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About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking a Senior Mechanical Engineer to lead the design, integration, and sustaining engineering of mechanical subsystems in robotic platforms. You will work closely with experienced engineers and cross-functional partners to set functional requirements, develop and iterate on hardware to meet program expectations. This role is aimed at candidates with strong fundamentals in mechanical system design — including tolerance, alignment, load paths, wear, and failure modes — and robotics. You will contribute to real hardware programs moving from prototype through early production. You will lead both new subsystem development and ongoing improvements to existing systems based on testing, field performance, and manufacturing feedback. This role is based in San Francisco, CA, and requires in-person presence 4 days a week. In this role, you will Lead the design and iteration of mechanical subsystems, including structures, mechanisms, and actuators. Create and maintain CAD models, assemblies, and drawings with appropriate tolerancing and documentation. Build and test prototypes, supporting debugging of mechanical issues such as fit, alignment, friction, and wear. Assist in developing test methods and executing validation to evaluate performance, durability, and failure modes. Work with cross-functional teams to integrate mechanical components with sensors, actuators, and control systems. Support transition of designs from prototype to manufacturable assemblies, incorporating DFM and DFA considerations. Collaborate with manufacturing partners

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are hiring a Sim Infrastructure Engineer to turn simulation systems into reliable, automated, production-quality pipelines that power model training, evaluation, and hardware-in-the-loop validation. This role owns the automation, orchestration, and tool integration that apply simulation to concrete robotics tasks: building CI/CD for SIL/HIL, presubmit checks, automatic model evaluation, metric computation and reporting, and the runtime infrastructure to run simulations at scale. You will collaborate closely with Sim Realism, Sim Environments, Research, and Ops to make simulation an integrated, reproducible, and measurable part of our ML and robotics workflows. This role is based in San Francisco, CA, and requires in-person 4 days a week. In this role, you will: Build and maintain presubmit checks, continuous integration and deployment pipelines for simulation code, environments, and tasks so simulation artifacts are testable, versioned, and reproducible. Implement end-to-end automation to run model evaluation in sim (SIL) and orchestrate HIL runs; compute realism and task metrics, generate dashboards and alerts, and ensure evaluation is repeatable and auditable. Create robust APIs and connectors so research, training, and data-collection systems can schedule, seed, and evaluate batches of simulations; support RL rollouts, imitation-data collection, and presubmit model checks. Build scheduling, batching and orchestration for running very large numbers of concurrent rollouts (target tens of thousands of rollouts / large RL workloads), sol

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 are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role As a Security Engineer, Application Security you will be responsible for identifying and mitigating security vulnerabilities within software applications through building security tools, code reviews, penetration testing, and security assessments. We’re looking for people who will work closely with development teams to ensure secure coding practices are integrated throughout the software development lifecycle, preventing security risks before they emerge. You will also provide security guidance to developers and other stakeholders, fostering a culture of security awareness within the organization. The role is preferred to be based in San Francisco, Seattle or New York City but may consider remote work. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Perform Security Assessments : Conduct regular security assessments, code reviews, and penetration testing to identify vulnerabilities in applications and software. Develop and Implement Security Tools : Design, develop, and implement security tools, frameworks, and methodologies to protect applications against security threats. Collaborate with Development Teams : Work closely with development teams to ensure security best practices are integrated throughout the software development lifecycle (SDLC), including secure coding guidelines. Threat Modeling and Risk Assessment : Conduct threat modeling and risk

About the Team The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role As a Research Engineer, Distributed Data Systems, you will design and scale the infrastructure that powers large-scale multimodal training and evaluation at OpenAI. You’ll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for OpenAI's rapid iteration cycles. We’re looking for engineers who are detail-oriented, have strong experience with distributed systems, and excel at building reliable infrastructure in high-stakes environments. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security. Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient. Partner with researchers to deeply understand requirements and translate them into production-ready systems. Harden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation. You might thrive in this role if you: Have strong experience with distributed systems and large-scale infrastructure with a strong interest in data. Are detail-oriented and bring rigor to building and maintaining reliable systems. Demonstrate excellent software enginee

About the Team The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. Our mission is to push the frontier of code generation and agentic reasoning, and deploy these capabilities in real-world products such as ChatGPT and the API, as well as in next-generation tools specifically designed for agentic coding. We operate across research, engineering, product, and infrastructure—owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. About the Role As a Performance & Systems Engineer on the Codex team, you will be responsible for whole-system optimization across a complex, evolving stack. Codex spans LLM inference, cloud orchestration, agentic work management, and multiple product surfaces. Your job will be to identify and land high-leverage changes—across infrastructure, modeling, and product layers—that make Codex agents significantly faster and cheaper to serve. We’re looking for generalists who thrive in ambiguity and love chasing performance bottlenecks to ground. This is a high-ownership role where your work will directly improve the experience of millions of users. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Hunt down and address inefficiencies across the Codex system stack, from agent behavior to LLM inference to container orchestration, and beyond. Build tooling to measure, profile, and optimize system performance at scale. Collaborate with researchers and engineers to land high-ROI changes that improve latency and cost. You might thrive in this role if you: Have experience operating across both ML systems and cloud infrastructure. Enjoy diving into messy, ambiguous problems and emerging with clear wins. Think holistically about performance, balancing spee

We are seeking a skilled and adaptable Field Applications Engineer to act as a key technical liaison between internal teams and our venue partners. In this role, you will support the deployment, integration, and performance of Topgolf’s custom hardware and electronics products, working closely with our hardware and software engineering teams, product management, quality engineering, and customer support. You will also collaborate directly with venue operations and customer engineering teams to ensure our systems are seamlessly installed, calibrated, and supported in the field. This position also includes generating quick-turn engineering drawings, CAD models, and specifications to help streamline deployment activities and reduce load on core engineering teams—contributing both field insight and technical documentation agility. The ideal candidate thrives in fast-paced, cross-functional environments and is passionate about solving real-world engineering challenges in live venue settings. Job Responsibilities Collaborate with hardware and software engineering teams to ensure successful design validation and deployment of custom hardware solutions at Topgolf venues. Act as a critical conduit between product management, quality engineering, and customer support to integrate field feedback into ongoing product improvements. Partner directly with venue operations and customer engineering teams to install, configure, test, and troubleshoot hardware and system integrations on-site. Support the end-to-end rollout process—from pilot validation to full-scale venue deployment—while maintaining quality and performance expectations. Investigate and resolve system-level issues in field deployments, identifying root causes and working with engineering to develop permanent solutions. Document best practices, common field issues, and integration workflows to improve future deployments and knowledge sh

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities include but are not limited to the following: Team oriented approach to create new strategies for DRAM DFT. New DRAM Test Flow Strategy. Fail Pattern Recognition. Improved methodology for test time reduction and improved quality. Assist in solutions to high visibility DRAM product issues. Create supporting software tools to assist in Engineering Analysis. Invent and Innovate anything and everything related to DFT. Employer will accept a Bachelor’s degree in Electrical Engineering, Computer Science, Electrical and Computer Engineering or related field. Position requires: 1) CMOS circuit knowledge 2) Basic programming skills in Python, Java, C or C&#43;&#43; 3) DRAM knowledge 4) Statistics 5) Basic lab experience or equivalent applied software profiling/analytics As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays.<s

Leidos is looking for our next TS/SCI-cleared Elastic Search Engineer to join a high-energy team building and deploying a cutting-edge technology stack to support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise. We integrate off the shelf and newly development software to sustain and enhance the TCPED platform. We leverage cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members. DTP advances the state of the art in mission-focused big data analytics tools and micro-service development spanning the breadth of Agile sprints to multiyear research and development cycles. As an Elastic Search Engineer, you’ll be a member of our platform engineering team and help develop, deploy and maintain nosql databases as foundational elements of our microservice eco-system using a Kubernetes as foundational platform. You’ll also support the adoption of GitOps best practices across cross-functional engineering teams. In this fast-paced environment, you’ll collaborate closely with systems engineering, architecture, development, security, operations, and integrations teams. Work is conducted on-site at our client location in Bethesda, MD. Key Responsibilities Include: Deploy, triage, debug, and maintain production class databases like Elasticsearch and Redis Design and support database configuration management strategies across air-gapped network fabrics Partner with Systems Engineers to architect solutions for new capabilities Contribute to operational monitoring capabilities to provide proactive system notifications Contribute technical input to engineering documentati

Position Overview As a Solutions Engineer at Diligent, you will partner closely with Sales to help organizations understand how our platform can transform the way they identify and mitigate risk, perform audits, strengthen controls, and operationalize broader GRC programs. You’ll independently lead the SE workstream on small to mid-sized opportunities, while partnering with more senior Solutions Engineers on complex, multi-pillar deals, acting as a trusted partner to customer stakeholders and helping translate Risk & Audit and broader GRC challenges into clear, compelling solutions that drive business value. If you enjoy combining domain expertise, storytelling, solution design, and customer interaction and are looking to build your career in a commercial, customer-facing environment, this is a strong next step. Key Responsibilities Customer & Commercial Partnership Partner with Sales to lead the full pre-sales lifecycle for small to mid-sized opportunities, helping customers understand how Diligent solves real-world risk, audit, and control management challenges. Deliver independent, well-prepared, tailored software demonstrations that clearly articulate business value, while seeking coaching and feedback from senior team members for continuous improvement. Engage confidently with stakeholders across Internal Audit, Risk, Compliance, IT, Controls, and Governance teams, owning day-to-day customer conversations and escalating to senior SEs for high-risk or complex topics as needed. Translate customer pain points into clear solution narratives, including outcomes and success criteria, to support deal progression and closure. Own the technical win for small to mid-sized opportunities, and contribute to the technical strategy on larger, multi-stakeholder deals in partnership with senior SEs. Solution Design & Thought Leadership Design and present solu

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Automation Engineer – JLL What this job involves: We are seeking an experienced Automation Engineer to design, develop, and implement automation control systems for industrial processes and warehouse distribution equipment. The role requires strong knowledge of engineering principles, programming, and control system technologies, with a focus on improving the reliability and performance of conveyors, sortation systems, scanners, cameras, print-and-apply systems, and SCADA devices. All work must follow established policies and procedures, with safety as a top priority. What your day-to-day will look like: Serve as site technical expert in automation control systems and mentor Apprentices to meet safety and technical standards. Design, develop, implement, and optimize control systems and software; maintain and troubleshoot equipment including PLC/PC controllers and industrial networks. </

Job Details: Job Description: Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone. Want to learn more? Visit our YouTube Channel or the link below. Life at Intel The Role and Impact As a System Software Architect, you will play a pivotal role in designing and developing innovative software solutions that drive efficiency and scalability across Intel's manufacturing processes. You will be responsible for architecting robust systems and frameworks that enhance operational performance while ensuring seamless integration with existing technologies. Your contributions will directly impact Intel's ability to deliver world-class semiconductor products efficiently and reliably. Business Group Intel Foundry Services is at the forefront of manufacturing excellence, delivering cutting-edge solutions to meet the complex demands of the semiconductor industry. The group focuses on pioneering advancements in manufacturing technologies, infrastructure optimization, and secure operations, enabling Intel to stay ahead in a fast-evolving landscape. By joining this team, you will contribute to Intel's broader mission of solving technological challenges and empowering innovation worldwide. Key Responsibilities: - Architect scalable and efficient system sof

Leidos is looking for our next TS/SCI-cleared Elastic Search Engineer to join a high-energy team building and deploying a cutting-edge technology stack to support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise. We integrate off the shelf and newly development software to sustain and enhance the TCPED platform. We leverage cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members. DTP advances the state of the art in mission-focused big data analytics tools and micro-service development spanning the breadth of Agile sprints to multiyear research and development cycles. As an Elastic Search Engineer, you’ll be a member of our platform engineering team and help develop, deploy and maintain nosql databases as foundational elements of our microservice eco-system using a Kubernetes as foundational platform. You’ll also support the adoption of GitOps best practices across cross-functional engineering teams. In this fast-paced environment, you’ll collaborate closely with systems engineering, architecture, development, security, operations, and integrations teams. Work is conducted on-site at our client location in Bethesda, MD. Key Responsibilities Include: Deploy, triage, debug, and maintain production class databases like Elasticsearch and Redis Design and support database configuration management strategies across air-gapped network fabrics Partner with Systems Engineers to architect solutions for new capabilities Contribute to operational monitoring capabilities to provide proactive system notifications Contribute technical input to engineering document

Job Title Remote Service Engineer Job Description Serve as the frontline remote technical expert, delivering rapid diagnostics and issue resolution for healthcare customers and field teams while minimizing onsite service through advanced troubleshooting and escalation management. Your role: Provide remote technical support and diagnostics to healthcare customers and field partners using advanced remote access technologies. Respond to customer inquiries as a Philips representative, delivering timely and accurate troubleshooting support. Resolve service issues by leveraging internal tools, systems, and knowledge resources. Escalate complex product issues to higher-level support for further evaluation and resolution. Utilize remote capabilities to efficiently resolve issues and reduce the need for onsite service dispatch. You're the right fit if: You’ve acquired 5&#43; years of remote software system experience along with a solid background in structured query language (SQL) and Windows server environments. Your skills include computer networking, technical solutions authoring, and the ability to solve mechanical and electrical issues. You have an associates degree or higher, technical discipline preferred. You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this Field Service position. You’re a team player who is versatile and keen to work with a variety of Philips products. How we work together We believe that we are better together than apart. For

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Responsibilities and Duties We are seeking a highly skilled System Tests & Diagnostics Engineer to develop, extend, and integrate specialized silicon validation and diagnostics tools for next-generation AI SoCs. Unlike traditional validation roles focused on executing test plans, this position is responsible for developing the diagnostic software and stress tools that expose hardware failures, characterize silicon behavior, and improve platform observability throughout bring-up and validation. You will work closely with Arm engineers to understand and extend existing diagnostics technologies while developing Graphcore-specific capabilities for future AI hardware. Role Summary You will work with existing Arm-developed diagnostics technologies and extend them to support Graphcore's next-generation AI silicon. You will be responsible for developing system-level diagnostics and stress tools that integrate with an existing framework to detect data integrity, computational correctness, performance, and reliability issues across CPUs, AI accelerators, memory, storage, PCIe, firmware, BMC, and other platform components. Examples include silent data corruption (SDC) tests, power transient stress tools, and platform diagnostics, with opportunities to develop new diagnostics as future hardware capabilities evolve. This role requires close collaboration with hardware architects, firmware enginee

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that provide the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing transformative technologies. Our AI Engineering Campus in Austin plays an important role in building the hardware platforms that support the next generation of AI systems. The Opportunity We are looking for a recent graduate or early-career engineer to join the Hardware Platform Development team as a Graduate Systems Engineer. You will contribute to the design, integration, validation, and performance analysis of advanced AI compute platforms. You will work with experienced hardware, firmware, software, mechanical, thermal, and systems engineers throughout the development lifecycle. The role combines subsystem engineering, hands-on laboratory work, test automation, data analysis, troubleshooting, and clear technical documentation. Start: September, 2027 Location: Austin, Texas, USA What You Will Do Contribute to the design, integration, and testing of CPU and high-speed input and output subsystems for advanced compute platforms. Take ownership of defined engineering tasks from requirements and test planning through execution, analysis, and technical review. Develop system-level validation plans, procedures, scripts, and tools that improve test coverage, repeatability, data collection, and analysis. Evaluate platform performance, power, signal behavior, reliability, and interoperability using laboratory measurements and system data. Investigate emerging input and output technologies, including PCIe 6.0 and 800G Ethernet, and assess their use in advanced computing systems. Support platform power, cooling, and energy-efficiency investigations, including liquid-cooling systems for high-performance processor