Network administrator jobs in Tulare, CA - 3,441 jobs

A leading technology company is looking for a Machine Learning Infrastructure Engineer in Sunnyvale, California. You will develop data ecosystems and infrastructure for ML projects, partnering closely with engineers and scientists. Candidates should have a Bachelor's in Computer Science and experience with cloud providers, as well as strong programming skills in Python. This is an opportunity to be a part of innovative projects that influence the next generation of technology. #J-18808-Ljbffr

A leading financial institution seeks a Market Executive in San Francisco to manage relationships within the Software Technology sector and lead banking teams. The candidate will focus on innovative startups and require 15+ years of experience in account management within a Commercial Bank. This role also demands strong communication and problem-solving skills. A competitive salary and benefits are offered for this full-time position, with an emphasis on industry trends and client acquisition. #J-18808-Ljbffr

We are seeing an IT Support Administrator (Level 2) to join our client. As an IT Support Administrator (Level 2), you will provide level 1, level 2 and admin support to internal business users in a Microsoft environment. This position expects to pay about $26-38 per hour plus benefits What You Will Do: Provides On-Site (local division office) and Remote support (entire company). Provides troubleshooting, and end-user assistance via phone, chat, or email. Provides in-depth enterprise desktop / hardware support ensuring computing environment is running at optimal speed and efficiency. Resolves complex problems and answers questions related to the computing environment. Contacts vendors and carrier support when necessary to resolve problems and/or outages. Performs complex diagnostic tests, notes symptoms, gathers relevant problem/malfunction facts and data from users. Documents incidents and problems in the service desk and escalate issues to the appropriate teams when required. Serves as the technical liaison to the user community, able to resolve technical issues within the desktop computing environment. Prepares customers to use hardware and software by conducting training where necessary. Documents new and existing procedures and processes within technician knowledgebase. What You Bring to The Table: 3-5+ years of experience working in a Level 2 support position. Microsoft experience is required supporting accounts, devices, SharePoint, Teams, Exchange, Active Directory, Entra ID, Azure, etc. Must have experience with Intune. Demonstrated experience working and solving issues at all levels of end users, and peers in complex environments. Strong understanding of Hardware Life Cycle Management, Change Management, Incident Management, Helpdesk Ticketing, and its impacts on ensuring business continuity. Strong understanding of troubleshooting techniques and experience with remote troubleshooting tools. Ability to monitor the desktop environment using hardware and software tools. Ability to establish and maintain a high level of user trust and confidence and the ability to manage client expectations. Strong writing and speaking skills to explain technical solutions to both technical and non-technical individuals. Strong interpersonal skills at all levels and ability apply skills and techniques to solve dynamic problems, excellent teamwork skills. Experience with DNS and DHCP is a plus. Experience with GPOs and Patch Management tools is a plus. Information Technology Certifications are preferred. Bachelor's degree in computer science or relevant field preferred. Irvine Technology Corporation (ITC) connects top talent with exceptional opportunities in IT, Security, Engineering, and Design. From startups to Fortune 500s, we partner with leading companies nationwide. Our AI recruiter, Avery helps streamline the first step of your journey-so we can focus on what matters most: helping you grow. Join us. Let us ELEVATE your career! Irvine Technology Corporation provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Irvine Technology Corporation complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.

We are seeking a hands-on Linux & Windows Systems Engineer to support day-to-day infrastructure operations with a strong focus on vulnerability management, patching, and collaboration across IT and security teams. This role is execution-focused and best suited for an individual contributor who enjoys working in structured environments, following security processes, and resolving vulnerabilities identified by security teams. Key Responsibilities Infrastructure Operations (Linux & Windows) Administer and support Linux (RHEL / Ubuntu / CentOS) and Windows Server (2016-2022) environments. Perform OS-level troubleshooting, system health checks, and performance tuning. Support virtualized and cloud-based environments (VMware / Azure / AWS - as applicable). Vulnerability Management & Security Operations Execute vulnerability remediation activities based on reports from security tools and SOC teams. Perform OS patching, updates, and security hardening across Linux and Windows systems. Work on vulnerability tickets, remediation tracking, and closure within defined SLAs. Collaborate with Security teams on: CVE analysis Patch deployment Risk mitigation activities Ensure systems comply with organizational security policies and standards. Collaboration & Delivery Work closely with Infrastructure, Security (SecOps), Application, and Cloud teams. Participate in change management, incident response, and operational reviews. Follow documented processes and contribute to continuous improvement. Maintain clear communication with stakeholders during remediation activities. Documentation & Process Update and maintain: System documentation Patch and vulnerability remediation records Operational runbooks and SOPs Assist in audits and security reviews as needed. Required Skills & Experience Must-Have 5-10 years of hands-on experience as a Systems / Infrastructure Engineer Strong experience with: Linux OS administration Windows Server administration Hands-on exposure to vulnerability remediation and patch management Experience working in ticket-driven, SLA-based environments Strong collaboration and communication skills Preferred / Good to Have Experience with vulnerability tools such as: Qualys Nessus Rapid7 Familiarity with: VMware / Virtualization Cloud platforms (Azure / AWS) Basic scripting (Bash / PowerShell) Understanding of security concepts: CVEs OS hardening Least privilege access

About Us: Ambience Healthcare is the leading AI platform for documentation, coding, and clinical workflow, built to reduce administrative burden and protect revenue integrity at the point of care. Trusted by top health systems across North America, Ambience's platform is live across outpatient, emergency, and inpatient settings, supporting more than 100 specialties with real-time, coding-aware documentation. The platform integrates directly with Epic, Oracle Cerner, athenahealth, and other major EHRs. Founded in 2020 by Mike Ng and Nikhil Buduma, Ambience is headquartered in San Francisco and backed by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, Kleiner Perkins, and other leading investors. Join us in the endeavor of accelerating the path to safe & useful clinical super intelligence by becoming part of our community of problem solvers, technologists, clinicians, and innovators. The Role: We're looking for a Machine Learning Infrastructure Engineer to join our AI Platform team. This is a high-leverage role focused on building and scaling the core infrastructure that powers every AI system at Ambience. You'll work closely with our ML, data, and product teams to develop the foundational tools, systems, and workflows that support rapid iteration, robust evaluation, and production reliability for our LLM-based products. Our Engineering roles are hybrid in our SF office 3x/wk. What You'll Do: You have 5+ years of experience as a software engineer, infrastructure engineer, or ML platform engineer You've worked directly on systems that support ML research or production workloads - whether training pipelines, evaluation systems, or deployment frameworks You write high-quality code (we primarily use Python) and have strong engineering and systems design instincts You're excited to work closely with ML researchers and product engineers to unblock them with better infrastructure You're pragmatic and care deeply about making tools that are reliable, scalable, and easy to use You thrive in fast-paced, collaborative environments and are eager to take ownership of ambiguous problems Who You Are: Design, build, and maintain the infrastructure powering ML model training, batch inference, and evaluation workflows Improve internal tools and developer experience for ML experimentation and observability Partner with ML engineers to optimize model deployment and monitoring across clinical workloads Define standards for model versioning, performance tracking, and rollout processes Collaborate across the engineering team to build reusable abstractions that accelerate AI product development Drive performance, cost efficiency, and reliability improvements across our AI infrastructure stack Pay Transparency We offer a base compensation range of approximately $200,000-300,000 per year, exclusive of equity. This intentionally broad range provides flexibility for candidates to tailor their cash and equity mix based on individual preferences. Our compensation philosophy prioritizes meaningful equity grants, enabling team members to share directly in the impact they help create. Are you outside of the range? We encourage you to still apply: we take an individualized approach to ensure that compensation accounts for all of the life factors that matter for each candidate. Being at Ambience: An opportunity to work with cutting edge AI technology, on a product that dramatically improves the quality of life for healthcare providers and the quality of care they can provide to their patients Dedicated budget for personal development, including access to world class mentors, advisors, and an in-house executive coach Work alongside a world-class, diverse team that is deeply mission aligned Ownership over your success and the ability to significantly impact the growth of our company Competitive salary and equity compensation with benefits including health, dental, and vision coverage, quarterly retreats, unlimited PTO, and a 401(k) plan Ambience is committed to supporting every candidate's ability to fully participate in our hiring process. If you need any accommodations during your application or interviews, please reach out to our Recruiting team at accommodations@ambiencehealth.com. We'll handle your request confidentially and work with you to ensure an accessible and equitable experience for all candidates. #J-18808-Ljbffr

At any given moment, hundreds of complex networked computer systems are operating in tandem to keep ships and submarines operating at their best. When a network goes down, vital information may be lost, from global satellite data to special intelligence communications. That's why it's critical that trained Information Systems Technicians are on board to make sure networks and related systems are designed and operated properly, and errors are fixed without any interruption to the mission. Want to start your journey with the Navy? Apply Now Enlisted None What to Expect Information Systems Technician More Information Responsibilities Information Systems Technicians manage communication operations and networks aboard Navy vessels, and play a vital role in everything from electronic mail systems to special intelligence and information warfare systems. There are two types of Information Systems Technicians depending on whether you choose to serve on ships or submarines. Responsibilities may include: INFORMATION SYSTEMS TECHNICIAN (IT) Establishing, monitoring and maintaining radio frequency communication systems Operating and maintaining global satellite telecommunications systems Transmitting, receiving and storing all incoming and outgoing messages Managing and coordinating information systems security across platforms and fleets Designing, installing and operating wide-area-networks, computer systems and associated devices Performing network system administration, maintenance and training and manage network security Installing applications, troubleshooting user problems and providing training and assistance with use of computer hardware and software Writing programs to collect and distribute data for a variety of applications Ensuring the proper security and handling of communications materials, systems and equipment Performing diagnostics and data recovery operations and maintaining logs INFORMATION SYSTEMS TECHNICIAN SUBMARINES (ITS) Establishing, monitoring and maintaining radio frequency communication systems Operating and maintaining global satellite telecommunications systems Transmitting, receiving and storing all incoming and outgoing messages Managing and coordinating information systems security across platforms and fleets Designing, installing and operating wide-area-networks, computer systems and associated devices Performing network system administration, maintenance and training and manage network security Installing applications, troubleshooting user problems and providing training and assistance with use of computer hardware and software Writing programs to collect and distribute data for a variety of applications Performing diagnostics and data recovery operations, and maintain logs Operating and maintaining electronic equipment used for detection and tracking, communication security and cryptography and Electronic Warfare Systems Operating and maintaining testing and auxiliary equipment Ensuring the proper security and handling of communications materials, systems and equipment Work Environment As an IT, you are primarily stationed aboard ships at sea, while you'll serve aboard submarines as an ITS. You will also receive shore assignments. Your typical work environment will be a clean, climate-controlled indoor space used to house electronic equipment or computers. Training & Advancement Upon completion of initial training at Recruit Training Command Great Lakes (known as Boot Camp), both ITS and ITs report for specialized training, including: Class A Technical School (24 weeks) in Pensacola, FL (for ITs) or Groton, CT (for ITSs) for training on Microsoft, Cisco and Oracle computer software and hardware fundamentals, automatic data processing, security, and system theory and operation. After A School, Information Systems Technician Submarines (ITS) will also attend submarine training: Basic Enlisted Submarine School (8 weeks) in Groton, CT, for training in basic submarine systems. Note that this training is only for Information Systems Technician Submarines (ITS). After completing training, ITs and ITSs will receive their first assignments. ITs may be assigned to a ship, communication station or shore station, while ITSs may be assigned to a submarine, communication station or shore station. Promotion opportunities are regularly available but competitive and based on performance. Advanced Training Advanced training as an Information Systems Technician may be available during later stages of your career. For those with further leadership aspirations and a college degree, Officer roles may be available, providing opportunities to lead and train others. Post-Service Opportunities Specialized training received and work experience gained in the course of service can lead to valuable credentialing and occupational opportunities in related fields in the civilian world, such as IT and network support, computer programming, web development, and information security. Education Opportunities Beyond offering access to professional credentials and certifications, Navy technical and operational training as an Information Systems Technician can translate to credit hours toward a bachelor's or associate degree through the American Council on Education. You may also continue your education through undergraduate degree opportunities like the Navy College Program and Tuition Assistance and the Post-9/11 GI Bill. Qualifications & Requirements A high-school diploma or equivalent is required to become an Enlisted Sailor and an Information Systems Technician. Due to the sensitive nature of this role, you must be a U.S. citizen eligible for a Top Secret security clearance, which requires a background investigation. Immediate family members must also be U.S. citizens. IT and ITS applicants should have good arithmetic, writing and speaking skills, and should be able to use and understand computers. You should also be able to perform detailed work, keep accurate records and work well with others as part of a team. Important physical attributes include good manual dexterity and physical strength. ITS applicants must be willing to serve aboard submarines. General qualifications may vary depending upon whether you're currently serving , whether you've served before or whether you've never served before . Part-Time Opportunities Serving part-time as a Navy Reserve Sailor, your duties will be carried out during your scheduled drilling and training periods. During monthly drilling, Information Systems Technicians in the Navy Reserve typically work at a location close to their homes. For annual training, you may serve anywhere in the world, including locations in the U.S., at bases overseas, or in areas where humanitarian needs are great. Take a moment to learn more about the general roles and responsibilities of Navy Reserve Sailors. Most of what you do in the Navy Reserve is considered training. The basic Navy Reserve commitment involves training a minimum of one weekend a month (referred to as drilling) and two weeks a year (referred to as Annual Training) - or the equivalent of that. Information Systems Technicians in the Navy Reserve serve in an Enlisted role. Before receiving the ongoing professional training that comes with the job, initial training requirements must be met. For current or former military Enlisted servicemembers, prior experience satisfies the initial Recruit Training requirement, so you will not need to go through Boot Camp again. For those without prior military experience, you will need to meet the initial Recruit Training requirement by attending Boot Camp in Great Lakes, IL. This training course will prepare you for service in the Navy Reserve and count as your first Annual Training. Compare Navy Careers See how a career as an Information Systems Technician compares to other Navy jobs. 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Principal Enterprise IT Engineer, IT & Security About 1X We're an AI and robotics company based in Palo Alto, California, on a mission to build a truly abundant society through general-purpose robots capable of performing any kind of work autonomously. We believe that to truly understand the world and grow in intelligence, humanoid robots must live and learn alongside us. That's why we're focused on developing friendly home robots designed to integrate seamlessly into everyday life. We're looking for curious, driven, and passionate people who want to help shape the future of robotics and AI. If this mission excites you, we'd be thrilled to hear from you and explore how you might contribute to our journey. Role Overview The Principal Enterprise IT Engineer will lead the strategy, architecture, and implementation of enterprise IT systems across the company. This role will define standards for identity, endpoint management, collaboration, and security while scaling IT infrastructure to support rapid organizational growth. You'll play a key leadership role, mentoring senior engineers and influencing cross-functional and executive stakeholders to align IT operations with strategic business needs. Responsibilities Define and drive enterprise IT strategy, architecture, and roadmaps across identity, collaboration, and device platforms Lead administration and scaling of Google Workspace, Okta, Intune, and MDM platforms with a focus on Zero Trust principles Develop and implement automation frameworks and scripting (Bash, Python, PowerShell) to streamline IT operations Align IT systems with compliance standards (e.g., SOC2, ISO 27001) and proactively mitigate enterprise risks Ensure seamless integration of IT systems with engineering, manufacturing, and robotics environments Act as senior escalation point for IT operations, mentoring IT engineers and building a high-performance function Influence executive and cross-functional stakeholders to ensure IT strategy supports business growth Requirements Expert-level knowledge of Google Workspace, Okta, Microsoft Intune, and MDM platforms across multiple OS (mac OS, Windows, iOS, Android) Strong scripting and automation skills (Bash, Python, PowerShell); experience implementing Zero Trust security Proven experience scaling IT systems globally in high-growth, cloud-first or hybrid environments Ability to lead IT architecture initiatives and partner with executive and security leadership Experience mentoring senior IT engineers and leading high-performance teams Preferred: Familiarity with Terraform, Ansible, and IT support for robotics or engineering-heavy environments Preferred: Certifications such as CISSP, Okta Certified Architect, Google Workspace Admin, or Microsoft Enterprise Mobility Benefits & Compensation Salary Range: $180,000 - $235,000 Health, dental, and vision insurance 401(k) with company match Paid time off and holidays Equal Opportunity Employer 1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law. #J-18808-Ljbffr

TM Process & Controls, Inc. is a full-service design-build company that provides custom process and automation solutions to a wide range of manufacturing industries. Our employees' technical design and hands-on field experience has developed, executed, and commissioned technical solutions throughout the United States and the Caribbean. We are a fast-growing process & process controls company in search of a talented individual who would like to further his/her career as an Operational Technology Network Engineer. Position Summary: Provide consultation, design, implementation and troubleshooting of industrial network and ICS cybersecurity solutions. Provide direction and coordination of OT/ICS Cybersecurity solutions for industrial projects in the food and beverage industry throughout the United States and Caribbean. Essential Responsibilities Conducts industrial network assessments and report findings through professionally written reports and presentation to clients. Works with clients to develop industrial data centers, ICS cybersecurity and industrial network solutions, including but not limited to, system architecture, Bill of Materials, industrial networks implementation planning, and endpoint security testing/planning/deployment. Design, configuration and deployment of industrial networks and industrial data centers for highly available environments including but not limited to NAS, SAN, Hypervisors, clusters, industrial network switches, firewalls and Windows or Linux servers. Design, configuration and deployment of Windows/Linux servers for infrastructure services i.e. Active Directory, DNS, SMTP Relay, WSUS, Certificate Services, etc. Design, configuration and deployment of SCADA software including but not limited to, SCADA software configuration, configuration for high availability, and integrations with databases, authentication servers, etc. Interface with IT teams to drive IT-OT integrations to completion. Develops project documentation including, but not limited to, network drawings, IP address lists, server lists, functional descriptions, user requirements, etc. Assist ICS Cybersecurity Engineers or Manager with the implementation of security controls and security monitoring included but not limited to security appliances and software, modification of network traffic flow, etc.. Assist ICS Cybersecurity Engineers or Manager with the implementation of OT/ICS cybersecurity best practices including defense-in-depth principles, principle of least privilege, IEC-62443, NIST.SP.800-82 and other applicable standards or security principles. Performs strategic system maintenance, including but not limited to, patching and firmware upgrades in high availability OT infrastructure to minimize downtime. Performs detailed resolution writeups in ticketing systems like ZenDesk, ServiceNow, etc. Readily available to support clients and controls engineers with issues related to industrial networks, SCADA software and industrial data centers. Able to be resourceful to troubleshoot and resolve problems with SCADA software and Windows/Linux operating systems. Able to quickly spin up development systems for proof of concept/testing. Understands PLC/HMI, SCADA, VFD and instrumentation functions and assist clients and controls engineer with troubleshooting. Works with subcontractors (electrical and telecommunication contractors) on projects including oversight of installation related to network infrastructure. Stays current with the latest OT/ICS cybersecurity threats, technologies and solutions. Proactively assists the Cyber Team in developing best practices to streamline the deployment of industrial network solutions including maintaining internal documentation and lab deployments. Drafting of networks layouts, OT/ICS infrastructure layouts, etc. Ensures projects are completed on time and on budget. Manages OT/ICS infrastructure projects up to $250k. Interacts with and manages customer expectations. Other functions as required by the project or team. Minimum Qualifications Cisco CCNA. 1 year experience working with virtualize environment utilizing VMware/Promox/Microsoft Hyper-V/Nutanix. 2 years of experience configuring enterprise and/or industrial networks. 3 years of controls engineering experience programming, integrating and commissioning PLC, HMI and SCADA systems. Bachelor's degree in electrical engineering, mechanical engineering, chemical engineering, information technology or cybersecurity. Ability to multitask on multiple projects and project elements. Proficient with Microsoft Office Suite including Word, Excel, Outlook and Project. Preferred Qualifications (some of the following) Engineer-in-Training certificate or Professional Engineer license. VMware VCP-CDV certificate. Very proficient with Microsoft Excel and Outlook as well as experience with Microsoft Project. Experience with AutoCAD and Microsoft Visio. Experience configuring, deploying and administering the following Rockwell Automation software packages: RSLogix5, RSLogix500, RSLogix5000, Studio5000, FactoryTalk View SE, FactoryTalk View ME, RSView32, FactoryTalk Batch, FactoryTalk Historian SE, FactoryTalk VantagePoint, PlantPAx, and FactoryTalk AssetCentre. Experience configuring, deploying and administering WonderWare System Platform components. Experience configuring, deploying and administering Ignition and/or Sepasoft. Experience troubleshooting the following networking protocols: EtherNet/IP, ControlNet, DeviceNet, Modbus RTU, Profibus PA, Profibus DP, Remote I/O (RIO), and Data Highway Plus (DH+). Experience configuring and deploying virtualization utilizing VMware ESXi, vCenter, Microsoft Hyper-V or Proxmox for manufacturing systems. Experience configuring, deploying and administering IT/OT Infrastructure, including Domain Controllers, SMTP Relay Servers, Backup Solutions, Certificate Services, etc. Experience conducting network vulnerability assessments in OT infrastructure. Experience configuring, deploying and administering Cisco/Dell/Fortinet network hardware configuration. Command Line Interface experience is most beneficial. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully preform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit for long periods of time; stand; walk; use hands to finger handle, or feel; reach with hand and arms; grasp and manipulate objects; and talk or hear. The employee may be required on occasion to climb stairs and/or ladders; kneel; stoop; crouch; and crawl. The employee must occasionally lift and/or move up to 50 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment The nature of this job requires both office time and on-site time at a customer facility. Work during office time takes place in a clean, pleasant and comfortable office setting. Work during on-site time employees could encounter cold, hot, humid, noisy conditions. This position will require a minimum of 25% travel time. TM Process & Controls, Inc. is an Equal Opportunity Employer

Ready to play a key role in building the future of living? Join Samara in tackling California's housing shortage and enabling people to attain sustainable housing without compromising design or quality. Our flagship product, Backyard, is a fully turnkey, premium accessory dwelling unit (ADU) designed for homeowners and real estate developers. As we expand our offerings and scale our in-house development initiatives, we're at a pivotal moment, redefining homeownership through high-quality, attainable infill housing. Backed by top-tier investors, including Airbnb, Thrive Capital, and 8VC, Samara is positioned for significant growth and market impact. To support our next phase of growth, we're hiring product-focused engineers to advance and scale the technical foundation of our modular system. These roles go beyond traditional design work-they refine system standards, improve factory repeatability, and ensure our units are code-compliant, manufacturable, and built to the highest standards of quality and performance. The MEP Systems Engineer will be responsible for the detailed design and implementation of mechanical, electrical, plumbing, and PV systems tailored for modular construction building systems. This role requires a deep understanding of MEP systems combined with practical experience in modular construction. You will collaborate closely with leadership, crossfunctional design and engineering teams to integrate all technical and user experience requirements into our designs to ensure optimal functionality, sustainability, and compliance with all regulations. What You'll Do Design and develop integrated MEP systems for our new and existing designs including solar energy systems, including PV and ESS, optimized for prefabricated modular construction Ensure that solar and energy storage designs align with overall MEP system functionality and building energy requirements Lead the creation of comprehensive design documents, schematics, component material selections and system layouts, preferably using CAD and BIM software Provide technical leadership during the installation and commissioning phases to ensure systems meet design specifications and performance standards Conduct system testing and validation to ensure functionality, efficiency, and safety of both MEP and PV installations Collaborate closely with installation teams to facilitate seamless and efficient factory and onsite implementation of design Engage in research and application of the latest technologies and practices in renewable energy and modular construction Work with program managers and other engineering disciplines to ensure holistic integration of all systems within Samara modular units What We're Looking For Modular construction experience in factory builds, multi-mod, stackable and/or other hands on related experience. Licensed Electrician or Mechanical Contractor -and/or- Bachelor's degree in Mechanical, Electrical, or Energy Systems Engineering, or a related field Professional Engineering (PE) license preferred Minimum of 7 years of experience in one of the following: Mechanical, Electrical, Solar and/or Plumbing System design Comprehensive knowledge of building codes, safety regulations, and sustainability practices relevant to MEP and renewable energy systems Proficiency in design software such as Onshape, Revit, and/or other BIM methodologies preferred Excellent problem-solving skills and the ability to adapt designs to changing technological and regulatory landscapes Strong communication and leadership skills, capable of driving project decisions and managing complex stakeholder relationships Ability to travel to our factory in Mexico up to 25-40%. What We Offer Salary range of $120-160K and performance-based bonuses. Hybrid work schedule with 3 days each week in our Redwood City office. Snacks and Lunch on in-office days Early stage employee equity. Exceptional health, dental, and vision insurance. 401k eligibility after 6 months. Flexible PTO policy. How to Apply If you're excited to support Samara's mission and have the skills to match, we'd love to hear from you. Please submit your resume and a brief letter of introduction to our team. Let's build something extraordinary-together.

A leading laboratory organization in San Diego is seeking a Machine Learning Engineer I/II to contribute to the development of foundation models for biology. This role involves training and optimizing large-scale machine learning systems in a collaborative environment with a diverse team. Ideal candidates will have relevant degrees and practical experience in large-scale ML tools, with strong communication skills. The position offers competitive compensation with a salary range from $150,450 to $203,550 for Machine Learning Engineer I. #J-18808-Ljbffr

Build the infrastructure to serve personal AI models privately and at scale. We're building the first truly private, personal AI - one that learns your skills, judgment, and preferences without big tech ever seeing your data. Our core ML systems challenge: how do we serve the world's best personal model, at low cost and high speed, with bulletproof privacy? What you'll do Build the infrastructure that lets us create & deploy thousands and eventually millions of personalized finetuned models for our customers Monitor & optimize in-the-wild model serving performance to hit low latency & cost Interface with the TEE-based privacy stack that lets us guarantee user data & models can only be seen & used by the user-not even us-and integrate the privacy architecture with the finetuning & inference code You have A deep understanding of the machine learning stack. You can dive into the details of how transformers work & performance optimization techniques for them. You have a mental model of GPUs sufficient to reason about performance from first principles. You can drill down from ML code to metal. Ability to execute quickly. We ship fast and fail fast so we can win faster. The challenge of human relevance in a post-AGI world isn't going to solve itself. A missionary mentality. We're a mission-driven company, looking for mission-first people. If you're passionate about ensuring AI works for people (and not the other way around), you've come to the right place. Ready to roll up your sleeves. We're an early stage startup, so we're looking for someone who can wear many hats. Experience you may have Work at a fast-paced AI startup, or top AI lab Experience deploying ML systems at scale. You might have worked with frameworks like vLLM, S-LoRA, Punica, or LoRAX. Experience with privacy-first infrastructure. You're familiar with confidential computing & ability to reason about both technical and real-world confidentiality and security. You may have worked with secure enclaves, TEEs, code measurement & remote attestation, Nvidia Confidential Computing, Intel TDX or AMD SEV-SNP, or related confidential computing technologies. We encourage speculative applications; we expect many strong candidates will have different experience or unconventional backgrounds. What we offer Generous compensation and early stage equity. We're competitive with the top startups, because we believe the best talent deserves it. World-class expertise. We're based in top AI research hubs in San Francisco and London. We're backed by AI experts like Juniper Ventures, Seldon Lab, and angels at Anthropic and Apollo Research. You'll have access to some of the best AI expertise in the world. Massive impact. Our mission is to keep people in the economy well after AGI. You'll help shift the trajectory of AI development for the better, helping break the intelligence curse and prevent gradual disempowerment to keep humans in control of the future. About Workshop Labs We're building the AI economy for humans. While everyone else tries to automate the world top-down, we believe in augmenting people bottom-up. Our team previously created evals used by Open AI, completed frontier AI research at MIT/Cambridge/Oxford, worked in Stuart Russell's lab, and led product verticals at high growth startups. The essay series The Intelligence Curse has been covered in TIME, The New York Times, and AI 2027. Our vision is for everyone to have a personal AI aligned to their goals and values, helping them stay durably relevant in a post-AGI economy. As a public benefit corporation, we have a fiduciary duty to ensure that as AI becomes more powerful, humans become more empowered, not disempowered or replaced. We're an early stage startup, backed by legendary investors like Brad Burnham and Matt McIlwain, visionary product leaders like Jake Knapp and John Zeratsky, philosopher-builders like Brendan McCord, and top AI safety funds like Juniper Ventures. Our investors were early at Anthropic, Slack, Prime Intellect, DuckDuckGo, and Goodfire. Our advisors have held senior roles at Anthropic, Google DeepMind, and UK AISI. #J-18808-Ljbffr

David AI is the first audio data research company. We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human-it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. About our Engineering team At David AI, our engineers build the pipelines, platforms, and models that transform raw audio into high-signal data for leading AI labs and enterprises. We're a tight-knit team of product engineers, infrastructure specialists, and machine learning experts focused on building the world's first audio data research company. We move fast, own our work end-to-end, and ship to production daily. Our team designs real-time pipelines handling terabytes of speech data and deploys cutting-edge generative audio models. About this role As our Founding Machine Learning Infrastructure Engineer at David AI, you will build and scale the core infrastructure that powers our cutting-edge audio ML products. You'll be leading the development of the systems that enable our researchers and engineers to train, deploy, and evaluate machine learning models efficiently. In this role, you will Design and maintain data pipelines for processing massive audio datasets, ensuring terabytes of data are managed, versioned, and fed into model training efficiently. Develop frameworks for training audio models on compute clusters, managing cloud resources, optimizing GPU utilization, and improving experiment reproducibility. Create robust infrastructure for deploying ML models to production, including APIs, microservices, model serving frameworks, and real-time performance monitoring. Apply software engineering best practices with monitoring, logging, and alerting to guarantee high availability and fault‑tolerant production workloads. Translate research prototypes into production pipelines, working with ML engineers and data teams to support efficient data labeling and preparation. and optimization techniques to enhance infrastructure velocity and reliability. Your background looks like 5+ years of backend engineering with 2+ years ML infrastructure experience. Hands‑on experience scaling cloud infrastructure and large‑scale data processing pipelines for ML model training and evaluation. Proficient with Docker, Kubernetes, and CI/CD pipelines. Proven ML model deployment and lifecycle management in production. Strong system design skills optimizing for scale and performance. Proficient in Python with deep Kubernetes experience. Bonus points if you have Experience with feature stores, experiment tracking (MLflow, Weights and Biases), or custom CI/CD pipelines. Familiarity with large‑scale data ingestion and streaming systems (Spark, Kafka, Airflow). Proven ability to thrive in fast‑moving startup environments. Some technologies we work with Next.js, TypeScript, TailwindCSS, Node.js, tRPC, PostgreSQL, AWS, Trigger.dev, WebRTC, FFmpeg. Benefits Unlimited PTO. Top‑notch health, dental, and vision coverage with 100% coverage for most plans. FSA & HSA access. 401k access. Meals 2x daily through DoorDash + snacks and beverages available at the office. Unlimited company‑sponsored Barry's classes. #J-18808-Ljbffr

This is a job that we are recruiting for on behalf of one of our customers. To apply, speak to Jack. He's an AI agent that sends you unmissable jobs and then helps you ace the interview. He'll make sure you are considered for this role, and help you find others if you ask. Machine Learning Infrastructure Engineer Company Description: Early-stage private AI platform Job Description: Build the core infrastructure to serve thousands, then millions, of private, personalized AI models at scale. This role involves optimizing model serving performance for low latency and cost, and integrating a TEE-based privacy stack to ensure user data and models are exclusively accessible by the user, not even the company. Drive the foundational systems for a new era of personal AI. Location: San Francisco, USA Why this role is remarkable: Pioneer the infrastructure for truly private, personal AI models, ensuring user data remains confidential. Join an early-stage, well-funded startup backed by top-tier VCs and leading AI experts. Make a massive impact on the future of AI, helping to keep humans empowered in a post-AGI world. What you will do: Build infrastructure for deploying thousands to millions of personalized finetuned models. Monitor and optimize in-the-wild model serving performance for low latency and cost. Integrate with a TEE-based privacy stack to guarantee user data and model confidentiality. The ideal candidate: Deep understanding of the machine learning stack, including transformer optimization and GPU performance. Ability to execute quickly in a fast-paced, early-stage startup environment. A missionary mentality, passionate about ensuring AI works for people. How to Apply: To apply for this job speak to Jack, our AI recruiter. Step 1. Visit our website Step 2. Click 'Speak with Jack' Step 3. Login with your LinkedIn profile Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions Step 5. If the hiring manager would like to meet you, Jack will make the introduction #J-18808-Ljbffr

A fast-growing tech company based in San Francisco seeks an experienced IT Engineer for contract work. You will manage IT operations, leading employee onboarding and troubleshooting. Candidates should have 3-5 years of experience in IT roles, with skills in Google Workspace and troubleshooting. The position requires reliable execution and communication skills. You will work in the office three days a week, participating in an innovative tech culture that values diversity and collaboration. #J-18808-Ljbffr

About the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you'll have the opportunity to work on the core of cutting‑edge foundation model training, alongside world‑class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem‑solving skills will be instrumental in establishing MBZUAI as a global hub for high‑performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role We're looking for a distributed ML infrastructure engineer to help extend and scale our training systems. You'll work side‑by‑side with world‑class researchers and engineers to: Extend distributed training frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod) Implement distributed optimizers from mathematical specs Build robust config + launch systems across multi‑node, multi‑GPU clusters Own experiment tracking, metrics logging, and job monitoring for external visibility Improve training system reliability, maintainability, and performance While much of the work will support large‑scale pre‑training, pre‑training experience is not required. Strong infrastructure and systems experience is what we value most. Key Responsibilities Distributed Framework Ownership - Extend or modify training frameworks (e.g., DeepSpeed, FSDP) to support new use cases and architectures. Optimizer Implementation - Translate mathematical optimizer specs into distributed implementations. Launch Config & Debugging - Create and debug multi‑node launch scripts with flexible batch sizes, parallelism strategies, and hardware targets. Metrics & Monitoring - Build systems for experiment tracking, job monitoring, and logging usable by collaborators and researchers. Infra Engineering - Write production‑quality code and tests for ML infra in PyTorch or JAX; ensure reliability and maintainability at scale. Qualifications Must-Haves: 5+ years of experience in ML systems, infra, or distributed training Experience modifying distributed ML frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod) Strong software engineering fundamentals (Python, systems design, testing) Proven multi‑node experience (e.g., Slurm, Kubernetes, Ray) and debugging skills (e.g., NCCL/GLOO) Ability to implement algorithms across GPUs/nodes based on mathematical specs Experience working on an ML platform/ infrastructure, and/or distributed inference optimization team Experience with large‑scale machine learning workloads (strong ML fundamentals) Nice-to-Haves: Exposure to mixed‑precision training (e.g., bf16, fp8) with accuracy validation Familiarity with performance profiling, kernel fusion, or memory optimization Open‑source contributions or published research (MLSys, ICML, NeurIPS) CUDA or Triton kernel experience Experience with large‑scale pre‑training Experience building custom training pipelines at scale and modifying them for custom needs Deep familiarity with training infrastructure and performance tuning $150,000 - $450,000 a year Benefits Comprehensive medical, dental, and vision 401(k) program Generous PTO, sick leave, and holidays Paid parental leave and family‑friendly benefits On‑site amenities and perks: Complimentary lunch, gym access, and a short walk to the Sunnyvale Caltrain station #J-18808-Ljbffr

A cloud storage technology company in San Francisco is looking for a Distributed Systems Engineer to work across the stack in building innovative storage solutions. You will be oncall for production systems and will design distributed systems to meet customer needs. The ideal candidate has over 3 years of experience in distributed systems, problem solving skills, and is passionate about enhancing customer experiences. Join us in our mission to revolutionize cloud storage with the next generation of applications. #J-18808-Ljbffr

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: You want to build the cutting-edge systems that train AI models like Claude. You're excited to work at the frontier of machine learning, implementing and improving advanced techniques to create ever more capable, reliable and steerable AI. As an ML Systems Engineer on our Reinforcement Learning Engineering team, you'll be responsible for the critical algorithms and infrastructure that our researchers depend on to train models. Your work will directly enable breakthroughs in AI capabilities and safety. You'll focus obsessively on improving the performance, robustness, and usability of these systems so our research can progress as quickly as possible. You're energized by the challenge of supporting and empowering our research team in the mission to build beneficial AI systems. Our finetuning researchers train our production Claude models, and internal research models, using RLHF and other related methods. Your job will be to build, maintain, and improve the algorithms and systems that these researchers use to train models. You'll be responsible for improving the speed, reliability, and ease-of-use of these systems. You may be a good fit if you: Have 4+ years of software engineering experience Like working on systems and tools that make other people more productive Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large scale distributed systems Large scale LLM training Python Implementing LLM finetuning algorithms, such as RLHF Representative projects: Profiling our reinforcement learning pipeline to find opportunities for improvement Building a system that regularly launches training jobs in a test environment so that we can quickly detect problems in the training pipeline Making changes to our finetuning systems so they work on new model architectures Building instrumentation to detect and eliminate Python GIL contention in our training code Diagnosing why training runs have started slowing down after some number of steps, and fixing it Implementing a stable, fast version of a new training algorithm proposed by a researcher Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is: Annual Salary:$315,000-$425,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. #J-18808-Ljbffr

A tech-focused financial services firm in California is seeking a Cybersecurity/SRE professional to secure and maintain the reliability of its infrastructure. Responsibilities include building secure applications on AWS, managing identities, and strengthening Kubernetes security. The ideal candidate has expertise in Python, Terraform, and large distributed systems, and holds a proactive, problem-solving mindset. Competitive salary and comprehensive benefits included. #J-18808-Ljbffr

Job DescriptionDescription: This is an on-site role at Kings River Packing, LP headquarters office in Sanger, CA. Kings River Packing, LP an 8th generation family-owned grower-packer-shipper, invites you to be part of our dynamic team. We're integral to the citrus industry, growing and marketing citrus across domestic and international markets. During our offseason, we import citrus from various countries. As we plan for growth, our hands-on owners prioritize excellence and integrity. Join us in embodying these values. Role Description As an IT Support Engineer at Kings River Packing, LP, you will play a key role in ensuring the smooth operation of our technology systems by providing essential technical support to end-users. Your expertise will be vital in resolving hardware and software issues, maintaining system security, and delivering exceptional customer service. You will collaborate with team members to address technical challenges and contribute to a productive work environment through effective communication and problem-solving skills. Responsibilities · Technical Expertise: Leveraging your proficiency in Windows and mac OS operating systems to troubleshoot and resolve hardware and software issues. You will also apply your understanding of basic networking concepts to address connectivity problems · Problem-Solving: Utilizing strong analytical skills to diagnose issues and implement effective solutions efficiently. Your ability to troubleshoot and address technical challenges will be crucial in maintaining smooth operations · Customer Service: Communicating clearly and effectively with end-users, handling stressful situations with patience, and documenting issues and resolutions accurately to ensure a high level of customer satisfaction · Technical Support Tools: Using remote desktop tools and ticketing systems to manage support requests and provide timely assistance · Security Awareness: Applying basic cybersecurity practices to safeguard against malware and ensure safe browsing · Installation and Maintenance: Installing and configuring operating systems, software applications, and peripherals, while performing updates and basic repairs to keep systems secure and functional · Team Collaboration: Working effectively within a team, utilizing collaboration tools such as Microsoft Teams, and supporting colleagues as needed to achieve collective goals Requirements: · Associate or bachelor's degree in computer science, information technology, or a related field · 1-3 years' experience in a technical support or desktop support role · Practical experience with troubleshooting and supporting Windows and mac OS operating systems · Knowledge of remote desktop tools and VPNs, and IT security best practices · Strong problem-solving skills, communication, and customer service skills · Ability to work independently and collaboratively · Alignment with the company's mission and core values · Prolong sitting throughout the workday with daily interaction with staff · Ability to sit, stand and walk for extended periods and occasionally lift up to 25 pounds Salary & Benefits · $25-$30 an hour · Generous paid time off, 48 hours sick leave and 8 paid holidays · 401k with 4% matching after 1 year service · Flexible Spending Account (FSA) and dependent care This information reflects a base salary range that Kings River Packing reasonably expects to pay for the position based on a number of factors which may include job-related knowledge, skills, education, certification, and experience. The job posting is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice. Kings River Packing, LP is an Equality Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.