Mental Well Being Travel Representative Jobs

Senior Tooling Engineer About the Role The Senior Tooling Engineer is responsible for leading and optimizing tooling development from initial tooling design through mass production sustaining with ODMs (Original Design Manufacturers) and CMs (Contract Manufacturers). This role plays a critical part in ensuring that tooling design meets strict quality, throughput, and cost targets while driving Design for Manufacturing (DFM) and Design for Assembly (DFA) in close collaboration with internal Mechanical Engineering, Quality, and Supply Chain teams. The ideal candidate possesses deep hands-on expertise in plastic injection molding, sheet metal stamping, die casting, hydroforming, and tooling fabrication processes, along with proven cross-functional communication and supplier management skills. Your Daily Impact at Peloton DFM & Engineering Collaboration: Collaborate with cross-functional engineering teams (ME, ID, Hardware, Quality) to conduct robust DFM/DFA reviews, guiding process selection, material selection, and tooling qualification plans. Tooling Design & Validation: Lead technical reviews for tooling designs, mold layouts, and drawings (including Moldflow simulation, gate placement, cooling, parting lines, and ejector pin layouts). Validate tooling designs with suppliers and toolmakers to proactively troubleshoot issues. NPI Execution: Drive tooling deliverables across all Hardware Product Development phases (Alpha, EVT, DVT, PVT) to support key NPI programs, ensuring timely OK2TOOL and OK2FAB approvals. Supplier & ODM/CM Management: Work closely with ODMs and CMs to manage tooling build progress, trial runs (T1/T2), root cause troubleshooting, and yield improvements on the manufacturing floor. Maintenance & Tooling Audits: Establish and maintain supplier-facing tooling maintenance standards and asset management procedures. Conduct on-site supplier and tooling audits to ensure quality maintenance and mold longevity. PPAP & Quality Alignment:

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Senior Manager, Additive Fleet is responsible for the day-to-day performance of Hyliion's laser powder bed fusion (LPBF) printer fleet in Austin, which produces the complex, high-density metal heat exchanger hardware in the KARNO Core. This hardware can only be produced through metal additive manufacturing, so Hyliion's ability to build KARNO at scale depends directly on the health, uptime, and throughput of the fleet. The role leads the technicians and operators who run and maintain the machines, and owns preventive maintenance strategy, machine health monitoring, and decisions on hardware and software upgrades. The fleet runs the full range of Colibrium Additive LPBF platforms, including new machine technology being adopted in real time, and a primary focus is reducing machine-to-machine variation and building repeatable processes across machine models. This is a hands-on leadership role with regular time on the shop floor, and its scope will grow as Hyliion's print capacity scales. AI at Hyliion At Hyliion, AI is core to how we work. We equip every team member with leading AI tools and count on you to use them — to move faster, solve harder problems, and help us realize the full potential of KARNO technology for the world. Duties and Responsibilities Own fleet uptime and drive continuous improvement in machine-to-machine consistency across Hyliion's LPBF printer fleet. Build and maintain a preventive maintenance program across all machines to identify failure modes before they cause downtime. Lead, schedule, and develop the team of technicians and operators who run and maintain the fleet. Develop machine health monitoring us

Cote Korean Steakhouse, located in the Miami Design District, is the carnivorous vision of proprietor Simon Kim that blends together the dining experience of Korean Barbeque together with the hallmarks of a classic American Steakhouse. Cote serves the highest quality USDA Prime beef accompanied by an impeccable 1200+ label wine list and a suite of classic-but-creative cocktails. We are professionals committed to ensuring exceptional hospitality and service to our customers. At COTE, we follow a simple mantra: 🥩 + 🔥 + 🍸 = 😊 Essential Job Duties & Responsibilities: Job duties and responsibilities include, but are not limited to the following: Sets up and breaks down work stations including the dish slide before and after each shift. Cleans and sanitizes all areas and surfaces of the restaurant including the exterior. Polishes all glass, metal, and shiny services to a perfect shine. Collects all wares and supplies found while cleaning the restaurant and turns them into Management or Sous Chefs. Cleans and sanitizes all restaurant equipment such as ice machines, refrigerators, water machines, stoves, ovens, fryers, and dish washers. Cleans and sanitizes all dirty glassware, flatware, plate ware, kitchenware, and grill parts for cleaning before, during, and after service. Sets up and breaks down all dining room grills including degreasing the interior wells and polishing all brass surfaces to a perfect shine. Removes cracked or defective items from service and informs management. Ensures no watermarks, stains, lint, or other debris remain on restaurant products. Polishes all metallic grill rims, grill equipment, and kitchen pots and pans using metal polish. Polishes all glassware to a perfect shine prior to restocking in the dining room. Trash sorting (compost, recycling, and garbage) and disposal. Maintains cleanliness and appearance of the dish pit area at all times. Descales and cleans dish washing equipment and machinery at the direction of Sous C

About the Team Compute Foundations builds the software that manages OpenAI’s GPU compute infrastructure across sites, data centers, and infrastructure providers, supporting model training and inference. Our systems turn large, heterogeneous fleets of machines into dependable compute for research and products. We build Kubernetes-based control planes, controllers, services, and APIs that coordinate the lifecycle of machines and clusters. We connect global infrastructure management with the realities of bare-metal systems, giving clients consistent interfaces across differences in hardware, topology, and provider behavior. About the Role You will build distributed systems that provision, configure, and manage compute throughout its lifecycle. Your work will connect global services and Kubernetes controllers with the systems that bring machines online, update them safely, and recover them when something goes wrong. This role combines software architecture with an understanding of how machines and data centers work. You might design a lifecycle API, improve controller performance under high concurrency and provider rate limits, or trace a provisioning failure from an API through reconciliation to network boot or host configuration. You will help these systems remain reliable as the fleet expands across sites and generations of GPU hardware. We value depth in relevant systems and the ability to connect layers. You do not need to arrive as an expert in every component of the stack. In this role, you will: Design, build, and operate Kubernetes-based controllers and distributed services that coordinate infrastructure across sites, isolate failures, and scale as GPU capacity grows. Define APIs and resource models that let clients request and track lifecycle operations through consistent interfaces across hardware platforms and providers. Build provisioning and configuration services that coordinate network boot, hardware management interfaces, and the deployment of firmware,

We are seeking a Senior Software Engineer with strong infrastructure expertise to design, build, and operate the next generation of our enterprise Observability, Automation, and AI-driven Reliability Platform. This role will build highly scalable distributed systems and platform services spanning Storage, Compute, Network, VMware, OpenShift, and bare-metal infrastructure. The engineer will help transform infrastructure operations from reactive monitoring and manual remediation to proactive, predictive, and AI-driven autonomous operations. What You Will Be Doing: Design, build, and operate distributed software platforms for enterprise observability, telemetry, automation, and infrastructure reliability at large scale. Develop reusable platform services, APIs, automation frameworks, and control planes that enable self-service, reduce operational toil, and automate infrastructure operations across multiple engineering teams. Build scalable telemetry and event-processing systems spanning metrics, logs, traces, events, topology, and alerts, with the performance and efficiency to process billions of infrastructure signals. Build intelligent and AI-native reliability capabilities, including agentic workflows for anomaly detection, forecasting, root-cause analysis, automated debugging, and closed-loop remediation. Drive technical architecture and engineering direction across Storage, Compute, Network, and Platform domains, solving complex and ambiguous problems that span multiple teams. Engineer for production at scale, with strong focus on software quality, scalability, security, performance, observability, maintainability, and operational readiness. Provide technical leadership and mentorship, influence engineerin

NVIDIA is the defining technology company of the Artificial Intelligence era. Our legacy of innovation is powered by extraordinary technology—and extraordinary people. Achieving what has never been done before demands vision, innovation, and the world’s best talent! We are seeking a deeply technical Product Manager to shape the enterprise software stack for next-generation AI factories, built on NVIDIA’s industry-leading GPUs and purpose-designed CPUs. This includes bare-metal orchestration, Kubernetes-native services, and full-stack AI platform capabilities to power the enterprise AI factory. At NVIDIA, you will be part of a diverse, collaborative environment where everyone is inspired to do their best work. Join us and see how you can make a lasting impact on the world. NVIDIA’s Enterprise Product Group is a small, dynamic, and highly motivated team behind DGX systems and DGX SuperPOD—the platforms that established NVIDIA as the gold standard in AI development and deployment. By delivering turnkey, integrated solutions, the team helped transform NVIDIA from a GPU hardware vendor into a full-stack AI and data-center company. We are looking for a proven product leader with a strong track record of delivering enterprise platforms and the expertise to drive continued adoption of these solutions across global enterprises! What you'll be doing: Understand NVIDIA’s strategic position and deliver an enterprise computing platform recognized as the best in the industry. Own the complete solution lifecycle—from solution definition through development and go-to-market—for NVIDIA Mission Control software stack to drive adoption of the NVIDIA technologies in Enterprise market. Leverage strong technical background to define product requirements and user stories for solutions by channeling customer needs, solution-architecture feedback, and cross-team input within NVIDIA. Establis

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 The Palantir platform is deployed in numerous critical mission environments including combat zones and classified networks—from the back of a Humvee to a command post to the cloud. This means operating in multiple cloud environments, on-prem air-gapped networks, and at the edge—at scale. We are looking for Edge Infrastructure Engineers to build, operate, and maintain high-performance, scalable, and reliable services for our production infrastructure. This role demands a deep focus on low-level systems, including the deployment and management of physical bare metal servers in both traditional data centers and edge environments. You will be responsible for physical network engineering and the development of robust infrastructure that ensures performance of the Palantir platform. In addition to ensuring performance and reliability, you will play a critical role in building and scaling new environments in a forward-deployed capacity, including onsite. Edge Infrastructure Engineers combine hardware-level engineering experience with the drive to improve existing systems and the creativity to develop novel solutions for evolving challenges. Our team strives to automate processes wherever possible, using whichever tools are best for the job. We strongly believe in engineering teams being responsible for the operations of their services in production. In this role, you’ll work closely with engineers to advocate for and participate in sensible, scalable systems design, sharing responsibility for diagnosing, resolving, and preventing production issues across our most demanding deployments.

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 The Palantir platform is deployed in numerous critical mission environments including combat zones and classified networks—from the back of a Humvee to a command post to the cloud. This means operating in multiple cloud environments, on-prem air-gapped networks, and at the edge—at scale. We are looking for Edge Infrastructure Engineers to build, operate, and maintain high-performance, scalable, and reliable services for our production infrastructure. This role demands a deep focus on low-level systems, including the deployment and management of physical bare metal servers in both traditional data centers and edge environments. You will be responsible for physical network engineering and the development of robust infrastructure that ensures performance of the Palantir platform. In addition to ensuring performance and reliability, you will play a critical role in building and scaling new environments in a forward-deployed capacity, including onsite. Edge Infrastructure Engineers combine hardware-level engineering experience with the drive to improve existing systems and the creativity to develop novel solutions for evolving challenges. Our team strives to automate processes wherever possible, using whichever tools are best for the job. We strongly believe in engineering teams being responsible for the operations of their services in production. In this role, you’ll work closely with engineers to advocate for and participate in sensible, scalable systems design, sharing responsibility for diagnosing, resolving, and preventing production issues across our most demanding deployments. Core Responsibilities Maintaining availability of cloud & physical Ku

About the Team This team builds and operates the systems that enable OpenAI researchers to run reliable, scalable, and efficient research workflows. The team sits close to research and works across infrastructure, systems, and automation to make sure researchers have the tools and environments they need to move quickly. The work spans software engineering, infrastructure, systems administration, cluster operations, and reliability engineering. As OpenAI’s infrastructure evolves from bespoke bare-metal systems toward more standard, scalable platforms, the team needs engineers who can understand how systems work end-to-end and build the right abstractions without reinventing the wheel. About the Role As a Software Engineer on this team, you will build and operate the infrastructure that supports frontier research and critical research-facing systems. You will work on systems that sit close to the metal, but the role is not limited to classic operations or sysadmin work. We are looking for someone who can reason about networking, bootstrapping, Kubernetes, scalability, automation, and reliability - while also writing software to make these systems better over time. This role is a strong fit for an independent, high-ownership engineer who enjoys reliability-heavy infrastructure work but still wants to build. You do not need to come in as a kernel expert or highly algorithmic optimization engineer, but you should be deeply curious about infrastructure, comfortable debugging complex systems, and excited to support researchers doing novel work. We expect you to: Build and operate reliable infrastructure for research workloads and research-facing services. Support and improve systems across data infrastructure, processing, crawl and ingest, caching, search, observability, and clusterwide services. Improve cluster bootstrapping, provisioning, automation, and deployment workflows. Debug issues across networking, compute, storage, orchestration, and service reliability layers.

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but operational in how we execute, and we support every product and research effort at OpenAI. Our tenets include prioritizing for impact, enabling researchers and developers, preparing for future transformative technologies, and fostering a strong, collaborative security culture. About the Role OpenAI is seeking a Security Software Engineer to join the Infrastructure Security (InfraSec) team. InfraSec safeguards the core of OpenAI’s research and production environments—GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter spans everything from bare-metal hardware and firmware to Kubernetes clusters, service meshes, and the data pathways that carry highly sensitive model weights and user data. As a Security Software Engineer, you will design and build critical foundational services, such as authentication systems, egress/ingress proxies, access brokers, and key management platforms, that demand high standards of reliability, scalability, and software craftsmanship. These systems form the security backbone of OpenAI’s supercomputing environment and must remain robust under intense scale and adversarial pressure. In this role, you will: Architect and implement production-grade security services (e.g., auth services, access brokers, secure proxies, key-management infrastructure) that provide strong guarantees across hardware, operating systems, Kubernetes, networks, and CI/CD. Partner with infrastructure and research engineers to embed security into high-performance compute clusters, enabling rapid model training and deployment without compromising protection. Develop automation and detection tooling to continuously identif

About the Team: The Database Systems team specializes in high-performance distributed databases. Our team built Rockset, the real-time search, analytics, and vector database that powers all vector search and retrieval augmented generation (RAG) at OpenAI. In addition to retrieval, as an online database, Rockset powers core functionality across all of OpenAI's product lines and many critical internal use cases. About the Role : We are looking for engineers passionate about distributed systems, close-to-the-metal performance optimization (our core engine is written in C++), and building scalable database infrastructure from the ground up. As an engineer on the Database Systems team, you'll contribute to the core database engine, driving improvements across ingestion, query execution, indexing, and storage. You'll partner with teams across OpenAI to unlock new product capabilities and help scale online database reliability and throughput as usage grows by orders of magnitude. In this role you will: Design, build, and operate high-performance distributed systems Identify and resolve performance bottlenecks to scale infrastructure to the next order of magnitude Define long-term technical direction and guide system evolution Collaborate with product, engineering, and research teams to deliver scalable and reliable infrastructure Dig deep into complex production issues across the stack Contribute to incident response, postmortems, and best practices for system reliability You might thrive in this role if you: Have significant experience building, scaling, and optimizing distributed systems at scale Are curious about database internals, storage engines, or low-latency query systems Enjoy debugging challenging performance issues in complex, high-throughput systems Have experience operating production clusters at scale (e.g., Kubernetes or other orchestration systems) Think rigorously about scalability, correctness, and reliability Thrive in fast-paced environments with high

About the Team: Compute Infrastructure builds the platform that turns enormous amounts of compute into a reliable engine for frontier AI. We design, provision, schedule, operate, and optimize the systems that connect accelerators, CPUs, networks, storage, data centers, orchestration software, agent infrastructure, developer tools, and observability into one coherent experience for researchers and product teams. Our work spans the entire stack: capacity planning and cluster lifecycle, bare-metal automation, distributed systems, Kubernetes and scheduling, deep system optimization, high-performance networking, storage, fleet health, reliability, workload profiling, benchmarking, and the developer experience that lets teams use enormous compute systems with confidence. At this scale, small improvements to communication, scheduling, hardware efficiency, or debugging workflows can compound into meaningful research velocity. We are hiring across Compute Infrastructure rather than for a single narrow team, and we use this opening to match strong engineers to the problems where they can have the most leverage. About the Role We are looking for engineers who want to build the compute platform behind OpenAI's research and products. You may not be the strongest in low-level systems, high-performance computing, distributed infrastructure, reliability, CaaS, agent infrastructure, developer platforms, tooling, or the user experience around infrastructure. What matters is that you can reason carefully about complex systems, write durable software, and raise the quality and velocity of the people around you. Depending on your background and interests, you might work close to hardware, close to users, on CaaS and agent infrastructure, or on the control planes and data planes in between. You could help bring new supercomputing capacity online, optimize training workloads from profiler traces and benchmarks, improve NCCL and collective communication behavior, reason about GPUs, NICs, t

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but operational in how we execute, and we support every product and research effort at OpenAI. Our tenets include prioritizing for impact, enabling researchers and developers, preparing for future transformative technologies, and fostering a strong, collaborative security culture. About the Role OpenAI is seeking a Principal Software Engineer to join the Infrastructure Security (InfraSec) team. InfraSec safeguards the core of OpenAI’s research and production environments: GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter spans everything from bare-metal hardware and firmware to Kubernetes clusters, service meshes, and the data pathways that carry highly sensitive model weights and user data. As a Principal Software Engineer, you will set technical direction and drive execution of critical foundational services, such as authentication systems, egress/ingress proxies, access brokers, and key management platforms, that demand high standards of reliability, scalability, and software craftsmanship. These systems form the security backbone of OpenAI’s customer and supercomputing environment and must remain robust under intense scale and adversarial pressure. In this role, you will: Own the architecture and roadmap for one or more core security services (e.g., authN/Z, policy enforcement, secure proxies, key management), taking them from design to rollout to long-term operation. Design and implement planet-scale security systems that provide strong guarantees across hardware, operating systems, Kubernetes, networks, and CI/CD: balancing security, reliability, latency, and developer ergonomics. Lead cross-functional launches

REQUISITOS MANDATÓRIOS Conhecimento avançado em Microsoft Project, e demais ferramentas do Pacote Office, devendo ter domínio e aptidão para elaboração de relatórios e gráficos de tabelas dinâmicas em Microsoft Excel. Idioma: Inglês em nível intermediário. A proficiência na língua estrangeira será comprovada através de declaração da empresa ou de certificado de conclusão de curso e/ou treinamento. Para os profissionais de apoio técnico de fiscalização a FISCALIZAÇÃO DO CLIENTE, mandatório o conhecimento básico em atividades de pintura industrial; fabricação e montagem de tubulação metálica; fabricação e montagem de estrutura metálica. ESCOLARIDADE Grau de Instrução: Nível Técnico Técnico Mecânico; ou Técnico em Eletrotécnica; ou Técnico em Automação Industrial ATRIBUIÇÕES Apoiar a interação entre equipes da contratada, prestadoras de serviços e o cliente; Acompanhar diariamente o progresso dos serviços e reportar à fiscalização; Auxiliar na proposta de ações para atender o escopo e prazo, ajudando no controle das atividades; Contribuir com o planejamento, ajudando na criação de micro planejamentos mensais e bimestrais; Informar sobre ameaças ao escopo/prazo e registrar no RAM; Apoiar na elaboração de relatórios e garantir sua submissão para avaliação; Colaborar na programação de atividades com a equipe de planejamento, assegurando recursos; Acompanhar e ajustar o planejamento fornecido pelo cliente, mantendo comunicação com as equipes; Participar de reuniões diárias para coletar informações e ajustar a programação de serviços; Conduzir reuniões diárias para atualizar sobre a situação dos serviços e identificar impedimentos; Apoiar na análise da curva S do projeto e na identificação de planos de ação; Compartilhar informações com a equipe de Programação e Controle e ajudar na emissão de relatórios semanais; Auxiliar na qualidade das informações para o Relatório de Acompanhamento Mensal (RAM); Participar de auditorias e inspeções em campo para garan

REQUISITOS MANDATÓRIOS Conhecimento avançado em Microsoft Project, e demais ferramentas do Pacote Office, devendo ter domínio e aptidão para elaboração de relatórios e gráficos de tabelas dinâmicas em Microsoft Excel. Idioma: Inglês em nível intermediário. A proficiência na língua estrangeira será comprovada através de declaração da empresa ou de certificado de conclusão de curso e/ou treinamento. Para os profissionais de apoio técnico de fiscalização a FISCALIZAÇÃO DO CLIENTE, mandatório o conhecimento básico em atividades de pintura industrial; fabricação e montagem de tubulação metálica; fabricação e montagem de estrutura metálica. ESCOLARIDADE Grau de Instrução: Nível Técnico Técnico Mecânico; ou Técnico em Eletrotécnica; ou Técnico em Automação Industrial ATRIBUIÇÕES Apoiar a interação entre equipes da contratada, prestadoras de serviços e o cliente; Acompanhar diariamente o progresso dos serviços e reportar à fiscalização; Auxiliar na proposta de ações para atender o escopo e prazo, ajudando no controle das atividades; Contribuir com o planejamento, ajudando na criação de micro planejamentos mensais e bimestrais; Informar sobre ameaças ao escopo/prazo e registrar no RAM; Apoiar na elaboração de relatórios e garantir sua submissão para avaliação; Colaborar na programação de atividades com a equipe de planejamento, assegurando recursos; Acompanhar e ajustar o planejamento fornecido pelo cliente, mantendo comunicação com as equipes; Participar de reuniões diárias para coletar informações e ajustar a programação de serviços; Conduzir reuniões diárias para atualizar sobre a situação dos serviços e identificar impedimentos; Apoiar na análise da curva S do projeto e na identificação de planos de ação; Compartilhar informações com a equipe de Programação e Controle e ajudar na emissão de relatórios semanais; Auxiliar na qualidade das informações para o Relatório de Acompanhamento Mensal (RAM); Participar de auditorias e inspeções em campo para garan