Software Engineer – 3D Modeling at Hover | San Francisco

Benchling creates software tools for scientists and biotech companies, supporting research and development across the globe. The platform serves more than 200,000 scientists, including teams at organizations like Sanofi and Moderna, as well as academic research labs. By connecting experiments, structured data, and AI-powered insights, Benchling works to reduce the time it takes for discoveries to reach real-world applications. Role overview This Software Engineer position focuses on integrating advanced scientific AI models into the Benchling platform. The main responsibility is to build a scalable system for hosting and managing scientific models, while also developing frameworks that allow model creators to bring their solutions into the Benchling environment. What you will do Develop and maintain a platform that supports scientific AI models at scale. Create frameworks that make it easier for model developers to contribute to Benchling. Experiment with new technologies to improve model integration and performance. Work closely with internal teams and external partners to deliver solutions. Help shape how scientists design molecules and apply AI in their research workflows. Location This role is based in San Francisco, CA.

Biotechnology is transforming the world around us—impacting the medicines we use, the crops we cultivate, the fabrics we wear, and the essential products we depend on daily. To keep pace with the rapid advancements in science, we need cutting-edge technology.At Benchling, our mission is to harness the potential of biotechnology. The most innovative biotech firms leverage Benchling’s R&D Cloud to facilitate the development of revolutionary products, shortening the time to key milestones and market entry.Join us in revolutionizing science through modern software solutions.ROLE OVERVIEWWe are a dedicated team focused on developing AI tools for scientists, including agents that automate repetitive tasks and models that enhance molecular design. Our aim is to democratize AI accessibility, empowering every scientist to utilize these advancements. As a member of our engineering team, you will create product experiences that promote AI adoption among the vast community of scientists using Benchling. You will combine robust technical expertise with a keen product sense, optimizing onboarding processes, creating viral engagement strategies, and guiding scientists in effectively integrating AI into their daily activities. Given that we are at the forefront of scientific AI, both at Benchling and in the broader industry, we will iterate quickly based on customer feedback and adapt our strategies to discover the best pathways for development and market engagement. Our success hinges on our curiosity and commitment to our customers.

At the forefront of biotechnology, Benchling is revolutionizing the way we interact with life sciences—from the medicines we consume to the crops we cultivate, and the materials we utilize daily. As the pace of scientific advancement increases, the need for cutting-edge technology becomes paramount.Benchling’s mission is to unlock the vast potential of biotechnology. Our R&D Cloud is trusted by the most pioneering biotech firms to expedite the development of innovative products, significantly reducing time to market and milestones.Join us in merging modern software solutions with contemporary scientific endeavors.ROLE OVERVIEWAs a Software Engineer on our Developer Enablement team, you will be instrumental in crafting the platform that facilitates our community of scientific applications. Your role transcends traditional coding; you will influence how developers, partners, and researchers engage with Benchling’s offerings, empowering them to develop tools that bolster transformative research. Your contributions will be pivotal in reshaping the scientific landscape and enhancing the integration of third-party solutions across our platform.Our team is engaged in a variety of innovative early- and mid-stage projects, including developer APIs, event delivery systems, AI-driven agents, and new platform infrastructure aimed at fostering a robust ecosystem of scientific applications. This diversity provides our engineers with the flexibility to pursue projects that resonate with their personal interests and professional skills, underlining the role's designation as a “Developer Platform Engineer.”This is a hands-on, high-impact position where your work will be recognized throughout the organization and by scientific users globally. You will collaborate closely with product managers, designers, and fellow engineers, addressing complex challenges while expanding your expertise in platform development and life sciences.

The biotechnology sector is revolutionizing our world, influencing everything from the medications we consume to the crops we cultivate, the apparel we wear, and the household essentials we depend on each day. To keep pace with the rapid advancements in science, we require superior technology.Benchling is dedicated to unleashing the potential of biotechnology. The most pioneering biotech firms utilize Benchling’s R&D Cloud to facilitate the creation of groundbreaking products and expedite their journey to market and milestone achievements.Join us in our quest to modernize software for contemporary science.ROLE OVERVIEWBenchling aims to fast-track life sciences research and development. We develop a comprehensive suite of tools that scientists employ daily to address critical global challenges. Our tools must be fine-tuned to enhance scientists' efficiency across a wide range of research, development, and manufacturing processes. This is where our Data Input team plays a crucial role.The Data Input team is responsible for creating platforms and user experiences that empower scientists and lab operators to efficiently gather and manage their data. We design structured tables, forms, and data entry tools that allow scientists to input, transform, and relay their laboratory data seamlessly. Our focus encompasses not only the user experience for scientists in the lab but also the integration capabilities for software developers who utilize our components in their applications. Increasingly, we are integrating AI-driven features that make data entry quicker, more precise, and more insightful.Our team is responsible for components utilized by over 90% of Benchling's customers and plays a pivotal role in initiatives that have a company-wide impact. Currently, we are concentrating on enhancing the fundamental capabilities of the platform that is the backbone for Benchling's most essential applications—investing in foundational re-architecture, performance enhancements, and scalability efforts that will unlock new APIs, AI features, and future product functionalities. This is technically challenging work that requires careful planning and a long-term perspective. This position is perfect for managers who thrive in deep technical environments, have a proven history of guiding teams through extensive refactoring and platform migrations, and take pride in constructing the foundations that lead to significant customer successes.

Role overview The Product Support Analyst at Benchling works as part of the customer success team in San Francisco. The main goal is to help users get the most out of Benchling’s products, making sure they have a positive and productive experience with the platform. What you will do Answer user questions and address technical problems as they arise Assist with onboarding new customers to the Benchling platform Gather user feedback and communicate it to the product team This position helps ensure customers receive timely support and guidance, contributing to a smooth and supported journey as they use Benchling’s tools.

As a Strategic Account Executive at Benchling, you will play a pivotal role in driving our growth by building strong relationships with key clients in the life sciences industry. You will leverage your expertise to identify client needs and deliver innovative solutions that enhance their operational efficiency.Your responsibilities will include managing a portfolio of strategic accounts, collaborating with cross-functional teams, and developing tailored strategies to ensure client success and satisfaction.

Benchling is building AI-powered tools to accelerate biotech research and development. The team’s work supports scientists worldwide, helping move discoveries from the lab to real-world applications in healthcare and agriculture. By combining structured scientific data with artificial intelligence, Benchling aims to make research more efficient and accessible. Over 200,000 scientists use Benchling’s platform, including teams at leading biopharma companies and academic institutions. The company’s mission centers on developing an "AI scientist" to enhance productivity across the biotech industry. This vision starts with building AI expertise within the team itself. Role overview This Software Engineer position sits on the AI Agents team. The focus is on building end-to-end AI solutions that automate complex, time-consuming scientific tasks. These AI agents support scientists with experiment design, data analysis, and report generation. What you will do Design and implement AI agents that streamline scientific workflows Automate tasks such as experiment planning, analyzing results, and preparing scientific reports Iterate on solutions based on direct user feedback, ensuring tools meet real-world needs Impact Your work will help scientists operate more efficiently and focus on discovery. The solutions you build will be used by researchers at the forefront of biotech innovation.

Benchling is hiring a Software Engineer focused on Developer Enablement in San Francisco, CA. This position centers on improving the experience for fellow developers and supporting engineering teams with the right tools and frameworks. Role overview This role involves designing and building internal tools that help engineering teams work more efficiently. The aim is to create frameworks that make integration and deployment of Benchling products smoother and more reliable. Collaboration Frequent collaboration with both product and engineering teams is a key part of this position. Working together, you will help ensure that new solutions fit seamlessly into existing workflows and support Benchling’s technical goals. What you will do Develop and maintain tools that improve the developer experience Work closely with other teams to support integration and deployment processes Contribute to frameworks that empower engineering across the company

Join our dynamic team at Benchling as a Software Engineer focused on our Developer Platform. In this role, you will work collaboratively to design, develop, and enhance our platform tools, ensuring they meet the evolving needs of our users. Your contributions will directly impact our mission to accelerate life sciences research.

As a Senior Staff Software Engineer specializing in Model LifeCycle at Crusoe, you will play a vital role in shaping the future of software solutions that optimize and enhance our innovative operations. You will lead complex projects, mentor junior engineers, and collaborate with cross-functional teams to deliver high-impact results.

Role overview Benchling seeks a Full Stack Software Engineer to join the Enterprise Lifecycle team in San Francisco, CA. This position centers on building and maintaining software applications that advance work in the life sciences. Collaboration with cross-functional teams is a key part of the role, ensuring software solutions meet the needs of scientific and enterprise users. What you will do Develop and maintain features across both front-end and back-end systems Partner with product managers, designers, and engineers to translate complex requirements into working software Contribute to user experiences that enable scientific research and enterprise operations Requirements Background in both front-end and back-end development Strong collaboration skills with multidisciplinary teams Interest in building software tools for the life sciences sector

About TroveoAt Troveo, we are revolutionizing the data landscape by creating an advanced data platform tailored for training AI video models. We boast the world’s most extensive library of licensed AI video training data, encompassing millions of hours of curated video content. Our holistic data pipeline bridges the gap between creators, rights holders, and AI research laboratories, facilitating innovative, scalable, and compliant applications of video for AI model development.As an early-stage startup backed by visionary investors, we are on the lookout for a skilled and technically proficient Software Engineer to enhance and optimize our content delivery systems.Role OverviewIn the role of Software Engineer, Delivery, you will be responsible for ensuring the reliability, performance, and scalability of Troveo’s video content delivery infrastructure. This hands-on position merges systems engineering with data-centric development, aimed at facilitating seamless transfer and processing of petabyte-scale video data.Your expertise will be pivotal across data transport, distributed processing, and client integration layers, as you build efficient and fault-tolerant systems that drive Troveo’s comprehensive AI data pipeline. We seek candidates with a robust understanding of algorithms, concurrency, and network programming, combined with a practical approach to maintaining production-grade reliability.

ABOUT BASETENAt Baseten, we are at the forefront of AI innovation, providing critical inference solutions for leading AI companies like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. Our platform combines advanced AI research, adaptable infrastructure, and intuitive developer tools, empowering organizations to deploy state-of-the-art models effectively. With rapid growth and a recent $300M Series E funding round backed by top-tier investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we invite you to join our mission in building the platform of choice for engineers delivering AI products.THE ROLE:As a member of Baseten’s Model Performance (MP) team, you will play a pivotal role in ensuring our platform’s model APIs are not only fast and reliable but also cost-effective. Your primary focus will be on developing and optimizing the infrastructure that supports our hosted API endpoints for cutting-edge open-source models. This role involves working with distributed systems, model serving, and enhancing the developer experience. You will collaborate with a small, dynamic team at the intersection of product development, model performance, and infrastructure, defining how developers interact with AI models on a large scale.RESPONSIBILITIES:Design, develop, and maintain the Model APIs surface, focusing on advanced inference features such as structured outputs (JSON mode, grammar-constrained generation), tool/function calling, and multi-modal serving.Profile and optimize TensorRT-LLM kernels, analyze CUDA kernel performance, create custom CUDA operators, and enhance memory allocation patterns for maximum efficiency across multi-GPU setups.Implement performance improvements across various runtimes based on a deep understanding of their internals, including speculative decoding, guided generation for structured outputs, and custom scheduling algorithms for high-performance serving.Develop robust benchmarking frameworks to evaluate real-world performance across diverse model architectures, batch sizes, sequence lengths, and hardware configurations.Enhance performance across runtimes (e.g., TensorRT, TensorRT-LLM) through techniques such as speculative decoding, quantization, batching, and KV-cache reuse.Integrate deep observability mechanisms (metrics, traces, logs) and establish repeatable benchmarks to assess speed, reliability, and quality.

About Our TeamJoin the Inference team at OpenAI, where we leverage cutting-edge research and technology to deliver exceptional AI products to consumers, enterprises, and developers. Our mission is to empower users to harness the full potential of our advanced AI models, enabling unprecedented capabilities. We prioritize efficient and high-performance model inference while accelerating research advancements.About the RoleWe are seeking a passionate Software Engineer to optimize some of the world's largest and most sophisticated AI models for deployment in high-volume, low-latency, and highly available production and research environments.Key ResponsibilitiesCollaborate with machine learning researchers, engineers, and product managers to transition our latest technologies into production.Work closely with researchers to enable advanced research initiatives through innovative engineering solutions.Implement new techniques, tools, and architectures that enhance the performance, latency, throughput, and effectiveness of our model inference stack.Develop tools to identify bottlenecks and instability sources, designing and implementing solutions for priority issues.Optimize our code and Azure VM fleet to maximize every FLOP and GB of GPU RAM available.You Will Excel in This Role If You:Possess a solid understanding of modern machine learning architectures and an intuitive grasp of performance optimization strategies, especially for inference.Take ownership of problems end-to-end, demonstrating a willingness to acquire any necessary knowledge to achieve results.Bring at least 5 years of professional software engineering experience.Have or can quickly develop expertise in PyTorch, NVidia GPUs, and relevant optimization software stacks (such as NCCL, CUDA), along with HPC technologies like InfiniBand, MPI, and NVLink.Have experience in architecting, building, monitoring, and debugging production distributed systems, with bonus points for working on performance-critical systems.Have successfully rebuilt or significantly refactored production systems multiple times to accommodate rapid scaling.Are self-driven, enjoying the challenge of identifying and addressing the most critical problems.

OpenAI is seeking a Software Engineer in San Francisco to focus on improving productivity by optimizing model performance. This position centers on developing solutions that make machine learning models more efficient and effective. Role overview This role involves working closely with teams across different functions to identify and address areas where model performance can be improved. The aim is to deliver changes that have a measurable impact on both systems and workflows. What you will do Collaborate with engineers and other specialists to enhance model efficiency Develop and implement solutions that improve the effectiveness of machine learning systems Contribute to projects that streamline processes and drive productivity gains Impact Your work will help shape improvements in how models operate and how teams at OpenAI achieve their goals. The changes you help deliver will support more effective use of resources and better outcomes for the organization.

Thank you for your interest in joining the Uncountable Engineering team!Uncountable is on the lookout for enthusiastic recent graduates eager to embark on a data engineering career focused on managing customer datasets. Our mission is to transform the landscape of industrial research and development. We seek driven software engineers to develop tools that expedite the creation of new chemicals and materials.In this pivotal role, you will structure and ingest customer data into the Uncountable Web Platform, where scientists conduct and analyze their experiments. Your responsibilities will include (1) manipulating, transforming, and uploading R&D data using Python scripts, (2) establishing ETL pipelines between Uncountable and various data warehouses utilized by our customers, and (3) devising innovative solutions for users to import and export their data. This role requires a creative and analytical mindset, strong cross-functional communication skills, and the ability to sift through large datasets to identify necessary steps for data cleaning, processing, and uploading onto our platform.

Join Condor Software as a Full-Stack Platform EngineerAt Condor, we are revolutionizing the financial infrastructure that supports clinical development. With billions invested annually in discovering and developing new therapies, we strive to connect clinical operations and finance into a cohesive system. By integrating real-time financial intelligence, we empower R&D and finance leaders with the tools they need to make informed, high-stakes decisions.We are an AI-driven, pharma-native infrastructure provider, scaling industry standards in collaboration with top-tier partners. Our platform facilitates prediction, control, and execution in the most complex R&D environments worldwide.The Importance of Your RoleHaving established ourselves as a trusted partner for enterprise teams, we are now focused on the challenging task of scaling our platform to meet increasing demands. As a rapidly growing company, backed by prominent investors like Felicis and 645 Ventures, this is a unique opportunity to contribute to the foundational infrastructure that will redefine how therapies reach patients.Your ResponsibilitiesAs a Full-Stack Platform Engineer, you will be pivotal in building and scaling the core platform that supports the financial intelligence infrastructure relied upon by leading biopharma companies. This role encompasses critical engineering tasks at the intersection of backend systems, cloud infrastructure, and intelligent automation, with a strong emphasis on reliability and scalability.Your primary focus will be on backend architecture, where you'll design and implement services that drive complex financial and operational workflows. You'll be instrumental in shaping data flow, workflow orchestration, and enabling emerging AI-driven capabilities. This role goes beyond simple integration; you'll be crafting robust primitives that support other teams as our product and customer base expand.Working as a core member of a cross-functional product team, you will closely collaborate with product managers, designers, quality engineers, and data specialists to transition features from concept to production. While backend expertise is crucial, you will also engage across the stack to ensure the platform's capabilities are effectively leveraged.

About the RoleKPFF Consulting Engineers is in search of a talented Structural BIM Modeler to enhance our structural engineering projects in San Francisco. As an integral member of our production team, you will proficiently convert engineering concepts into precise, well-coordinated Revit models that drive the successful delivery of high-quality projects.Your collaboration with engineers and BIM leaders will ensure that the models you create facilitate effective design and construction processes. This position is ideal for individuals who thrive in detail-oriented roles and are passionate about teamwork and establishing a solid technical foundation in a dynamic, design-oriented atmosphere.What You’ll Be DoingDevelop and manage BIM models utilizing Revit, emphasizing accuracy, constructability, and effective coordination.Work collaboratively with engineers, BIM Leads, and project teams to advance structural design and address coordination challenges.Implement BIM standards and best practices, ensuring models align with project specifications and internal protocols.Facilitate project documentation, including drawings, views, schedules, and model-based outputs.Engage in model reviews and quality assurance, identifying and resolving discrepancies or conflicts.Leverage BIM tools to enhance efficiency, assisting teams in optimizing workflows and improving cross-discipline collaboration.Foster a cooperative team environment, valuing clear communication and collective problem-solving.

At Hover, we empower individuals to design, enhance, and safeguard their cherished properties. Utilizing proprietary AI technology built on over a decade of real property data, we provide answers to pressing questions such as “What will it look like?” and “What will it cost?” Homeowners, contractors, and insurance professionals depend on Hover to receive fully measured, accurate, and interactive 3D models of any property—achieved through a smartphone scan in mere minutes.We are driven by curiosity, purpose, and a collective commitment to our customers, communities, and each other. At Hover, we believe the most innovative ideas stem from diverse perspectives, and we take pride in fostering an inclusive, high-performance culture that encourages growth, accountability, and excellence. Supported by leading investors like Google Ventures and Menlo Ventures, and trusted by industry leaders including Travelers, State Farm, and Nationwide, we are transforming how people perceive and interact with their environments.Why Join Hover?At Hover, 3D models are not just a feature; they are the essence of our product. Each scan and data point we process empowers homeowners, insurers, and contractors to make informed, data-driven decisions. We are seeking a Software Engineer who has a passion for geometry, automation, and making a tangible impact in the real world. In this role, you will design and implement systems that convert customer-captured imagery into meticulously accurate 3D models, enhancing the scalability and precision of Hover’s modeling pipeline. You will work collaboratively with designers and engineers across frontend, backend, computer vision, and DevOps to bring innovative capabilities to fruition, blending technical expertise with strong communication and cross-functional collaboration.The 3D Modeling Pipeline team develops the tools essential for our in-house operations to transform customer-captured scans into highly detailed, accurate 3D models of buildings. This team is also responsible for creating the pipeline and systems that process 3D data through both automated and manual steps, as well as exporting data into customer-facing formats.Your Contributions Will Include:Owning and evolving backend systems that convert raw scan data into exact 3D models, ensuring timely delivery to key ecosystem partners like Xactimate and Cotality.Building and refining internal modeling tools that enable teams to efficiently generate, validate, and optimize high-quality 3D data.Collaborating with machine learning and computer vision engineers to implement new algorithms into production, bridging research with practical applications.Enhancing customer and partner experiences by improving how Hover’s 3D outputs integrate with downstream workflows and external platforms.Promoting innovation and ongoing enhancement across our modeling pipeline.