Quality Engineer: Diagnostics

Role Overview Intuitive Surgical, Inc. is hiring a Staff Quality Engineer in San Francisco. This role focuses on maintaining quality standards for robotic-assisted surgical systems. The position works closely with teams across the company to support quality assurance and uphold compliance with industry regulations. Key Responsibilities Maintain and improve quality standards for surgical products Collaborate with cross-functional teams to support quality assurance activities Ensure compliance with relevant industry regulations Contribute to initiatives that drive continuous improvement in product quality and operations

About the Role Forge Global is hiring a Staff Quality Engineer II in San Francisco, California. This position plays a key part in upholding and improving product quality across the company’s offerings. The Staff Quality Engineer II leads efforts that strengthen product reliability and support customer satisfaction.

Join Us in Combating the Escalating Wildfire Crisis with Cutting-Edge AI and IoT TechnologiesAbout UsThe Challenge: Every second counts in wildfire response. As climate change exacerbates the severity of wildfires—resulting in prolonged fire seasons, drier fuels, and quicker wind speeds—new ignitions spread rapidly, endangering more communities. Currently, most wildfires are detected by bystanders and reported through 911 calls, which can lead to delays of hours in identifying a fire's precise location and size, and dispatching first responders. Fire authorities require an expedited method for detecting, verifying, and locating fires to swiftly respond—stopping minor flare-ups from evolving into catastrophic wildfires.About Pano AI: We are a dynamic and innovative start-up with over 150 team members, headquartered in San Francisco. We are pioneers in the field of early wildfire detection and intelligence, empowering fire professionals to react more swiftly and safely—with the right tools, timely insights, and improved collaboration—enabling them to contain new ignitions before they escalate. Pano AI merges state-of-the-art hardware, software, and artificial intelligence into a user-friendly, web-based platform. By utilizing a network of ultra-high-definition, 360-degree cameras positioned at elevated locations, along with satellite and other data sources, Pano AI offers a real-time overview of threats in a defined geographical area and provides immediate, actionable intelligence.Pano AI has been recognized on TIME's list of the 100 Most Influential Companies of 2025! Additionally, MIT Technology Review highlighted Pano as one of the top 15 climate tech companies to watch in 2024, and Fast Company named us one of the Top 10 most innovative companies in AI of 2023. Our achievements have also been featured in prominent publications such as the Wall Street Journal and Bloomberg.

Join our innovative team at collate as a Quality Engineer specializing in therapeutics. In this role, you will ensure the highest standards of quality are maintained in our therapeutic products, contributing to groundbreaking advancements in healthcare. Your expertise will be pivotal in developing and implementing quality assurance processes that meet regulatory requirements and enhance product reliability.

Join wordware.ai as a Staff Engineer where you will play a pivotal role in shaping the future of our innovative software solutions. We are looking for a talented engineer who thrives in a collaborative environment, is passionate about technology, and is eager to tackle complex challenges. Your expertise will help drive our product development and enhance the user experience for our clients.

Casca seeks a Quality Engineer based in San Francisco to help ensure strong product quality. This position works with teams across the company to shape and maintain quality assurance processes. Day-to-day work centers on detailed product testing and supporting ongoing improvements to both products and workflows. Key responsibilities Work with cross-functional teams to develop and refine quality assurance methods Carry out thorough testing of products Assist in efforts to enhance quality and customer satisfaction over time What we value Dedication to maintaining high standards in product quality Commitment to continuous improvement Strong teamwork and clear communication

Accordion is hiring a Senior Quality Engineer to help maintain and improve quality across products and services. This position is based in several major cities, including Atlanta, Boston, Charlotte, Chicago, Dallas, Los Angeles, New York, and San Francisco. Role overview This role centers on upholding high quality standards throughout the development process. The Senior Quality Engineer works with teams from different disciplines, contributing expertise in quality assurance and process improvement. What you will do Create and execute detailed test plans to validate product and service quality Work closely with cross-functional groups to identify and document defects Support continuous improvement by sharing insights and recommending process changes Location Positions are available in Atlanta, Boston, Charlotte, Chicago, Dallas, Los Angeles, New York, and San Francisco.

Join Varick Agents as a Staff Engineer, where you will play a crucial role in developing innovative solutions that drive our company's success. We are looking for a highly skilled engineer who is passionate about technology and eager to tackle complex challenges. You will work closely with cross-functional teams to design, implement, and maintain software systems that enhance our operational efficiency and customer satisfaction.

As a Senior Tooling Quality Engineer at Oura Health, you will play a pivotal role in ensuring the precision and reliability of our tooling processes. You will collaborate with cross-functional teams to refine tooling methodologies, enhance quality control protocols, and drive continuous improvement initiatives. Your expertise will be vital in maintaining high standards of quality in our manufacturing processes.

Pinterest seeks a Senior Staff Machine Learning Engineer to drive content quality efforts in San Francisco, CA. This position plays a key role in setting the standards for what appears on the platform, helping to build and sustain user trust in the content experience. Key Responsibilities Design and improve machine learning algorithms that assess and enhance the quality and relevance of content on Pinterest. Collaborate with product and engineering teams to ensure high-quality material is surfaced for users. Support initiatives that foster a positive and trustworthy content experience for the Pinterest community. Impact the daily interactions of millions of users through your technical contributions. Collaboration This role works closely with cross-functional partners across product and engineering to shape the way content is evaluated and presented on the platform.

About the TeamJoin OpenAI’s Hardware organization, where we develop cutting-edge silicon and system-level solutions tailored to the high demands of advanced AI workloads. Our team is dedicated to creating the next generation of AI-native silicon in collaboration with software and research partners, ensuring hardware is seamlessly integrated with AI models. We are not just about delivering production-grade silicon for OpenAI’s supercomputing infrastructure; we also innovate custom design tools and methodologies that enhance hardware capabilities specifically for AI.About the RoleAs a Component and Product Quality Engineer focusing on interconnects, you will oversee the quality of high-speed interconnect hardware through every phase of the product lifecycle. This includes early design input, supplier readiness, qualification, ramp-up, and ongoing fleet quality in lab and data center settings.In this crucial role, you will lead the quality initiatives for advanced interconnect components and assemblies, such as high-speed copper cables, cable cartridges, patch panels, backplane solutions, high-speed connectors, and related electro-mechanical interfaces. Collaboration with electrical, mechanical, system integration, reliability, and operations teams, as well as external vendors, will be key to preventing quality escapes and implementing data-driven corrective actions swiftly.Your Responsibilities Include:Managing quality for advanced interconnect components and assemblies, including high-speed connectors, copper cables, cable cartridges, patch panels, and backplane solutions.Advancing quality-by-design practices by participating in design reviews, DFM/DFx, and tolerance analysis to minimize variation and field failures.Defining and monitoring quality and reliability metrics for interconnects throughout NPI and mass production.Creating and executing qualification strategies for cables, connectors, and patch panels, ensuring rigorous testing and clear criteria for success.Collaborating with engineering and operations to ensure a smooth ramp-up, conducting risk assessments, and applying lessons learned from pilot builds.

Join Laurel as a Staff Data Engineer, where you will play a pivotal role in designing and implementing scalable data solutions. You will collaborate with cross-functional teams to optimize data architecture and enhance data analytics capabilities.

Join Parafin as a Staff Product Engineer and play a pivotal role in designing and building innovative products that make a difference. You will collaborate with cross-functional teams to deliver high-quality solutions that exceed customer expectations.

Our VisionAt Reflection AI, we are dedicated to developing open superintelligence and ensuring it is accessible to everyone.We are pioneering open weight models for individuals, agents, organizations, and even nations. Our diverse team of AI researchers and industry pioneers hail from esteemed organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic, and many others.Position OverviewIn the rapidly evolving field of AI, data has become indispensable for innovation. Notable progress in recent years has stemmed more from enhanced data quality than from novel architectures.As a valued member of our Data Team, you will be responsible for ensuring that the datasets used to train and assess our models are of exceptional quality, reliability, and effectiveness. Your contributions will directly influence our models' capabilities in areas such as agentic tool usage, long-term reasoning, and ensuring robust safety alignment.Collaborating with elite researchers within our post-training teams, you will help transform abstract concepts of “good data” into tangible, scalable standards for extensive data initiatives. We seek engineers who possess a strong foundation in engineering principles paired with a genuine curiosity about data quality and its effects on model performance.Working closely with our post-training teams, your responsibilities will include:Managing upstream data quality for LLM post-training and evaluations by analyzing expert-generated datasets and implementing quality benchmarks for reasoning, alignment, and agentic applications.Collaborating with research and post-training teams to translate requirements into quantifiable quality indicators and offering actionable insights to external data providers.Developing, validating, and expanding automated quality assurance methods, including LLM-as-a-Judge frameworks, to consistently assess data quality across large-scale projects.Creating reusable quality assurance pipelines that consistently supply high-quality data to post-training teams for model training and evaluation.Tracking and reporting on data quality trends over time, fostering continuous improvements in quality standards, processes, and acceptance criteria.QualificationsSolid engineering principles with experience in building data pipelines, quality assurance systems, or evaluation workflows tailored for post-training data and agentic environments.Meticulous and analytical, capable of pinpointing failure modes, inconsistencies, and nuanced issues that influence data quality.A robust understanding of the impact of data quality on model behavior and performance.

About Us:At Parafin, our mission is to empower small businesses by providing them with the financial support they need to thrive. Small businesses play a crucial role in our economy, yet they often face challenges in accessing traditional banking services. We develop innovative technology that simplifies access to essential financial tools through the platforms they already use for sales. By partnering with industry leaders like DoorDash, Amazon, Worldpay, and Mindbody, we deliver fast and adaptable funding solutions, spend management, and savings tools to small business users via seamless integrations. Parafin manages the complexities of capital markets, underwriting, servicing, compliance, and customer support on behalf of our partners.Our team of dedicated innovators comes from top-tier organizations such as Stripe, Square, Plaid, Coinbase, and Robinhood, all driven by a shared passion for creating solutions that foster the success of small businesses. Backed by prominent venture capital firms including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital, Parafin is a Series C company with over $194M raised in equity and $340M in debt facilities.Join us in shaping a future where every small business has the financial tools they deserve.About the Position:As a Staff Product Engineer at Parafin, you will be the go-to expert for our implemented products. You will collaborate across design, product, and backend teams to ensure that everything functions seamlessly. Our focus extends beyond specifications; we prioritize understanding the purpose of features, identifying users, and solving their problems. You will take ownership of the entire frontend experience, addressing every transition, edge case, and state change that occurs between user actions and screen outputs.While familiarity with our specific stack is not required, a strong foundation in JavaScript and experience shipping real products using React and TypeScript are essential.Your Responsibilities:Create Scalable, High-Quality User Experiences: Collaborate with design to deliver exceptional UI/UX while also managing critical aspects such as page performance, cross-browser compatibility, and mobile responsiveness.Gain In-Depth Product Knowledge: Develop a strong understanding and perspective on the products we build. Work closely with product and design teams to contribute to the development process, rather than merely executing specifications.Monitor and Enhance Performance: Implement observability for user interactions, core web vitals, and overall perceived performance.Build Frontend and Product Infrastructure: Participate in the development of build systems, developer tools, and deployment pipelines. Advocate for improvements in the developer experience and create internal tools to streamline processes.

Join Codegen as a Senior Staff Engineer, where your expertise will play a pivotal role in shaping our software solutions. We are looking for individuals with over a decade of robust software engineering experience, particularly in backend development, who are adept at independently designing and implementing large-scale, intricate systems. This is your chance to contribute to innovative projects in a role that offers both high autonomy and significant impact on our Python backend and associated technologies.About the RoleAs a full-time Senior Staff Engineer at Codegen, you will take ownership of critical segments of our Python backend, transforming them into reliable and scalable systems.In this role, you will iterate on features, prototype solutions, and refine them to meet enterprise standards. The ideal candidate will be self-motivated, capable of working independently while also collaborating effectively to drive projects to completion. This position is tailored for senior professionals who thrive in fast-paced environments and are passionate about cultivating an elite engineering culture.Our technology stack includes Python, OpenAPI APIs, FastAPI, and Modal for backend services, with strong integration with git, Retool for internal tools, and a minimal frontend built using Remix.js and TypeScript.

Join Our Innovative TeamAt Twelve Labs, we are at the forefront of technology, developing state-of-the-art multimodal foundation models that enable video comprehension akin to human understanding. Our groundbreaking models have set new benchmarks in video-language modeling, enhancing our capabilities and revolutionizing media interaction and analysis.With impressive backing of $107 million in Seed and Series A funding from prestigious venture capital firms including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, as well as renowned AI pioneers such as Fei-Fei Li and Alexandr Wang, our San Francisco headquarters serve as a hub for global innovation, complemented by a strong presence in APAC from Seoul.We cherish the unique journeys of our team members, believing that diverse cultural, educational, and life experiences fuel our collective creativity. We seek passionate individuals aligned with our mission to reshape technology. Join us in our quest to revolutionize video understanding and the realm of multimodal AI.Your RoleWe are on the lookout for a Staff Security Engineer to bolster our security team. Collaborating closely with our lead security engineer, you'll play a vital role in evolving and scaling our security initiatives. This generalist position offers a wide-ranging scope, encompassing application security, cloud infrastructure, CI/CD pipelines, and addressing AI/ML-specific vulnerabilities.This is not a SOC position; you won't be confined to an alert queue. Instead, you'll be actively engaged in identifying risks, enhancing controls to mitigate those risks, and working collaboratively with engineering and infrastructure teams to integrate security seamlessly into our development processes. As a dynamic AI company, we tackle security challenges that are often unprecedented—securing model weights, ML pipelines, and training infrastructure alongside more traditional domains.If you thrive on addressing emerging threats, enjoy deeply understanding systems, and aspire to make a meaningful impact at a cutting-edge video AI company, this role is tailored for you.Note: U.S. Citizenship is required due to access to systems governed by U.S. government security regulations.Location Requirements: We are currently considering candidates exclusively based in the Pacific Time Zone (PT).Candidates should be prepared to travel up to 10% annually for team meetings and events.

About GridwareGridware is an innovative technology firm based in San Francisco, committed to safeguarding and optimizing the electrical grid. We have pioneered a revolutionary grid management approach known as Active Grid Response (AGR), which emphasizes the monitoring of electrical, physical, and environmental factors that influence grid reliability and safety. Our cutting-edge AGR platform leverages high-precision sensors to identify potential issues early, facilitating proactive maintenance and fault prevention. This holistic strategy aids in enhancing safety, minimizing outages, and ensuring the grid operates with maximum efficiency. Gridware is supported by prominent climate-tech and Silicon Valley investors. For further details, please visit www.Gridware.io.Role OverviewWe are looking for a talented Staff Software Engineer to act as a pivotal technical force within our team, enhancing the overall software engineering capabilities through architectural innovation, mentorship, and fostering a culture of excellence. In this role, you will design and develop the essential software systems that drive Gridware's platform. This encompasses everything from backend services that oversee our distributed network of devices to the front-end interfaces that visualize grid health, fleet diagnostics, and real-time field events.Your responsibilities will span the entire technology stack, building and scaling systems that integrate hardware, firmware, and cloud infrastructure to enable dependable communication, fleet visibility, and expedited decision-making. This position offers significant ownership and impact, allowing you to influence how our technology supports and protects critical infrastructure at scale.

Our MissionAt Reflection AI, we are dedicated to creating open superintelligence and making it universally accessible.We are pioneering open weight models designed for individuals, agents, enterprises, and even nations. Our talented team consists of AI researchers and innovators from leading organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.Role OverviewData is becoming increasingly vital in the realm of AI advancements. Recent significant breakthroughs have frequently stemmed from enhanced data rather than new architectures.As a vital member of the Data Team, your primary role will be to guarantee that the data utilized for training our models adheres to the highest standards of quality, reliability, and impact. You will have a direct influence on our models' performance in essential capabilities.Collaborating with exceptional researchers on our pre-training teams, you will help transform abstract concepts of "good data" into specific, quantifiable standards applicable across extensive data campaigns. We are seeking engineers who possess robust engineering skills combined with a profound curiosity about data quality and its relevance to model performance.In close partnership with our pre-training teams, you will:Take ownership of upstream data quality for LLM pre-training, functioning as either a specialist or generalist across various languages and modalities.Collaborate with research and pre-training teams to convert requirements into measurable quality signals, providing actionable feedback to external data vendors.Incorporate human-in-the-loop processes while designing, validating, and scaling automated QA methods to consistently measure data quality across large-scale campaigns.Create reusable QA pipelines that ensure the delivery of high-quality data to pre-training teams for model training.Continuously monitor and report on data quality, driving ongoing improvements in quality standards, processes, and acceptance criteria.Candidate ProfileStrong engineering background with experience in building data pipelines, QA systems, or evaluation workflows for pre-training data.Detail-oriented with an analytical mindset, capable of identifying failure modes, inconsistencies, and nuanced issues affecting data quality.Solid understanding of the influence of data quality on pre-training, with the capacity to translate quality concerns into tangible signals, decisions, and feedback.