Software Engineer - Recent Graduate

Join Mercury as a Sales Development Representative, where you will have the opportunity to kickstart your career in sales and contribute to innovative financial solutions. As a recent graduate, you will engage with potential clients, develop your sales skills, and help expand our customer base in a dynamic environment.

At Netic, we're revolutionizing the essential services industry through AI innovation, driving growth for businesses that form the backbone of the American economy.With a robust $43M in funding from industry giants like Founders Fund, Greylock, Hanabi, and Dylan Field, who spearheaded our Series B, we empower our customers to book hundreds of thousands of jobs across various service sectors in North America. Today, several companies operate fully AI-first on the Netic platform.Joining our team means collaborating with relentless innovators from prestigious organizations such as Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard, as we tackle complex problems in the physical economy, where data is intricate and the impact is significant.At Netic, we create features that enable real businesses to leverage AI effectively. As a recent graduate, you will benefit from a dedicated mentor who will guide you through the entire process of supporting clients, deploying features, and iterating rapidly.We are seeking new graduates who can start as early as Summer 2026.Key Responsibilities:Develop AI-driven products: Conceptualize, code, and launch full-stack features for Netic's AI platform within days.Manage projects from start to finish: Lead initiatives from specification to production, including data modeling, API development, front-end refinement, and post-launch enhancements.Collaborate with users: Engage closely with our clients to understand their workflows, collect feedback, and transform challenges into effective features.Learning Opportunities:Master Full-stack Development: Gain expertise in technologies such as React, TypeScript, and Python, along with experience in databases and cloud infrastructure.Dive into AI: Work directly with large language models and cutting-edge infrastructure.Experience Leadership: Understand what it takes to operate a successful startup, balancing resourcefulness with creativity and technical excellence.We believe that fulfillment comes from delivering your best work alongside the smartest minds. All positions are in-person at our San Francisco office located in Jackson Square. Our core values include:A passion for buildingA determination to overcome obstacles and succeedA commitment to obsess over our customers in every detail...

Notion Labs Inc. seeks a Software Engineer - Recent Graduate to join the team in San Francisco, California. This position involves working alongside experienced engineers on projects that shape productivity software. Key responsibilities Write and debug code for both new features and existing products Work closely with team members to improve the product Share ideas and solutions during team meetings Develop technical skills within a supportive team What we look for Recent graduate interested in launching a software engineering career Willingness to learn from experienced colleagues Curiosity about building tools that support better collaboration

At Scale AI, we are dedicated to advancing the development of artificial intelligence applications. For the past eight years, we have established ourselves as the foremost AI data foundry, contributing to groundbreaking innovations in AI, including generative AI, defense systems, and autonomous vehicles. With our recent Series F funding round, we are poised to enhance our capabilities in providing frontier data, facilitating the journey towards Artificial General Intelligence (AGI), and expanding our offerings for both public and private evaluations. Example Projects:Develop tools to foster the growth of new qualified contributors on Scale’s labeling platform.Implement systematic fraud-detection systems to ensure the integrity and trustworthiness of our contributor base.Utilize models to assess the quality of tasks and labelers, ensuring quality assurance at scale.Design advanced matching algorithms to connect labelers with clients for optimal results.Create methods for automatic measurement, training, and effective matching of labelers to tasks based on performance metrics.Develop user-friendly UI/UX tools, integrating machine learning algorithms for over 100,000 labelers to handle billions of complex tasks efficiently.Construct new AI infrastructure products for visualizing, querying, and exploring Scale data.Develop a customer service RAG application capable of managing thousands of inquiries daily.Integrate state-of-the-art ML models to predict customer churn within retention systems.

Julius is an early-stage applied AI startup in San Francisco focused on making software creation accessible at scale. The team builds agents that streamline knowledge work through code, with a current emphasis on data science and analytical tools. Julius has processed over a million lines of code every 36 hours, served more than a million users, and generated millions of data visualizations. The company is revenue-generating and supported by investors including AI Grant, YCombinator, Bessemer Venture Partners, and founders from leading tech companies. Team members bring experience from organizations such as Uber, Facebook, and Scale AI. Role overview The Software Engineer - Product (Recent Graduate) role focuses on creating user interfaces that are both intuitive and high-performing. Julius’s platform integrates tool use, multi-step reasoning, code generation and execution, and file management. Engineers in this position contribute to shaping and building these experiences for an expanding user base. Requirements Recent graduate with a background in software engineering or a related field Interest in building user interfaces and product experiences Ability to work onsite in San Francisco, CA Benefits Comprehensive health and dental insurance Gym reimbursement Daily team meals Commuter benefits Location This position is based in San Francisco, CA.

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!

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!

About LoopAt Loop, we are revolutionizing the global supply chain with our innovative data platform. Our mission is to transform chaotic, unstructured data—often stuck in PDFs, emails, and outdated systems—into a structured and actionable 'source of truth' that automates payments and audits for Fortune 100 companies.We are building the financial backbone for a $100 trillion physical economy, ensuring that freight movements are efficient and that carriers receive payments instantly.Supported by leading investors such as Founders Fund, Index Ventures, and 8VC, we are experiencing rapid growth. We seek engineers eager to deploy production-level AI that drives the physical economy forward.About the New Grad ProgramUnlike traditional AI that remains confined to the browser, our technology interacts with the physical world. In this program, you will not merely develop features; you will be instrumental in creating the autonomous intelligence behind the Fortune 100’s global supply chain.This program is designed to compress three years of learning into just one year. From Day 1, you will engage with production AI systems, tackling real-world challenges and making a direct impact on customers. This intensive program requires a significant commitment, but upon completion, you will emerge as a competent entry-level engineer, ready to launch your career.The Schedule:Week 1 (Onboarding): Immerse yourself in our tools and domain. You will deploy code to production on Day 1 and master our development loop by the end of the week.Months 1-3 (Velocity): Complete three entry-level projects with increasing complexity. By the end of Month 3, you will be expected to operate as a fully independent engineer.Months 4-9 (The Rotation): Rotate onto different high-impact teams to broaden your expertise. Possible tracks include:Platform: AI infrastructure and Engineering Systems.Core Product: Audit, Billing, and Payments logic.Commercial: Revenue Activation and Forward Deployed Engineering.Special Projects: Collaborating directly with the CEO/CTO and other executives.Month 9+ (Graduation): You will demonstrate mid-level engineering performance and may be considered for immediate promotion.

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.

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 Poseidon Aerospace Poseidon Aerospace designs and operates unmanned aircraft for commercial logistics and defense. The company’s main platforms, the Heron seaplane and the Egret STOL aircraft, are built to transport payloads up to two tons across distances greater than one thousand nautical miles. Headquarters are in San Francisco, with additional offices in Washington, DC and Maine. Role Overview: Mechanical Engineer – Recent Graduate This role focuses on designing structural and mechanical systems that improve the performance and manufacturability of composite aircraft. Mechanical Engineers at Poseidon Aerospace work on CAD design, develop mechanisms, and conduct finite element analysis to create lightweight, reliable structures for both aerial and marine use. What You Will Do Design mechanical and structural components for unmanned aircraft using CAD tools Develop mechanisms that support aircraft functionality and manufacturability Apply finite element analysis to optimize structures for strength and weight Collaborate closely with manufacturing engineers, aerodynamics experts, and test teams Participate in both analytical work and hands-on development of flight hardware Location This position is based in San Francisco.

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.

Netic is revolutionizing the way essential services operate by harnessing the power of artificial intelligence as a revenue engine for critical sectors that support the American economy. We have successfully secured $43 million in funding from esteemed investors such as Founders Fund, Greylock, Hanabi, and Dylan Field, who championed our Series B round. Our innovative solutions have enabled our clients to schedule hundreds of thousands of jobs across various service industries throughout North America.Join a team of relentless innovators hailing from prestigious organizations like Scale, Databricks, HRT, Meta, as well as top institutions such as MIT, Stanford, and Harvard. Together, we are committed to applying cutting-edge AI technology to the physical economy, tackling challenging problems, navigating complex data, and delivering immediate, tangible impacts.At Netic, we empower businesses by integrating AI into their operations. As a recent graduate, you will be paired with a dedicated mentor who will guide you through the complete customer support process, feature development, and agile iteration.New graduates are expected to join us in the Summer of 2026 or sooner.

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.

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.

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.

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 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.