break-fix, and decommissioning. Identify and solve criti
Band 6 CT Radiographer – Essex We are currently supporting a large NHS trust in Essex with the recruitment of two Band 6 CT Radiographers to support service delivery within a busy Radiology department. This is a locum opportunity working within a well-established CT service, covering long day shifts (08:00–20:00) . The department is well supported with experienced staff and modern equipment, offering a fast-paced but collaborative working environment. Key requirements: HCPC-registered Radiographer Proven experience working independently within CT Hands-on experience operating Siemens CT scanners (essential) Confident with contrast studies and standard CT protocols Ability to work efficiently within a high-throughput NHS setting Contract details: Start date: Early February 2026 Initial contract until end of March 2026 (with potential extension) Location: Essex Number of posts: 2 This role would suit CT Radiographers looking for a stable short-term contract within a reputable NHS department.
The Position will be responsible for financial reporting of large manufacturing company in non-ferrus Source: Adani Group | Job ID: 40254
Join Artefact Belgium: Shape the Future of Generative AI and Large Language Models (LLMs) Are you an early-career professional excited to harness the power of generative AI and Large Language Models (LLMs)? Artefact Belgium is seeking a Data Scientist - Gen AI to join our innovative team in Brussels. Our Belgian team specializes in LLM and GenAI projects, and this is your chance to work on cutting-edge solutions, collaborate with top-tier experts, and contribute to impactful projects in a dynamic, forward-thinking environment. Who You Are A recent graduate or professional with 1 to 3 years of experience, with hands-on experience working with LLMs and a passion for generative AI and NLP. Motivated to apply your technical expertise to real-world challenges in AI. Able to thrive in collaborative settings while independently driving your own workstreams. Eager to learn, grow, and push the boundaries of what's possible in AI innovation. Who We Are Artefact is a leading Data & AI consulting firm operating at the forefront of AI innovation. With a global presence, we help clients across industries—public health, manufacturing, etc. —leverage generative AI to achieve transformative outcomes. Our team in Belgium is specialized in LLM and GenAI projects, working on the most advanced applications of these technologies. At Artefact, we foster a culture of innovation, collaboration, and continuous learning, with a strong commitment to inclusivity and employee growth. What You Will Do Collaborate with the team to design, train, and fine-tune state-of-the-art models for client projects and internal tools. Develop and integrate agentic AI solutions using tool calling, and emerging protocols like Model Context Protocol (MCP) to create autonomous, context-aware applications. Research and implement innovative generative AI applications to solve complex business problems. Design and implement comprehensive evaluation frameworks to measure LLM performance, establishing q
Join Artefact Belgium: Lead the Future of Generative AI and Large Language Models Are you a seasoned AI professional with a passion for generative AI and Large Language Models (LLMs)? Artefact Belgium is looking for a Senior Data Scientist - Gen AI to drive innovation and lead cutting-edge projects. If you have at least four years of experience in AI and consulting, combined with a talent for project and team management, we invite you to shape the future of LLM-driven solutions with us in Brussels. Who You Are Experienced professional: At least 4 years of experience in AI, with a strong background in consulting and delivering impactful projects for diverse clients. Leader and collaborator: Proven experience managing teams, guiding junior colleagues, and fostering collaboration in multidisciplinary environments. Innovative thinker: Able to identify emerging trends in generative AI and apply them to real-world challenges. Results-oriented: Comfortable handling end-to-end project delivery, from ideation and development to deployment and client engagement. Eager to grow: Passionate about advancing your expertise in LLMs and generative AI while mentoring others. Who We Are Artefact is a leading Data & AI consulting firm at the forefront of AI innovation. With a global presence, we collaborate with top-tier clients across industries, including healthcare, manufacturing, and media, to harness the transformative power of generative AI. Our team in Belgium is specialized in LLM and GenAI projects, working on the most advanced applications of these technologies. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth. What You Will Do Lead and deliver LLM projects: Manage the design, development, and deployment of advanced LLM-powered solutions, including RAG systems, agentic AI architectures, and multi-modal applications for our clients. Drive technical excellence: Architect and deploy advanced AI systems leveraging cuttin
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the Role: We are building the high-performance inference platform that serves Grok to millions of users every day with lightning speed and perfect reliability. As a Member of Technical Staff - Inference, you will design and optimize large-scale model serving systems end-to-end. You will own everything from distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding, tail latency). This is a high-impact role where your work directly determines how fast and reliably users interact with Grok at massive scale Responsibilities: Architect and implement scalable distributed infrastructure for model serving (load balancing, auto-scaling, batch scheduling, global KV cache). Optimize latency and throughput of model inference under real production workloads. Build reliable, high-concurrency serving systems that serve billions of users with 100% uptime, 0% error rate, and excellent tail latency. Benchmark, fine-tune, and accelerate inference engines (including low-level GPU kernel work and code generation). Develop custom tools to trace, replay, and fix issues acr
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed AI Engineers work directly with customers owning Gen AI strategy and implementation. On a daily basis, you will build end-to-end workflows, take them to production, and solve real world problems at the largest scale. You will have ample opportunity to contribute learnings from the field back to the Palantir AIP product suite. You will be on the forefront of extending Palantir's existing footprint and strategy into new markets and problem spaces opened up by Gen AI. Core Responsibilities Forward Deployed AI Engineers’ responsibilities look similar to those of a hands-on AI startup CTO: you’ll work in small teams to own delivery of high stakes projects with clients. A day’s work may include building LLM workflows on a large scale, interacting with customers to understand their needs and set their AI strategy, but the most impact will be driven by implementing solutions into the real world of our partner's organisations. Do you aspire to be an entrepreneur or an Applied AI leader? We believe Palantir is the best place — with the best colleagues — to learn how! What We Value Engineering mindset, focused on delivering production solutions with Gen AI, data processing pipelines, and advanced analytics tools. Solving real business problems, not academic benchmarks. Ability to collaborate efficiently in teams of technical and non-technical individuals. Comfort working in a dynamic environment with evolving objectives and direct iteration with users. What We Require Past experience building solutions with LLMs and a deep understanding of overall Gen AI landscape. Strong foundation in Machine
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed AI Engineers work directly with customers owning Gen AI strategy and implementation. On a daily basis, you will build end-to-end workflows, take them to production, and solve real world problems at the largest scale. You will have ample opportunity to contribute learnings from the field back to the Palantir AIP product suite. You will be on the forefront of extending Palantir's existing footprint and strategy into new markets and problem spaces opened up by Gen AI. Core Responsibilities Forward Deployed AI Engineers’ responsibilities look similar to those of a hands-on AI startup CTO: you’ll work in small teams to own delivery of high stakes projects with clients. A day’s work may include building LLM workflows on a large scale, interacting with customers to understand their needs and set their AI strategy, but the most impact will be driven by implementing solutions into the real world of our partner's organizations. Do you aspire to be an entrepreneur or an Applied AI leader? We believe Palantir is the best place — with the best colleagues — to learn how! What We Value Engineering mindset, focused on delivering production solutions with Gen AI, data processing pipelines, and advanced analytics tools. Solving real business problems, not academic benchmarks. Ability to collaborate efficiently in teams of technical and non-technical individuals. Comfort working in a dynamic environment with evolving objectives and direct iteration with users. What We Require Past experience building solutions with LLMs and a deep understanding of overall Gen AI landscape. Strong foundation in Machine
P-931 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. At Databricks, the Compute Infrastructure organization builds and operates the foundation that runs all Data, AI and stateful workloads across all major clouds. Our platform launches tens of millions of VMs per day, operates thousands of Kubernetes clusters, and must deliver extreme elasticity, reliability and cost efficiency. We are looking for an Engineering Manager to lead a team responsible for critical components of this platform. Your work will directly influence product velocity, customer experience, and the company’s ability to scale. The impact you will have: Own and evolve the compute platform to support all Databricks workloads , enabling engineers to build world-class products with high velocity and best-in-class performance. Hire exceptional engineers and invest in their growth through coaching, feedback, and career development. Raise the technical and operational bar through strong design practices, testing, and a culture of engineering excellence and platform mindset . Partner with engineering and product leadership to define long-term strategy and roadmaps. Lead cross-team initiatives that span product and infrastructure surface areas. Influence architectural decisions beyond your immediate team. What we look for: 10+ years of experience building and operating large-scale distributed systems , including strong prac
Become a part of our caring community The Network Operations Coordinator 4 manages provider data for health plans including but not limited to demographics, rates, and contract intent. Manages provider audits, provider service and relations, credentialing, and contract management systems. Executes processes for intake and manage provider perceived service failures. Decisions are regarding the daily priorities for an administrative work group and/or external vendors including coordinating work activities and monitoring progress towards schedules/goals, and often oversees work of others and/or is the primary administrative owner of a main process, program, product or technology. Works within broad guidelines with little oversight. Use your skills to make an impact Required Qualifications Minimum of 2 years of provider relations experience, healthcare services or related experience Minimum of 1 year of experience managing mid to large scale projects Intermediate experience in Microsoft Word, Outlook, Excel (VLOOKUP’s, lateral lookups & ability to manipulate data) and TEAMS Ability to accommodate a work schedule following Central Standard Time zone hours Preferred Qualifications Advanced experience with Microsoft Excel Provider contract interpretation experience Previous account management or project management Knowledge of medical claims Work at Home Requirements: To ensure Home or Hy
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