Requirements engineer jobs in Castro Valley, CA

Founding Engineer | San Francisco (Onsite) Salary: $160,000 - $225,000 We're looking for a Founding Engineer to help take a hypergrowth startup from early pilots to full enterprise deployments, scaling tens of millions in automated orders per month. This is a hands-on role for builders who thrive on high-impact, technically challenging projects. What You'll Do Ship high-quality code and own end-to-end projects, including LLM orchestration pipelines, real-time ERP integrations, workflow automation, and user-facing tools Work onsite with customers (warehouses, offices, factories) to understand workflows and build empathy-driven solutions Design and optimize scalable ML and AI systems for production Shape technical strategy and infrastructure for a startup transforming the $9T+ global food supply chain Tech Stack Python | Pandas | NumPy | Scikit-learn | HTML/CSS | JavaScript | React.js | Next.js | WebSockets | SQL | AWS | GCP | Azure | LangChain | LlamaIndex About You 2-5 years' experience in hypergrowth startups (Seed to Series B) Experience building production-grade AI agents and workflow systems Proficiency in Python, data science libraries, and Next.js for frontend Experience with cloud infrastructure (AWS, GCP, Azure) and GPU optimization Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex) Bonus: previous founder experience or exceptional extracurricular achievements Why This Matters You'll play a defining role in transforming one of the world's largest, most overlooked industries, reducing waste, lowering costs, and making food more accessible worldwide. Interested? If you're a high-caliber builder ready to work onsite on technically demanding and strategically critical projects, get in touch to discuss this opportunity further.

W2 Contract-to-Hire Salary Range: $156,000 - $176,800 per year The MDM Engineer III is responsible for the development, integration, and implementation of configuration processes, procedures, and solutions within the Master Data Management (MDM) platform. The candidate will develop solutions on the MDM platform, participate in system/design/code reviews, address configuration and administration issues, as well as directly influence the direction of the Product domain on the MDM platform. The candidate will also collaborate with other technology partners to design and build quality, highly scalable solutions/applications, as well as interact with business teams as part of Agile development. Duties and Responsibilities: Design, develop, and test incoming and outgoing data feeds, data modeling, governance, and system administration as it pertains to MDM. Responsible for providing technical consulting to management, business analysts, and technical associates, while working with the integration, architecture, and business teams to deliver MDM solutions. Deliver high-quality solutions independently, while working collaboratively to share knowledge and ideas, and adapt quickly to the needs of the business. Partner with Data Governance & Operations teams to deliver based on program/project needs. Drive the architecture, design, and delivery of the end-state MDM solution in a hands-on manner, including modeling the MDM domains. Establish monitoring and reporting capabilities for the MDM platform. Engage with all levels across IT to deliver an Enterprise MDM Program solution (Product), including cross-functional coordination. Help lead master data integration activities, which include, but are not limited to, data cleansing, data creation, data conversion, issue resolution, and data validation. Identify, manage, and communicate issues, risks, and dependencies to project management. Configuration of the MDM solution in a hands-on manner (Web UI, business rules, and workflow changes) Provide support for the Master Data Management (MDM) platform, including technical architecture, inbound/outbound data integration (ETL, maintenance/tuning of match rules and exceptions, data model changes, executing and monitoring incremental updates, and working with infrastructure and DBA teams to maintain multiple environments). Contribute to the design of logical and physical Data modeling to support the Enterprise Master Data Management system. Establish & refine monitoring and reporting capabilities for the new MDM platform. Provide level 3 support for the MDM platform as needed. Manage Code configuration and code release management in Non-production environments. Exceptional verbal communication and technical writing skills Requirements and Qualifications: 8+ years of experience with Master Data Management solutions 5 - 8 years of experience working within the entire Software Development Lifecycle, including requirements gathering, design, implementation, integration testing, deployment, and post-production support 5 - 8+ years of experience in system design, implementation, and Level 3 support activities Strong understanding of Master Data Management concepts, including Object Oriented Design, Programming, and Data Modeling Strong experience in development configuration of Workflow, Web UI, and Business Rules Action components of MDM (STIBO STEP solution preferred) Strong experience in identifying performance bottlenecks, providing a solution, and implementing functional performance recommendations Experience in implementing deployment automation to support the data model / web-ui / JavaScript binds / configurations and product information between environments. Experience in developing enterprise applications using Java, J2EE, JavaScript, HTML, CSS, Spring Framework Working experience with at least one major MDM platform such as Oracle, Informatica, or Stibo (preferred) Working experience in data profiling, data quality designing, and configuring MDM UI, workflows, and rules for business processes, preferably in a retail domain Experience working in an Agile Environment Experience working in an infrastructure environment (ability to assist in logins, restarting servers, etc.) Experience working in Oracle as the main database or Linux operating systems Experience with data modeling and data migration Experience with security best practices of web applications to address vulnerabilities Experience with application integration and middleware Strong communication skills are required, with the ability to give and receive information, explain complex information in simple terms, and maintain a strong customer service approach to all users. Knowledge of/prior DBA experience with SQL Server and/or Oracle is a plus. Minimum knowledge/experience in UNIX Ability to work independently, creatively problem solve complex technical problems, and can provide guidance and training to others Ability to provide accurate estimates of timeframes necessary to complete potential projects and develop project implementation plans Bachelor's Degree in Computer Science or related experience Desired Skills and Experience Master Data Management (MDM), STIBO STEP, Oracle MDM, Informatica MDM, Java, J2EE, JavaScript, HTML, CSS, Spring Framework, Data Modeling, ETL, Data Integration, Data Migration, Data Profiling, Data Quality, Data Governance, Workflow Configuration, Web UI Development, Business Rules Configuration, System Design, Software Development Lifecycle (SDLC), Agile Development, SQL, Oracle Database, SQL Server, Linux, UNIX, Performance Tuning, Match Rules Configuration, Data Cleansing, Data Validation, API Integration, Middleware, Application Security, Requirements Gathering, Technical Architecture, Level 3 Support, Code Configuration Management, Release Management, Object Oriented Design, Data Conversion, Infrastructure Management, Technical Consulting, Cross-functional Collaboration, Issue Resolution, Risk Management, Technical Documentation Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate. Bayside Solutions, Inc. may collect your personal information during the position application process. Please reference Bayside Solutions, Inc.'s CCPA Privacy Policy at *************************

About the role We're looking for an Android Platform Engineer with hands-on experience with developing consumer hardware products using the Android Open Source Project (AOSP). You'll work on system-level Android development - modifying the OS, integrating hardware support, and customizing the Android framework to suit product needs. This role is ideal for engineers who have worked close to hardware subsystems such as wireless and networking components, and enjoy troubleshooting low-level platform issues. It is not a good fit for Android app developers. Job Description Build, customize, and maintain Android images using AOSP for custom embedded devices Modify and extend Android framework components, Java system services, and native services Integrate new hardware via HALs (AIDL/HIDL), and work closely with BSP and hardware teams Debug and fix system-level issues including crashes, boot loops, and hardware integration bugs Optimize system performance, stability, and boot times Contribute to OTA update mechanisms and factory image preparation Collaborate with app developers, product teams, and embedded engineers Qualifications | Required 3+ years of experience in Android platform development or embedded Linux Proficiency with AOSP internals, Android framework, Java system services and native services Solid understanding of the Android system architecture: init, Zygote, Binder, system_server and Java system services Experience writing and integrating Android HALs (AIDL/HIDL) Strong programming skills in Java, C/C++, and shell scripting Proficient with adb, logcat, dmesg, fastboot, and low-level debugging tools Experience working with AOSP build tools: lunch, make, Soong (Android.bp) Qualifications | Preferred Experience with device bring-up on custom hardware or non-standard Android devices Exposure to Qualcomm, MediaTek, or other SoC platforms Contributions to custom ROMs or open-source AOSP forks (e.g., LineageOS) Experience with OTA systems, bootloaders, and recovery images Knowledge of Android Verified Boot (AVB), encryption, and secure boot processes Familiarity with Android Wear OS or Android for IoT Location Sunnyvale, CA (other parts of the United States may be considered for exceptional candidates) Benefits Delart offers competitive compensation and employee benefits, including premium PPO and HMO health insurance coverage, life insurance, short/long-term disability insurance, a company-matched 401(k) plan, and a generous paid time off policy.

We are urgently seeking experienced RTL Engineers to join our team. The selected candidates will be responsible for developing and executing verification plans, building robust verification environments, and collaborating closely with design teams to ensure high-quality deliverables. Responsibilities Plan: Develop comprehensive Core Verification Plans based on micro-architecture and design specifications. Develop: Architect and implement reusable, scalable verification environments using SystemVerilog/UVM. Test: Create and run constrained-random and directed tests to achieve high functional and code coverage. Debug: Analyze simulation results, root-cause complex failures, and work with design teams to resolve issues. Automate: Build and maintain automation scripts (Python/Perl) to enhance verification workflows and regression management. Requirements Mandatory expertise in SystemVerilog and UVM. Minimum 7 years of hands-on verification experience. Strong understanding of digital logic design and verification methodologies. Experience verifying digital systems using standard IP components/interconnects (e.g., microprocessor cores, hierarchical memory subsystems). Ability to work independently and provide technical feedback to FE RTL design teams and CPU/IP micro-architects. Proficiency with industry-standard EDA simulation and debug tools. Strong debugging and root-cause analysis skills. Scripting experience (Python, Perl). Excellent written and verbal communication skills in English.

Mobile Engineer (React Native + iOS/Android) We're looking for Mobile Engineers to join a growing team. You'll play a key role in technical decision-making and execution, and you'll see firsthand the impact our work has in the healthcare space. You'll build and support features primarily in React Native, with some native development for both iOS (Swift) and Android (Kotlin). You'll also have opportunities to contribute improvements to open-source libraries. What You'll Do Design, build, and support easy-to-use mobile applications to help scale the business Make and implement technology decisions that support business needs without compromising security, privacy, or quality Enhance existing systems to add functionality and improve performance, stability, quality, and security Advocate for high standards, make quality-of-life improvements to the codebase, and help limit technical debt Build strong user empathy and maintain a user-centric mindset Communicate effectively within cross-functional product teams (e.g., design, product, machine learning, infrastructure) Mentor and learn from other engineers Tech Stack React Native iOS Native (Swift) Android Native (Kotlin)

Type: Contract We are hiring a Moveworks Developer/Engineer for one of our premier consulting clients. This role focuses on building and optimizing AI-powered conversational agents that automate employee support across IT, HR, and business functions. Responsibilities • Design, develop, and enhance AI-driven bots using the Moveworks platform • Configure intents, entities, and NLU models for high accuracy • Build conversational flows to automate IT/HR/Finance use cases • Integrate Moveworks with platforms like ServiceNow, Workday, SAP, and Jira • Develop backend services using Python or Node.js • Monitor bot performance and implement continuous improvements • Collaborate with IT and business stakeholders on requirements • Troubleshoot bot logic, integrations, and platform issues Qualifications • 1-3+ years of hands-on experience with Moveworks • Strong expertise in NLP/NLU configuration • Programming experience (Python/Node.js/TypeScript) • REST API development & integration experience • Exposure to ServiceNow, Workday, Jira, or SAP • Familiarity with SQL/NoSQL databases • Strong problem-solving and communication skills • Experience in Agile/Scrum environments

Please read in full: As a founding engineer, you'll work across our entire stack to build and scale our contextual advertising network for AI tools. You'll have significant influence over technical direction and full autonomy. Our immediate priority is backend engineering, but full-stack experience is a strong bonus. Compensation and what we offer: Salary Range: $150,000 - $300,000 USD, depending on experience and scope of contribution Equity: Ranging from $100,000 - $300,000 USD based on experience and contribution Location: Onsite at our spacious office in San Francisco, California. Company Background Gravity is an advertising network for AI chat Enables advertisers to embed ads in relevant conversations Ads write themselves using AI Launched 3 months ago 16M users on installed platforms $500M/year advertiser spend waiting to onboard Delivered impressions scaling 10x MoM as we connect supply with demand Responsibilities As a founding engineer, you'll be working on: Building and scaling core infrastructure Solving novel technical and product challenges with high ambiguity Driving technical direction with high ownership and autonomy What We're Looking For Solving problems with the end user in mind Full-stack development experience Strong problem-solving ability in ambiguous technical/product areas Experience building and scaling distributed systems Practical experience with LLMs and AI infrastructure Proven track record of ownership and autonomous execution Strong communication skills Why Join Us Solve cutting-edge advertising challenges with AI Shape the future of generative advertising Operate in a flat hierarchy with high ownership and autonomy Competitive compensation and equity Be part of a small, talented, fast-moving founding team in San Francisco Interview Process Initial screening with CEO 45-minute technical interview Onsite interview with CEO (video call for non-SF applicants) Please email your application to ******************** with the subject line Joining Gravity - [Your Name] Include: Your resume A short introduction about yourself Any relevant links, such as GitHub, portfolio, or past projects that show your work

UMATR are supporting an early-stage AI startup on a mission to help growing organisations stay aligned and efficient as they scale. Our product acts as an intelligent teammate that understands a company's context, goals, and culture - giving teams unprecedented visibility into what's happening across the business. They're backed by top-tier global investors and experienced operators from some of the world's leading tech companies. This is a ground-floor opportunity to build foundational systems that will power the next generation of AI-native enterprise software. What You'll Do Build and ship high-quality frontend features using React, Next.js, and TypeScript Translate designs into polished, responsive, production-ready UI Partner closely with our designer to iterate rapidly on new UX and UI concepts Take end-to-end ownership of projects in a fast-moving, early-stage environment Collaborate with founders and cross-functional teams to shape product and technical direction (Bonus) Work across the stack when needed, supporting backend teams and integrations What We're Looking For 3+ years of strong frontend engineering experience with React and TypeScript Solid understanding of modern frontend architectures, state management, and performance optimisation Ability to learn quickly, work independently, and move with urgency Experience shipping production systems with high-quality engineering standards Bonus: experience in a fullstack environment or working closely with backend engineers Bias toward ownership, rapid execution, and craftsmanship Ideal Background Experience building and scaling products at fast-moving startups (preferred), or at high-bar tech companies Comfortable with early-stage ambiguity and excited by zero-to-one challenges Strong product intuition and attention to detail A builder mentality - hands-on, resourceful, and motivated to create something enduring

Job Description: Durability CAE Engineer Senior CAE Engineer, Durability As Senior Durability CAE Engineer, you will be leading the assessment of durability attribute for various vehicle subsystems like Suspension, Body Structures, Powertrain, Battery Pack, interiors, exteriors, closures, seating etc. Along with CAE assessments, you will also be involved in testing activities such as test plan development, test to CAE correlation, testing & validation etc. You will have opportunity to drive the design changes by directly working with design teams by running trade-off studies and design optimization loops. You will work with different testing activities like Regulatory, Certification, and Compliance testing as well as different full-system, sub-system & component level testing. Your exact job level (Engineer, Sr. Engineer, etc.) will be defined by the experience and technical ability you possess and how well you demonstrate your skills during the interviews. You will be working with team members with different experience levels, and you will have opportunity to engineer groundbreaking products through amazing innovations. The Role • Perform strength, stiffness, and fatigue analysis on different vehicle subsystems (chassis, closures, body structure, powertrain etc) • Perform correlation between test and CAE • Maintain traceable documentation for all durability analysis and test work • Able to create FEM mesh from CAD or from rough sketches • Support design engineers in making sure the parts meet all the durability requirements • Able to learn and use different CAE software tools (nCode Design Life, ANSA, MetaPost, OptiStruct, Hyperworks CAE products, ADAMS etc). • Test and benchmark new analysis tools and techniques. Participate in new CAE method development, process automation and benchmarking tasks. Qualifications: • 5 + years of related experience ; Bachelor's or a higher degree in Mechanical Engineering or a related field. • Experience in vehicle level CAE analysis, testing and development • Experience with performing linear analysis, non-linear analysis, fatigue analysis, design optimization, dynamic analysis with industry standard CAE tools. • Sound fundamental knowledge of structures and mechanics of materials • Proficiency in using ANSA, HyperMesh, HyperView, MetaPost, nCode, OptiStruct or similar CAE softwares. • Strong knowledge of vehicle performance requirements, deriving load cases from requirements, setting performance targets, developing testing and validation plans.

Strativ are assembling the Founding Engineering team for a new AI startup tackling a $100bn+ per year inefficiency in the physical world. Fresh off an 8× oversubscribed Seed round - with investors including Palantir and OpenAI - the company is building advanced agentic AI to transform how $2T of industrial goods move through the global supply chain. This is not another incremental SaaS tool. You'll build AI systems and deploy agents that directly influence how Fortune 100 enterprises run their worldwide operations. You'll be working alongside a world-class early team of ex-Quants, Oxford/Waterloo grads, and engineers from elite tech firms like X. The company has multiple early products already in motion, extremely strong inbound customer demand, and a long-term vision on the scale of Palantir's early mission. If you want to work relentlessly, solve real-world problems with massive economic impact, and help build a generational AI company from day zero; this is that moment. Key skills/experience required; 3+ years' experience in Software Engineering Hands-on experience building with LLMs (OpenAI, Anthropic, HuggingFace, Azure, etc.). Strong understanding of agent frameworks (LangChain, LlamaIndex, Semantic Kernel, AutoGen, or custom-built tools) Understanding of distributed systems, microservices, and event-driven architectures MS / BS in CS or similar Please apply ASAP for more info.

Palo Alto, CA Our client is the single source of truth for headcount that aligns finance teams, talent teams, people / HR teams, and hiring leaders. Connected with your HCM, ATS, and financial planning system, Caro ensures all three systems stay in sync in real time, keeping your teams aligned and up to date on the latest and greatest. Role Overview We are looking for a Founding Engineer with 2+ years of experience to join our team in building a headcount platform for enterprise teams. This role is ideal for someone who thrives in a fast-paced startup environment, is excited to work directly with founders and early customers, and is motivated by delivering tangible impact. You will be instrumental in shaping our early product and contributing to our journey toward product-market fit. What you will do: Ship and iterate quickly while being thoughtful about trade-offs for quality. Collaborate with the founders on designing the best solution for our customers' problems. Interact directly with customers to diagnose and resolve issues in the product. Own large parts of the product independently, from technical design to shipping into production. Wear multiple hats, including engineering, product, and customer support.

Source One is a consulting services company and we're currently looking for the following individuals to work for an on-demand, autonomous ride-hailing company in Foster City, CA. ** We are unable to work with third party companies or offer visa sponsorship for this role. Title: SOC Engineer (contract) Pay Rate: $94.25/hr (W-2) Hybrid: 3 days/week on-site Description: SOC Engineers to help enhance the company's security posture by driving automation and conducting proactive threat hunting. The ideal candidates have a strong InfoSec background with deep experience in SIEM and SOAR platforms, including rule and playbook development, along with proficiency in Python scripting for automation. There are two positions: One role focused more on the SIEM side (Elastic is what they use, but Splunk ok), and the other role focused more on automation for detection. As an SOC Engineer, you'll: - Develop and fine-tune detection and correlation rules, dashboards, and reports within the SIEM to accurately detect anomalous activities. - Create, manage, and optimize SOAR playbooks to automate incident response processes and streamline security operations. - Utilize Python scripting to develop custom integrations and automate repetitive tasks within the SOC. - Build and maintain automation workflows to enhance the efficiency of threat detection, alert triage, and incident response. - Integrate various security tools and threat intelligence feeds with our SIEM and SOAR platforms using APIs and custom scripts. - Conduct proactive threat hunting to identify potential security gaps and indicators of compromise. - Analyze security alerts and data from various sources to identify and respond to potential security incidents. - Collaborate with Information Security team members and other teams to enhance the overall security of the organization. - Create and maintain clear and comprehensive documentation for detection rules, automation workflows, and incident response procedures. Key Responsibilities: - SIEM and SOAR Platform Management: Maintain our SIEM and SOAR platforms to ensure optimal performance and effectiveness in detecting and responding to security threats. Develop and fine-tune detection and correlation rules, dashboards, and reports within the SIEM to accurately detect anomalous activities. Create, manage, and optimize SOAR playbooks to automate incident response processes and streamline security operations. - Automation and Scripting: Utilize Python scripting to develop custom integrations and automate repetitive tasks within the SOC. Build and maintain automation workflows to enhance the efficiency of threat detection, alert triage, and incident response. Integrate various security tools and threat intelligence feeds with our SIEM and SOAR platforms using APIs and custom scripts. - Incident Response and Threat Hunting: Conduct proactive threat hunting to identify potential security gaps and indicators of compromise. Analyze security alerts and data from various sources to identify and respond to potential security incidents. - Collaboration and Documentation: Collaborate with Information Security team members and other teams to enhance the overall security of the organization. Create and maintain clear and comprehensive documentation for detection rules, automation workflows, and incident response procedures. Top Skills: - SIEM: InfoSec background Incident response/threat hunting Rule creation (some query language experience needed) - SOAR/Automation: Python automation, big data, systems Cortex XSOAR is pretty established - maintaining existing playbooks, logic changes, bug fixes Required: - 6+ years of experience in a Security Operations Center (SOC) environment or a similar cybersecurity role - Hands-on experience with managing and configuring SIEM platforms (e.g., Elastic SIEM, Splunk, QRadar, Microsoft Sentinel) - Demonstrable experience with SOAR platforms (e.g., Palo Alto Cortex XSOAR, Splunk SOAR) and playbook development - Proficiency in Python for scripting and automation of security tasks - Strong understanding of incident response methodologies, threat intelligence, and cybersecurity frameworks (e.g., MITRE ATT&CK, NIST) - Excellent analytical and problem-solving skills with the ability to work effectively in a fast-paced environment Preferred: - Relevant industry certifications such as CISSP, GCIH, or similar - Experience with cloud security and environmental constructs (AWS, Azure, GCP) - Familiarity with other scripting languages (e.g., PowerShell, Bash) - Knowledge of network and endpoint security solutions

A fast‑growing market data start‑up is seeking their first Cloud Engineer to build and scale the backbone of their cloud infrastructure. This is a unique opportunity to shape the future of the platform from the ground up, working closely with engineering and product teams to deliver high‑performance, reliable systems for real‑time market data. What You'll Do: Lead the design, development, and deployment of cloud platforms on AWS Own the full life cycle of cloud engineering: architecture, implementation, monitoring, optimization, and scaling Establish best practices for cloud security, automation, and cost management Build tooling and frameworks to support data capture, processing, and distribution pipelines Collaborate with developers to integrate cloud infrastructure with applications and analytics systems Serve as the subject matter expert (SME) for all cloud engineering initiatives Document processes and mentor future hires as the team grows What You'll need: Deep expertise in AWS services (EC2, EKS, S3, IAM, etc.) and cloud architecture Proven experience in end‑to‑end development of cloud platforms Strong programming skills, ideally in Python, with ability to contribute to application code as well as infrastructure tooling Familiarity with containerization and orchestration (Docker, Kubernetes) Experience with infrastructure‑as‑code tools (Terraform, CDK) and CI/CD pipelines Solid understanding of monitoring, logging, and alerting systems Strong problem‑solving skills and ability to thrive in a start‑up environment where you'll wear multiple hats Why Join Us Be the foundational cloud hire with ownership over critical infrastructure decisions Work on cutting‑edge market data systems where performance and reliability are paramount Collaborate with a small, global, agile team with direct impact on product and client success This is a hybrid role based in Oakland, CA requiring 3 days a week onsite.

Title- AI/ML ( Platform Engineering) Duration- 12+ months, contract to hire Top Skills- AI/Ml, cloud, Kubernates We are seeking a talented AI/ML Platform Engineer with a strong emphasis on Cloud to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining AI/ML infrastructure and solutions that leverage the full power of cloud. Your expertise will be crucial in enabling our data scientists and machine-learning engineers to develop, deploy, and scale AI models efficiently and effectively. Key Responsibilities: Build robust AI/ML platforms on cloud, ensuring scalability, reliability, and performance. Develop automated workflows and pipelines for model training, validation, deployment, and monitoring. Work closely with data scientists, ML engineers, and other stakeholders to understand their needs and provide optimal solutions. Continuously optimize the AI/ML infrastructure for cost, performance, and security. Implement monitoring solutions to ensure the health and performance of AI/ML systems, and troubleshoot any issues that arise. Maintain comprehensive documentation of the architecture, workflows, and best practices. Preferred Qualifications: Proven experience as an AI/ML engineer with a focus on platform engineering and Azure Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Experience in Terraform and Helm will be an advantage. Strong understanding of LLMs and proven experience building platforms and applications that leverage them. Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes). Strong understanding of data storage, processing, and ETL workflows. Knowledge in chunking strategies for vector database Knowledge on classification & Embedding models. Familiarity with Agile methodologies and project management tools. EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment based on - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

80Twenty is a boutique marketing recruitment agency that connects high-growth companies with exceptional candidates. Want to build technology that truly moves the needle in healthcare? Join a fast-scaling, profitable healthcare services company - independently grown and not VC-backed - on a mission to make healthcare simpler, smarter, and more human! Our client is a healthcare tech and services company based in San Francisco, combining clinical expertise, operational excellence, and modern engineering to reshape how people experience care. From personalized medication management and transparent pharmacy pricing to community-based chronic care support, we're building a system that empowers both patients and providers. This is a fully onsite role based in San Francisco, CA. Candidates must be located within 30 miles of San Francisco. The standard schedule is Monday-Friday, 9am-7pm and may vary depending on business needs and role responsibilities. In this role, you will: Design, build, and scale backend services that power pharmacy, telehealth, and patient-facing workflows. Collaborate cross-functionally with product, operations, and pharmacy teams to deliver seamless integrations and reliable systems. Lead architectural design discussions and set long-term technical direction for the backend stack. Implement best practices for system reliability, observability, security, and scalability. Drive operational excellence through CI/CD pipelines, cloud infrastructure (AWS), and container orchestration (Kubernetes). Mentor fellow engineers and help shape our backend engineering culture. Optimize system performance and streamline complex data flows across distributed services. Influence and define standards for how we build, test, and deploy software across the company. Who You Are 7+ years of backend engineering experience, ideally in fast-moving production environments. Strong experience with Node.js (TypeScript / JavaScript) and modern backend frameworks. Deep familiarity with AWS, Kubernetes, CI/CD, and distributed system design. Adept at owning code from design through deployment - you care about maintainability, reliability, and long-term scalability. Excellent communicator who enjoys collaborating across disciplines. Motivated by solving complex real-world problems in healthcare and improving patient outcomes. Bonus points for experience in healthcare, pharmacy systems, inventory/fulfillment flows, or regulated environments. Why This Role Stands Out You'll own high-impact systems that directly affect patient and provider experiences. You'll shape backend architecture and engineering best practices in a growing company. You'll join a profitable, non-VC-backed organization focused on long-term sustainability. You'll work in-person with an ambitious, mission-driven team in downtown San Francisco. Competitive compensation, equity opportunities, and strong benefits designed to help you thrive. This is a great opportunity to be a key member of the engineering team, taking technical ownership of our pharmacy platform's core backend systems. Your work will directly power real-time healthcare operations and improve access to care. If you're excited to apply your engineering expertise to meaningful healthcare infrastructure - and want to join a company that values autonomy, sustainability, and impact - we want to hear from you! Base salary: $250k-300k DOE + generous equity and benefits

Staff AI Engineer | Sunnyvale, CA | $225K-$300K + Equity We're partnering with a leading company in the software defined vehicle space to hire a Staff AI Engineer. Their technology is already running in more than five million vehicles on the road today and they are now building the next layer of AI that will power future automotive platforms. In this role you will work on advanced language models, retrieval systems and agent style architectures that support real world, safety critical use cases. You will own the full lifecycle of AI systems from early research through to stable, production grade services. What you'll do: Train and fine tune LLMs for reasoning and decision making Build retrieval pipelines and RAG systems for real time semantic search Design and scale ML systems that run in fault tolerant, privacy compliant environments Develop evaluation frameworks to measure reliability, correctness and performance Work closely with engineering and product teams to shape AI solutions that match real world needs What we're looking for: 5+ years of experience as an AI or ML engineer Hands on experience with LLMs, agent frameworks and RAG architectures Strong Python and experience with PyTorch or TensorFlow Background in building and deploying production ML systems Comfort working in a collaborative on site environment three days per week in Sunnyvale If this sounds like something you would like to explore, apply today and we'll be in touch

We are actively searching for a Data Infrastructure Engineer to join our team on a permanent basis. In this founding engineer role you will focus on building next-generation data infrastructure for our AI platform. If you have a passion for distributed systems, unified storage, orchestration, and retrieval for AI workloads we would love to speak with you. Your Rhythm: Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient Tackle complex challenges in distributed systems, databases, and AI infrastructure Collaborate with technical leadership to define and refine the product roadmap Write high-quality, well-tested, and maintainable code Contribute to the open-source community and engage with developers in the space Your Vibe: 5+ years experience designing building distributed database systems Expertise in building and operating scalable, reliable and secure database infrastructure systems Strong knowledge around distributed compute, data orchestration, distributed storage, streaming infrastructure Strong knowledge of SQL and NoSQL databases, such as MySQL, Postgres, and MongoDB. Programming skills in Python Passion for building developer tools and scalable infrastructure 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!

UMATR are supporting an early-stage AI startup on a mission to help growing organisations stay aligned and efficient as they scale. Our product acts as an intelligent teammate that understands a company's context, goals, and culture - giving teams unprecedented visibility into what's happening across the business. They're backed by top-tier global investors and experienced operators from some of the world's leading tech companies. This is a ground-floor opportunity to build foundational systems that will power the next generation of AI-native enterprise software. What You'll Do Build and ship high-quality frontend features using React, Next.js, and TypeScript Translate designs into polished, responsive, production-ready UI Partner closely with our designer to iterate rapidly on new UX and UI concepts Take end-to-end ownership of projects in a fast-moving, early-stage environment Collaborate with founders and cross-functional teams to shape product and technical direction (Bonus) Work across the stack when needed, supporting backend teams and integrations What We're Looking For 3+ years of strong frontend engineering experience with React and TypeScript Solid understanding of modern frontend architectures, state management, and performance optimisation Ability to learn quickly, work independently, and move with urgency Experience shipping production systems with high-quality engineering standards Bonus: experience in a fullstack environment or working closely with backend engineers Bias toward ownership, rapid execution, and craftsmanship Ideal Background Experience building and scaling products at fast-moving startups (preferred), or at high-bar tech companies Comfortable with early-stage ambiguity and excited by zero-to-one challenges Strong product intuition and attention to detail A builder mentality - hands-on, resourceful, and motivated to create something enduring

Please read in full: As a founding engineer, you'll work across our entire stack to build and scale our contextual advertising network for AI tools. You'll have significant influence over technical direction and full autonomy. Our immediate priority is backend engineering, but full-stack experience is a strong bonus. Compensation and what we offer: Salary Range: $150,000 - $300,000 USD, depending on experience and scope of contribution Equity: Ranging from $100,000 - $300,000 USD based on experience and contribution Location: Onsite at our spacious office in San Francisco, California. Company Background Gravity is an advertising network for AI chat Enables advertisers to embed ads in relevant conversations Ads write themselves using AI Launched 3 months ago 16M users on installed platforms $500M/year advertiser spend waiting to onboard Delivered impressions scaling 10x MoM as we connect supply with demand Responsibilities As a founding engineer, you'll be working on: Building and scaling core infrastructure Solving novel technical and product challenges with high ambiguity Driving technical direction with high ownership and autonomy What We're Looking For Solving problems with the end user in mind Full-stack development experience Strong problem-solving ability in ambiguous technical/product areas Experience building and scaling distributed systems Practical experience with LLMs and AI infrastructure Proven track record of ownership and autonomous execution Strong communication skills Why Join Us Solve cutting-edge advertising challenges with AI Shape the future of generative advertising Operate in a flat hierarchy with high ownership and autonomy Competitive compensation and equity Be part of a small, talented, fast-moving founding team in San Francisco Interview Process Initial screening with CEO 45-minute technical interview Onsite interview with CEO (video call for non-SF applicants) Please email your application to ******************** with the subject line Joining Gravity - [Your Name] Include: Your resume A short introduction about yourself Any relevant links, such as GitHub, portfolio, or past projects that show your work