Senior Application Engineer at Merge Labs | San Francisco Bay Area

Merge Labs stands at the forefront of research, dedicated to integrating biological and artificial intelligence to enhance human capabilities, autonomy, and experiences. Our innovative approach focuses on developing groundbreaking brain-computer interfaces that operate at high bandwidth, seamlessly integrate with advanced AI technologies, and ensure safety a…

At Merge Labs, we are at the forefront of research, dedicated to merging biological and artificial intelligence to enhance human potential, agency, and experience. Our innovative journey focuses on pioneering brain-computer interfaces that communicate with the brain at high bandwidth, integrating cutting-edge AI technologies while ensuring safety and accessibility for all users.About Our TeamThe Merge team is committed to addressing the most ambitious challenges in molecular engineering, synthetic biology, and neuroscience. Our Research Platform Team is tasked with constructing the experimental capabilities essential for swiftly and rigorously tackling these issues. We create instruments and pipelines that expedite molecular assembly, protein expression, mammalian cell culture, advanced microscopy, and sequencing, along with some unique custom methods. Collaboration with various program teams is key to establishing and optimizing these capabilities, automating processes where beneficial, and integrating with our data science and machine learning frameworks. Our innovative approaches are designed to significantly enhance throughput and drive continuous advancement.Role OverviewAs an Automation Engineer, you will play a critical role in developing automation pipelines to accelerate our key research initiatives. This position will utilize your existing technical and scientific knowledge while challenging you to quickly adapt to new scientific fields and develop additional experimental capabilities. You will work closely with program leads, project scientists, data scientists, and engineers to collaboratively design, implement, and scale research pipelines. This position requires independent work and may involve recruiting additional team members to support various projects.Key Responsibilities:Collaborate with program leads and project scientists to identify automation requirements and strategies.Leverage biological contexts and experimental insights to inform automation strategies and execution.Design, acquire, construct, program, and validate instrumentation and software, providing training to project teams.Ensure the quality, reliability, and integrity of data produced by automated pipelines, including establishing and integrating QC checkpoints.Work with data science and machine learning engineers to integrate metadata tracking, computational design, and analysis into experimental workflows.Collaborate with electrical, mechanical, and software engineers to streamline automation processes.

At Merge Labs, we are pioneering research at the intersection of biological and artificial intelligence, aiming to enhance human potential, autonomy, and experience. Our innovative approach focuses on developing cutting-edge brain-computer interfaces that communicate with the brain at high bandwidth, seamlessly integrate with advanced AI, and are designed to be safe and accessible for everyone.About Our TeamThe Lab Operations team serves as the essential operational foundation of Merge Labs, overseeing the complete lifecycle of our R&D environment—from the conceptualization and construction of our physical infrastructure to its large-scale operation. Our responsibilities encompass Equipment Management, Safety, Lab Facilities, Procurement, and Logistics, ensuring that the laboratory operates without a hitch. We view our operations role as a driving force, with a mission to establish a top-tier Lab Operations System that not only empowers our scientists and engineers but also accelerates their progress through optimal integrated systems and operational excellence.Key Responsibilities:Manage daily lab operations by executing essential tasks that keep the lab organized and functional—overseeing bench organization, glassware management, reagent and media inventory, and maintaining the meticulous upkeep necessary for a high-performing wet lab.Ensure accurate lab systems by logging equipment into asset databases, completing maintenance tracking sheets, and conducting inventory counts while adhering to our scheduled protocols to reflect real-time operations.Implement the equipment management strategy, which includes tagging new assets, updating the database, and scheduling preventive maintenance to maintain the accuracy of our operational records. This includes hands-on work such as running instrument calibrations, executing scheduled freezer defrost cycles, and routine equipment maintenance to keep the lab operational.Support the lab's supply chain by placing orders, receiving and logging shipments, restocking workstations and cold storage, and proactively identifying low inventory levels before they impact operations.Uphold a safe working environment by conducting daily facility checks—such as walkthroughs and hazard assessments—to ensure compliance with safety protocols.

Merge Labs is an innovative research laboratory dedicated to harmonizing biological and artificial intelligence, aiming to enhance human capabilities, autonomy, and overall experience. Our focus is on pioneering groundbreaking brain-computer interface technologies that interact with the brain at high bandwidth, seamlessly integrate with advanced AI systems, and ensure safety and accessibility for all users.About the Team:Our Bio team is at the forefront of designing, constructing, and evaluating the biotechnological foundations necessary for next-generation brain-computer interfaces. We employ a multidisciplinary approach, merging molecular engineering, synthetic biology, neuroscience, and advanced techniques such as ultrasound to create less invasive, high-bandwidth connections with neurons. The Bio team focuses on developing core molecular technologies, validating their efficacy both in vitro and in vivo, and showcasing their advanced capabilities through animal models. We create bespoke experimental setups and workflows, collaborating closely with engineers and data scientists to tackle some of the most demanding challenges in biotechnology.About the Role:As a Research Associate, you will be part of a multidisciplinary team driving critical biological research at Merge Labs, with two distinct tracks:Science-Track RAs engage directly in active scientific programs, collaborating closely with scientists to design, implement, and refine experiments across various fields such as protein engineering, cell biology, synthetic biology, neuroscience, and translational biology. Your experimental work will directly influence experimental decisions, execution, and technical strategies. This track is specifically structured to identify and nurture high-potential early-career scientists, facilitating their progression towards independent scientific roles.Platform-Track RAs focus on developing and maintaining the essential experimental capabilities that support ambitious scientific endeavors at scale. You will collaborate with platform leaders to operate, enhance, and innovate foundational workflows. This track values precision, systems thinking, and profound technical expertise, allowing you to transform delicate or custom experiments into robust, high-quality pipelines that propel the entire organization forward. This track offers a gratifying, long-term career path for individuals who excel in supporting research.In this Role, You Will:Conduct experiments in one or more domains, including:Molecular biology (cloning, CRISPR, etc.)

At Merge Labs, we are at the forefront of scientific innovation, dedicated to harmonizing biological and artificial intelligence to enhance human potential and experiences. Our mission is to pioneer groundbreaking brain-computer interface technologies that communicate with the brain at unprecedented speeds, integrate seamlessly with advanced AI, and ensure safety and accessibility for all users.About Our Team:Our team is committed to transforming advanced brain-computer interface visions into tangible algorithms. By integrating knowledge from synthetic biology, neuroscience, device physics, signal processing, and machine learning, we create effective methodologies to connect human intelligence with artificial intelligence. Our work involves designing experiments, developing analytical frameworks, collecting data, training models, and optimizing performance to construct scalable Brain-AI systems. We prioritize urgency while maintaining a balance between creative exploration and engineering rigor, as we believe that enhancing human ability, agency, and experience is one of the most pressing challenges of our era.Role Overview:As the most senior data engineer on our team, you will take charge of the data pipelines that capture, process, and deliver the essential data driving Merge’s molecular optimization platform. Your role will include converting diverse laboratory outputs into structured, queryable datasets that enable scientific analysis and closed-loop machine learning. Collaborating closely with experimentalists, you will establish data standards and metadata conventions, and work alongside ML engineers to ensure results are integrated into production-grade systems.This position reports to the Head of Software and involves extensive cross-functional collaboration—spanning software engineering, data architecture, and scientific informatics. As part of the Core Software team, you will be supported by infrastructure specialists and will coordinate with the Application Development Lead to ensure comprehensive scientific and user input capture.Your Responsibilities Include:Developing and maintaining ingestion pipelines from laboratory instruments into centralized data storage.Designing schemas and capturing metadata standards for experimental data.Implementing post-processing pipelines to generate analysis-ready datasets for our scientific teams.Setting up monitoring, alerting, and structured logging for data pipelines to ensure optimal operation.

Merge is at the forefront of providing cutting-edge agentic tools and customer-facing integrations tailored for advanced LLMs, Fortune 500 companies, and B2B SaaS solutions. Our platform features two primary offerings: Merge Unified, which allows businesses to seamlessly incorporate hundreds of integrations through a single API, and Merge Agent Handler, designed to grant AI agents secure access to a plethora of third-party tools. Our enterprise-grade platform encompasses the full integration lifecycle, from authentication and security to continuous monitoring and maintenance. Trusted by thousands of companies, Merge accelerates product development, removes sales obstacles, mitigates customer churn, and conserves engineering resources, enabling teams to concentrate on their core products. Who are we looking for?We are seeking both backend and full-stack engineers to join our two engineering teams located in San Francisco. Our Foundations team develops Merge's infrastructure to achieve unprecedented levels of scalability, performance, and reliability. Simultaneously, our Automation team leverages Applied AI and large language models (LLMs) to create innovative, externally-facing products and enhance internal efficiencies through automation, intelligent tooling, and AI-native user experiences. We are hiring for mid- to staff-level positions, with evaluations based on relevant experience and interview performance. What you will do:Engage in roadmapping and architectural discussionsWrite high-quality, production-ready, maintainable, and readable codeLead substantial projects from initial conception to productionProvide support and unblock your team consisting of engineers, designers, product managers, and business operators

Backend Software Engineer – AI Applications San Francisco Bay Area | Hybrid (3 days onsite, 2 remote)About TrueMeterAt TrueMeter, we are revolutionizing the way businesses manage their energy costs. The U.S. power grid was not designed for the AI era, and we are here to change that. With the rising demand for data centers and the lagging adoption of renewable energy, many businesses are facing increasing utility bills. Our solution? The AI Energy Agent—a system that simplifies and reduces energy costs by consolidating multiple utility bills into a single, affordable subscription. Since our MVP launch in May 2024, we have successfully onboarded millions in energy spending from notable brands. As a seed-stage startup backed by prominent Silicon Valley investors, we are poised for rapid growth.If you are passionate about developing AI-driven systems that can make a significant impact on the planet, we want to hear from you!The RoleWe are seeking a Backend Software Engineer (AI Applications) who thrives in fast-paced, early-stage environments. In this role, you will transform ideas and prototypes into functional systems in a matter of days.You will be responsible for creating the backend infrastructure that powers our AI Energy Agent, including LLM-driven systems that analyze, structure, and interpret energy data. This includes integrating with multiple utility APIs, managing data pipelines, and developing services that ensure our AI solutions are effective and reliable.You will collaborate closely with the co-founder/CTO and a talented team of engineers, designing scalable backend systems that can grow from 10 customers to 10,000, all while taking ownership of your work and delivering with pride.What You Will CreateAI-Driven Backends: Develop production systems that connect LLMs and coding agents to our data and product APIs.Service Architecture: Design and implement fast, secure microservices using Python (and optionally TypeScript).Data Integration: Build reliable connectors to energy company portals and public data sources.Infrastructure for Intelligence: Help architect the backend infrastructure that enables AI agents to read, reason, and act autonomously across our data stack.Performance & Scalability: Own systems that are designed to operate 24/7 with low latency and high reliability.

Join Our MissionThe trucking and logistics sector is essential to our economy, yet its payment infrastructure is outdated and inefficient. At AtoB, we are on a mission to revolutionize payment systems for this industry. We've identified the challenges faced by hardworking professionals in trucking — from outdated tools to hidden fees, and we are committed to delivering solutions that prioritize their needs.About AtoBOur goal is to create a seamless payment experience akin to Stripe, tailor-made for the transportation industry. We understand the critical role of timely capital movement in supply chains and strive to ensure it happens smoothly and fairly. Every product we develop enhances user experience and works intelligently within the unique constraints our customers face daily, whether they are fleet managers or drivers.Our ExpertiseOur founding team boasts extensive experience in the tech and payments landscape, with backgrounds from industry leaders like Cruise Automation, Uber, Google, Meta, and Stripe. We've attracted over $125 million in funding from prominent investors, including General Catalyst, Y Combinator, and major tech founders, positioning us as a leader in innovation within our sector.Recognized by Forbes as one of the Next Billion-Dollar Startups, we are also proud to join the World Economic Forum as a Global Innovator.

About HexusAt Hexus, we are dedicated to unlocking the hidden potential of AI and personalization for businesses. Our passion lies in revolutionizing product-led growth, transforming how companies connect with their customers, thereby enhancing product adoption and ensuring long-term success. With a robust suite of AI-driven tools, Hexus enables businesses to optimize their PLG strategies across Sales, Marketing, and Customer Experience.Supported by leading investors, industry experts, and renowned angel investors, our team is spearheaded by former FAANG founders with extensive experience in SaaS, ML, and UX. Join us in our mission to redefine customer experiences through AI and personalization.Your RoleAs a dynamic, design-driven startup, we are seeking a talented Senior Product Engineer to join our early-stage team. You will be instrumental in actualizing our product vision by creating clean, intuitive UI and UX, developing robust editing tools, and ensuring top-notch performance. We seek an individual who raises the bar for what’s achievable online and is passionate about crafting exceptional responsive, interactive, and enjoyable user experiences.In this role, you will:Collaborate closely with the founding team to design engaging user experiences.Execute critical projects that empower our customers daily.Rapidly prototype and iterate on new features and functionalities, driving ongoing innovation.Architect efficient and reusable frontend systems that support complex web applications.Contribute to shaping the direction of our design-led product.Qualifications5+ years of experience in frontend development.Proficiency in front-end development using TypeScript, React, NextJS, and Node.js.Strong skills in design and styling with frameworks like Tailwind or Material Design.Comprehensive understanding of the entire web stack, including protocols and web server optimization techniques.Familiarity with modern deep learning models (GPT, LLAMA, BERT, Whisper, Stable Diffusion, etc.).Capacity to grasp user challenges and convert them into features and products.A desire to thrive in a fast-paced, iterative startup environment.

Merge stands at the forefront of technology, providing innovative agentic tools and seamless customer-facing integrations for leading frontier LLMs, Fortune 500 companies, and B2B SaaS enterprises. Our platform features two flagship products: Merge Unified, which enables businesses to effortlessly integrate hundreds of applications through a single API, and Merge Agent Handler, which equips AI agents with secure access to a multitude of third-party tools. Renowned for its enterprise-grade capabilities, Merge oversees the entire integration lifecycle—from authentication and security to monitoring and maintenance. Countless organizations rely on Merge to enhance product development, streamline sales efforts, reduce customer attrition, and conserve engineering resources, allowing them to concentrate on their core offerings. Who are we looking for?We are seeking a proactive Solutions Engineer who will take charge of all technical interactions with prospects during their evaluation and deployment of Merge’s solutions. This role involves creating proofs of concept, providing technical demonstrations, and collaborating with engineering and platform teams to prioritize feature enhancements and resolve issues. As a Solutions Engineer, you will engage in high-value projects that command significant visibility both internally and externally.What you will do:Serve as the primary technical point of contact for prospects as they evaluate and implement Merge through proofs of concept and technical workshops.Develop and nurture relationships to ensure an exceptional developer experience.Collaborate with engineering and platform teams to identify product improvement opportunities based on insights gathered from prospects.Lay the groundwork for the rapid expansion of a successful solutions engineering team!

Merge Labs is a pioneering research laboratory dedicated to uniting biological intelligence with artificial intelligence, aiming to enhance human potential, autonomy, and overall experience. We are innovating groundbreaking methods for brain-computer interfaces that facilitate high-bandwidth interactions with the brain, seamlessly integrate advanced AI, and ensure safety and accessibility for all users.About the Team:At Merge Labs, we are developing the future of brain-computer interfaces through the integration of cutting-edge advancements in synthetic biology, neuroscience, AI, and non-invasive imaging. Our cross-functional data and software engineering team collaborates closely with wet-lab scientists, automation engineers, and data scientists to construct a digital infrastructure that expedites molecular discoveries and optimizes device performance.About the Role:We are seeking a Senior / Principal ML Engineer to lead the development and ownership of the digital infrastructure supporting Merge's extensive computational operations. In this role, you will design distributed training and inference systems, experiment tracking, and deployment frameworks, empowering data scientists to swiftly iterate on models encompassing de-novo molecular design, biophysical modeling, signal processing, and computer vision. Your architectural contributions will transform research prototypes into production-ready systems, enhancing the speed, rigor, and fluidity of every computational scientist's workflow.Key Responsibilities:Develop the scientific and engineering framework for active learning and closed-loop optimization, including data ETL, machine learning modeling, and library architecture.Work alongside computational scientists to establish achievable optimization goals and encode domain-specific knowledge and constraints.Create model registries, evaluation frameworks, and automated reporting systems for benchmarking and experimental comparisons.Implement CI/CD pipelines and resource orchestration using tools like Kubernetes, Ray, or Slurm.Define and manage the ML engineering roadmap, providing mentorship to other computational scientists while establishing best practices for code quality, testing, and reproducibility.

Dapster is actively seeking a Lead Hardware Engineer to become a pivotal part of our dynamic team. As a rapidly growing startup, this position offers the unique opportunity to influence our foundational technologies and products.About Dapster: We are dedicated to revolutionizing the market with AI-driven robotic picking solutions. Recently, we secured a significant pilot project with a top retailer, providing us with dilution-free funding to further develop our core technology.If you're eager to engage in innovative work alongside a talented and humble team, and want to share in the rewards of joining us at such an early stage, we’d love to hear from you!

About UsFlowGen Labs is an innovative startup situated in the vibrant San Francisco Bay Area, proudly backed by top-tier investors. Our dynamic and talented team is currently operating in stealth mode, focusing on creating an agentic platform that addresses some of the most challenging yet critical software issues faced by Global 2000 companies. We tackle complex business logic, essential systems, and extensive codebases where reliability is paramount. By integrating program analysis, developer tools, and code generation, we aim to revolutionize multi-year enterprise transformations, enabling teams to achieve results in a fraction of the time, all while ensuring verification, auditability, and real-world guarantees. Join us at the forefront of the intersection between ERP and artificial intelligence, and be part of a founding team that offers substantial equity and growth potential.Role SummaryAs the Founding Engineer, you will take charge of developing a zero-to-one product and its underlying infrastructure. Your responsibilities will include creating secure connectors and runtime systems that comprehend complex enterprise environments, enhancing developer experiences through innovative tools, and building an analysis and planning engine to modernize legacy code. You will collaborate closely with customers on impactful projects and play a key role in shaping our culture, engineering standards, and product roadmap.Design and implement the agentic layer, ensuring self-checking, reflection, and verification before results are delivered to users or downstream systems.Possess experience in orchestrating agentic workflows and retrieval augmented generation, with a preference for familiarity with LangGraph.Establish low-latency inference paths with comprehensive token-level observability.Productionize prompt pipelines, retrieval mechanisms, and light fine-tuning where it significantly impacts outcomes.Utilize AI tools actively, bringing innovative ideas for their application in development, testing, data management, and support.Exhibit an ownership mentality, effective communication, and the ability to make decisions with limited information.Demonstrate agility in a fast-paced environment, embracing new technologies with a problem-solving attitude.Why Join UsMake a direct impact on our product and company with minimal bureaucratic hurdles.Join a team that values high standards for craftsmanship, speed, and pragmatic delivery.

About TaktOur Vision: A world where factories are intelligent.At Takt, we are revolutionizing manufacturing by developing the cognitive capabilities of factories.Despite a decade of digitization efforts involving sensors, software, and dashboards, many factories remain unintelligent. Data is often scattered across various disconnected systems, trapped in reports, and reliant on the unwritten know-how of individuals.The challenge lies not in data collection, but in transforming this data into actionable institutional intelligence.Takt is advancing the manufacturing landscape by seamlessly integrating AI agents with deep operational context throughout the entire production stack. Our systems analyze what is happening, why it is occurring, and what actions to take, acting as a continuous strategic advisor for factory leadership across sales, operations, supply chain, and finance.This is not merely another chatbot or analytics tool; we are at the forefront of AI reasoning and decision-making in critical, real-world environments. Just as Tesla redefined automobiles as software-centric systems, Takt is transforming manufacturing into a software-driven industry.FundingTakt is proudly backed by Pear VC (investors in Doordash and Gusto) and is a participant in the PearX accelerator program.Visit our website: www.taktconnect.comFoundersTakt was founded by Adhitya Raghavan (CEO) and Will Zunker (CTO). Adhitya's journey from a small village in South India to leading Takt is fueled by his personal experiences on factory floors. His path led him through prestigious institutions such as Princeton (Mechanical & Aerospace Engineering), Harvard (MBA, Baker Scholar), and Bain, and now he is committed to addressing the $8 trillion waste problem in the manufacturing sector.

Senior Product Engineer (Full-Stack)About embedding-vcOpenArt, a pioneering platform at embedding-vc, utilizes AI to revolutionize storytelling and visual creation, serving millions across the globe. We are on a mission to develop the future of creative tools enhanced by advanced AI technology, enabling users to craft videos, visuals, characters, and narratives with unprecedented speed and ease.Why Choose to Work with Us?Join a small, dynamic team where senior engineers take full ownership of significant systems from start to finish.Experience rapid deployment at scale — your contributions will impact millions.Be part of a founder-led engineering culture that values deep involvement in product and architectural decisions.Engage with an AI-native product that is at the forefront of transforming advanced models into tangible user experiences.Thrive in a low-process, high-trust environment where your judgment, clarity, and speed are paramount.Your RoleWe are seeking a Senior Product Engineer (Full-Stack) to take charge of intricate, user-facing systems from conception to execution. This multifaceted role requires proficiency across frontend UX, backend systems, APIs, and data models, allowing you to balance product speed, scalability, and long-term sustainability effectively.You will collaborate closely with the founders to design, construct, and refine core AI-driven workflows, acting both as a strong technical leader and a thoughtful product strategist.Your ContributionsGuide product features from initial concept and UX design through to backend integration and successful deployment.Architect scalable backend systems, APIs, asynchronous pipelines, and AI inference workflows.Lead system design initiatives with a focus on performance, reliability, and scalability.Create clean, scalable data models across both SQL and NoSQL databases.Develop seamless frontend experiences utilizing React / Next.js.Make informed technical trade-offs and communicate them effectively.Work closely with Product, Design, and Go-to-Market teams.Mentor fellow engineers and elevate the overall engineering standards.Shape architecture, tooling, and engineering best practices.Desired QualificationsEssential SkillsProven full-stack experience with a track record of shipping scalable production systems.Capacity to independently design and deliver complete features.Demonstrated ability to make pragmatic design decisions that balance speed and quality.Excellent communication and collaboration skills to work effectively with diverse teams.Strong problem-solving abilities and a passion for innovation in engineering.

About ArcadeArcade is dedicated to empowering teams to become exceptional storytellers by creating dynamic visual experiences. Our platform is utilized by over 22,000 teams to enhance their product narratives. We are a team of former Atlassian, AngelList, and Shopify professionals who believe in crafting beautiful, user-friendly products that significantly enhance how software companies present their offerings throughout the customer journey.While our team operates globally, we encourage new members to join us in a hybrid working environment based in our San Francisco, CA office. This is preferred but not mandatory.

Agility Robotics stands at the forefront of robotic innovation. Our groundbreaking robot, Digit, is the first of its kind to be integrated into workplaces worldwide. Our talented team is characterized by its remarkable ability to conceive, design, and implement robots that exhibit advanced mobility, dexterity, intelligence, and efficiency—robots crafted to collaborate seamlessly with humans in environments tailored for them. Daily, we confront engineering obstacles and pioneer innovative solutions that will eventually make robots a common and friendly presence in our lives. This endeavor is not just our passion; it is our duty: our mission is to enhance business productivity and enrich people's lives.About The RoleWe are on the lookout for a Staff Firmware Engineer who will be pivotal in planning the firmware architecture for our robots, designing subsystems, and developing robust and reliable firmware across our entire robot lineup. In this role, you will work in tandem with a diverse team of engineers to comprehend the unique specifications of our products and ensure our robot designs are resilient and primed for production. Additionally, you will act as a key liaison between hardware components and advanced robot control algorithms by documenting interfaces and offering support to fellow engineers.LocationThis position is available at our office in the San Francisco Bay Area. Regular travel to Salem, typically one week per month, will be necessary.About The Work:Contribute to the C++ firmware architecture that powers our robot's low-level sensor network, control systems, and power management.Develop the firmware communication layer utilizing EtherCAT and CAN protocols.Write firmware for the hardware abstraction layer, peripheral drivers, and applications.Conduct real-time hardware testing and debugging with benchtop test equipment such as logic analyzers and oscilloscopes.

About UsFlowGen Labs is a dynamic startup located in the San Francisco Bay Area, fully funded by top-tier investors. We specialize in creating innovative developer tools and AI-driven platforms tailored for complex enterprise software solutions, including code generation, workflow automation, and enterprise-grade deployments. Join our exceptional founding team and take on a pivotal technical leadership role that offers significant equity and the potential for substantial growth, all at the forefront of ERP and AI technology.Role SummaryAs the Software Engineering Lead, you will be responsible for defining architecture, setting standards, and delivering comprehensive solutions from inception to deployment. This hybrid role combines core platform design in cloud environments (AWS/Azure) with hands-on, client-facing delivery. You will spearhead projects involving Node.js services, AI and agent workflows, and integrations with enterprise systems, ensuring high quality and reliability in all outputs.Expertise in Cloud and Systems Design, focusing on secure, scalable systems that incorporate networking, autoscaling, and multi-tenant architectures. Proficiency in Infrastructure as Code utilizing Terraform or CDK, coupled with strong observability practices using metrics, tracing, logs, and SLOs.Application Engineering skills, with robust knowledge in Node.js and TypeScript for APIs and services. Experience with PostgreSQL and familiarity with vector databases such as pgvector, Pinecone, or Milvus for retrieval and semantic search.Experience in orchestrating agentic workflows and retrieval-augmented generation. Knowledge of LangGraph is advantageous.DevOps and Delivery expertise, embracing solid engineering practices such as CI/CD using GitHub Actions or GitLab CI, automated testing, code reviews, and trunk-based development. Proficient with Docker and modern release management techniques.Hands-on experience with AI tools, bringing innovative ideas for applying AI in development, testing, data handling, and support.A strong ownership mentality, excellent communication skills, and the ability to make informed decisions with 80% of the necessary information.The ability to move quickly without compromising quality, a willingness to learn new technology stacks, and a proactive problem-solving attitude.Why Join UsMake a direct impact on product and company direction with minimal bureaucracy.Join a team that holds a high standard for craftsmanship, speed, and pragmatic delivery.LogisticsTotal compensation ranges from $240,000 to $400,000.Base salary is between $160,000 and $250,000, complemented by significant founding equity.This position requires in-person attendance in the San Francisco Bay Area.Visa support and sponsorship are available.

Who We AreAt Twelve Labs, we are at the forefront of creating innovative multimodal foundation models capable of understanding videos as humans do. Our groundbreaking models have set new benchmarks in video-language modeling, enhancing our capabilities and fundamentally changing how we engage with and interpret diverse media formats.Backed by an impressive $107 million in Seed and Series A funding, our organization enjoys support from prestigious venture capital firms including NVIDIA's NVentures, NEA, Radical Ventures, and Index Ventures, along with visionary leaders in AI such as Fei-Fei Li, Silvio Savarese, and Alexandr Wang. With our headquarters in San Francisco and a significant presence in Seoul, our global reach reflects our dedication to fostering innovation worldwide.We celebrate the individual journeys of our team members, recognizing that our diverse cultural, educational, and life experiences enable us to continuously challenge the status quo. We seek passionate individuals who resonate with our mission and are eager to create a meaningful impact as we expand the horizons of technology to reshape the world. Join us in our quest to revolutionize video comprehension and multimodal AI.About the RoleAs a Senior Backend Software Engineer at Twelve Labs, you will play a pivotal role in developing the server-side infrastructure that powers our new agentic application layer. You'll be an integral part of a small, high-impact team, taking ownership of the essential transition from prototype to a production-ready platform.Travel Requirements: Up to 25% travel to Los Angeles is expected.Candidates should be prepared to travel up to 10% annually for conferences, off-site meetings, and other business-related activities as required. This position may involve participating in on-site interviews and in-person onboarding processes.Your ResponsibilitiesBackend DevelopmentDesign and implement backend services for video processing workflows, including ingestion, transcoding, 4K export, metadata extraction, and timeline operations.Architect scalable and reliable systems to support enterprise-level video workloads using cloud-native infrastructure (AWS, GCP).Develop and optimize APIs that power real-time and asynchronous frontend workflows, focusing on streaming data delivery and long-running job orchestration.Ensure performance and reliability of distributed video processing pipelines, meeting low latency and high throughput requirements.

Join our dynamic team at unto-labs as a Product Engineer where you will be at the forefront of innovation. In this role, you will design, develop, and enhance our cutting-edge products while collaborating with cross-functional teams. Your contributions will directly impact the product lifecycle, from conceptualization to deployment.