Software Engineer - New Graduate at Eventual | San Francisco

Software Engineer - New Graduate at Eventual (San Francisco, CA)About EventualAt Eventual, we empower developers to create the next generation of AI systems by seamlessly integrating multi-modal data and models. Every innovative AI application—from foundational models to autonomous vehicles—depends on processing vast amounts of images, videos, and complex datasets. However, current data platforms like Databricks and Snowflake are tailored for traditional spreadsheet-like analytics, not the petabytes of multi-modal data essential for AI.Founded in 2022, our mission is to transform the way data—be it images, video, audio, or text—is utilized, making it as intuitive as working with tables while ensuring scalability to support production workloads. Our open-source engine, Daft, is specifically designed for real-world AI systems, coordinating with external APIs, managing GPU clusters, and addressing failures that traditional engines cannot handle.Already, Daft supports crucial workloads at industry leaders like Amazon, Mobileye, Together AI, and CloudKitchens. With backing from Y Combinator, Caffeinated Capital, Array.vc, and prominent angels including co-founders of Databricks and Perplexity, we are just beginning our journey—and we invite you to join us.Please note: This position is full-time and based in our San Francisco office (Mission District). We prioritize in-person collaboration, requiring our engineers to be in the office at least 4 days a week.Your RoleAs a Software Engineering New Graduate, you will collaborate with our engineering team to contribute to Eventual’s core products and our open-source engine. You will gain practical experience in building distributed data systems and products, while learning to design, implement, and test features that support real-world AI and ML workloads.You will receive mentorship from our diverse team (ex-Databricks, AWS, Nvidia, Tesla, GitHub Copilot, Pinecone) and have the chance to make impactful contributions that reach production.Key ResponsibilitiesAssist in developing features for Eventual’s distributed query engine.Contribute to the development of Eventual’s cloud service.Write clean, maintainable code with guidance from senior engineers.Collaborate with the team to design and implement solutions for real-world data challenges.Help with testing, debugging, and documenting core system components.What We Look ForA recent graduate or within 1 year of graduation in Computer Science or related field.Strong understanding of programming languages such as Python, Java, or Scala.Familiarity with distributed systems and cloud computing concepts.Ability to work collaboratively in a team environment.Eagerness to learn and adapt in a fast-paced environment.

About EventualAt Eventual, we believe that every innovative AI application—from foundational models to self-driving vehicles—demands the ability to process vast amounts of images, video, and intricate data. Unfortunately, existing data platforms, such as Databricks and Snowflake, are designed for traditional spreadsheet-like analytics, not for the petabytes of multimodal data that truly drive AI advancements. This limitation leads teams to spend excessive time on fragile infrastructure, diverting them from essential research and product development.Founded in 2022, Eventual's mission is to revolutionize data querying, making it as intuitive as working with tables and robust enough to support production workloads. Our open-source engine, Daft, is specifically engineered for real-world AI systems. It effectively coordinates with external APIs, manages GPU clusters, and addresses failures that conventional engines cannot handle. Major companies like Amazon, Mobileye, Together AI, and CloudKitchens are already leveraging Daft for their critical workloads.Our team is composed of industry veterans from Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, Tesla, and beyond, and we've quadrupled our size within just a year. With Series A and seed funding from notable investors including Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, Array.vc, and prominent angel investors from the co-founders of Databricks and Perplexity, we are actively expanding our team. Join us—Eventual is only at the beginning of its journey.We are currently seeking passionate individuals to join our tight-knit team, who will work together in our San Francisco Mission district office four days a week.

Join Giga: Pioneering AI InnovationGiga is at the forefront of revolutionizing customer experiences through advanced AI technology. With a recent $61M Series A funding and a roster of prestigious clients like DoorDash, we are committed to developing real-time AI agents capable of understanding emotions, resolving issues swiftly, and scaling across the globe's largest enterprises.This is a pivotal moment for Giga as we aim to become the premier AI platform for enterprise automation, driven by our cutting-edge voice superintelligence. To reach our ambitious goals, we are on the lookout for talented engineers to join our dynamic team.Our engineers enjoy significant autonomy, allowing them to make impactful contributions from day one. With visionary founders, proven commercial success, and a clear trajectory towards becoming a generational company, this is a unique opportunity to be part of something extraordinary.Giga Secures $61M in Series A FundingPartnership Between DoorDash and GigaAt Giga, we empower the world's leading B2C companies to build trusted AI agents that enhance their support and operational workflows across various channels. If you are excited about being part of this innovative journey, we encourage you to apply!

Airbnb’s Quality Reputation team focuses on building customer-facing products that improve user experience and trust. This group develops systems to assess listing quality, highlight standout offerings, and protect users through proactive measures. Engineers here work closely with design, product management, data science, legal, and marketing to deliver reliable solutions. Role overview This iOS Software Engineer position is open to new graduates interested in shaping Airbnb’s mobile experience. The role involves creating, maintaining, and improving iOS features, with an emphasis on delivering high-quality, dependable products for Airbnb’s global community. Some projects may include AI-driven features, where a foundation in machine learning can help develop smarter, more personalized experiences for hosts and guests. Engineers in this role contribute to a collaborative culture, seek and share feedback, and help onboard new teammates. Independence, curiosity, empathy, and clear communication are valued. Following best practices and a commitment to continuous learning are important parts of the job. What you will do Participate in team meetings to discuss priorities, share updates, and address blockers Write code to fix bugs, develop new iOS features, and refine UI components with a focus on code quality Location This role is based in San Francisco, CA or Seattle, WA.

The Role As a new graduate Software Engineer focusing on Agentic AI Systems, are you ready to apply your skills at the forefront of AI agents? This position could be the perfect fit for you. Join our dynamic team within the "agent lab" for Natural Language Understanding, where you will significantly contribute to our mission: enhancing the scope of work that can be reliably executed by AI agents at scale. You'll have the chance to shape the Moveworks AI Assistant platform across various domains, including agent orchestration, sandboxed file systems, code execution, latency optimization, agent memory management, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with cutting-edge tools including state-of-the-art LLMs from providers like OpenAI, our team prioritizes rapid development on scalable infrastructure, tackling challenging product and engineering issues, and maximizing value for our clients. If you're eager to make a meaningful impact alongside a talented, dedicated, and mission-driven team, we invite you to connect with us.

About StradaAt Strada, we are revolutionizing the insurance industry with our AI-driven platform designed to enhance efficiency and streamline operations. Our innovative solution deploys intelligent AI agents across various communication channels, including calls, texts, emails, and chat, to optimize essential front-office workflows such as policy servicing and claims intake. Unlike generic AI platforms, Strada provides unparalleled domain expertise and product depth tailored specifically for the insurance sector.With backing from Y Combinator and prominent investors, we've automated over 1 million customer interactions for leading insurers, managing general agents (MGAs), and brokers, representing over $10 billion in annual premiums. As we continue to grow, our technology adoption is rapidly increasing within the industry.The insurance industry, one of the largest and most intricate sectors globally, is on the brink of transformation through modern AI technologies. Strada is pioneering the shift from outdated workflows to AI-native infrastructure, enabling real operations at scale amidst highly regulated environments.We are a compact, high-ownership team based in San Francisco, actively engaged in production systems at sophisticated insurance organizations. If you are eager to tackle challenging problems and make a significant impact on the future of a substantial industry, we want to meet you.Why Choose Insurance?Insurance plays a crucial role in the global economy, supporting businesses, helping families recover from disasters, and managing risks across industries. However, many processes within insurance remain stagnant, relying on outdated systems and phone calls. At Strada, we are committed to integrating AI into these workflows, making them faster, smarter, and more efficient—a $300 billion market ripe for innovation.Your RoleWe seek a passionate Software Engineer to join our team as one of the earliest engineering hires. In this pivotal role, you will work across the technology stack to develop the core systems that underpin our AI agents, from real-time voice infrastructure to integrations with various insurance platforms. This is a high-impact position where you will deliver production code from day one, learn rapidly, and grow alongside our company.What You Will Accomplish in Your First WeekDeploy your first pull request to production on your very first day—no lengthy onboarding, you're contributing immediately.Engage with our voice AI stack and learn how we automate thousands of insurance calls each day.Collaborate with the team, experience customer interactions firsthand, and gain insights into our operations.

About LightfieldLightfield is an innovative AI-driven CRM that seamlessly integrates with your email, calendar, and meetings. Our platform captures every interaction and organizes it into valuable insights, accounts, tasks, and follow-ups, ensuring that no detail is overlooked.We are revolutionizing CRM by focusing on the actual workflows of organizations. Rather than forcing teams to adhere to rigid systems, Lightfield intelligently learns and adapts, automating processes and providing actionable insights that fuel growth. We are building the CRM solution we always wanted: rapid, intelligent, and genuinely supportive.Our team is backed by prominent investors including Greylock, Lightspeed, and Coatue, and has a proven track record, having previously developed Tome, a generative AI presentation tool utilized by over 25 million users. Our members have extensive experience, having contributed to projects at Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are seeking a dynamic, creative, and adaptable engineer who is passionate about crafting scalable, high-performance features and systems that offer cutting-edge AI product experiences.At Lightfield, engineers play a crucial role in project ownership from conception to execution, working collaboratively across various functions and pushing the boundaries of what is achievable in applied AI system development. You will partner with a talented team to provide industry-leading solutions while contributing to both the product and technical vision of Lightfield.Your ResponsibilitiesWork closely with product leaders to identify customer challenges, define requirements, and implement effective solutions.Design and maintain full-stack product features and systems from inception to deployment, ensuring they are reliable, scalable, and performant.Create observability tools and metrics that facilitate smooth operations, proactive issue detection, and ongoing improvement.Provide mentorship to team members, engage in code reviews, and help cultivate a strong engineering culture and best practices.Contribute to the development of an exceptional engineering team through recruitment, mentorship, and knowledge sharing.Your ProfileYou are enthusiastic about Large Language Models (LLMs) and eager to build systems that harness their capabilities.You are quick to adapt to a tech stack featuring TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.You possess solid software engineering fundamentals and are ready to tackle challenging problems.

Join Continue as a passionate and quick-learning Software Engineer, where your contributions will be crucial in enhancing our open-source product. You'll begin by addressing and exploring user challenges on platforms like GitHub and Discord. In this position, you'll have the opportunity to design, develop, and sustain our open-source IDE extensions, creating a product that is cherished by many, including yourself.

Join 8vc as a Software Engineer, where you'll have the opportunity to innovate and develop cutting-edge software solutions. As a new graduate, you'll work alongside experienced engineers in a collaborative environment, contributing to impactful projects that shape the future of technology.

About FurtherAIAt FurtherAI, we are pioneering the development of next-generation AI agents tailored for the insurance sector — a trillion-dollar industry ripe for innovation.Having successfully secured over $30M from leading investors, including Andreesen Horowitz, Y Combinator, Nexus, South Park Commons, and Converge, we have achieved a remarkable 10x revenue growth this year alone. Our clientele includes some of the most prominent names in insurance, with a recent partnership with a top five global insurance company. Our team merges extensive AI expertise with a robust background in building successful enterprises.We are now seeking a talented Software/AI Engineer (New Grad) to become a vital part of our early-stage team and influence both our product and culture.About the RoleIn this role, you will join our engineering team as a Software/AI Engineer (New Grad) and contribute to developing the foundation of FurtherAI’s AI Workspace for Insurance.You will engage in building end-to-end product features, which include integrating AI models, developing data processing pipelines, and designing scalable backend systems. You will work closely with senior engineers, AI researchers, and founders to enhance real-world insurance workflows, transforming how underwriters, claims adjusters, and brokers operate.This is a unique opportunity to be part of a high-performing technical team at an early stage and grow rapidly with the company.Why Join FurtherAI?High Impact: Contribute to technology that is reshaping the role of AI in modern insurance.Hands-On Learning: Work directly with senior engineers, AI scientists, and founders in creating applied AI solutions.Mission-Driven: Play a role in modernizing one of the world’s most intricate industries with practical and explainable AI applications.Early Team: Enjoy full visibility into product development, research, and customer impact, as you help establish the groundwork of our AI Workspace for Insurance as we expand.Responsibilities:Develop, test, and deploy production-quality code across our backend and AI systems.Collaborate with AI researchers to integrate and optimize large language models for insurance-related workflows.Create data processing and evaluation pipelines for unstructured document inputs, such as PDFs, emails, and images.Contribute to core infrastructure, from APIs to orchestration logic that drives our AI Workspace for Insurance.

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.

Backend Engineer - New Graduate OpportunityJoin LiteLLM, the leading AI Gateway, trusted by renowned organizations such as Adobe, Netflix, and NASA. Our innovative platform provides developers with secure and reliable access to Large Language Models (LLMs) and related services. We are seeking a passionate Backend Engineer (New Grad) to contribute to building robust guardrails and observability tools at an extensive scale.Role OverviewIn this role, you'll be instrumental in enhancing our guardrails and logging mechanisms. You will take ownership of the backend code ensuring that all guardrail calls are accurately logged, errors are made visible to users, and our observability tools are effective under high-traffic conditions. Your meticulous attention to detail in latency metrics, logging traceability, and backend guardrail registration will significantly influence user trust in our security and compliance features.Key ResponsibilitiesEnsure all guardrail and policy enforcement calls (e.g., applyguardrail) are logged and traceable within our SpendLogs and relevant database tables.Proactively identify and resolve silent failures in guardrail creation, registration, and policy application, ensuring robust error handling and clarity for end-users.Collaborate with observability integrations, including Datadog, Splunk, Prometheus, and OpenTelemetry, to maintain effective monitoring and logging for backend systems.Refactor and enhance our Prometheus integration to facilitate configurable latency histogram buckets that can scale for high-traffic environments.Work collaboratively across teams on backend engineering priorities such as performance, reliability, and security.QualificationsRecent graduate with a Bachelor’s or Master’s degree in Computer Science or a related field.Proficient in Python and familiar with backend frameworks like FastAPI or Flask.Knowledge of logging best practices, error handling, and secure backend development principles.Exposure to monitoring and logging platforms such as Datadog, Splunk, Prometheus, or OpenTelemetry.Familiarity with database integration and troubleshooting (e.g., PostgreSQL, Redis).A strong drive to deliver high-quality backend code with attention to detail.

At Mission Graduates, we are dedicated to enhancing the educational prospects of K-12 students in San Francisco's Mission District. Our commitment is reflected in our extensive after-school support services that annually benefit over 1,500 children, youth, and families. We envision a future where college education is the norm for families in the Mission, fostering a culture of academic excellence.We invite enthusiastic individuals to join our volunteer team at Mission Graduates’ Extended Day Program and Beacon Sites. This is a unique chance to make a significant impact on the lives of our students while gaining invaluable experience. Volunteer roles include:Elementary School Level TutoringMiddle School Level TutoringEnglish as a Second Language (ESL) TutoringSite SupportSpanish TutoringEmbrace the opportunity to create change and inspire the next generation through education!

SquareTrade delivers protection plans and insurance products to a large customer base. The Engineering team develops and maintains the systems behind these services, ensuring reliability and efficiency. Role overview The Software Engineer position in San Francisco centers on building and enhancing technology that supports SquareTrade’s commitment to customer service. This role involves tackling projects that promote technical growth and hands-on problem-solving. What you will do Contribute to the design, development, and maintenance of systems supporting SquareTrade’s services Work with other engineers to solve technical challenges and improve existing solutions Participate in projects that encourage learning and skill development Location This position is based in San Francisco.

Senior Software Engineer - ConnectivityThe Connectivity team at Scale owns the foundational platform that empowers us to consistently generate, assess, and deliver high-quality training data to our clients. Our systems are integral to Scale’s data and AI infrastructure, facilitating large-scale workflows while enabling cutting-edge AI functionalities such as multi-modality, long-horizon reasoning, and agentic behavior.We are seeking a seasoned engineer with extensive experience in developing robust platforms. The ideal candidate will possess strong architectural judgment, a commitment to correctness and reliability, and the capability to design systems that can scale and adapt effectively over time. This role is primarily backend-focused but includes full-stack responsibilities and substantial ownership from design to long-term operations.

Join our dynamic team at reteam as a Software Engineer in the vibrant city of San Francisco! We are seeking innovative and driven individuals to contribute to our technology initiatives.In this role, you will have the opportunity to work on exciting projects that push the boundaries of software development.

About the Role Stripe is building technology that supports businesses worldwide. The San Francisco engineering team is looking for a Software Engineer to help improve our platform and deliver new features for our customers. What You Will Do Collaborate with other engineers to design and build new systems Enhance existing products and infrastructure Contribute ideas to improve the Stripe platform Location This position is based in San Francisco, California.

Cloud Software EngineerAbout Eventual ComputingAt Eventual Computing, we understand that cutting-edge AI applications—from foundational models to autonomous vehicles—demand the ability to process vast amounts of images, video, and complex datasets. Unfortunately, current data platforms, such as Databricks and Snowflake, are primarily designed for traditional spreadsheet analytics, making them ill-equipped for the petabytes of multimodal data that drive AI innovations. This inefficiency results in teams spending valuable time on fragile infrastructure instead of advancing their research and developing their core products.Founded in 2022, our mission is to revolutionize data querying, making it as intuitive as working with tables while ensuring it can scale to meet production demands. Our open-source engine, Daft, is tailored for real-world AI systems, adept at coordinating with external APIs, managing GPU clusters, and addressing failures that traditional engines struggle with. Daft is already powering essential workloads for industry leaders like Amazon, Mobileye, Together AI, and CloudKitchens.Our team comprises top-tier talent from renowned organizations including Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, and Tesla. Having quadrupled in size within a year, we are backed by Series A and seed funding from prestigious investors like Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, Array.vc, and prominent angels including co-founders of Databricks and Perplexity. We are excited to expand our team further—this is just the beginning for Eventual Computing.We invite enthusiastic individuals to join our close-knit team, working collaboratively four days a week in our San Francisco Mission District office.

About MiddeskMiddesk is revolutionizing the way businesses collaborate by providing seamless business identity verification. Since our inception in 2018, we have replaced cumbersome manual processes with instant access to accurate and current data. Our platform empowers companies across various sectors to confidently verify business identities, accelerate customer onboarding, and mitigate risks throughout the customer journey.As a proud graduate of Y Combinator and backed by esteemed investors such as Sequoia Capital and Accel Partners, Middesk has been recognized in the Forbes Fintech 50 List and acknowledged as a leading authority in business verification by digital identity strategy firm, Liminal.About Middesk Engineering:At Middesk Engineering, we prioritize

A Better Built WorldAt Miter, we are dedicated to empowering construction contractors to build with confidence. Our success not only makes it easier but also accelerates the construction of vital physical infrastructure such as roads, bridges, utilities, data centers, and housing.For far too long, contractors in the construction and field services sectors have relied on outdated software—bulky, on-premise systems from the 1980s and 1990s.This is where Miter steps in. We harness the power of AI and integrated payment solutions to reconstruct the fundamental HR, finance, and operations systems that support our physical economy. With Miter, contractors such as Marathon Electrical, W.J. O’Neil, and Truebeck Construction are building stronger teams, managing job costs more effectively, and expediting jobsite operations.This vision resonates with many. Since our inception in 2021, we have grown to serve thousands of customers and achieved tens of millions in Annual Recurring Revenue (ARR), positioning us among the fastest-growing vertical software companies in history. To amplify our progress, we have secured over $50 million in funding from top-tier investors like Bessemer, Coatue, and Battery, who share our vision for the future.Hybrid vs. Remote Approach:We believe the real magic of Miter happens when we collaborate in person. However, we also value flexibility. For roles designated as hybrid, we encourage working in the office three days a week to foster connections, brainstorming, and stronger relationships. If you reside within a reasonable commuting distance to our offices in New York City or San Francisco, we request adherence to this hybrid model.For positions classified as remote or in locations without an office, there is no obligation to follow the hybrid model. We do arrange travel for onboarding and company or team-specific events a few times a year!About the Team and How We Work:Creating the operating system for the built environment is a significant challenge. We need to deliver a substantial amount of high-quality code in the years ahead, and to achieve this, we are cultivating an engineering culture focused on craftsmanship, ownership, and excellence.