Associate software engineer jobs in San Carlos, CA

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.

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

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

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.

Software Engineer - San Francisco, CA A company building frontier-scale AI models that automate software engineering and AI research, combining ultra-long context, domain-specific RL, and massive compute infrastructure are looking for a Software Engineer to join their team. What Will I Be Doing: Build a command line tool that lets users pair with our AI to write code, execute commands, and query codebases Develop web applications for cloud-based development environments and account management Partner with research teams to transform cutting-edge work into public-facing products Scale and iterate our product offerings globally What we're looking for: 5+ years of product engineering experience AI-first mindset. Experience with or strong interest in AI-powered applications Proven track record collaborating with design teams Ability to turn complex engineering and research into seamless, usable products Quick learner with grit What's in it for me: Salary of $225K-$550K dependent on experience + significant equity Great benefits inc. 401(k) with 6% company match, comprehensive health, unlimited PTO Visa sponsorship and SF relocation stipend available Well-funded ($465M+) with backing from top investors Apply now for immediate consideration!

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

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.

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.

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

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

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

Job title: Fullstack Engineer Job type: Full-Time Salary: $200,000+ The company: A fast-growing startup at the crossroads of AI and healthcare, this team is building voice-first, safety-driven platforms that make expert-level medical guidance accessible to everyone. Their mission centers on responsible innovation, developing AI products that are not only powerful but trustworthy and compliant with healthcare standards. The company brings together engineers, clinicians, and AI researchers from world-class organizations to create secure, human-centered systems that redefine how patients and providers interact with technology. Role and responsibilities: Build and scale B2B SaaS products and internal tools using TypeScript/React (frontend) and Python/Flask (backend). Design and maintain RESTful APIs, microservices, and data pipelines supporting intelligent healthcare applications. Collaborate cross-functionally with AI researchers, product managers, designers, and clinicians to deliver safe, performant user experiences. Contribute to mobile functionality using React Native or Flutter (nice-to-have). Review code, promote engineering best practices, and uphold product quality. Participate in agile ceremonies (sprints, stand-ups, retrospectives) and proactively address technical challenges in a fast-paced environment. Job requirements: 5+ years of experience as a fullstack or software engineer. Expert in TypeScript and React for the frontend. Professional experience with Python and Flask for the backend (Ruby or Node acceptable, but Python preferred). Strong knowledge of SQL/PostgreSQL, database schema design, and query optimization. Familiarity with cloud environments (AWS, GCP, or Azure); Terraform experience is a plus. Experience developing RESTful APIs and integrating third-party services. Solid understanding of SaaS architecture, CI/CD workflows, and version control (Git). Strong problem-solving, debugging, and collaboration skills. Comfortable working in a high-ownership, high-impact environment within a Series B startup. Excellent communication skills and ability to work closely with cross-functional teams. Must be onsite full-time in Palo Alto, CA. Nice-to-have: Experience with React Native or Flutter mobile development. Background in healthcare technology, AI integration, or voice/chat interfaces. Familiarity with Flask servers in production and infrastructure automation (Terraform + AWS). Prior experience in top engineering companies or universities.

Confero has partnered with a Series A cybersecurity startup building AI products for streamlining enterprise security/compliance. This is an opportunity to shape a company from the ground up - build fast, work with autonomy, and help define the future of AI-driven security. The Role: Multiple Senior/Staff Engineers to build core the core products and contribute to technical architecture. This is a hands-on, 0-1 opportunity for builders who want real ownership, fast pace and meaningful impact. What You'll Do: Build and deliver core product features end-to-end Architect and develop scalable backend systems (Python-focused) Integrate AI tools into development workflows Collaborate with product and design teams to ship rapidly What We're Looking For: 2-7 years building software products, 0-1 Deep expertise in Python Ownership mindset with bias toward action Background from high-growth startups or companies known for engineering excellence Please apply for a full brief on the company and role.

Founding Software Engineer (AI Systems) Compensation: Competitive salary plus meaningful equity Rec Gen is working with a Tier-1, VC-backed Silicon Valley startup hiring one of their first Founding Engineers to own core production systems from day one. This is a true 0→1 build where you will work directly with the founders on foundational AI and backend infrastructure. This role is for engineers who want real system ownership, not feature tickets. What You Will Own Design and ship production backend services and APIs from prototype to scale Build and productionise LLM-driven systems including RAG, retrieval, evaluation loops, and memory Own reliability in production including monitoring, debugging, and incident response Make architecture decisions around data stores, schema evolution, and security Tune latency, cost, and model performance in real-world workloads Collaborate closely with product and design to ship user-facing systems end to end What They Are Looking For Experience shipping production backend or platform systems Comfort working directly with LLMs, embeddings, and retrieval pipelines Strong systems thinking around performance, reliability, and scalability Experience with modern cloud infrastructure and deployment Previous startup or early-stage experience strongly preferred Nice to Have Vector databases such as PGVector, FAISS, Milvus GPU inference, model optimisation, or retrieval tuning TypeScript or frontend system experience Open-source contributions or prior founding-team exposure Working Model The engineering team works from Palo Alto daily for a few core collaboration hours with flexibility outside of that window. This is not a remote role. Why This Role Is Different You will own real production systems You will have direct influence on technical direction You will build alongside founders who have successfully scaled companies before You will take a product from zero to real users and real scale To Apply Please apply directly via LinkedIn with your resume. Shortlisted candidates will receive the full technical brief.

Who are we? Whatfix is an AI platform advancing the “userization” of enterprise applications, empowering companies to maximize the ROI of their digital investments. Technology needs adoption. It's no different for AI. As AI reshapes roles, workflows, and human-machine interactions, it also introduces new layers of complexity and user friction. This is where Whatfix plays a pivotal role. A decade old DNA of empowering people to succeed with technology and not replacing them. We call this philosophy Userization: the belief that technology must adapt to the user, not the other way around. At the heart of userization philosophy is ScreenSense, our proprietary AI engine, which continuously interprets both the context of what users are doing in an application or an AI tool and the intent behind their actions. By combining these signals, Whatfix delivers real-time guidance, nudges, knowledge, and automation directly in the flow of work. This intelligence powers our entire product suite. Digital Adoption helps users get productive faster. Product Analytics uncovers friction and closes adoption gaps. Mirror allows employees to train in safe, simulated environments. These are ur embedded with Whatfix AI Agents which supercharge creation, insights, and user guidance. Our upcoming AI-first products are already creating a buzz in the market. Seek is an AI-native assistant that not only knows your business context but can also act across applications to get work done on your behalf. Whatfix Mirror 2.0 is the world's only System plus Role simulation with a complete assessment to lead the Gen AI simulation category. Together, these products reflect Whatfix's commitment to building enterprise-ready AI teammates that maximize productivity and ROI. It gives users a unified, intelligent way to find answers across systems, apps, and knowledge silos and helps anyone looking to deliver fast and contextual answers. Whatfix is bridging the gap between rapid technological change and human enablement-ensuring AI is not only embedded but also usable, trusted, and outcome-driven for every employee. At Whatfix, we're not just making software easier-we're making AI work for people. The company has seven offices across the US, India, UK, Germany, Singapore, and Australia and a presence across 40+ countries. Customers: 700+ enterprise customers, including 80+ Fortune 500 companies such as Shell, Schneider Electric, and UPS Supply Chain Solutions. Investors: A total of ~$270 million USD has been raised as yet. Most recently Series E round of $125 Million USD led by Warburg Pincus, with participation from existing investor SoftBank Vision Fund 2. Other investors include Cisco Investments, Eight Roads Ventures (A division of Fidelity Investments), Dragoneer, Peak XV Partners, and Stellaris Venture Partners. Whatfix's leadership is consistently recognized across top industry analysts and business rankings: Won the 2025 AI Breakthrough Award for the Overall AI-based Analytics Solution of the Year Only DAP to be recognized as a “Leader” across various DAP reports for the past 5+ years by leading analyst firms like Gartner, Forrester, IDC, and Everest Group. With over 45% YoY sustainable annual recurring revenue (ARR) growth, Whatfix is among the “Top 50 Indian Software Companies” as per G2 Best Software Awards. Named a Gartner Customers' Choice for DAP for the second year in a row (2024 and 2025)-the only vendor in the market to earn this distinction consecutively. We also boast a star rating of 4.6 on G2 Crowd, 4.5 on Gartner Peer Insights, and a super-high CSAT of 99.8% Stevie Award winner in the category (Bronze): Customer Service Department of the Year - Computer Software - 100 or More Employees. Winner of the ISG Paragon Innovation Award in partnership with Sophos (customer) for the EMEA region and finalist in the Transformation Award category. RemoteTech Breakthrough Awards winner for “Software Asset Management Solution of the Year” These recognitions are matched by business performance: Highest-Ranking DAP on 2023 Deloitte Technology Fast 500™ North America for Fifth Consecutive Year Listed on the Financial Times & Statista's High-Growth Companies Asia-Pacific 2025 list. Won the Silver for Stevie's Employer of the Year 2023 - Computer Software category and also recognized as Great Place to Work 2022-2023 Only DAP to be among the top 35% companies worldwide in sustainability excellence with EcoVadis Bronze Medal Title: Senior Software Engineer - Reliability & Kubernetes (E5) Location: San Jose, CA (Onsite), About the Role: We are looking for an experienced Software Engineer (E5) who is passionate about building systems that are resilient, observable, and designed for scale from day one. This role sits within our Reliability Engineering charter and focuses on strengthening the core platform that powers all Whatfix products - including our next-generation AI offerings. You will design and implement reliability frameworks, evolve our Kubernetes-based infrastructure, and create automation that allows engineering teams to operate their services with confidence. This is a senior individual contributor role where you will directly influence system architecture, lead reliability initiatives across teams, and mature the technical foundations required to support our enterprise and federal customers. Candidates must be authorized to work in the United States on a full-time basis without employer sponsorship, either now or in the future. What You'll Own Architect and deliver platform components that improve reliability, fault tolerance, and system performance Build reusable tooling and automation to reduce manual operations and scale reliability practices across engineering Lead the design and rollout of observability and monitoring frameworks that give teams deep visibility into their services Serve as a technical escalation point for critical incidents and drive long-term remediation through blameless RCAs Strengthen our Kubernetes platform with better automation, deployment workflows, and resource efficiency Partner with engineering, platform, and product teams to define SLIs/SLOs and embed them into how we operate services Support on-prem and regulated environment deployments by ensuring high availability and compliance requirements are met What You'll Bring Strong hands-on programming experience in Java (plus Python or Go is a bonus) Expertise running and scaling Kubernetes workloads in production environments Experience with GitOps practices and tooling (ArgoCD, Helm) Strong grounding in CI/CD, infrastructure as code, and automated deployment pipelines Background in observability (metrics, logs, traces) and designing systems that are measurable and diagnosable Proven experience driving post-incident reviews and converting findings into permanent engineering improvements Ability to break down complex distributed systems problems into practical, high-impact solutions Nice-to-Have Experience Log aggregation tools or stacks (e.g., ELK) Chaos engineering or resilience testing approaches Building internal developer platforms or reliability frameworks Exposure to large-scale or regulated enterprise environments Who Thrives in This Role Engineers who enjoy working across systems, infrastructure, and platform layers ICs who like solving ambiguous problems and setting high technical standards People who think in automation, self-healing patterns, and long-term system health Engineers who want their work to directly influence the reliability posture of company-wide products Soft Skills That Matter Strong ownership and problem-solving mindset Ability to collaborate across multiple engineering groups Clear communication, especially during high-pressure incident scenarios Mentoring and uplifting other engineers through reviews, patterns, and best practices Perks / Benefits Uncapped incentives Equity plan Mac shop, work with the newest technologies Unlimited PTO policy Paid maternity/paternity leave Monthly cell phone stipend Paid UberEats lunches-daily Medical, Dental, and Vision coverage (Whatfix pays 80% of the premium for individuals and their families; for the HSA, Whatfix contributes $1,000 for individuals and $2,000 for a family) Team and company outings Learning and Development benefits At Whatfix, we value collaboration, innovation, and human connection. We believe that working together in the office five days a week fosters open communication, strengthens our community, and drives innovation, helping us achieve our goals more effectively. To facilitate global collaboration, our US teams start and end early, while our India teams start and end late. US teams do not have any evening meetings. Relocation and Sponsorship offered. We strive to live and breathe our Cultural Principles and encourage employees to demonstrate some of these core values - Customer First; Empathy; Transparency; Fail Fast and scale Fast; No Hierarchies for Communication; Deep Dive and innovate; Trust is the foundation; and Do it as you own it. Whatfix is an Equal Opportunity Employer and an E-Verify participant. All activities must comply with our Equal Opportunity Laws, ADA, and other regulations, as appropriate. We are an equal opportunity employer and value diverse people because of and not in spite of the differences. We do not discriminate on the basis of race, religion, color, national origin, ethnicity, gender, sexual orientation, age, marital status, veteran status, or disability status. Compensation will be determined by factors such as level, job-related knowledge, skills, and experience. Due to our company's global nature and our hiring committee's span of different time zones, the interviews for this role will be recorded for those not in attendance to review.

Virtual Hardware Modeling: The compute performance and power efficiency requirements of custom AR/VR devices require custom silicon. Our client team is driving the state of the art forward with breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. We are seeking a modeling Engineer to develop high-level models of complex SoC hardware. This combines models of custom hardware accelerators for vision, 2D and 3D graphics, machine learning and more, within a multi-core, multi-level memory hierarchy SoC architecture, and serve as the primary simulation vehicle for system software and firmware. The ideal candidate will be proficient in hardware simulation using C++, and understand the firmware development processes. Responsibilities Design and develop SystemC TLM models to accurately represent the SoC architecture integrating emulated processors, DSPs, Network-on-Chip, DMA and memory controllers, etc… Integrate first-party and vendor models into the Virtual Platform, develop automated workflows to ensure register-level accuracy and complete connectivity at the SoC level, minimizing manual intervention and enabling continuous integration. Collaborate with silicon architects, digital designers and verification engineers to design and develop high-fidelity, fast C++ models for first-party IP. Coordinate virtual platforms with hardware development programs, validating multiple SoCs and architectural changes with system software and firmware engineering, enabling end-to-end silicon validation test frameworks. Enhance the virtual platforms to enable SoC and system architecture exploration by instrumenting models for power and performance metrics, allowing for data-driven design decisions and trade-off analysis to optimize system performance and power consumption. Minimum qualifications B.S. degree in Computer Science or Electrical Engineering or equivalent experience. 7-10+ years of experience with 5+ years experience in hardware model simulation, virtual platform, performance modeling of complex SoCs or high-fidelity hardware accelerators. High proficiency in modern C++ in the domains of chip-design, electronic design automation or simulation. Experience with the SystemC/TLM library Experience with virtual platform development tools and frameworks, such as Synopsys Virtualizer, Cadence Virtual Platform, Imperas OVP, or ARM Fast Models Familiarity with processor/DSP architectures, such as ARM, RISC-V, and XTensa Familiarity with NoC, MMU, address translations, and cache modeling Familiarity with the standard C++ concurrency support library: threads, atomic operations, memory ordering, etc… Proficiency in Python to automate design flows, creation of collateral data Key Responsibilities: Design and develop SystemC TLM models to accurately represent the SoC architecture integrating emulated processors, DSPs, Network-on-Chip, DMA and memory controllers, etc… Integrate first-party and vendor models into the Virtual Platform, develop automated workflows to ensure register-level accuracy and complete connectivity at the SoC level, minimizing manual intervention and enabling continuous integration. Collaborate with silicon architects, digital designers and verification engineers to design and develop high-fidelity, fast C++ models for first-party IP. What are the Mandatory skills and skill proficiencies required for this position? High proficiency in modern C++ in the domains of chip-design, electronic design automation or simulation. Experience with the SystemC/TLM library Experience with virtual platform development tools and frameworks, such as Synopsys Virtualizer, Cadence Virtual Platform, Imperas OVP, or ARM Fast Models Familiarity with processor/DSP architectures, such as ARM, RISC-V, and XTensa Familiarity with NoC, MMU, address translations, and cache modeling Familiarity with the standard C++ concurrency support library: threads, atomic operations, memory ordering, etc… Proficiency in Python to automate design flows, creation of collateral data Shubham Hayaran Senior Technical Recruiter Net2Source Inc.

Hi, Want to Connect regarding a urgent position please review below description and let me know if you are interested. Job Title: Senior Cloud Software Engineer (Threat Prevention & AppID) Duration: 7+ Months Xoriant reasonably expects the pay rate for this position to be within the following range: $50/hr-52/hr. Job Description: Duties: Your Career We're seeking innovators - engineers who seek to design new products, designing state-of-the-art products that do not exist today. These engineers love to code with a drive to build global products and bring new ideas to develop security disciplines to solve real-world problems. We are looking for talent engineers who take ownership of their areas of focus and who are driven to pursue problems at every level. Collaboration is at the heart of our culture and we need engineers who can communicate at a high level and work well with multi-functional teams towards achieving a common goal. Your Impact: Participate in the design and implementation of threat prevention & AppID cloud services for public cloud and private cloud features Participate in all phases of the product development cycle, from definition, design, through implementation and test Provide real-time security services to customers Work with PLM on new feature requirement Work with QA and DevOps on new release deployment Work with support to handle customer issues Work with security researchers and data scientist on a new feature request Additional Information: The Team We are the Threat Prevention & AppID Infrastructure team. Our engineering team is at the core of our products deliver the best of security services on the cloud to prevent cyberattacks. We are constantly innovating challenging the way we, and the industry, think about cybersecurity. Our engineers don't shy away from building products to solve problems no one has pursued before. We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. Skills: Qualifications Your Experience: BS/MS in Computer Science or Computer Engineering Solid programming skills in GoLang, Python or Java Solid knowledge and skills on Linux Solid skills with Kubernetes and Docker Rich Google Cloud Platform experience is a plus Solid knowledge of web servers/proxies such as NGINX, envoy 3 years of working experience on data infrastructure platforms Strong micro-service development experience Rich Experience with SQL and No-SQL DB technologies such as MySQL, Redis Hands-on experience with the queuing system such as RabbitMQ, Kafka, experience with Pub/Sub is a plus Solid skills in multi-threads and multi-processes programming and experience in a distributed system are preferred DevOps experience a plus Teamwork, problem-solving and a can-do attitude Education: Bachelor s Degree in Computer Science or related field (or equivalent) Regards, Akangsha Mohite Team Lead W: ************** E: *************************** Xoriant is an equal opportunity employer. No person shall be excluded from consideration for employment because of race, ethnicity, religion, caste, gender, gender identity, sexual orientation, marital status, national origin, age, disability or veteran status.