Lead technician jobs in San Jose, CA

We're a Series A and we need a systems-savvy engineer who can architect, optimize, and turbocharge our multi-target runtime from day one. If concurrent programming is your playground, C++14 is your native language, and you think in cache lines, pipelines, and memory hierarchies, this role puts you at the heart of the action. What You'll Do Design, build, and continually improve our multi-target runtime Apply cutting-edge parallelization + partitioning techniques to generate and exploit highly optimized kernels Rapidly prototype ideas and validate them with real data What You Bring Deep expertise in asynchronous + concurrent programming 4+ years of modern C/C++ Strong grasp of hardware architecture (scalar vs vector, memory hierarchies, etc.) Knowledge of OS kernel or hypervisor development Bonus Points CUDA/ROCm library experience GPU programming background HPC experience MS/PhD in CS or equivalent Familiarity with PyTorch, JAX, Triton Experience wrangling large compute clusters Why You'll Love It You'll own critical, performance-sensitive systems that sit at the core of our stack; shaping how next-gen ML models run across diverse hardware. High impact, deep tech, zero bureaucracy. If you want to engineer at the limits of performance and help build a runtime that changes the game let's talk!

A pioneering and well-funded AI company is seeking a talented Python Backend Engineer to build the core infrastructure for its revolutionary autonomous systems. This is a unique opportunity to join an innovative team at the forefront of engineering and artificial intelligence, creating a new category of software that will redefine how complex products in sectors like aerospace, automotive, and advanced manufacturing are designed and developed. Why Join? Build the Future of Engineering: This isn't just another backend role. Your work will directly shape how next-generation rockets, cars, and aircraft are designed, fundamentally changing the engineering landscape. Solve Unprecedented Technical Puzzles: Tackle unique challenges in building the infrastructure for autonomous AI agents, including simulation orchestration, multi-agent coordination, and scalable model serving. Shape a Foundational Platform: As a critical member of a pioneering team, you will have a significant impact on the technical direction and core architecture of an entirely new category of software. Join a High-Impact Team: Work in a collaborative, fast-paced environment where your expertise is valued, and you have end-to-end ownership of critical systems. Compensation & Location: Base salary of up to $210,000 + equity + benefits, while working on-site with the team in a modern office in downtown San Francisco. The Role As a Python Backend Engineer, you will be instrumental in constructing the infrastructure that underpins these autonomous engineering agents. Your responsibilities will span model serving, simulation orchestration, multi-agent coordination, and the development of robust, developer-facing APIs. This position is critical for delivering the fast, reliable, and scalable systems that professional engineers will trust and depend on in high-stakes production environments. You will: Own and build the core backend infrastructure for the autonomous AI agents, focusing on scalability, model serving, and multi-agent orchestration. Design and maintain robust APIs while integrating essential third-party tools like CAD software and simulation backends into the core platform. Develop backend services to process and serve complex 3D visualizations from simulation and geometric data. Collaborate across ML, frontend, and simulation teams to shape the product and engage directly with early customers to drive infrastructure needs. Make foundational architectural decisions that will define the technical future and scalability of the entire platform. The Essential Requirements Strong backend software engineering experience, with a primary focus on Python. Proven experience in designing, building, and maintaining production-level APIs (FastAPI preferred but Flask and Django also considered). Experience with 3D visualization libraries or tools such as PyVista, ParaView, or VTK. Excellent systems-thinking skills and the ability to reason about the interactions between compute, data, and models. Experience working in fast-paced environments where end-to-end ownership and proactivity are essential. Exceptional communication and collaboration abilities. What Will Make You Stand Out Experience integrating with scientific or engineering software (such as CAD, FEA, or CFD tools). Exposure to agent frameworks, workflow orchestration engines, or distributed systems. Familiarity with model serving frameworks (e.g., TorchServe, Triton) or simulation backends. Previous experience building developer-focused tools or working in high-trust, customer-facing technical roles. If you are interested in this role, please apply with your resume through this site. SEO Keywords for Search Python Backend Engineer, Python Software Engineer, Backend Engineer, Software Engineer, Python Developer, AI Engineer, Machine Learning Infrastructure, MLOps Engineer, Backend Software Engineer (Python), Senior Backend Engineer, AI/ML Engineer, Infrastructure Engineer, FastAPI Developer, PyVista, ParaView, VTK, 3D Visualization, Docker, Kubernetes, Cloud Engineer, AI Platform Engineer, Distributed Systems Engineer, Simulation Software Engineer, CAD Integration, CFD, FEA, Scientific Computing, High-Performance Computing (HPC), Agent Frameworks, Workflow Orchestration, Technical Lead, Staff Engineer. Disclaimer Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.

C++ Software Developer E-mail: ***************************** Full time On-Site We are looking for a capable and experienced Software Engineer to build high performance Linux software with strong modern C++ expertise. The Engineer will participate in developing a multi-disciplinary system which includes an AI module and interaction with HW interfaces and sensors. Responsibilities: · Implement, optimize, and integrate C++ software for the edge devices that control the vehicles · Represent the SW team and Architecture guidelines for multiple engineering domains · Develop new modules for autonomous driving applications · Create development tools for the modules: building, configuring, logging and debugging Requirements: · B.Sc / B.A - Computer Science or other relevant university degree · 3+ years of experience in modern C++ (17/20) · 2+ years of experience in multi-threading over Linux systems · Relevant experience in GPU / CPU processing, inter-device communication, and HW interfaces · Proficiency in code development tools: CI/CD, Git, code reviews, Build systems, unit tests · Proven record of developing deployment-level products Nice to have: · Development of systems involving both SW & HW · Experience in Algorithm development or Signal processing · CUDA or OpenCL for GPU acceleration · Realtime systems development

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

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.

About Us At Autonomous Healthcare, we are at the forefront of medical innovation, developing the next generation of devices that will revolutionize patient care. Our mission is to commercialize breakthrough medical technologies by leveraging cutting-edge AI and autonomous systems. We believe that the best solutions are built together, and we are looking for a key member to join our collaborative R&D team. About the Role We are seeking a highly motivated and skilled engineer to join our team in developing next-generation patient monitoring systems. This role is at the intersection of computer vision, signal processing, and high-performance software engineering. You will be responsible for building the core analytical engine that transforms raw depth-sensor video into actionable health information. This is not a purely theoretical position. You will be hands-on, designing algorithms that are efficient enough for real-time applications and robust enough for real-world clinical use. You will write the production-level Python code that brings these algorithms to life on cutting-edge edge computing platforms. If you are a problem-solver who thrives on analyzing complex sensor data and building tangible, high-performance systems, we want to hear from you. Key Responsibilities Develop and implement real-time computer vision algorithms in Python to detect, track, and analyze regions of interest from video data (specifically depth sensors). Design and build signal processing pipelines to extract, filter, and interpret physiological movement data from sensor signals. Optimize algorithms for performance to meet strict real-time processing requirements. Deploy and validate analysis software on edge computing platforms with GPU acceleration (e.g., NVIDIA Jetson). Collaborate in a multidisciplinary team to integrate your solutions into a complete monitoring product. Rigorously test, debug, and document your code and algorithms. Required Qualifications Strong proficiency in Python and experience writing clean, efficient, and maintainable code. Solid foundation in computer vision principles and hands-on experience with libraries like OpenCV. Solid foundation in digital signal processing (e.g., filtering, time-series analysis, feature extraction) and experience with libraries like SciPy or NumPy. B.S. or M.S. in Computer Science, Robotics, Electrical Engineering, Biomedical Engineering, or a related technical field. Demonstrable experience in analyzing imaging or sensor data to solve complex problems. Excellent problem-solving skills and the ability to work independently and as part of a team. Preferred Skills (We'd love to see these) Experience with high-performance edge computing platforms (e.g., NVIDIA Jetson). Familiarity with GPU programming (e.g., CUDA, TensorRT) for accelerating algorithms. A background in robotics, autonomous vehicles, or real-time analysis of sensor data (e.g., LiDAR, RADAR, IMU). Experience with depth sensors, 3D data processing, or point cloud analysis. Knowledge of machine learning or deep learning frameworks (e.g., PyTorch, TensorFlow) for vision or time-series tasks. Familiarity with software development best practices (e.g., Git, unit testing, CI/CD).

At Viven, we are pioneering the next generation of AI-powered Digital Twin solutions that help enterprises unlock the power of organizational intelligence. Our platform integrates data across ecosystems, creates actionable insights, and empowers leaders to drive innovation, efficiency, and growth. We are reimagining the future of work by solving one of the toughest challenges for enterprises: knowledge continuity . When employees join or leave, when teams scale, or when leaders need to be in two places at once - Viven ensures memory, style, and execution carries forward. Our platform blends personalization with enterprise-grade trust and privacy. Role Overview: We are looking for an experienced Full-Stack Engineer with strong experience in Next.js to join our core engineering team. This Full-Stack Software Engineer will be responsible for designing and implementing features across both the frontend (70%) and backend (30%), with a primary focus on building user-facing applications that are fast, scalable, and user-friendly. Key Responsibilities: Design and implement efficient, scalable APIs and interfaces that connect frontend applications to backend systems. Develop responsive, user-friendly web applications in Next.js, ensuring speed, accessibility, and cross-device performance. Optimize applications for performance, scalability, and maintainability, balancing rapid iteration with solid engineering practices. Collaborate cross-functionally with product managers, designers, and researchers to conceptualize and ship new features. Troubleshoot and debug issues across the application stack, including frontend performance, backend integration, and deployment challenges. Contribute to code reviews, technical discussions, and architecture decisions, helping set best practices for a growing team. Play a key role in 0→1 product development, turning prototypes into production-ready features. Qualifications: 3+ years of professional experience as a full-stack or frontend engineer Strong technical background (degree in Computer Science, Engineering, or related field preferred, or equivalent experience). Strong expertise in Next.js is a must. Solid experience with modern frontend development (React, TypeScript, CSS frameworks). Hands-on backend experience at the application level: building and maintaining APIs, working with databases, and troubleshooting backend issues. Understanding of scalability and performance optimization for web applications. Experience working at early-stage startups or on 0→1 product launches. A self-starter mindset-comfortable owning projects, making decisions with incomplete information, and iterating quickly. Strong communication and collaboration skills. Learn More About Us: Viven Emerges from Stealth | TechCrunch Visit our Careers Page Equal Opportunity Employment: Viven is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants. We value diversity and are dedicated to fostering an inclusive environment for all employees, regardless of race, color, sex, gender identity or expression, age, religion, national origin, ancestry, citizenship, disability, military or veteran status, genetic information, sexual orientation, marital status, or any other characteristic protected under applicable law. If you are passionate about AI and eager to make an impact, we would love to hear from you. Apply today to join the Viven team and help us build the future of AI.

HCLTech is looking for a highly talented and self- motivated Robotics Software Engineer to join it in advancing the technological world through innovation and creativity. Job Title: Robotics Software Engineer Position Type: Fulltime Location: East Brunswick NJ or Santa Clara CA As a Robotics Software Engineer, you will bring business value to our clients through the development, optimization, and implementation of robotic software solutions. You will use the latest technologies and frameworks to create efficient and reliable robotic systems. We are seeking experienced professionals for our open position. What will You do: Develop robot control algorithms to enhance robotic functionality. Implement simulation scenarios to test and validate robotic behaviors. Write Python/C++ scripts to program robot behavior and interactions. Integrate simulation environments with ROS/ROS2 for seamless operation. Conduct performance tests and troubleshoot software issues. Collaborate with hardware engineers to ensure software-hardware compatibility. Qualifications: We want to hear from you if you have: Experience in robotics software engineering. Solid knowledge of Python programming, robot kinematics, and control theory. Experience with simulation frameworks and ROS/ROS2. Professional level of English (written and oral). Excellent problem-solving, analytical, and communication skills. Intelligent, communicative team-player personality, interested in and willing to learn new skills and technologies. Pay and Benefits Pay Range Minimum: $120000 per year Pay Range Maximum: $130000 per year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to ****************** for investigation. A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You'll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

As a software engineer at General Medicine, you'll help build and scale a healthcare store that makes it delightfully simple to shop for any type of care. We provide upfront cash and insurance prices for virtual and in-person visits, prescriptions, labs, imaging, and more. What we're looking for We're looking for strong engineers to help us build a seamless and beautiful consumer healthcare product. We're looking for folks who will obsess over every detail of our patient experience, and also tackle the complex operational challenges of delivering care at scale. We are looking for engineers who care deeply about technical excellence but are also comfortable moving quickly - we are constantly navigating tradeoffs between engineering velocity and quality. Our ideal candidate is hungry, high-agency, and aspires to be a generalist. Our engineers frequently write product requirements documents, write SQL to understand how features are performing, and own QA - no task is beneath us or outside of the scope of the role if it helps us to deliver a great product. We're looking for someone who can operate in an environment of significant ambiguity, and who is comfortable working closely with design, operations, and clinical stakeholders. We don't expect you to have a healthcare background (though it's great if you do!). However, you should be excited by the prospect of digging into the messy complexities of the American healthcare system (integrating with EHRs, revenue cycle management, etc). Qualifications 2+ years of experience building web apps as a full-stack engineer Experience with modern infra tooling and programming languages. We currently use AWS, Ruby on Rails, and NextJS, and would expect you to have proficiency in a modern tech stack even if it isn't the one we are using. Please note that this role is based in either our SF office (near Market and Spear St) or our Boston office (Central Square, Cambridge). We expect our team to work from the office least 3 days per week. Why join us We're an experienced team that has built a company in this space before, our product has clear product-market fit, and we've raised money from top investors. We have an ambitious and distinctive vision for what can be built in consumer healthcare. We believe LLMs and price transparency legislation have opened up several massive opportunities. If you're an ambitious and entrepreneurial software engineer and this resonates, please apply.

Job Title: Software Engineer (All Levels) - Mountain View, CA Team: Core Engineering Employment Type: Full-Time About the Role: We're building a transformative real-world product that operates at the intersection of autonomy, connectivity, and scale. As part of our growing engineering team in Mountain View, you'll contribute to a cutting-edge system that brings together diverse areas of software-from low-level hardware integration to high-level user experience. We're looking for engineers at all levels who thrive in collaborative environments and enjoy solving complex, real-world challenges. Whether your expertise lies in distributed systems, computer vision, full stack development, embedded systems, or data pipelines, there's a place for you here. What You'll Do: Your contributions will vary based on your expertise, but opportunities include: Building scalable distributed systems for real-time processing and coordination Developing and refining perception pipelines and ML-driven computer vision systems Designing, implementing, and testing embedded software with real-world constraints (latency, power, bandwidth) Creating intuitive web interfaces and backend APIs for monitoring, control, and insights Architecting robust QA frameworks to support system-level reliability and automation Enhancing connectivity and wireless performance in dynamic, multi-device environments Working on advanced control algorithms and sensor fusion pipelines to ensure safe, stable operation We're Looking For Engineers Who: Are passionate about building resilient, high-performance systems Have strong fundamentals in computer science or electrical engineering Value code quality, testability, and performance Can collaborate across disciplines (hardware, software, data) Are comfortable working in a fast-moving, iterative environment Preferred Experience (You don't need all of these): Experience with C++, Python, Go, or Rust Background in real-time systems or embedded development Familiarity with machine learning, computer vision, or sensor fusion Knowledge of cloud platforms and scalable infrastructure (e.g., Kubernetes, AWS) Prior work on autonomous systems, robotics, or high-reliability systems Why Join Us: This is your chance to work on a product that operates in the physical world and has a direct impact on safety, autonomy, and connectivity. You'll work alongside a highly skilled, mission-driven team in a collaborative and supportive environment. We're building something unique-and we'd love for you to be a part of it.

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.

ava development with strong proficiency in frameworks like Spring, Spring Boot, Hibernate, etc. Proven leadership experience in managing development teams and driving technical projects. Experience in offshore-onshore team coordination, with a clear understanding of collaboration challenges and solutions. Strong expertise in building scalable, robust, and high-performance applications. Familiarity with microservices architecture, RESTful APIs, and cloud technologies (AWS/Azure/GCP). Excellent problem-solving, analytical, and debugging skills. Strong communication and interpersonal skills to effectively lead a team and interact with stakeholders. Preferred Qualifications: Experience with Agile/Scrum development practices. Exposure to frontend technologies like Angular or React (nice to have). Familiarity with version control systems (e.g., Git).

Founding Engineer $140K - $200K + equity San Francisco (Onsite Role) Direct Hire A fast growing early-stage start who recently secured a significant amount at Seed is actively hiring 3x software engineers to join their founding team. They're looking for people who are scrappy, move fast, challenge assumptions, and are driven to win. They build quickly and expect teammates to push boundaries. Who You Are Make quick, reversible (“two-way door”) decisions Proactively fix problems before being asked Comfortable working across a modern engineering stack (e.g., TypeScript, Python, containerisation, ML/LLM tooling, databases, cloud environments, mobile frameworks) Have built real, shipped products Thrive in ambiguity and fast-moving environments What You'll Do Talk directly with users to understand their workflows, pain points, and needs Architect systems that support large enterprise usage Build automated pipelines and intelligent agents that process and verify large volumes of data Maintain scalable, robust infrastructure Ship quickly - progress over perfection The Reality You'll work closely with the founding team and directly with customers User value beats hype, trends, and “cool tech” Expect a demanding, high-output culture If you're a Software Engineer with 2 + years' experience and want to work in a growing start-up, please do apply now for immediate consideration.

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. We're hiring Backend Software Engineer - Cloud Services in Sunnyvale, CA . What You'll Do Take full ownership of your services: drive the design, contribute new features, participate in peer reviews, and deliver production-ready solutions. Develop software primarily in Java and Python. Work with Kubernetes or be willing to quickly ramp up on container orchestration. Own end-to-end responsibility for major features and subsystems-from refining requirements to successful deployment in customer environments. Manage operational health of your services, including telemetry, metrics, and rapid production issue detection. Ensure high code quality through early testing, functional verification, and integration testing. Collaborate closely with Product Management to clarify scope, finalize requirements, and plan delivery. What You'll Bring Bachelor's degree in Computer Science or similar field (Master's preferred). 3+ years of experience building scalable, distributed systems. A strong passion for building software, learning new technologies, and collaborating in a team environment. Hands-on experience with AWS, Azure, or GCP, particularly at the programming/API level. Background in networking or security is a plus. Proficiency in Java and/or Python, with familiarity using REST APIs. Experience with CloudFormation or Terraform is beneficial. Knowledge of Spring or similar backend frameworks. Understanding of Kubernetes, Docker, and containerized environments is helpful. Familiarity with classic Gang of Four design patterns. Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment

🚀 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.

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'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)

Founding Engineer $140K - $200K + equity San Francisco (Onsite Role) Direct Hire A fast growing early-stage start who recently secured a significant amount at Seed is actively hiring 3x software engineers to join their founding team. They're looking for people who are scrappy, move fast, challenge assumptions, and are driven to win. They build quickly and expect teammates to push boundaries. Who You Are Make quick, reversible (“two-way door”) decisions Proactively fix problems before being asked Comfortable working across a modern engineering stack (e.g., TypeScript, Python, containerisation, ML/LLM tooling, databases, cloud environments, mobile frameworks) Have built real, shipped products Thrive in ambiguity and fast-moving environments What You'll Do Talk directly with users to understand their workflows, pain points, and needs Architect systems that support large enterprise usage Build automated pipelines and intelligent agents that process and verify large volumes of data Maintain scalable, robust infrastructure Ship quickly - progress over perfection The Reality You'll work closely with the founding team and directly with customers User value beats hype, trends, and “cool tech” Expect a demanding, high-output culture If you're a Software Engineer with 2 + years' experience and want to work in a growing start-up, please do apply now for immediate consideration.