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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 We’re looking for Forward Deployed Infrastructure Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for Palantir platforms, products, and deployments. You'll get to use your creativity to develop novel solutions to evolving challenges and automate processes wherever possible, using whichever tools are best for the job including industry-leading LLM and AI technology! As a Forward Deployed Infrastructure Engineer, every day is different! You will be developing software and owning reliability and operations for software systems that are critical to solving our government’s greatest challenges. We strongly believe in engineering teams being responsible for the operations of their services in production. As such, you’ll work closely with both forward deployed teams and product teams to participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues.

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 Lead Robotics Safety Engineer to define and lead the product safety strategy for our robotics program. You will work closely with leadership, engineering, research, legal, and policy teams to ensure safety is integrated into our products from the earliest stages of development through deployment. This role combines product safety, regulatory strategy, systems engineering, and risk management. You will help shape how we think about safety across robotic platforms, influence product architecture and development decisions, and ensure our systems are designed to meet both current and emerging regulatory expectations. You will serve as a subject matter expert on robotics safety standards, regulatory frameworks, and safety engineering practices while helping establish the long-term safety strategy for our products and organization. This role is based in San Francisco, CA. This role will be expected to be in office 4 days per week and offer relocation assistance to new employees. In this role, you will Define and lead the product safety strategy for robotic systems across the development lifecycle. Monitor and influence emerging regulatory frameworks, industry standards, and policy developments relevant to robotics and autonomous systems. Partner with engineering teams to translate safety requirements into product architecture, design decisions, and engineering requirements. Develop and maintain system-level hazard analyses, risk assessments, and safety cases for robotic products. Establish safety requirements, verification strat

About the Team At OpenAI, we’re building the connective tissue between our mission and our people. People Innovation Labs is a fast-moving engineering team embedded in the People organization, focused on rethinking how we find and retain the best talent and empower everyone to do their best work. From recruiting to culture, we’re designing systems that give our People Team a significant edge by infusing OpenAI’s models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We’re defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation. About the Role We’re seeking a Data Engineer to build data-intensive systems that will power People Innovation Labs’ internal products and enable the People Analytics function to do their best work. These data pipelines are crucial for our build-out of people products backed by business systems of record and for ongoing people data analytics. One example of an employee-facing product you’ll help us build is OpenHouse, which serves as a culture and communication hub and an organization-wide front door into all other aspects of People Innovation Labs’ work. OpenHouse and other products in our portfolio are built by full stack product engineers who are deeply curious about culture, recruiting and people development, and want to know everything from the business strategy and metrics down through the code that gets us there. In this role, you will work with People Innovation Labs leadership and software engineers and the People Analytics team to build the data systems that enable this work. In this role, you will: Design, build and manage people data pipelines, ensuring all data is seamlessly integrated into our Databricks warehouse. Develop canonical datasets to track key people metrics and People Innovation Labs produc

About the Team We bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role OpenAI is looking for an experienced Performance Engineer to help us scale the performance, reliability, and efficiency of our systems. In this role, you'll apply deep technical expertise to optimize infrastructure and application-level performance across mission-critical products like ChatGPT and our developer API. You’ll work cross-functionally with teams building core services, training models, and developing real-time user experiences to push our latency, throughput, and cost-efficiency to the next level. We are looking for engineers who thrive in ambiguous environments, value deep systems understanding, and are motivated by delivering measurable impact. This is a highly technical, individual contributor role focused on root-cause analysis, profiling, instrumentation, and architecture-level performance improvements across our stack. In this role, you will: Analyze and optimize performance across application, middleware, runtime, and infrastructure layers—networking, storage, Python runtime, GPU utilization, and beyond. Develop tooling and metrics that provide deep observability into system performance. Collaborate closely with infra, platform, training, and product teams to identify key performance goals and drive systemic improvements. Influence architecture and design decisions to prioritize latency, throughput, and efficiency at scale. Lead investigations into high-impact performance regressions or scalability issues in production. Drive performance testing strategies and help define SLAs/SLOs around latency and throughput for critical systems. You might thrive in this role if you: Have 7+ years of experience in software engineering with a strong tr

About the team The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software. About the Role We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt. This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies. In this role, you will: Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows. Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout. Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process. Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely. Contribute technical content including

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

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for a Localisation Engineer who can join our efforts in continuing to lead the industry in global localization and product translation in Tokyo, Japan. Responsibilities: Innovate localization strategy and lead complex technical projects across their entire lifecycle to continuously optimize processes. Design, build, and maintain a full-stack AI translation platform, including scalable web applications, backend services, and data pipelines. Integrate LLMs into core workflows to drive process automation, enhance content reuse, and support intelligent quality assurance. Establish comprehensive QA frameworks and provide ongoing technical support to ensure the robustness, reliability, and observability of localization pipelines. Manage vendor relationships, overseeing budget planning and ensuring high translation quality standards. Be excellent and think big in building the solution-based approach to offer the best localization at Snowflake. Required Qualifications: Minimum of a Bachelor's degree in Computer Science or related technical field or equivalent practical experience. Strong fundamental computer science skills. Knowledge of algorithms and data structures. 5+ years of experience in software development working with one or more of the following languages:

The Research Engineer – Mechatronics is a hands-on engineering role within the TaylorMade Research & Development team, focused on the design, prototyping, integration, and validation of electromechanical systems that advance golf equipment and player performance. This role demands deep practical expertise in mechatronics, sensor systems, electronic hardware, wiring, and embedded controls, combined with the ability to develop supporting software and user-facing tools. The ideal candidate is a builder and problem-solver who thrives in a laboratory and prototype environment, producing functional systems from concept through deployment. Essential Functions and Key Responsibilities: Design, prototype, wire, assemble, and test mechatronic and electromechanical systems used in golf equipment evaluation, performance measurement, and product development Develop and interpret wiring diagrams, schematics, and electrical specifications for custom hardware assemblies, test rigs, and IoT-connected devices Select, integrate, and characterize sensors (IMUs, load cells, encoders, pressure sensors, optical sensors, etc.) – including defining operating limits, calibration procedures, and signal conditioning requirements Design and implement IoT systems and wireless data acquisition platforms that capture real-time performance data from equipment and players Develop embedded firmware and control software for microcontrollers and microprocessors (e.g., Arduino, Raspberry Pi, STM32 or similar) to drive test automation and data capture systems Write clean, maintainable code to interface with hardware, process sensor data, and build internal and user-facing applications and interfaces; leverage AI-assisted development tools to accelerate prototyping and automate test routines; apply basic computer vision techni

The Best Players Need the Best People. This role implements practical, AI-enabled workflows that increase productivity, reduce manual effort, improve speed, and deliver measurable business value across PGA Tour departments. Working closely with internal stakeholders including product teams, engineering, data science and AI COE, cybersecurity, privacy, technology operations, and approved vendors. The Forward Deployed Engineer documents existing workflows, defines requirements, configures approved tools with the AI Governance Committee, and supports rollout of repeatable solutions that are secure, accurate, reliable, and easy for employees to use. This is an implementation-focused role centered on assigned use cases and department-level workflow improvements. The engineer evaluates whether a business need can be met through existing enterprise platforms, configuration, integration, workflow redesign, or vendor capability, and will escalate larger product, roadmap, architecture, or custom-development decisions to AI leadership. Qualifications Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or equivalent practical experience. Minimum 5 years of experience in software engineering, systems integration, solutions engi

Job Title Senior Software Technologist I - C++ Job Description Software Engineer II Your Role: • Design, develop, test, and maintain software components and applications using modern C++, C# in a Windows-based environment. • Participate in the full software development lifecycle including requirements analysis, design, implementation, testing, debugging, and maintenance. • Develop and maintain software applications using Visual Studio and associated C++, C# development tools. • Work with Windows operating system fundamentals including processes, services, registry, file system, User Account Control (UAC), and application configuration. • Create, enhance, and troubleshoot software modules while adhering to coding standards, design guidelines, and software development best practices. • Utilize GitHub for source control management including branching strategies, commits, pull requests, merges, rebasing, and code reviews. • Support and troubleshoot CI/CD pipeline issues using GitHub Actions and participate in continuous integration activities. • Manage software dependencies and package management using NuGet and Conan. • Configure and maintain build systems using CMake and Visual Studio project configurations. • Develop and execute unit tests using Google Test (GTest) to ensure software quality and reliability. • Perform debugging, root cause analysis, and defect resolution for software issues identified during development, testing, and field support activities. • Participate in peer code reviews and contribute to software quality, maintainability, and technical excellence. • Collaborate effectively with Software Verification, Product Management, DevOps, Architecture, and cross-functional teams to deliver high-quality software solutions. • Create and maintain

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities (What he/she will do after join UI): - 5~8 years’ work experience as a Key EE designer for Mobile, Tablet or AP products. - Mainly focus for system schematic review and mechanical stacking review with mechanical engineers and PCB layout review with layout engineers. - Work with RF engineers to figure out performance issues of radios and work with SI and DQA engineers to qualify features and make sure product quality is ready to move further. - Review design derating and suggest design update due to DFM (design for manufacturing), DFA(design for assembly) and DFC (Design For Cost). - Schematic and BOM maintenance and review. - Write test plans for testing coverage, execute tests, and document test results for projects. - Report projects’ status and issue tracking to internal. - Teardown and review new products in the market. Minimum Qualifications (MUST-haves) : - Have the MP experience with Mobile, Tablet or AP products. - Familiarity with high-speed signal design. - Proficiency on using OrCad Capture CIS, Power PCB viewer and Allegro viewer - Knowledge of electronic components (Ex. R/L/C/Diode/MOS/BJT/Logic ICs/Sensors) - Strong knowledge of ESD, EMI and Surge. - Debug skills with the basic operation with oscilloscopes, Logical Analyzers. - Strong knowledge to support the thermal solution. Preferred Quali

About Inspira Education Inspira Education Group is one of the fastest-growing edtech startups in the US. We started with a simple mission to democratize access to high-quality coaching so that every student in the world has an equal opportunity to access the best opportunities. As the world’s leading network of top admissions coaches in medical, legal, business, and college studies, we’re building software and services in one place—disrupting long-entrenched application processes with products and experiences that strive to provide an equal platform for candidates from diverse backgrounds worldwide. As one of the fastest-growing edtech firms in the world, we are backed by some of the leading venture capital firms and investors in the world, including Zeev Ventures, Quiet Capital, Craft Ventures and Jeff Fluhr (Founder of Stubhub). About the role We’re looking for a strong full-stack engineer who can own the complete product development process: understand a business problem, define the solution, design the user experience, build the software, and improve it after launch. You’ll work closely with leadership and business teams, combining hands-on engineering with product management and design responsibilities. You should be highly effective with AI coding tools and have the technical depth to independently review, debug, secure, and maintain everything you ship. This is an in-person role requiring 5 day/week in our NYC office. What you’ll own Translate business needs and user feedback into product requirements, user flows, prototypes, and prioritized development plans. Design and build polished applications across the front end, back end, database, and integrations. Make architecture decisions and scope releases that balance speed, reliability, and future maintainability. Use AI tools throughout development to accelerate implementation, testing, debugging, and documentation. Own deployment, production monitoring, incident resolution, and ongoing improvemen

About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. About the Role As a Research Engineer in OpenAI's Monetization Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions. If you're excited about making AI technology accessible and impactful, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize mod

SmartBear delivers application integrity for modern tech stacks, ensuring continuous, measurable assurance that software just works as intended with governance to operate at AI speed and scale. SmartBear offers deep test automation, API lifecycle management, and observability capabilities. With integrations across the SDLC, it sets a new quality standard for application delivery teams. SmartBear is trusted by developers, testers, and software engineers across 32,000 organizations, including 75% of the largest financial institutions and industry leaders such as Adobe, JetBlue, and Microsoft. SmartBear’s open source tools are downloaded more than 100 million times a month and have earned over 30,000 GitHub stars from the developer community. With its best-loved brands, including Swagger, TestComplete, Reflect, QMetry, Zephyr, and more, SmartBear meets customers where they are to make our technology-driven world a better place. Learn more at www.smartbear.com , or follow us on LinkedIn , X , and Reddit . At SmartBear, you will be part of a dynamic team solving one of the most critical challenges facing modern businesses: ensuring the integrity of software in an AI-driven world. Whether you are working directly with customers, driving go to market strategies, supporting operations, building products, or enabling teams, your contributions help shape the future of software quality for organizations worldwide. Join us in our mission. Summary Support enterprise customers as they adopt BugSnag to improve application stability and software quality. Partner with Sales to deliver technical demonstrations, proof of concepts, and customer evaluations. Build expertise in observability, troubleshooting, and customer-facing solution engineering while growing your technical career. Product Introduction BugSnag helps engineering teams proactively monitor application stability by identifying, prioritizing, and resolving software errors across web,

SmartBear delivers application integrity for modern tech stacks, ensuring continuous, measurable assurance that software just works as intended with governance to operate at AI speed and scale. SmartBear offers deep test automation, API lifecycle management, and observability capabilities. With integrations across the SDLC, it sets a new quality standard for application delivery teams. SmartBear is trusted by developers, testers, and software engineers across 32,000 organizations, including 75% of the largest financial institutions and industry leaders such as Adobe, JetBlue, and Microsoft. SmartBear’s open source tools are downloaded more than 100 million times a month and have earned over 30,000 GitHub stars from the developer community. With its best-loved brands, including Swagger, TestComplete, Reflect, QMetry, Zephyr, and more, SmartBear meets customers where they are to make our technology-driven world a better place. Learn more at www.smartbear.com , or follow us on LinkedIn , X , and Reddit . At SmartBear, you will be part of a dynamic team solving one of the most critical challenges facing modern businesses: ensuring the integrity of software in an AI-driven world. Whether you are working directly with customers, driving go to market strategies, supporting operations, building products, or enabling teams, your contributions help shape the future of software quality for organizations worldwide. Join us in our mission. Summary Support enterprise customers as they adopt BugSnag to improve application stability and software quality. Partner with Sales to deliver technical demonstrations, proof of concepts, and customer evaluations. Build expertise in observability, troubleshooting, and customer-facing solution engineering while growing your technical career. Product Introduction BugSnag helps engineering teams proactively monitor application stability by identifying, prioritizing, and resolving software errors across web,