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Who we are Lab37 Robotics , is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients. About the role Work with a team to understand the contents of the larger system. Take on the ownership of a hardware module, understand, develop and improve upon its requirements. Create CAD and all documentation required for its development, build, and testing. Be detail-oriented and demonstrate a sense of pride in your work. What you’ll do Design and develop mechanical systems for robotic applications, ensuring functionality, cost-effectiveness, and manufacturability. Create detailed 3D CAD models, engineering drawings, and assembly instructions. Collaborate with cross-functional teams, including electrical engineers, software developers, and product managers, to integrate mechanical designs with electronic and software components. Conduct hands-on prototype building and testing, analyzing performance data to iterate on designs. Utilize a variety of manufacturing processes and materials to optimize designs for performance and efficiency. Participate in design reviews, presenting design concepts and demonstrating prototypes to stakeholders. Manage documentation related to project plans, design specifications, and testing procedures What we are looking for Bachelor’s degree or equivalent in Mechanical Engineering or a related field is required. 3+ years of experience working as a Mechanical Design Engineer. Proficiency in SolidWorks CAD software, with a strong portfolio showcasing past projects and designs. Practical experience in building and testing mechanical systems; hands-on fabricatio

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Backend Engineer on the Plan: Spec-Driven Development team, you'll help build GitLab's intent-to-code loop: agentic workflows that turn a stated intent into a refined work item, an implementation plan, and verified, mergeable code. You'll own early-stage backend work across the flows, application programming interfaces, data models, and evaluation systems behind this experience, using Ruby on Rails, Python, PostgreSQL, GitLab Duo Agent Platform, large language model application programming interfaces, and an artificial intelligence gateway. You'll join a small, distributed team working on one of GitL

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. Key Responsibilities: Take responsibility for designing digital IP blocks from initial microarchitecture to RTL creation, integration, and supporting physical hardware development. Define and review module interfaces and system-level architecture. Actively leverage AI‑based tools, agentic workflows, and automation frameworks to: Accelerate RTL design optimization and design‑space exploration Assist in testbench generation and corner coverage Improve debug efficiency across simulation and silicon learning loops Define semicustom methodology for memory design Drive full-chip integration including CDC, Lint, synthesis, STA and power analysis. Collaborate with CAD, EDA, and software teams to integrate AI‑driven flows into simulation, verification, and design sign‑off environments. Collaborate closely with architecture, design, verification, and physical design / layout teams. Oversee and manage the layout process including floor-planning, placement, and routing. Perform block-level and full-chip verification including functional, timing, power and reliability analysis using industry standard and Micron-specific simulators and tools. Contribute to cross-group communication to work towards standardization and group success Provide technical mentorship and participate in design and methodology reviews. Drive innovation into the future memory generations and design methodology within a dynamic w

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: As a Senior Staff Security Engineer, you will be one of Ripple's most senior technical security practitioners, operating at the intersection of application security, cloud infrastructure security, and secure software delivery. This role exists to raise the technical bar and extend Ripple's security posture as the engineering organization scales across new products, new architectures, and an increasingly sophisticated threat landscape. You will serve as the dedicated security engineering partner for Ripple Treasury. You will lead the technical direction for product and infrastructure security, partnering with Ripple Treasury Product and Engineering teams to drive secure design, threat modeling, vulnerability management, and cloud security architecture. WHAT YOU’LL DO: Serve as the dedicated Security Engineering partner for Ripple Treasury BU, owning the security posture of the Treasury solution and infrastructure environment from assessment through remediation and ongoing maturity improvement. Lead threat modeling and security architecture reviews across Treasury offerings. Own the secure software development lifecycle for your product surface area, defining security guardrails, CI/CD integrations, and developer guidance that make secure by default a practical reality. Drive the cloud security architecture for Treasury across Azure and AWS, inclu

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Site Reliability Engineering at Affirm is a small, yet crucial, team that helps our Engineering partners to “Operate What They Own” with excellence to protect their customers’ experience. SRE accomplishes this through defining frameworks and best practices for operating applications, building tooling, and providing training and consulting. Some of the many SRE responsibilities are: Providing data and visibility to teams and leadership on application performance Guiding the development of SLOs Driving the Incident Management and Analysis process Steering the implementation of Change Management and Deployment practices Engaging in service and architectural conversations Recommending observability and alerting configurations The SRE team benefits from experience across many domains including: infrastructure, platform, and distributed systems capacity management, load and chaos testing automation, observability, and configuration management development and product experience The SRE team is seeking motivated software and systems engineers with the experience to build, iterate on, and expand incident lifecycle, reliability, and resilience practices throughout Affirms Engineering organization and beyond. What You'll Do: You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with infrastructure, product management, developer experience & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify technical solutions

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Site Reliability Engineering at Affirm is a small, yet crucial, team that helps our Engineering partners to “Operate What They Own” with excellence to protect their customers’ experience. SRE accomplishes this through defining frameworks and best practices for operating applications, building tooling, and providing training and consulting. Some of the many SRE responsibilities are: Providing data and visibility to teams and leadership on application performance Guiding the development of SLOs Driving the Incident Management and Analysis process Steering the implementation of Change Management and Deployment practices Engaging in service and architectural conversations Recommending observability and alerting configurations The SRE team benefits from experience across many domains including: infrastructure, platform, and distributed systems capacity management, load and chaos testing automation, observability, and configuration management development and product experience The SRE team is seeking motivated software and systems engineers with the experience to build, iterate on, and expand incident lifecycle, reliability, and resilience practices throughout Affirms Engineering organization and beyond. What You'll Do: You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with infrastructure, product management, developer experience & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify technical solutions

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Technology, Data and Intelligence Team Message Okta’s Technology, Data and Intelligence (TDI) team delivers the systems, tools, and services that power internal operations across the company. From core infrastructure to enterprise platforms, we partner across functions to drive scale, reliability, and innovation through technology. The Senior Site Reliability Engineer Opportunity Reporting to the Manager, Site Reliability Engineering , this role will help build, improve, and maintain our cloud platform services by designing and implementing complex cloud-based engineering enablement systems. With a strong focus on automation, testing, and operational excellence, you will deliver foundational infrastructure capabilities that enable corporate engineering teams to operate securely, reliably, and at scale. What you'll be doing Secure Cloud Infrastructure & Pipelines: Design, build, and modernize scalable cloud environments and development tools while strictly enforcing security policies and standards for regulated environments. Cross-Functional Collaboration & Advocacy: Partner with software engineering teams to champion DevOps and SRE best practices, deliver excellent internal customer service, and actively contribute to Agile workflows (e.g., demos, architecture sessions). Technical Documentation & Operations: Create and maintain comprehensive technical documentation, including network diagrams, runbooks, and disaster recovery procedures to en

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media and telecommunications to build production AI agents that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. The Opportunity Applied AI is moving faster than ever. New foundation models, reasoning techniques, agent architectures, and research papers emerge every week. Yet building AI systems that reliably solve real-world problems remains one of the hardest engineering challenges. As a Senior Frontier Agent Engineer (Applied AI) , you'll bridge the gap between cutting-edge AI research and production deployment. You'll work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles that focus on a single model or product, you'll work across a diverse portfolio of AI challenges spanning multiple industries and use cases. You may build a multi-agent research system and then participate in designing a customer intelligence platform, a healthcare copilot, or an autonomous workflow for a Fortune 100 company. If you enjoy reading new AI papers, experimenting with the latest models, and shipping production systems that create measurable business impact, you'll fit right in. What You'll Build Frontier AI Systems Design and deploy production AI agents that leverage the latest advances in large language models, reasoning, retrieval, memory, and tool use. Architect intelligent systems that combine LLMs, traditional machine learning, structured knowledge, enterpri

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. At Micron, our Technology Development team sits at the center of innovation. We build advanced modeling and AI solutions that shape how memory and storage technologies are designed, built, and scaled. Working at the intersection of physics, data, and engineering, we turn complex problems into practical breakthroughs that matter! This role is critical to how we accelerate semiconductor technology development using advanced AI and physics-based modeling. You will lead the design and deployment of agentic and LLM-powered solutions that directly influence process technology, packaging, and early manufacturing decisions. If you enjoy driving hard problems end to end and collaborating across hardware and software teams, this role offers real impact and visibility. Note: We are hiring for more than one role spanning Senior/Staff/Principal/Technical Staff Engineer. Responsibilities: Design and deploy physics-based, ML, and LLM-powered modeling solutions for semiconductor process, package, and manufacturing workflows Architect agentic AI systems that integrate with modeling tools, design automation environments, and fab/test platforms to enable digital twin development Define and promote best known methods for deploying LLMs and agentic systems reliably in production environments Evaluate and improve model performance using methods such as structured benchmarking, prompt tuning, RLHF, and feedback loops Translate modeling results into clear insights through data storytelling and visualiza

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. The qualifications and skills for this position include, but are not limited to: Bachelor’s or master’s degree in Electrical Engineering or Computer Engineering with 7+ years of proven experience in Test Engineering role. Excellent programming skills for writing and debugging ATE test programs and test-related hardware development. Proficiency with Advantest V93K ATE platforms and/or other logic device ATE testers is preferred. Proficiency in programming with C/C++ and/or JAVA is required. Solid understanding of testing for CMOS SoCs. Prefer candidates with exceptional digital, analog, and MXS test programming and debug experience. Familiar with testing IP blocks such as PLL, efuse, DDR. Expertise in test strategy development, test plan definition, DFT pattern implementation (ATPG SCAN, TDF, MemBIST and repair, BSACAN, JTAG/IEEE1500, and Functional Patterns). Expertise in ATE architecture and test hardware design and debugging, schematic capture, and PCB layout. ATE test vector conversion tools like VTRAN and proficiency in debugging issues during development or high volume production. Knowledge of semiconductor manufacturing process. Knowledge of accurate and effective use of lab test equipment (i.e., oscilloscope, logic analyzer, etc.). Experience with data analysis software in support of c

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is on the lookout for a passionate Senior Security Platform Engineer who is skilled at diving into complex software designs to identify security flaws and vulnerabilities. This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan. WHAT WE DO The Rockstar Games Application Security team partners with numerous development teams across the company to incorporate security practices throughout the software development lifecycle. We strive to understand the threat landscape affecting our development studios, the gaming industry, and the world at large to define secure development standards and guidelines to safeguard our business and protect our players. We independently assess our application code and builds through various techniques (static analysis, dynamic analysis, software composition analysis, etc.) to identify potential vulnerabilities and design flaws and work with development teams to remediate. RESPONSIBILITIES Architect and support secure software development lifecycle operations embedded in software development pipelines. Provide technical security guidance to developers, team leads, and producers. Drive remediation efforts behind internally and publicly identified vulnerabilities. REQUIREMENTS 5+ years of experience working in a professional, academic or research environment identifying and remediating security bugs/flaws, assisted by automated pipelines. Knowledge of common web security vulnerabilities (e.g., OWASP Top 10), client-side security landscape, attack techniques and remediation tactics/strategies. Experience implementing and tuning SAST, SCA

The opportunity Polestar is accelerating the transition to sustainable mobility through electric performance. Behind that journey sits a powerful digital platform enabling everything from checkout and payments to order management, delivery, retail tools, and customer self‑service. You will join a focused team working across a critical part of the customer journey, building and validating solutions that customers globally and hundreds of internal users depend on every day. With real ownership, close collaboration, and global impact, this role plays a key part in ensuring reliability, performance, and quality across Polestar’s digital ecosystem. We are now looking for a Senior Quality Assurance Engineer to join Polestar Digital at our headquarters in Gothenburg, Sweden. Let us describe the challenge we offer As a Senior Quality Assurance Engineer, you will ensure the reliability, performance, and quality of customer‑facing digital products and internal platforms that support the vehicle purchasing journey. You will work across frontend, backend, APIs, and cloud infrastructure, validating solutions and ensuring that features meet both business and technical requirements before release. Acting as a key partner to Software Engineers, Product Managers, Designers, and Operations teams, you will translate product requirements into effective test strategies and ensure that defects are identified early and resolved efficiently. The role combines hands‑on testing, automation, and continuous improvement of quality practices, contributing to scalable and high‑quality systems used globally across markets and internal operations. You will also stay up to date with modern QA methodologies and emerging technologies, including AI‑assisted testing approaches. What you'll do You will ensure high‑quality delivery across Polestar’s digital platforms by validating solutions, improving test coverage, and driving continuous improvement in quality practices. Your responsibilities include: En

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems. The Deployments team designs and maintains our continuous delivery infrastructure, ensuring reliable code deployment from development through production for all engineering teams. This infrastructure is primarily composed of Argo Workflows and ArgoCD. The team also provides tooling that enables clear system ownership and facilitates self-service onboarding for development teams. We are looking to speak to candidates who can work East Coast hours. The ideal candidate should Have 6+ years of experience in software development and operating distributed systems Proficiency in Python, Go, or a similar language Proven experience building and operating large-scale continuous integration and continuous deployment (CI/CD) pipelines Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual process (“allergic to ops work”). We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Expectations Contribute to developing a world-class continuous deployment experience, enabling the rapid and reliable shipment of MongoDB products This includes, but is not limited to, contributing to open-source projects, or engineering software-based

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems. The Deployments team designs and maintains our continuous delivery infrastructure, ensuring reliable code deployment from development through production for all engineering teams. This infrastructure is primarily composed of Argo Workflows and ArgoCD. The team also provides tooling that enables clear system ownership and facilitates self-service onboarding for development teams. We are looking to speak to candidates who can work East Coast hours. The ideal candidate should Have 6+ years of experience in software development and operating distributed systems Proficiency in Python, Go, or a similar language Proven experience building and operating large-scale continuous integration and continuous deployment (CI/CD) pipelines Possess a customer-focused mindset Value efficiency in processes and operations Prefer automation over manual process (“allergic to ops work”). We are a small team of software engineers with a strong bias towards software solutions to avoid toil Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Expectations Contribute to developing a world-class continuous deployment experience, enabling the rapid and reliable shipment of MongoDB products This includes, but is not limited to, contributing to open-source projects, or engineering software-based

At Carbon, our mission goes beyond 3D printing. We are enabling creators everywhere to make what the world needs, right now. Our company is built on the idea that diverse fields of study must come together to solve intractable problems. We have grand ambitions to create technology that will influence industry around the world. You will be joining a diverse team with a vibrant culture, where team success is as important as celebrating individual contributions. Help us change the world and we will help you change yours. About the Role Carbon is looking for a Senior Production Systems/Test Engineer to join our team of talented engineers in our Santa Clara, CA office. The ideal candidate is a systems engineer with a passion for solving complex manufacturing challenges -- someone who thrives on digging into difficult problems across hardware, software, and data to find root cause and drive lasting fixes. In this role, you will lead troubleshooting of our complex end-of-line systems and develop robust test and bring-up processes that make our production line more efficient, self-sustaining, and capable of delivering the highest quality products. You will be a key driver in building the kind of systematic, repeatable testing infrastructure that lets our production team move fast with confidence -- ensuring every product that leaves the building meets Carbon's exacting standards. This role is located at our Santa Clara location on Thomas Road. This role is is a full time in-office job Monday through Friday. Responsibilities Own root cause analysis and troubleshooting of complex electro-mechanical and optical systems, using data analysis and MES tools to identify, validate, and resolve issues at their source. Serve as a key technical resource for the production floor -- rapidly unblocking manufacturing personnel when issues arise, driving corrective actions through to full resolution so the line stays moving and problems don't recur. Part