Lead technician jobs in Milpitas, 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

Our client is building the world's fastest-growing marketplace for elite creative talent. We connect award-winning artists, directors, musicians, animators, and designers with frontier AI labs developing the next generation of multimodal systems including models like Sora, Suno, Runway, and Grok Imagine. This role is paying up to $300k salary base with 2% equity in top. Must have AI/LLM/Multimodal experience. Fully onsite role. We are a small, high-talent-density team from Stanford and Mercor, backed by: The Co-Founder of xAI The Founder of Periodic Labs Researchers from OpenAI's Sora team DeepMind alignment & evaluation leads Senior researchers from Salesforce AI, Meta, Google, and Anthropic Role Overview As a Founding Engineer, you will own core product surfaces, architecture, and infrastructure for the platform. You'll help shape engineering culture, drive rapid product iteration, and work directly with founders to build the marketplace and data systems powering the next wave of multimodal AI innovation. This role is ideal for someone who thrives in high-agency environments, ships quickly, and enjoys solving end-to-end problems across the stack. What You Will Build Marketplace & Talent Systems Onboarding flows for elite creative talent AI-assisted interviews and evaluations Self-serve matching tools between talent and AI labs Payment, billing, and workflow automation Data & Infrastructure Products Tools for frontier AI labs to support training and evaluation Internal platforms for data quality, annotation, and performance insights Product & Engineering Leadership Shape engineering culture, processes, and best practices Ship fast across greenfield projects with high ownership Influence product direction through tight feedback cycles with founders and users What We're Looking For Strong proficiency with Python, React, and TypeScript Experience with AWS, Docker, CI/CD, and modern infrastructure tooling Ability to operate independently and handle ambiguity in a fast-moving environment Interest in gamified platforms, creative tools, or marketplace dynamics Bias for action, strong communication skills, and a builder mentality

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)

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.

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 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!

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.

We are looking for a Senior Front-End Software Engineer with strong software fundamentals to join a high-performing platform development team. This role combines hands-on development, mentorship, and growth opportunities. You will work on UI implementation and maintenance across multiple functional areas, contributing daily to improving user experiences and building deep expertise in the product. Key Responsibilities Partner 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 from conception to launch. Act as a subject matter expert while resolving complex technical challenges. Oversee the full systems development lifecycle, including architecture definition, 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. Advanced knowledge of React, Next.js, and TypeScript. Experience using and consuming REST APIs with a strong understanding of client-server interaction. Familiarity with AGILE/Scrum development methods. Expert-level problem-solving and communication skills.

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!

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.

Responsibilities Build machine learning models with time-series data for forecasting the future location of vehicles, bikes, pedestrians, including data collection, model design and training and deployment. Build interactive models to capture the interactive behavior among multiple actors. Design seamless interface to support both upstream perception team and downstream planning team. Design and build prediction module performance evaluation system, to quantify system improvements. Interact with operations team to provide guidance for in-vehicle testing for prediction. Qualifications M.Sc. in Computer Science, Electrical Engineering, Mathematics or a related field. 5+ years of experience with hands-on experience in machine learning projects. Strong C++ and/or Python programming skills required. ML Framework Options: CUDA C/ PyTorch/ONNX/TensorRT. Preferences M.Sc. or Ph.D. in computer vision, machine learning, robotics, or a related field. Extensive experience in deep learning. Industry research or production experience. Publications at top-tier conferences, e.g. CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, and PAMI.

Subtle Medical is a leading provider of AI-powered imaging solutions, optimizing scan efficiency and image quality across radiology. Recognized by TIME as a World's Top Healthcare Company (2025) and multiple times as a CB Insights GenAI 50, Digital Health 150, and Top AI 100 company, Subtle Medical is committed to transforming medical imaging through responsible and intelligent software. The company's solutions are deployed on over 1000 scanners worldwide, helping imaging centers and hospitals deliver faster scans, improve image quality, and enhance patient care without the need for new hardware. The Role The Machine Learning Software Engineer role at Subtle Medical will join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Subtle Medical is the world leader in applying deep learning to the acquisition of medical images in order to enable faster, safer, and smarter medical imaging. We are committed to transforming the healthcare ecosystem by building and delivering responsible AI solutions that create a measurable impact on the radiology workflow and patient experience. Our vision is that every human being has the opportunity for a timely diagnosis, high-quality care, and a longer, healthier life. Currently, Subtle Medical has several FDA-cleared & CE-marked AI software products that are in clinical usage in over 900 hospitals and imaging centers worldwide. Subtle has a robust multi modality product portfolio and continues to invest heavily in research and development. Our team consists of world leading radiologists, scientists and engineers from top universities like Stanford, Harvard, and MIT many with past experience at leading equipment manufacturers like GE, Philips and Siemens. Subtle Medical has been recognized multiple times by CB Insights as a global Top 100 AI Company and Top 150 Digital Health Company. We continue to grow and expand and welcome those to apply who desire to empower patients and physicians with better healthcare. Subtle Medical is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Job Responsibilities Build software systems that enable AI-powered image enhancement and analysis algorithms in the clinical workflow Write computer code to set up deep learning network architecture Support and participate in applicable Quality Management System (QMS) processes for Subtle Medical AI/ML Software as a Medical Device (SaMD) products. Feed imaging data into this model for training and evaluating the results on a separate test set Participate in applicable data protection related activities, such as audits, investigations, and training, and comply with all applicable company policies and procedures. Deploy and maintain our software systems both on the cloud and at work sites Build and maintain CI/CD tools for our softwares Complete models and simulations, using manual or automated tools, to analyze or predict system performance under different operating conditions Monitor system operation to detect potential problems Identify system data, hardware, or software components required to meet user needs Maintain logs of any code modifications Conceive and document software design and testing plans Test performance of multiple deep learning models Improve the efficiency of deep learning algorithms to allow them to be run on standard hospital scanners Collaborate with the research team in developing next generation AI-powered medical imaging products Build and maintain experiment tracking tools Build and maintain model training, validation and deployment infrastructure Publication and other dissemination of new technologies Submit patent applications on significant new advances Qualifications Programming skills in Python/C/C++ Understanding of general principles of medical imaging and/or Deep Learning pipelines on medical images Working knowledge of Quality Management System (QMS) regulations and applicable familiarity with ISO 13485, ISO 14971, IEC 62304, and IEC 62366. Education Master's degree in Computer Science or relevant field Work Experience 5 years work experience in software engineering as a full stack developer and/or ML Ops Engineer Nice to Haves 5+ years work experience in software engineering for medical imaging Industry Computer Software / SAAS Medical Imaging/Radiology Hospital & Health Care Employment Type Full-time Location This is a remote role with potential for 5% travel. Travel is usually restricted to team meetings. Candidates in the San Francisco Bay Area are given the option to work hybrid at the Menlo Park office. Job Functions Engineering Want to apply? Please email ************************* with your resume/CV and the job title in the subject line. Be sure to include all applicable information that supports your qualification and interest in this role.

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.

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

This role supports the development of scalable backend systems for customer-facing digital platforms used across global markets. The Backend Software Engineer will build and maintain core services that power end-to-end product journeys, including ordering, delivery, installation, and ownership experiences. The position requires strong backend engineering expertise, a quality-first mindset, and the ability to thrive in a fast-paced, evolving environment. Key Responsibilities: • Design, develop, and support backend applications for order processing, installation workflows, and ownership experiences • Own features and projects through design, development, testing, release, and production support • Write clean, maintainable, high-performance, and well-tested code • Develop and execute unit tests and integration tests in collaboration with quality teams • Monitor production systems, respond to alerts, and troubleshoot live issues • Analyze existing systems and recommend technical improvements to enhance performance and scalability • Communicate project updates, dependencies, risks, and blockers clearly to stakeholders • Improve system scalability, availability, maintainability, and observability • Work with modern backend technologies, containerization, and distributed systems Required Qualifications: • Strong experience designing and consuming REST application programming interfaces • Proficiency in object-oriented programming languages • Experience with microservices or service-oriented architectures • Hands-on experience with relational or non-relational databases • Solid understanding of unit testing and integration testing practices • Experience with message queue-based architectures • Working knowledge of structured query language databases such as MySQL or PostgreSQL Preferred Qualifications: • Experience with event-streaming and open-source technologies such as Kafka, Debezium, or Elasticsearch • Familiarity with containerization and orchestration tools • Exposure to cloud-native application development 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/hr to $80/hr

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!