Lead technician jobs in Hayward, CA

We are hiring: Senior Engineering Lead - Full-Stack, Enterprise SaaS Systems MeeruAI | Pleasanton, California Full-Time or Contract-to-Hire (Minimum 3-Month Contract) | Hybrid MeeruAI is an AI-first enterprise SaaS company building intelligent platforms that help organizations automate workflows, unify data, and deliver real-time insights with enterprise-grade reliability and security. MeeruAI is a global digital transformation and technology services firm known for delivering large-scale enterprise solutions across cloud, data, AI, and platforms, deep domain expertise and engineering rigor, MeeruAI combines startup speed with proven enterprise execution, enabling us to build scalable, production-ready AI systems for modern businesses. About the Role We are seeking a Senior Engineering Lead (Full-Stack) to own the end-to-end architecture, design, and hands-on implementation of complex, enterprise-grade B2B SaaS systems. This is a senior individual contributor role requiring deep technical leadership, strong execution skills, and a passion for building scalable, secure, and high-performance platforms. You will work across frontend, backend, APIs, microservices, and data pipelines, while applying AI-assisted engineering workflows to accelerate delivery and improve quality. As a technical authority, you will collaborate closely with Product, UX, Analytics, Security, and peer engineers to shape platform direction and execution. What You will Do Architect and scale enterprise SaaS systems across frontend, backend, APIs, microservices, and data pipelines Write production-quality code, lead complex refactors, and conduct architecture and design reviews Deliver robust features rapidly using modern engineering practices and AI-accelerated workflows Leverage tools such as GitHub Copilot, Cursor, Replit, Claude/other agents, and PromptPex for coding, refactoring, and testing Validate new ideas through spike-first prototyping and experimentation before full implementation Build cloud-native services for LLMs, RAG pipelines, vector databases, and AI agent workflows Produce high-quality technical documentation, design specs, and internal technical narratives Collaborate cross-functionally with Product, UX, Analytics, and Security teams Define SLOs/SLIs, enhance observability, and ensure systems meet performance, scalability, and availability targets Required Qualifications 12+ years of software engineering experience, focused on enterprise B2B SaaS systems 10+ years of hands-on development building scalable, reliable, modular SaaS platforms Strong proficiency in frontend and backend engineering (React/TypeScript, Node.js or Python, SQL/NoSQL) Deep experience with system design, distributed systems, and cloud platforms (AWS, GCP, or Azure) Familiarity with microservices, containerization, Kubernetes, CI/CD pipelines, and observability tools Proven ability to deliver complex features under tight timelines in high-growth or startup environments Experience integrating AI-assisted developer tools into day-to-day engineering workflows Compensation Salary Range: $145,000 - $160,000 base salary (California market) Work Location Hybrid - Pleasanton, CA This role requires on-site presence at least three (3) days per week in our Pleasanton office. Please apply only if you are currently local to the Pleasanton area. Relocation assistance is not available for this role.

About Us Every patient deserves fast access to life-changing medications. We're building the AI operating system that makes it happen, automating the phone calls, texts, data entry, and complex workflows that slow pharmacies down. We're backed by Gradient Ventures (Google's AI fund) with more demand than we can handle. Why we need you We're building AI-powered systems that handle real patient communication and pharmacy workflows. As an engineer, you'll work directly with our founding team to ship features end-to-end-from LLM-powered voice and text systems to integrations with pharmacy platforms. This is a hands-on, full-stack role where you'll own technical decisions that shape how our product scales. What you'll do Build and ship AI-powered voice, text, and workflow automation systems Own features end-to-end: design, implementation, deployment Create integrations with pharmacy and patient management systems Solve hard problems: LLM optimization, reliable systems on unreliable APIs, abstractions that speed up customer implementations Establish engineering patterns as we scale Must-have experience 4+ years of software engineering experience Solid programming fundamentals; Python experience a plus Hands-on experience with AI tools, APIs, or prompt engineering Track record of owning projects, not just implementing specs Nice-to-haves Experience at early-stage startups Background building LLM-powered applications Familiarity with voice/telephony systems Event driven architectures Location: Hybrid in Palo Alto (Mon/Wed/Thurs) Compensation: $175k - $250K + generous equity, full benefits, flexible PTO

The Residential Energy Software Engineer will support the development and validation of advanced residential energy systems within an industry-leading organization. This role focuses on building, testing, and maintaining high-quality software that manages energy hardware end to end. The position involves close collaboration with cross-functional teams to ensure system reliability, performance, and safety in a fast-paced environment. Key Responsibilities: • Collaborate with product managers and cross-disciplinary engineers to develop technical designs and specifications • Design, develop, and maintain scalable and reliable software systems for residential energy solutions • Contribute to overall system architecture and integration strategies • Develop applications for system installation, configuration, monitoring, and diagnostics • Partner with engineering teams to design and implement application programming interfaces • Drive technical innovation to improve system reliability, performance, and developer productivity Required Qualifications: • Bachelor's degree in Computer Science or equivalent practical experience • Experience developing highly available, mission-critical software applications and test suites • Proficiency with system programming languages such as C, C Plus Plus, Rust, Go, Java, or C Sharp • Hands-on experience with Internet and Internet of Things protocols such as HTTP, REST, WebSockets, gRPC, or Matter • Ability to multitask, prioritize work, and perform effectively in a fast-paced, collaborative environment Preferred Qualifications: • Experience with embedded systems and related communication protocols • Exposure to web development, data analysis, or data science tools • Familiarity with common cryptography mechanisms Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually - as applicable. Pay Range: $60 - $67 per hour (depending on experience)

**THIS IS A FULLY ONSITE 4 DAYS A WEEK ROLE PLEASE ONLY APPLY IF YOU CURRENTLY LIVE IN THE BAY AREA** Title: SAP ETQ Technical Analyst Duration: 18 months Job Description: The Technical Analyst will lead and manage the implementation of various quality processes within the ETQ-SAP environment like these: NCM/CAPA Processes. Deviation/Waiver process. APQP, PPAP Processes. Containment/Purge Process. Qualifications: 3-5 years in SAP Quality Module Configurations, Enhancements 2-5 years in ETQ or a similar QMS application with SAP Integration like TrackWise, MasterControl, etc.. Should have created new QN types, Interfaced SAP QM with non-SAP applications. Expertise with SAP RICEWFs end to end Customizing ETQ Applications or any Quality Management Applications . Experience in Interfacing ETQ/QMS applications with SAP and other Quality systems. Ability to work independently, manage multiple deliverables, and act as a liaison between business and technical teams. Bachelor's degree in engineering, or a related field preferred. An SAP and ETQ certifications will be a plus

About VIVIO 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're seeking a mission-aligned Tech Lead to help build and improve our products. As a hands-on technical leader, you'll play a crucial role in architecting and developing data-driven solutions. This position combines technical expertise with leadership skills to drive our technology vision forward. This is a Hybrid role with a minimum of 3 in-office days in our Hayward office. Key Responsibilities: Lead software development initiatives while maintaining hands-on involvement Architect and develop data-producing/consuming software solutions Ensure high-quality deliverables through well-designed, maintainable, and unit-tested code Support distributed web applications in a complex, evolving environment Manage the entire application lifecycle from design to monitoring Collaborate across departments to align technical solutions with business goals Qualifications Required Qualifications: BS or advanced degree in Computer Science or equivalent practical experience 5+ years of hands-on Python development experience. 8+ years of software engineering experience Strong understanding of regulated environments (PCI DSS, ISO 27001, HIPAA, NIST) Experience with relational databases (MySQL) Proficiency in RESTful APIs and microservices architecture Experience with Atlassian toolset and Agile development methodologies Proven track record managing distributed development teams Healthcare industry experience preferred Key Attributes: Active problem solver with a "figure it out" mindset Clear and proactive communicator Exceptional attention to detail Ability to balance technical leadership with hands-on development Passion for mentoring and growing engineering talent Additional Information Compensation & Benefits Base Salary: $160,000 - $ 180,000 Bonus Eligible Comprehensive Benefits Package: Medical, Pharmacy, Dental, Vision Life Insurance Stock Options 401(k) with Company Match PTO Full-time position Dynamic, collaborative work environment Opportunity to make a real impact at a growing 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.

Robotics Software Engineer (Generalist/Full-Stack) Robotic Software Engineer - Humanoid Robotics Palo Alto, SF Bay Area (Full-time | Onsite) $180k-$200k + equity (flexible for exceptional candidates) We are recruiting building next-generation humanoid robotic systems that combine advanced AI with cutting-edge hardware. Our team moves fast, prototypes aggressively, and puts real robots into the world. We're now hiring a Robotic Software Engineer to help shape our core software stack and accelerate the development of our embodied AI systems. What You'll Work On As part of a small, high-impact engineering team, you will: Build and optimise robotics software in C++ and ROS2 Integrate perception, control, planning, and learning modules Work hands-on with robots to bring up new hardware and run real-world experiments Deploy reinforcement learning / imitation learning policies onto physical robots Develop middleware, interfaces, and tooling that connect AI → hardware Prototype behaviours across diverse robot types (arms, humanoids, mobile platforms, drones) This role directly supports both our AI and hardware teams and has significant ownership from day one. Must-haves: Strong C++ development skills (multi-threading, performance, systems-level) Professional experience with ROS2 Hands-on robotics experience - ideally robot learning on physical hardware Ability to work on real robots (debugging, integration, testing) Generalist mindset and comfort in a fast-paced startup environment Nice-to-haves: Manipulation or kinematics (humanoids, arms, quadrupeds) Controls for mobile robots or drones Sensor/actuator integration, drivers, or middleware experience VR prototyping (Meta Quest or similar) Experience across different robot embodiments Why Join Us Build software that runs on real humanoid robots immediately High ownership within a small, world-class engineering team Competitive compensation + meaningful equity Opportunity to influence architecture, roadmap, and product direction Work at one of the most exciting intersections in tech: AI × robotics

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)

Software Engineer - Perception | Los Angeles / San Francisco 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: $150,000 - $180,000+ depending on level Equity participation Full medical, dental, and vision coverage 401(k) with company match Flexible PTO and paid leave Location & Requirements Los Angeles or 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.

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!

We are actively searching for a Founding Protocol Engineer to join our team on a permanent basis. In this position you will If you are someone that is impressed with what Hyperliquid has accomplished then this role is for you. We are on a mission to build next generation lending and debt protocols. We are open to both Senior level and Architect level candidates for this role. Your Rhythm: Drive the architecture, technical design, and implementation of our lending protocol. Collaborate closely with researchers to validate and test designs Collaborate with auditors and security engineers to ensure safety of the protocol Participate in code reviews, providing constructive feedback and ensuring adherence to established coding standards and best practices Your Vibe: 5+ years of professional software Engineering experience 3+ years of experience working in Solidity in EVM in production environments, specifically focused in DeFi products 2+ years of experience working with a modern backend languages (Go, Rust, Python, etc) in distributed architectures Experience building lending protocols in a smart contract language Open to collaborating onsite a few days a week at our downtown SF office Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

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.

What You'll Do You will join a small, elite product pod operating like a founding team inside the company. Your work will directly shape the future of entirely new product lines-from ideation to product-market fit to scaling toward $10M+ ARR. In this role, you will: Drive products from 0 → 1 → 10M ARR, owning development end-to-end. Lead feature creation, product decisions, customer conversations, and full-stack execution. Build high-impact AI products used daily in real industrial workflows (e.g., accounts receivable automation, lead-gen automation, factory operations tools). Collaborate directly with multibillion-dollar enterprise clients to understand pain points and design solutions. Occasionally visit factories and warehouses to observe real users and validate workflows (infrequent but highly impactful). This role is ideal for someone who wants meaningful ownership, fast iteration cycles, and the ability to build products with immediate real-world impact. Who We're Looking For Profile Archetypes We Like We've found people with the following backgrounds thrive in this environment: Early-career engineers (early to mid-20s) with 2-5 years at a high-growth, respected startup Experience at strong companies through internships Involvement in elite tech or founder communities (e.g., Neo, Contrary, 8VC, Dorm Room Fund) Degree in computer science from a strong technical university (Master's degree is a plus) Solid backend engineering skills; full-stack, CI/CD, and infra experience are strong bonuses Bonus: tried starting a company before (even if small or not VC-backed) Mindset & Traits Builder mentality - loves shipping quickly and iterating in the wild Comfortable with ambiguity and owning entire product surfaces Strong customer intuition or willingness to develop it Energized by small teams, high autonomy, and high expectations Excited to build AI products that deliver value from day one

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 seeking a dynamic and passionate Senior Front End Software Engineer with strong software fundamentals to join a high-performing platform development team. This Senior Front End Software Engineer role is a unique opportunity combining hands-on work, mentorship, and growth opportunities. You will join a small team that is responsible for the UI implementation and maintenance across a number of functional areas. This is an opportunity to contribute on a daily basis to improving our users' experiences and build unique expertise in our product. Key Responsibilities: Partner cross-functionally with Product Managers and Designers to define and deliver new features and solutions. Collaborate with engineering teams across the stack to build scalable, user-facing features. Work closely with the Support team to triage bugs and resolve production issues quickly Drive planning and execution of mid- to large-scale projects, seeing them through from conception to launch. Act as the subject matter expert within the organization while resolving complex technical issues or challenges. Oversee the full systems development lifecycle - including system architecture definition, detailed design, scoping, planning, implementation, testing + documentation, and maintenance. Qualifications: 6+ years of front-end development experience Strong technical background (degree in Computer Science, Engineering, or related field preferred, or equivalent experience). Advanced knowledge of HTML, CSS and ES6 JavaScript is a must. Advanced knowledge of React, Next.js, and TypeScript Experience using/consuming REST APIs with an advanced understanding of client-server interaction. Experience with AGILE/Scrum development methods. Expert level problem solving & communication 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.

We are seeking a skilled and motivated Java Developer to join our software engineering team. The ideal candidate will be instrumental in designing, developing, and maintaining high-performance, scalable Java applications that require complex data management across both relational (SQL) and non-relational (NoSQL) databases. Proven experience as a Java Developer, with 3-8 years of hands-on experience in software development. Strong proficiency in Core Java and object-oriented programming (OOP) principles. Extensive experience with Java frameworks, particularly the Spring ecosystem (Spring Boot, Spring MVC, Spring Data JPA). Proficiency in database technologies, including writing complex queries for SQL (e.g., MySQL, PostgreSQL) and working knowledge of NoSQL databases (e.g., MongoDB). Experience with building RESTful APIs and understanding microservices architecture. Familiarity with version control systems (Git) and build tools (Maven/Gradle). Knowledge of front-end technologies (HTML, CSS, JavaScript) is a plus. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) is preferred.

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

Our client is a VC-funded SaaS startup located in San Francisco, CA building AI-powered data analytics and documentation soluitions for the biotech and pharmaceutical industries. They are currently looking for a Senior AI Software Engineering Manager / Team Lead to work on-site in their office 3 days / week. Qualified candidates will have experience working as an AI Engineering Team Lead / Manager w/ 7-10+ years of experience working with Python (Django) to build data structures and implement LLM components and automation / testing / training leveraging LLM-in -the loop (LLM-ITL) or Human-in-the-loop (HITL). Hands on ~75%, management of a team of 3 ~25%. Responsibilities include building AI architecture, roadmapping / planning, etc. Industry experience in B2B SaaS, workplace tools or document management is desired. BSCS or equivalent. Must have startup experience. Experience working in a highly regulated domain involving data privacy and security is preferred. This role is hybrid on-site, in the office 3 days / week in San Francisco, CA. The role features competitive compensation, comprehensive company-paid healthcare benefits, 401k with company matching and potential performance bonus. Please send your resume to ******************* for immediate consideration.

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)