Net developer jobs in San Leandro, CA

🚀 Backend Engineer - High-Growth AI SaaS Startup 📍 SoMa, San Francisco, CA | 💼 Full-Time | Onsite 💰 Salary: $200K-$300K + Meaningful Equity (1%+) Join an early-stage AI SaaS start-up creating an application builder that empowers business users to build custom applications where humans and AI collaborate seamlessly across enterprise systems. The company addresses complex enterprise challenges including multi-day workflows, cross-system integrations (ERP/CRM/financial platforms), secure VPC hosting, and enterprise-grade observability, logging, identity, and compliance controls. About the Role We're looking for a Backend Engineer to lead the development of backend systems and architecture. This is a rare opportunity to take ownership of core systems in an early-stage company, shaping architecture, scalability, and reliability from the ground up. You'll tackle challenging problems like orchestrating multi-system workflows, processing large-scale data asynchronously, and safely executing AI-generated code - all while collaborating closely with the applied AI team. What You'll Do Design and build the core workflow engine - the orchestration layer connecting agents, data sources, and frontend views. Develop and scale the TypeScript-based backend, handling asynchronous execution, retries, and deterministic routines. Build and maintain integration layers for REST APIs, SQL sources, and third-party systems. Collaborate with the applied AI engineering team to integrate automation and intelligence across systems. Define and enforce best practices for backend architecture, reliability, and developer experience as the company scales. Who You Are (Must-Haves) 4-15 years of professional software engineering experience. Strong experience with TypeScript, Node.js, and modern backend architectures. Experience designing complex data models and managing asynchronous tasks/workflows. Prior experience working in early-stage startups or high-growth environments. Experience integrating multiple systems, including REST APIs and SQL sources. Excited by building scalable systems and comfortable in a startup environment. Excellent problem-solving, collaboration, and communication skills. Nice-to-Haves Experience building or integrating AI / LLM-powered applications. Familiarity with Temporal or similar orchestration/workflow systems. Exposure to other modern backend frameworks or cloud technologies (AWS, GCP, Kubernetes). Why Join? Competitive salary: $200K-$300K + meaningful equity (1%+) in an early-stage company. Work alongside experienced founders who have successfully scaled AI and enterprise SaaS products. Shape the architecture and direction of a high-impact backend system used across complex workflows. Be part of a small, highly motivated team at the forefront of AI and enterprise applications.

Software Engineer - Perception | San Francisco - Onsite EVONA is partnering with a pioneering aerospace company developing a new generation of autonomous spacecraft systems. Their mission is to build advanced autonomy and perception pipelines that allow satellites to detect, classify, and understand objects in orbit in real time. This is a rare opportunity to join as one of the first US software hires, giving you direct impact on a high-profile space program while shaping the growth of the US software team. What You'll Do Develop and optimise computer vision & ML algorithms for real-time object detection and characterisation Integrate perception models into onboard flight computers and autonomy pipelines Build sensor models, digital twins, and simulation tools for training and validation Collaborate with international engineering teams while helping expand the US presence Contribute across a small, fast-moving team tackling complex, mission-critical challenges What We're Looking For Strong software engineering skills in C++ and Python Must of worked on Real Time Operating Systems (RTOS) Experience with computer vision, ML frameworks (PyTorch, TensorFlow), and CUDA acceleration Background in real-time/embedded systems, edge computing, or robotics Hands-on experience with perception systems in autonomy, drones, robotics, AR/VR, or self-driving vehicles Minimum 2 years' experience (open to junior through senior levels) Space industry experience not required - we're seeking autonomy and perception engineers who thrive on solving complex, real-world problems Why Join Impact: Apply your autonomy expertise to one of the most exciting frontiers of engineering Ownership: Join as one of the first 3 US hires, shaping both technology and team direction Growth: Help build a US team that will scale significantly in the next phase Compensation & Benefits: $170,000 - $250,000+ depending on level Equity participation Full medical, dental, and vision coverage 401(k) with company match Flexible PTO and paid leave Location & Requirements San Francisco Must be US Citizen, Green Card holder, or ITAR-eligible For more information, contact Ciara Holmes at EVONA or apply now to take your autonomy career to the next frontier.

🚀 Software Engineer - AI & Full Stack (San Francisco, CA) 💼 Full-Time | 🧠 1-4+ Years Experience | 💰 $150,000- 210,000 We're building self-improving software - AI that continuously creates, tests, and enhances digital experiences. Backed by Y Combinator, Gradient, and leaders from OpenAI, Uber, and Meta, we've raised $5M+ and are scaling fast. If you love building things that think for themselves , this is your chance to help shape the next wave of intelligent software. 🧩 What You'll Do Build an AI-powered paywall editor serving millions of users every day. Work across the stack - Next.js frontend + Python backend - integrating the latest AI models & APIs. Ship fast: design → code → test → deploy → learn → repeat. Collaborate directly with founders, engineers, and customers to deliver exceptional user experiences. ⚡ What We're Looking For Strong problem-solving and full-stack skills (Python, React, TypeScript). Experience building user-facing products that people love. Excellent communication and a bias for action. Ownership mindset - you ship things that matter. Startup experience = BONUS BSc CompSc degree preferred 💡 Bonus Points Experience with AI/LLM integrations. Startup or founder-level experience. Mobile skills (Swift, Flutter, React Native). 🧠 Tech Stack Next.js (React/TypeScript), Zustand, Tailwind, Shadcn, Python, Supabase, Fly.io, Swift, Flutter, Expo 📍 In-person role - San Francisco (Mon-Sat) U.S. work authorization required (O-1 visa sponsorship possible). If you're ready to build AI that builds software, we'd love to hear from you. 👉 Apply now and help us invent the future of intelligent systems.

Robotics Software Engineer - Application Layer / High-Level San Francisco, CA (On-Site) $140,000 - $200,000 + Equity + Benefits U.S. Persons Only Are you passionate about cutting-edge robotics and real-time systems? Our client - an innovative, venture-backed robotics company - is developing next-generation autonomous platforms that push the limits of perception, control, and intelligent decision-making. They are looking for a Robotics Software Engineer to take ownership of the application layer that brings their robots to life. This is a unique opportunity to help shape real-world, mission-critical robotics technology alongside a small team of exceptional engineers. What You'll Do Architect, develop, and optimize the high-level application layer software for autonomous systems. Build and maintain real-time data pipelines connecting perception, planning, and control systems. Drive Sim2Real workflows - taking simulation code to live hardware environments. Collaborate closely with perception, controls, and hardware teams to integrate and test software across multiple robotic platforms. Profile and optimize performance for low-latency and resource-constrained environments. Contribute to world-class system architecture, clean codebases, and robust documentation. Occasionally assist with real-world field testing and system validation (some travel involved). What We're Looking For Strong proficiency in C++ and Python. Experience architecting and refactoring real-time systems under performance constraints. Deep familiarity with ROS2 (or equivalent robotics middleware). Experience building low-latency data pipelines linking perception → planning → control. Proven ability to debug and optimize complex interactions between hardware, middleware, and application logic. Excellent communication and documentation habits. Self-starter who thrives in a fast-paced, problem-solving environment. Bonus Points Personal or open-source robotics projects (e.g., UAVs, autonomous systems). Experience with RTOS or safety-critical software. Understanding of control theory or computer vision principles. Awareness of cybersecurity concepts relevant to autonomous systems. Why Apply? You'll be joining a team of highly driven engineers tackling real-world robotics challenges with immediate impact. If you're excited by the idea of architecting the brains behind autonomous machines - and you thrive in hands-on, high-performance environments - this is your chance to make a difference.

Crossing Hurdles is a global recruitment firm partnering with a category-leading AI company in the financial services space. Our client powers mission-critical compliance automation for top fintechs and regulated banks worldwide including platforms trusted by institutions overseen by the OCC, FDIC, and SEC. With millions of compliance cases processed monthly and rapid market adoption, they are entering an intense engineering scale-up phase and expanding their platform team significantly over the next eight weeks. Why you should consider Build the platform that powers AI-driven compliance for top global fintechs and banks Work on systems with 99.9%+ uptime requirements across thousands of daily cases Join a hyper-growth engineering team during a company-defining scale phase Tackle challenging distributed systems problems - ingestion, workflows, orchestration, observability Hybrid SF culture + a streamlined 2.5-hour onsite interview process High-impact work in one of the fastest growing markets in AI + a standout brand for your next chapter Role: Software Engineer, Platform Compensation: $168k-$213k base + competitive equity Location: Hybrid (San Francisco, CA - 2nd & Howard, 3 days/week) Tech Stack: TypeScript, Node.js, Python, SQL, PostgreSQL YOE: 3-8 years building backend systems in high-scale environments About the role Help build and operate the core infrastructure that enables compliance at scale for major financial institutions. Work in a backend-leaning, platform-focused capacity owning critical systems end-to-end. Design and build APIs that support high-volume, high-reliability workloads. Run and optimize distributed workflows powering long-running, stateful processes. Architect systems designed to handle thousands of concurrent requests with strict uptime requirements. Thrive in an early-stage, high-ownership environment where engineers shape core product decisions. Contribute to a high-trust engineering culture focused on impact, autonomy, and deep technical execution. Requirements 3-8 years of backend engineering experience, ideally in high-scale or regulated systems Strong skills in TypeScript/Node or Python, plus SQL and PostgreSQL fundamentals Experience with distributed systems, queues, or orchestration (Temporal, Airflow, etc.) Comfort owning deployments, IaC, reliability, and on-call responsibilities Clear communicator who understands trade-offs and can work cross-functionally in a fast-moving team

Mission and Impact: VIVIO Health, a Public Benefit Corporation, is revolutionizing pharmacy benefits management through data and technology. Our foundational principle - "The Right Drug for the Right Person at the Right Price" - drives everything we do. Since 2016, our evidence-based approach has delivered superior health outcomes while reducing costs for self-insured employers and health plans. By ensuring each patient receives the most appropriate medication for their specific condition at a fair market price, we're replacing the obsolete PBM Model with innovative solutions that work better for everyone. Why Join VIVIO? Innovation: Challenge the status quo and shape healthcare's future Impact: Directly influence patient care and help change healthcare delivery Collaboration: Work with passionate teammates dedicated to making a difference Culture: Enjoy autonomy and reliability in a micromanagement-free environment Growth: Expand your opportunities as we expand our business Job Description Position Overview We are seeking an exceptional developer with robust Python skills to join our team. You will play a crucial role in building complex business operations logic. You should have a proven track record of building high-quality software, solving complex problems, and thriving in collaborative environments. Experience in regulated cloud environments like HIPAA or PCI is a plus. We expect a self-motivated individual who thrives in a collaborative environment and shares our commitment to enhancing the cost and quality of healthcare. If you're ready to make an impact, we want to hear from you! Location: Hayward, CA. This is a Hybrid role with a minimum of 3 in-office days. Technical Stack: Languages: Python, PHP Databases: MySQL Infrastructure: AWS or other Cloud experience, CICD Core Responsibilities: Design and develop scalable services and core libraries. Develop batch processing jobs for data imports, reporting, and external integrations. Build and maintain transaction processing systems with complex business rules. Integrate third-party APIs and normalize data across multiple healthcare providers. Implement HIPAA-compliant data handling, logging, and audit systems Write comprehensive tests with proper mocking and maintain CI/CD pipelines. Foster best practices in a lean startup setting through code reviews. Promote knowledge sharing to build a collaborative culture. Optimize architectures and designs through deep understanding of business processes Ensure operational excellence through monitoring, documentation, and deployment automation. Qualifications Required Qualifications: 5+ years of development experience with production systems BS or advanced degree in an engineering discipline or equivalent experience SQL database design and optimization Test-driven development and mocking strategies Experience with data processing Preferred Qualifications: REST API design and integration experience FastAPI or similar framework experience CRM customization experience ETL pipelines and Batch processing systems experience Job orchestration frameworks experience File-based and distributed storage systems Healthcare/pharmacy technology background Strong understanding of building software in regulated environments & security standards such as PCI DSS, ISO 27001, HIPAA, and NIST. Other expectations: Hybrid work arrangement with work from office 3 days a week. Additional Information Compensation and Benefits: Base Salary: $120-$140K/year Bonus Eligible Health benefits, including Medical, Pharmacy, Dental, Vision, and Life insurance Stock Options 401K and company match PTO Opportunity to work for a growing and innovative company. Dynamic and collaborative work environment. The chance to make a real impact with a Public Benefit Corporation. VIVIO Health is an Equal Opportunity Employer. All information will be kept confidential according to EEO guidelines. Please be advised that job opportunities will only be extended after a candidate submits a completed job application and goes through our interview process, including 1:1 and/or group interviews via phone, video conferencing, and/or in-person. All legitimate correspondence from a VIVIO employee will come from our Smart Recruiter Applicant Tracking System "@smartrecruiter.com" or "@viviohealth.com" email accounts.

I'm hiring an AI Product Engineer for a fast-growing AI start-up that's building agents to automate financial crime workflows. Their tech works like a real analyst inside a browser and internal tools, helping banks cut huge amounts of manual work and stop fraud more effectively. They're small, highly technical, and already seeing strong traction with major institutions. In this role, you'll work across the stack, build end-to-end features, shape new agent capabilities, and help ship production systems that have real impact for customers. We're looking for engineers who: Love building quickly and owning problems end to end Have experience with production systems or AI/ML workflows Communicate clearly and enjoy working with minimal process Want to push what's possible with AI agents in the real world Minimum Bachelor's degree in Computer Science (or adjacent) Their stack is Python, Node, React and Typescript (not a dealbreaker to be experienced with these!) Apply or reach out directly if you're interested!

Granica is redefining how enterprises prepare and optimize data at the most fundamental layer of the AI stack-where raw information becomes usable intelligence. Our technology operates deep in the data infrastructure layer, making data efficient, secure, and ready for scale. We eliminate the hidden inefficiencies in modern data platforms-slashing storage and compute costs, accelerating pipelines, and boosting platform efficiency. The result: 60%+ lower storage costs, up to 60% lower compute spend, 3× faster data processing, and 20% overall efficiency gains. Why It Matters Massive data should fuel innovation, not drain budgets. We remove the bottlenecks holding AI and analytics back-making data lighter, faster, and smarter so teams can ship breakthroughs, not babysit storage and compute bills. Who We Are World-renowned researchers in compression, information theory, and data systems Elite engineers from Google, Pure Storage, Cohesity, and top cloud teams Enterprise sellers who turn ROI into seven‑figure wins. Powered by World-Class Investors & Customers $65M+ raised from NEA, Bain Capital, A* Capital, and operators behind Okta, Eventbrite, Tesla, and Databricks. Our platform already processes hundreds of petabytes for industry leaders Our Mission: We're building the default data substrate for AI, and a generational company built to endure. Smarter Infrastructure for the AI Era: We make data efficient, safe, and ready for scale-think smarter, more foundational infrastructure for the AI era. Our technology integrates directly with modern data stacks like Snowflake, Databricks, and S3-based data lakes, enabling: 60%+ reduction in storage costs and up to 60% lower compute spend 3x faster data processing 20% platform efficiency gains Trusted by Industry Leaders Enterprise leaders globally already rely on Granica to cut costs, boost performance, and unlock more value from their existing data platforms. A Deep Tech Approach to AI We're unlocking the layers beneath platforms like Snowflake and Databricks, making them faster, cheaper, and more AI-native. We combine advanced research with practical productization, powered by a dual-track strategy: Research: Led by Chief Scientist Andrea Montanari (Stanford Professor), we publish 1-2 top-tier papers per quarter. Product: Actively processing 100+ PBs today and targeting Exabyte scale by Q4 2025. Backed by the Best We've raised $60M+ from NEA, Bain Capital, A Capital, and operators behind Okta, Eventbrite, Tesla, and Databricks. Our Mission To convert entropy into intelligence, so every builder-human or AI-can make the impossible real. We're building the default data substrate for AI, and a generational company built to endure beyond any single product cycle. WHAT YOU'LL DO This is a deep systems role for someone who lives and breathes distributed infrastructure, understands how data moves at scale, and wants to build the next-generation AI data platform from the ground up. Own the ACID backbone. Design and harden transactional layers and metadata services so that petabyte-scale tables can time-travel in microseconds and schema evolution becomes a non-event. Turn metadata into rocket fuel. Build compaction, caching, and pruning services that keep millions of file pointers within 50 ms from lookup to plan. Squeeze more signal per byte. Optimize data layouts-from column ordering to dictionary and bit-packing, bloom filters, and zone-map indexes-to cut scan I/O by 10× on real-world workloads. Ship adaptive indexing with research. Co-invent machine-driven indexes that learn access patterns and automatically re-partition nightly-no more manual “analyze table” ever again. Scale the engine, not the babysitting. Write Spark, Flink, or batch pipelines that autoscale across S3, GCS, and ADLS; expose observability hooks; and survive chaos drills without triggering a pager storm. Code for longevity. Write clean, test-soaked Java, Scala, Go, or C++. Document key invariants so future teams can extend the system-instead of rewriting it. Measure success in human latency. If analysts see their dashboards refresh in blink-level time, you've won. Publish your breakthrough and mentor the next engineer to raise the bar again. WHAT WE'RE LOOKING FOR You've built systems where performance, resilience, and clarity of design all matter. You thrive at the intersection of infrastructure engineering and applied research, and care deeply about both how something works and how well it works at scale. Core Skills Distributed Systems and Storage Fundamentals - consistency, replication, sharding, durability, transactions. Columnar Storage Optimization - deep knowledge of Parquet or similar formats (column ordering, compression, zone maps). Metadata and Indexing Systems - experience building metadata-driven services, compaction, caching, and adaptive indexing. Distributed Compute at Scale - production-grade Spark/Flink or equivalent pipeline development across S3, GCS, or ADLS. Programming for Scale and Longevity - strong coding in Java, Scala, Go, or C++, with clean testing and documentation practices. Resilient Systems and Observability - you've built systems that survive chaos drills and expose the right metrics. Desired Skills Exposure to open table formats such as Apache Iceberg, Delta Lake, or Hudi. Experience with catalog services, query planning, or compaction frameworks. OSS contributions or published work in data infrastructure or distributed systems. WHY JOIN GRANICA If you've helped build the modern data stack at a large company-Databricks, Snowflake, Confluent, or similar-you already know how critical lakehouse infrastructure is to AI and analytics at scale. At Granica, you'll take that knowledge and apply it where it matters most…at the most fundamental layer in the data ecosystem. Own the product, not just the feature. At Granica, you won't be optimizing edge cases or maintaining legacy systems. You'll architect and build foundational components that define how enterprises manage and optimize data for AI. Move faster, go deeper. No multi-month review cycles or layers of abstraction-just high-agency engineering work where great ideas ship weekly. You'll work directly with the founding team, engage closely with design partners, and see your impact hit production fast. Work on hard, meaningful problems. From transaction layer design in Delta and Iceberg, to petabyte-scale compaction and schema evolution, to adaptive indexing and cost-aware query planning-this is deep systems engineering at scale. Join a team of expert builders. Our engineers have designed the core internals of cloud-scale data systems, and we maintain a culture of peer-driven learning, hands-on prototyping, and technical storytelling. Core Differentiation: We're focused on unlocking a deeper layer of AI infrastructure. By optimizing the way data is stored, processed, and retrieved, we make platforms like Snowflake and Databricks faster, more cost-efficient, and more AI-native. Our work sits at the most fundamental layer of the AI stack: where raw data becomes usable intelligence. Be part of something early-without the chaos. Granica has already secured $65M+ from NEA, Bain Capital Ventures, A* Capital, and legendary operators from Okta, Tesla, and Databricks. Grow with the company. You'll have the chance to grow into a technical leadership role, mentor future hires, and shape both the engineering culture and product direction as we scale. COMPENSATION & BENEFITS Competitive salary and meaningful equity Unlimited PTO + quarterly recharge days Premium health, vision, and dental Team offsites, deep tech talks, and learning stipends Help build the foundational infrastructure for the AI era Granica is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We're seeking a Full Stack Software Engineer with strong backend development skills in Python and frontend expertise in React.js. You'll help design, implement, and scale full stack web applications that are secure, performant, and user-centric. Responsibilities Architect, build, and maintain backend services using Python (FastAPI, Flask, Django) Design and implement dynamic and responsive frontends using React.js and/or Vue.js Create and consume RESTful and GraphQL APIs Build reusable components and libraries for frontend use Collaborate across teams to gather requirements, define solutions, and ensure quality Optimize performance and scalability of applications Write unit, integration, and end-to-end tests across the stack Participate in peer code reviews and provide mentorship where appropriate Required Qualifications 5+ years of experience in full stack development M.S. degree in relevant domain required Proficiency with Python and one or more major web frameworks (e.g., FastAPI, Django) Advanced skills in React.js, including Hooks, Context, and state management libraries (e.g., Redux, Zustand) Experience with Vue.js or interest in working across multiple frontend frameworks Familiarity with modern frontend tooling: Webpack, Vite, Babel, ESLint Solid experience with HTML5, CSS3, SASS/SCSS, and responsive UI design Strong understanding of RESTful services, API security, and performance optimization Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL options (MongoDB, Redis) Git and CI/CD best practices (GitHub Actions, CircleCI, GitLab CI) Strong communication skills and a collaborative approach to engineering Preferred Qualifications Familiarity with TypeScript Experience with cloud platforms (AWS, GCP, or Azure) Experience with Docker, Kubernetes, or container orchestration GraphQL and Apollo Client experience Familiarity with microservice architecture Experience working with real-time data (WebSockets, MQTT)

A cutting edge AI startup based in San Francisco is looking for a founding engineer to own backend of their code generation platform. Software should be beautiful, and this firm aims to provide generative creativity, allowing users to explore endless designs from a single idea. This role is for an engineer who is passionate about building sophisticated, performant, and scalable backend systems for AI-powered design tools. The ideal candidate will have a proven track record of impactful work at companies known for their sophisticated backend engineering, major contributions to notable open-source projects, or a seriously impressive portfolio of complex backend builds. Experience with chat applications, reliable streaming, headless browser automation (Puppeteer/Chromium), and managing complex project state is highly desirable. Express.js, Next.js (server actions), AWS (infrastructure primitives), Terraform, Pulumi, SST, OpenAI SDK, Anthropic SDK, Gemini SDK, Puppeteer, Chromium 180-235k base + equity

We are looking for a Software Engineer (Fresh Grads) at a YC backed ConstructionTech Startup. You must be a world-class engineer who loves simplifying complex systems, unifying fragmented data, and building high-scale backend systems. Role responsibilities Unification: we're unifying dozens-to-hundreds of fragmented systems under a single standard that we define. Our unification covers data objects, data models, authentication, account-linking UX, and features like filters and pagination. When designing any new feature, we have to do it in a scalable way. For example, when adding filters, we have to research each system we support (and plan to support) and create a generic, system-agnostic solution. On-prem: we're connecting with many types of on-prem systems (SQL-based, DLL-based, API-based), many built 20-40 years ago. We provide tremendous value to customers allowing them to interface with these systems in a secure, fast, reliable way, as if they're modern, cloud-based products. We need to support real-time communication and webhooks when they don't exist (e.g., using web-sockets). Scale & speed: we're handling millions of API requests per day, and growing daily. For our products that we power with our own API (e.g. Analytics), we need to store and retrieve large amounts of data in an efficient way, building elegant caching layers to reduce latency. We ship code daily and iterate quickly based on actual feedback from paying customers (they share tons!). Operational excellence: we're creating a reliable API layer on top of many old systems that don't have APIs. It's like building a skyscraper on quicksand, enforced by SLAs. We need to innovate in expanding the depth and breadth of our integrations while simultaneously increasing our development velocity. We need to be very creative in how to continually test our code and integrations, creating scalable testing frameworks that can catch edge cases and bugs across 1k+ endpoints. Mix of back-end and front-end: we're building front-end apps that dog-food our own APIs (e.g. Sync, Analytics). This helps us build world-class APIs because we suffer any pain present in our API. We're building both the lego blocks and the higher-level lego models: we see what kinds of APIs our SaaS customers want, then also look at the kinds of API niceties we want for our own applications (like a caching layer, advanced filtering) and implement a combination of the two. Variety: without knowing, you might assume adding a new integration is low-ambiguity and routine. But each integration we launch is special, completely different and posing unique challenges. This requires researching that system and its nuances in great depth before building on top of it. It's part engineering, part archeology. Who you are: 0 - 1 years of experience back- end/full- stack software engineer. Must be able to work independently without much guidance. Familiarity with cloud infrastructure (e. g. AWS, GCP, Azure etc) Recent experience at small (Seed/Series A/Series B/Series C) tech startup. Undergrad CS degree from a top 30 undergrad school in US or Canada Self- motivated, high ownership, low ego; desire to work on a fast- paced, intense, fun team. Excited to be our next hire; passion for building a world- class engineering culture Pumped to work in- person in SF 5 days per week.

Front-End Software Engineer On-site: San Francisco Our client is an exciting new hedge fund, well capitalized, that was started by a pair of renowned industry veterans. We seek a Senior Frontend Developer who thrives on building intuitive user interfaces leveraging modern UI technologies. In this role, you'll be instrumental in defining our frontend architecture, developing sophisticated applications rom scratch, and working closely with other teams to deliver smooth, well-integrated user experiences. ________________________________________ Primary Duties • Develop advanced, reusable UI components using React and TypeScript • Architect scalable and maintainable frontend solutions • Manage features throughout their lifecycle-from ideation to release and upkeep • Work with backend engineers to define APIs • Write high-quality, well-tested, and clearly documented code • Support/mentor junior team members • Actively work to stay current on new technologies • On-call rotations as needed • Agile process ________________________________________ Requirements • CS degree or practical experience • 3+ years' experience • Expert in TypeScript and React • Demonstrated ability to build UI components from the ground up • Understanding and passion for modern frontend design principles/architecture • Passion for UX • RESTful and/or GraphQL API structures • Cloud: AWS, GCP, or Azure • Project leading experience • Comfortable with frontend testing and quality assurance practices

Honey Health is the all-in-one AI back office for primary and specialty care. Our AI agents autonomously handle core back-office jobs, such as aggregating patient data, processing orders and prescriptions, automating prior authorizations, triaging faxes and referrals, and managing RCM (revenue cycle management). Organizations using Honey frequently cut administrative costs in half while improving staff/patient satisfaction and increasing revenue. Built with enterprise-grade security and privacy, our platform delivers real operational transformation. About the Role Honey Health is seeking a Software Engineer to help build leading AI Agent systems that transform healthcare operations. In this role, you will contribute to designing and implementing the infrastructure for training and deploying highly useful AI Agents in healthcare. Our team's mission is to create seamless, robust platforms for AI Agents - enabling them to operate at scale and perform complex tasks safely and autonomously. You'll work closely with AI researchers, product teams, and operations teams to help translate cutting-edge technical research into impactful healthcare applications, automating back-office work and improving patient care. The ideal candidate is passionate about building AI Agents (especially in healthcare) and is motivated to learn, deliver high-quality work, and contribute to safe and beneficial AI systems. This is a full-time role based in the U.S., offering the opportunity to contribute to innovation at the intersection of AI and healthcare. Is This You? You're fired up about Agentic AI and ready to help shape the future of healthcare. You're joining at the perfect moment to build transformative AI agents, and you're here to learn fast and contribute boldly. You're deeply driven to make a meaningful impact - contributing to team culture at Honey, redefining value for healthcare providers and patients, and pushing the boundaries of innovation in one of the most impactful industries. You don't just solve problems - you take on challenging ones with ambition and drive. You bring energy, even in the face of complexity, aiming for excellence when it matters most. You bring initiative - sparking ideas, asking good questions, and supporting the team to explore ambitious paths in a fast-moving, open and exploratory environment. If these describe you, we should definitely talk. In this role, you will: Contribute to building and improving next-generation AI agent infrastructure to train and deploy healthcare AI agents, helping ensure the platform is efficient, reliable, and scalable for production environments. Assist with integrating the latest LLM advancements and in-house research into the agent platform, leveraging generative AI and (where applicable) reinforcement learning to enhance agent capabilities. Prototype features and integrations for AI agents with real healthcare data and services - supporting reliable, safe automation in complex workflows (e.g., automating administrative tasks) - and help implement secure, sandboxed execution to support robust operations. Collaborate with healthcare experts and cross-functional partners to turn novel AI research into practical features, and work with pilot customers and clinicians to validate and refine value in healthcare. Write clean, tested code and contribute to code quality, reliability, and monitoring practices to deliver an excellent experience for healthcare users. You might thrive in this role if you: 3+ years of industry-related experience. Are motivated by using AI as a force for innovation, care improvement, and system-wide change in healthcare. Have exposure to or interest in building AI and agentic systems (e.g., tool-calling stacks, orchestration frameworks), with familiarity or willingness to learn tools like LangChain, context engineering techniques, and RL-enhanced agents. Enjoy building new things quickly and iterating with the team; excited to learn how to scale systems as products grow. Bring a product mindset with a focus on quality and user impact; you care about technically sound solutions that improve end-user workflows and you value iterative improvement, testing, and delivering useful features. Are committed to continuous learning and improvement, with attention to detail and a growth mindset. Join us at Honey Health and apply your skills and curiosity in AI agents to solve real-world healthcare challenges. You will contribute to a new era where Agentic AI systems meaningfully improve healthcare - from reducing administrative burden to enabling better patient care - all while working with a team that values innovation, safety, and impact. We look forward to your curiosity, ownership, and drive in pushing the boundaries of what AI agents can do in healthcare. Apply now to help shape the future of health with us.

Robotics Software Engineer - Application Layer / High-Level San Francisco, CA (On-Site) $140,000 - $200,000 + Equity + Benefits U.S. Persons Only Are you passionate about cutting-edge robotics and real-time systems? Our client - an innovative, venture-backed robotics company - is developing next-generation autonomous platforms that push the limits of perception, control, and intelligent decision-making. They are looking for a Robotics Software Engineer to take ownership of the application layer that brings their robots to life. This is a unique opportunity to help shape real-world, mission-critical robotics technology alongside a small team of exceptional engineers. What You'll Do Architect, develop, and optimize the high-level application layer software for autonomous systems. Build and maintain real-time data pipelines connecting perception, planning, and control systems. Drive Sim2Real workflows - taking simulation code to live hardware environments. Collaborate closely with perception, controls, and hardware teams to integrate and test software across multiple robotic platforms. Profile and optimize performance for low-latency and resource-constrained environments. Contribute to world-class system architecture, clean codebases, and robust documentation. Occasionally assist with real-world field testing and system validation (some travel involved). What We're Looking For Strong proficiency in C++ and Python. Experience architecting and refactoring real-time systems under performance constraints. Deep familiarity with ROS2 (or equivalent robotics middleware). Experience building low-latency data pipelines linking perception → planning → control. Proven ability to debug and optimize complex interactions between hardware, middleware, and application logic. Excellent communication and documentation habits. Self-starter who thrives in a fast-paced, problem-solving environment. Bonus Points Personal or open-source robotics projects (e.g., UAVs, autonomous systems). Experience with RTOS or safety-critical software. Understanding of control theory or computer vision principles. Awareness of cybersecurity concepts relevant to autonomous systems. Why Apply? You'll be joining a team of highly driven engineers tackling real-world robotics challenges with immediate impact. If you're excited by the idea of architecting the brains behind autonomous machines - and you thrive in hands-on, high-performance environments - this is your chance to make a difference.

Software Engineer - On-Board Autonomy | San Francisco Join a pioneering space technology company developing spacecraft that can think for themselves. This is a chance to help shape the future of intelligent on-orbit autonomy, combining AI, robotics, and aerospace innovation. What You'll Do Design and implement real-time decision-making models for autonomous spacecraft. Develop algorithms that integrate perception, estimation, and prediction layers for mission control. Research and deploy machine learning models, from classical approaches to deep neural networks. Optimise and deploy large AI models on lightweight, edge-based hardware (Jetson, etc.). Contribute to autonomy infrastructure, testing, and mission-critical deployment frameworks. About You Degree in Computer Science, Robotics, Aerospace, or similar. 2+ years in aerospace, robotics, or autonomous systems. Skilled in C++ and Python, with experience using PyTorch or TensorFlow. Understanding of real-time planning, reinforcement learning, or optimal control. Comfortable blending classical autonomy methods with modern ML techniques. Bonus Points For Experience in UAVs, maritime robotics, or autonomous vehicles. Knowledge of edge computing, safety-critical systems, or real-time software. Familiarity with Docker, Kubernetes, and distributed training. Why Apply? Work on autonomy challenges few teams are tackling in aerospace. See your software run on spacecraft in orbit. Be part of a team redefining what's possible in intelligent space systems.

Front-End Software Engineer On-site: San Francisco Our client is an exciting new hedge fund, well capitalized, that was started by a pair of renowned industry veterans. We seek a Senior Frontend Developer who thrives on building intuitive user interfaces leveraging modern UI technologies. In this role, you'll be instrumental in defining our frontend architecture, developing sophisticated applications rom scratch, and working closely with other teams to deliver smooth, well-integrated user experiences. ________________________________________ Primary Duties • Develop advanced, reusable UI components using React and TypeScript • Architect scalable and maintainable frontend solutions • Manage features throughout their lifecycle-from ideation to release and upkeep • Work with backend engineers to define APIs • Write high-quality, well-tested, and clearly documented code • Support/mentor junior team members • Actively work to stay current on new technologies • On-call rotations as needed • Agile process ________________________________________ Requirements • CS degree or practical experience • 3+ years' experience • Expert in TypeScript and React • Demonstrated ability to build UI components from the ground up • Understanding and passion for modern frontend design principles/architecture • Passion for UX • RESTful and/or GraphQL API structures • Cloud: AWS, GCP, or Azure • Project leading experience • Comfortable with frontend testing and quality assurance practices

We're seeking a Full Stack Software Engineer with strong backend development skills in Python and frontend expertise in React.js. You'll help design, implement, and scale full stack web applications that are secure, performant, and user-centric. Responsibilities Architect, build, and maintain backend services using Python (FastAPI, Flask, Django) Design and implement dynamic and responsive frontends using React.js and/or Vue.js Create and consume RESTful and GraphQL APIs Build reusable components and libraries for frontend use Collaborate across teams to gather requirements, define solutions, and ensure quality Optimize performance and scalability of applications Write unit, integration, and end-to-end tests across the stack Participate in peer code reviews and provide mentorship where appropriate Required Qualifications 5+ years of experience in full stack development M.S. degree in relevant domain required Proficiency with Python and one or more major web frameworks (e.g., FastAPI, Django) Advanced skills in React.js, including Hooks, Context, and state management libraries (e.g., Redux, Zustand) Experience with Vue.js or interest in working across multiple frontend frameworks Familiarity with modern frontend tooling: Webpack, Vite, Babel, ESLint Solid experience with HTML5, CSS3, SASS/SCSS, and responsive UI design Strong understanding of RESTful services, API security, and performance optimization Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL options (MongoDB, Redis) Git and CI/CD best practices (GitHub Actions, CircleCI, GitLab CI) Strong communication skills and a collaborative approach to engineering Preferred Qualifications Familiarity with TypeScript Experience with cloud platforms (AWS, GCP, or Azure) Experience with Docker, Kubernetes, or container orchestration GraphQL and Apollo Client experience Familiarity with microservice architecture Experience working with real-time data (WebSockets, MQTT)

We are looking for a Software Engineer (Fresh Grads) at a YC backed ConstructionTech Startup. You must be a world-class engineer who loves simplifying complex systems, unifying fragmented data, and building high-scale backend systems. Role responsibilities Unification: we're unifying dozens-to-hundreds of fragmented systems under a single standard that we define. Our unification covers data objects, data models, authentication, account-linking UX, and features like filters and pagination. When designing any new feature, we have to do it in a scalable way. For example, when adding filters, we have to research each system we support (and plan to support) and create a generic, system-agnostic solution. On-prem: we're connecting with many types of on-prem systems (SQL-based, DLL-based, API-based), many built 20-40 years ago. We provide tremendous value to customers allowing them to interface with these systems in a secure, fast, reliable way, as if they're modern, cloud-based products. We need to support real-time communication and webhooks when they don't exist (e.g., using web-sockets). Scale & speed: we're handling millions of API requests per day, and growing daily. For our products that we power with our own API (e.g. Analytics), we need to store and retrieve large amounts of data in an efficient way, building elegant caching layers to reduce latency. We ship code daily and iterate quickly based on actual feedback from paying customers (they share tons!). Operational excellence: we're creating a reliable API layer on top of many old systems that don't have APIs. It's like building a skyscraper on quicksand, enforced by SLAs. We need to innovate in expanding the depth and breadth of our integrations while simultaneously increasing our development velocity. We need to be very creative in how to continually test our code and integrations, creating scalable testing frameworks that can catch edge cases and bugs across 1k+ endpoints. Mix of back-end and front-end: we're building front-end apps that dog-food our own APIs (e.g. Sync, Analytics). This helps us build world-class APIs because we suffer any pain present in our API. We're building both the lego blocks and the higher-level lego models: we see what kinds of APIs our SaaS customers want, then also look at the kinds of API niceties we want for our own applications (like a caching layer, advanced filtering) and implement a combination of the two. Variety: without knowing, you might assume adding a new integration is low-ambiguity and routine. But each integration we launch is special, completely different and posing unique challenges. This requires researching that system and its nuances in great depth before building on top of it. It's part engineering, part archeology. Who you are: 0 - 1 years of experience back- end/full- stack software engineer. Must be able to work independently without much guidance. Familiarity with cloud infrastructure (e. g. AWS, GCP, Azure etc) Recent experience at small (Seed/Series A/Series B/Series C) tech startup. Undergrad CS degree from a top 30 undergrad school in US or Canada Self- motivated, high ownership, low ego; desire to work on a fast- paced, intense, fun team. Excited to be our next hire; passion for building a world- class engineering culture Pumped to work in- person in SF 5 days per week.

A cutting edge AI startup based in San Francisco is looking for a founding engineer to own backend of their code generation platform. Software should be beautiful, and this firm aims to provide generative creativity, allowing users to explore endless designs from a single idea. This role is for an engineer who is passionate about building sophisticated, performant, and scalable backend systems for AI-powered design tools. The ideal candidate will have a proven track record of impactful work at companies known for their sophisticated backend engineering, major contributions to notable open-source projects, or a seriously impressive portfolio of complex backend builds. Experience with chat applications, reliable streaming, headless browser automation (Puppeteer/Chromium), and managing complex project state is highly desirable. Express.js, Next.js (server actions), AWS (infrastructure primitives), Terraform, Pulumi, SST, OpenAI SDK, Anthropic SDK, Gemini SDK, Puppeteer, Chromium 180-235k base + equity