Staff Software Engineer with a Focus on Systems Engineering

Ironclad is at the forefront of revolutionizing contract management through its advanced AI contracting platform, which transforms agreements into strategic assets. Our platform accelerates the contracting process, delivers immediate insights, and empowers teams to drive progress, all while keeping you in control. Whether facilitating purchases or sales, Iro…

Vivodyne: Innovating Human Data for Clinical Trials.At Vivodyne, we revolutionize the discovery, design, and development of human therapeutics. By utilizing large, lab-grown human organ tissues at unprecedented scale, we propel technological advancements at the intersection of cutting-edge biology, robotics, and artificial intelligence. Our innovative approach allows us to identify and validate new therapeutic targets while de-risking therapeutic assets through the generation of clinically translatable multi-omic data. This capability enables the production of more human data than all clinical trials in the U.S. combined. We are supported by some of the most prestigious venture funds and have established partnerships with many of the world's leading pharmaceutical companies to enhance drug discovery and development while significantly reducing reliance on animal testing.www.vivodyne.comRole OverviewAs the Principal Mechanical Engineer at Vivodyne, you will collaborate within a dynamic, multi-disciplinary team, pioneering advancements in automated, large-scale "organ-on-a-chip" robotics and associated manufacturing systems. Your primary focus will be on the development and optimization of hardware and software that coordinates robotic arms, embedded controllers, and microfluidic systems to facilitate high-throughput and high-precision biological workflows.This position demands a strong expertise in hardware, although knowledge in software is beneficial. You will engage with high-level motion control, machine vision, and robotics programming, working primarily with Python, while occasionally interacting with C# and C++ codebases to ensure seamless system integration and optimal performance.As an expert in mechanical design, you have a deep understanding of concepts like kinematic docking, material selection (440 vs 316), finite element analysis (FEA), and error budgets. You are well-acquainted with suppliers such as McMaster-Carr, Misumi, and Grainger.Collaboration is essential in this role; you will work closely with mechanical engineers, biologists, immunologists, AI scientists, and process engineers to design and enhance automation workflows that lead to groundbreaking discoveries. We seek a problem-solver who thrives in a fast-paced, innovative environment that prioritizes continuous learning and technical excellence.This is a full-time, onsite position located in San Francisco, where you will be integral to designing, building, and testing transformative technologies.

About AbridgeFounded in 2018, Abridge is dedicated to enhancing healthcare understanding through innovative AI solutions. Our platform is tailored for medical conversations, streamlining clinical documentation and allowing healthcare professionals to prioritize patient care.We offer cutting-edge technology that converts patient-clinician dialogues into structured clinical notes in real-time, seamlessly integrating with EMR systems. With our auditable AI and the unique capability to map AI-generated summaries to verified data, we build trust among healthcare providers. As trailblazers in generative AI for healthcare, we are establishing industry best practices for responsible AI deployment across health systems.Our dynamic team comprises practicing MDs, AI specialists, PhDs, creative thinkers, technologists, and engineers, all focused on empowering individuals and making healthcare more comprehensible. Our offices are located in San Francisco's Mission District, New York's SoHo, and Pittsburgh's East Liberty.The RoleIn the position of Staff IT Automation Engineer, you will take on a pivotal technical leadership role, responsible for enhancing efficiency and scalability throughout our corporate IT infrastructure and enterprise ecosystem. You will architect, develop, and maintain essential automation solutions that remove manual processes, enhance security, and elevate the global employee experience. This role demands extensive engineering expertise, a product-oriented mindset for automation, and the ability to mentor junior engineers while addressing complex integration and scaling challenges. You will collaborate closely with IT leadership, Security leadership, and departmental heads across the organization.What You'll DoSaaS Ecosystem Automation: Spearhead the design and implementation of automated workflows for provisioning, de-provisioning, and user management across key SaaS applications, including Google Workspace, Slack, GitHub, Notion, Rippling, and other core business tools.Workflow Automation: Create scalable, resilient workflow automation solutions to optimize essential business processes such as onboarding, offboarding, access requests, compliance enforcement, and self-service IT support.Asset Management Automation: Develop and implement solutions for the automated lifecycle management of various endpoints and assets, including corporate laptops, among others.

Role overview Checkr is hiring a Staff Software Engineer, Integrations to support and enhance the company’s integration services. This position centers on building and refining solutions that connect the Checkr platform with external systems. The goal is to increase both connectivity and operational efficiency. As a member of the engineering team, this person will influence how the platform works with partners and customers. What you will do Design and implement integration features that broaden the platform’s capabilities Work closely with other engineers to deliver solutions that are reliable and easy to maintain Troubleshoot and resolve technical issues related to integrations Spot opportunities for improvement and suggest actionable changes Requirements Strong problem-solving skills and attention to detail Experience developing or maintaining integration services Ability to collaborate effectively within an engineering team Location San Francisco, California, United States

Join Anthropic as a Finance Systems Integration Engineer, where you will play a vital role in streamlining our financial systems and enhancing integration processes. In this position, you will collaborate with cross-functional teams to design, implement, and optimize finance-related systems, ensuring robust data flow and accuracy. Your expertise will contribute to our mission of building safe and beneficial AI systems.

Airbnb connects millions of hosts and guests, offering stays and experiences in locations around the world. Since 2007, the company has helped over 2 billion guest arrivals discover new places and cultures. Role Overview The BizTech team at Airbnb is hiring a Staff Systems Engineer focused on Oracle EPM Planning systems. This role plays a key part in supporting the Finance team, acting as the technical architect and primary developer for the EPM environment. Main Responsibilities Design and develop scalable Oracle EPM solutions for Finance Budgeting and Forecasting. Build and refine financial forecasting models. Drive process improvements using AI technologies. Integrate EPM with data warehouse systems. Translate complex business requirements into technical solutions within Oracle EPM.

CoreWeave develops cloud infrastructure tailored for AI workloads. Since launching in 2017, the company has expanded rapidly and is now listed on Nasdaq (CRWV, as of March 2025). CoreWeave works with AI labs, startups, and large enterprises, providing high-performance compute resources and technical support. More information is available at www.coreweave.com. Role overview The Integration Engineer - Enterprise Systems will design and implement integrations across Finance and Supply Chain platforms. This position is part of the Strategy & Transformation team, which focuses on scaling and improving CoreWeave’s internal systems. Team members work closely with Finance, Accounting, Procurement, IT, and Engineering to modernize workflows and support data-driven decisions. What you will do Architect and build integrations for Finance and Supply Chain systems. Develop automated workflows using Workato and/or Boomi. Create and maintain APIs to support real-time data movement between business platforms. Collaborate with cross-functional teams to automate processes and improve system interoperability. Ensure data reliability and contribute to GenAI-enabled automation initiatives. Location This role is based in Livingston, NJ; New York, NY; Sunnyvale, CA; San Francisco, CA; or Bellevue, WA.

Role Overview The City and County of San Francisco's Department of Technology is hiring a Principal System Integration Engineer focused on enterprise systems with Python expertise. This position leads major integration projects that connect and enhance a wide range of internal systems. What You Will Do Design, develop, and implement integration solutions for enterprise systems Lead complex projects that require coordination across multiple platforms and teams Work closely with colleagues from different departments to solve technical challenges Improve system performance and reliability through thoughtful integration work Collaboration and Impact This role works at the intersection of technology and city operations. Projects often require input from diverse stakeholders and have a direct impact on how services run across the organization.

Fastly is looking for a Staff Engineer to join the Edge Systems Efficiency team. This role centers on enhancing the performance, scalability, and efficiency of Fastly’s edge computing platforms. The work has a direct impact on the reliability and speed of Fastly’s global infrastructure. What you will do Optimize edge systems for greater efficiency and improved performance. Collaborate with cross-functional teams to identify and resolve technical challenges. Apply technical expertise to support new solutions and drive improvements at scale. Locations Denver, CO New York City, NY San Francisco, CA

We are seeking a passionate and skilled Automation Engineer to join our innovative team in San Francisco. In this role, you will be responsible for designing, developing, and implementing automated systems that enhance operational efficiency and product quality. You will collaborate with cross-functional teams to identify automation opportunities and drive process improvements.

About Multiply LabsMultiply Labs is an innovative startup located in the vibrant city of San Francisco, California. Supported by prestigious tech and life science investors, including Casdin Capital, Lux Capital, and Y Combinator, our mission is to construct the most advanced robots globally and utilize them to democratize access to cutting-edge, life-saving therapies.We are at the forefront of transforming cell therapy manufacturing by creating state-of-the-art robotic systems that automate and scale the production of these critical treatments. Our robots enable biopharma companies to produce cell therapies efficiently while minimizing alterations to their existing processes, thus mitigating regulatory hurdles and risks. Unlike traditional methods that are often labor-intensive and exorbitantly costly (typically exceeding $1M per patient), our robotic solutions are designed to make these transformative therapies more accessible and affordable to patients in need.To discover more and to watch a video showcasing our robots in action, please visit us at www.multiplylabs.com and connect with us on LinkedIn.About the RoleIn the capacity of Senior Systems Integration Engineer, you will play a pivotal role as a technical leader, enhancing system reliability and ensuring that our automated manufacturing clusters operate with the precision essential for cell therapy production. You will take ownership of the robustness pipeline for our current systems, analyzing robot data to assess performance proactively. Your responsibilities will include driving system enhancements and resolving errors by investigating complex electromechanical issues that affect operational uptime. As we evolve, you will oversee the validation and approval process for new software releases prior to their deployment. Additionally, you will collaborate closely with hardware engineers to confirm that new designs incorporate testability and resilience from the outset of our next generation of technology.

About UsAt Twelve Labs, we are at the forefront of developing innovative multimodal foundation models capable of understanding videos in a human-like manner. Our state-of-the-art models are setting new benchmarks in video-language modeling, allowing for more intuitive interactions and transformative media analysis.With an impressive $107 million in Seed and Series A funding, we have garnered support from leading venture capital firms like NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, as well as esteemed AI pioneers such as Fei-Fei Li, Silvio Savarese, and Alexandr Wang. Our headquarters are in San Francisco, complemented by a strong presence in APAC, particularly in Seoul, highlighting our commitment to global innovation.We embrace the individuality of each team member’s journey. The diversity of our cultural, educational, and experiential backgrounds fuels our drive to challenge the norm. We seek passionate individuals eager to contribute to our mission and make a significant impact as we redefine the landscape of technology. Join us in revolutionizing video comprehension and multimodal AI.Role OverviewAs a Senior Staff Software Engineer, you will take charge of the infrastructure and integration layer that ensures Twelve Labs models are seamlessly accessible on partner platforms. Your responsibilities will encompass everything beyond the models, including packaging, validating, deploying model containers, designing API surfaces for various platforms, routing requests, and maintaining production reliability across diverse cloud environments.You will collaborate closely with our Science, Product, and ML Engineering teams to align model and product roadmaps for successful platform integrations. Your expertise in external model orchestration will be pivotal; you will need to comprehend model component functionalities to make informed integration decisions, although model optimization will not be part of your role. Your contributions will significantly enhance our capacity to reliably deliver new model versions and features to users across all platforms.Willingness to travel up to 10% annually for conferences, off-site meetings, and other business-related events is expected. Participation in on-site interviews and/or in-person onboarding processes may also be required.

Join Our TeamAt Parallel, we are pioneers in web infrastructure, empowering leading industries—including sales, marketing, insurance, and coding—to create state-of-the-art AI agents with flexible, programmatic access to the web. We have successfully secured $130 million in funding from top-tier investors such as Kleiner Perkins, Index Ventures, and Khosla Ventures, allowing us to expand our mission.As a Member of Technical Staff specializing in Developer Integrations, you will play a crucial role in designing and building robust API integrations within the fast-paced AI landscape. Your expertise will facilitate seamless connections between our platform and various third-party AI tools, including developing custom nodes, plugins, or connectors that enhance functionality and enable novel workflows.

ABOUT JUUL LABS: At Juul Labs, our mission is to revolutionize the landscape of smoking by guiding a billion adult smokers away from combustible cigarettes. We are dedicated to eradicating the use of these harmful products while also addressing underage consumption of our offerings. Our commitment to exceptional quality, innovative research, and design empowers us to tackle one of the world’s most challenging public health issues. Supported by notable technology investors, we are equally dedicated to attracting and hiring top-tier talent. Our diverse team is united by a shared purpose, and we are actively seeking the best engineers, scientists, designers, product managers, operations specialists, and customer service professionals. If you're looking for a fulfilling opportunity to advance your career while making a positive impact, we encourage you to explore this position further. ROLE OVERVIEW: We are in search of an Enterprise Systems Engineer who will leverage AI as a core element of our enterprise systems implementation, integration, and operations. This role will take charge of the technical execution of our Workday and ERP ecosystem, utilizing advanced AI technologies such as Claude, Gemini, and Cursor to enhance implementation speed, integration quality, and ongoing system improvement. The ideal candidate will not only connect systems but will also create a robust, autonomous integration layer, combining deep platform expertise with the discernment to know when to configure, code, or let AI handle processes. KEY RESPONSIBILITIES: Act as a cross-functional technical authority within the Workday and ERP ecosystems, ensuring data integrity and alignment with evolving business demands. Identify and implement low-friction AI use cases across Enterprise Systems, optimizing internal operations. Lead Workday and ERP implementations using AI-enhanced methodologies, from requirements gathering to post-launch support. Utilize Cursor with LLM-pair programming (Claude/Gemini) to significantly enhance development speed for integrations, transformation scripts, and API documentation. Create and maintain UAT test scripts, data migration mappings, and functional specifications using AI tools to minimize manual documentation efforts. Produce comprehensive technical documentation to support all aspects of system integration and operation.

Role Overview The Department of Technology at the City and County of San Francisco is hiring a Principal System Integration Engineer (Enterprise Systems). This position leads integration efforts for enterprise systems, focusing on Oracle BPEL and SOA methodologies. The work directly supports technology projects that strengthen city operations and public services. Key Responsibilities Guide the integration of complex enterprise systems across city departments Apply Oracle BPEL and SOA practices to ensure reliable, efficient system connections Support technology initiatives that improve how city services are delivered Location This role is based in San Francisco.

Join DoorDash Labs as a Senior Systems Engineer, where you will play a pivotal role in designing and integrating our advanced delivery platforms. You will define precise system requirements and interfaces that unite our hardware, software, and operational teams into a cohesive, reliable system. Your expertise will help translate high-level business objectives into actionable engineering specifications, ensuring our delivery solutions meet rigorous performance, safety, and regulatory standards. We are looking for a candidate with a strong background in complex system development, particularly in aerospace, autonomous vehicles, or similar safety-critical fields. You will thrive in a collaborative, fast-paced environment, leveraging your systems-level thinking to drive impactful results.

About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) is a premier online personal styling service that empowers individuals to discover and embrace their unique styles. By expertly blending skilled stylists with cutting-edge AI and recommendation algorithms, we curate an exceptional selection of both exclusive and national brands, tailored to meet each client's distinct tastes and preferences. Founded in 2011 and headquartered in San Francisco, Stitch Fix revolutionizes the way people shop, making it effortless for clients to express their personal style without the hassle of navigating through endless options in stores or online.About the TeamThe Business Systems team serves as the strategic technology and data partner for our core operations. We design and maintain the technological framework that supports our Finance, Procurement, Merchandising, and HR/People and Culture functions. By collaborating directly with business leaders, we create, implement, and enhance scalable systems while transforming our business data into a strategic asset. Our team is responsible for building and managing data engineering pipelines, analytics dashboards, and next-generation automation and Gen AI solutions that provide critical insights and empower leaders to make informed, data-driven decisions.About the RoleWe are on the lookout for a strategic Senior Engineering Manager to lead our Business Systems Data & Insights team, focusing on pivotal domains including Finance (Accounting, FP&A), Merchandising, Procurement, and HR/People & Culture. This high-impact role will allow you to shape how Stitch Fix utilizes data and AI to drive essential business decisions and influence company strategy. You will spearhead our data and AI transformation by constructing scalable data infrastructure, enhancing analytics capabilities, implementing intelligent automation, and accelerating the adoption of Gen AI across these critical business functions.

About GranicaGranica is a pioneering AI research and infrastructure company dedicated to creating reliable and steerable representations of enterprise data.We build trust through Crunch, a policy-driven health layer designed to keep extensive tabular datasets efficient, reliable, and reversible. From this foundation, we are developing Large Tabular Models—systems that learn cross-column and relational structures to provide trustworthy answers and automation, complete with built-in provenance and governance.Our MissionThe current limitations of AI are not solely due to model design but also to the inefficiencies of the data that supports it. At scale, every redundant byte, poorly organized dataset, and inefficient data path contributes to significant costs, latency, and energy waste.Granica’s mission is to eliminate these inefficiencies. We leverage cutting-edge research in information theory, probabilistic modeling, and distributed systems to create self-optimizing data infrastructures that continuously enhance how information is represented and utilized by AI.Our engineering team collaborates closely with the Granica Research group led by Prof. Andrea Montanari from Stanford University, merging advancements in information theory and learning efficiency with large-scale distributed systems. We believe that the next major breakthrough in AI will stem from innovations in efficient systems, rather than simply larger models.What You Will CreateGlobal Metadata Substrate. Design and refine the global metadata and transactional substrate that enables atomic consistency and schema evolution across exabyte-scale data systems.Adaptive Engines. Architect systems that self-optimize, reorganizing and compressing data according to access patterns, achieving unprecedented efficiency improvements.Intelligent Data Layouts. Innovate new encoding and layout strategies that challenge the theoretical limits of signal per byte read.Autonomous Compute Pipelines. Spearhead the development of distributed compute platforms that scale predictively and maintain reliability even under extreme load and failure conditions.Research to Production. Partner with Granica Research to transform advances in compression and probabilistic modeling into production-ready, industry-leading systems.Latency as Intelligence. Propel systems forward by optimizing for latency as a key aspect of intelligence.

Join our dynamic team at Lightfield as a Staff Engineer specializing in Backend Systems. We are looking for a passionate engineer who thrives in a fast-paced environment and is eager to innovate and contribute to the design and implementation of our backend architecture. You will collaborate closely with cross-functional teams to deliver high-quality solutions that enhance our products and services.