Network administrator jobs in Napa, CA - 827 jobs

San Francisco Bay Area, California, United States Software and Services The iPhone revolutionized how people live, communicate, and connect. The iPad changed how people define a computer. Come help build the iconic user experiences and delightful interfaces that millions of customers use and love every day. The Notifications and Focus team is looking for a creative, customer-focused engineer to help push the iOS and iPadOS user experience forward. Come work with an energetic, hardworking team of engineers, multi-functional teams, and world‑class designers to deliver the best mobile experience on the planet! Description Are you passionate about building software that is used by millions of people every day? Have you ever wondered what backs the notification system employed by iOS, watch OS, vision OS, and mac OS? How services like Focus interact with the rest of the system to allow for personalization and intentional use? How all of the beautiful, fluid animations in iOS are achieved? How to make services and technologies that fundamentally make iOS, well… iOS? As an engineer on the Notifications and Focus team, your responsibilities will range from defining, designing, and implementing new features and interfaces, to fixing bugs, iterating on features, and focusing on performance. You should have a strong understanding of object‑oriented software design, good debugging skills, and an eagerness to tackle tough problems and learn from amazing teammates. Minimum Qualifications Bachelor of Computer Science or equivalent work experience Strong sense of ownership and accountability Comfortable operating in ambiguity and defining the right solution, not just implementing one Knowledge of Apple's development APIs and experience developing apps with UIKit or SwiftUI Exceptional problem solving, critical thinking, and communication skills Preferred Qualifications Familiar with the challenges of working in large codebases Versed in modern software development methodologies Excellent object‑oriented programming and design skills Excellent understanding of optimization and performance issues across OS software layers At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Apple accepts applications to this posting on an ongoing basis. #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.

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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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

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

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 cutting-edge AI startup in San Francisco is seeking a Machine Learning Engineer. In this role, you will build and improve core ML systems that drive custom model training platforms. You will lead projects from data intake to model delivery, creating robust tools and ensuring model performance. The ideal candidate has experience in AI model training with PyTorch, data processing, and creating benchmarks. Offering competitive salaries within a range of $220,000 to $320,000, plus equity and benefits. #J-18808-Ljbffr

Cupertino, California, United States Machine Learning and AI The Siri organization is looking for passionate Machine Learning Systems Engineers to join us in developing and shipping state-of-the-art generative AI technology to advance Siri and Apple Intelligence for Apple's customers. Siri is being elevated by the huge opportunities that AI brings.The organization is responsible for training on-device & cloud models, evaluating various approaches, pushing the envelope with the latest generative AI research developments, and ultimately delivering product critical models that power Siri and Apple Intelligence experiences. These models ship across a wide range of products at Apple, including iPhone, Mac, Apple Watch and more, enabling millions of people around the world to get things done every day. Our team provides an opportunity to be part of an incredible research and engineering organization at Apple. By joining the team, you will work with highly talented machine learning researchers and engineers, and work on meaningful, challenging and novel problems. Description As a Machine Learning Systems Engineer, you will work closely with Siri modeling teams and other cross-functional teams to optimize model training and inference. You will be working across the ML stack at Apple, finding opportunities to make models performant, train quicker, and run faster on Apple's custom Apple Silicon. You will be joining a team that spans data, modeling, evaluation, deployment and working with engineers across ML infrastructure, inference, and framework teams. You will write production-level code to train and deploy models that will impact Apple's customers and enrich their lives. You are an ideal candidate if you: Are not afraid of CUDA OOM or NCCL errors Can dig deep into an ML library to understand how tiny details impact the model Can understand complex ML systems that include data, training pipeline, export, and inference engine Minimum Qualifications Experience in model lifecycle of training, evaluation, and deployment of models Strong understanding of Machine Learning (ML) model architectures (e.g. Transformers, CNN) and ML training loop Strong proficiency in Python and ML framework such as PyTorch Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent industry/project experience Preferred Qualifications Collaborative with experience working in large inter-teams projects Expertise in ML and LLM optimization such as quantization, KV Cache, Speculative Decoding Familiarity with ML training methodologies such as FSDP, DDP, and other parallelism Experience in an LLM training/eval library such as HuggingFace transformers, lm evaluation harness, Megatron-LM. Experience in optimizing LLM models and deploying LLM models Proficiency in a compiled programming language (e.g. Swift, C/C++, Java) At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . #J-18808-Ljbffr

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 - working onsite at our San Francisco office three days per week. 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, with the addition of significant 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. If your expectations fall outside of this range, we still encourage you to apply-our approach to compensation considers a range of factors to ensure alignment with each candidate's unique needs and preferences. 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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A pioneering AI startup in San Francisco is looking for an experienced individual to build infrastructure for deploying personalized AI models. The role demands a strong understanding of machine learning technology and a passion for enabling user-controlled AI solutions. Ideal candidates will thrive in fast-paced environments and contribute to impactful AI development. The company offers competitive compensation, equity, and a significant role in shaping the future of AI. #J-18808-Ljbffr

A leading AI research company in New York seeks a Machine Learning Systems Engineer to build cutting-edge systems for training AI models. This role involves developing critical algorithms, improving system performance, and collaborating with a dynamic research team. Ideal candidates have a strong software engineering background and care about the societal impacts of AI technology. The expected salary range is $300,000 - $405,000 USD, with a hybrid work policy requiring 25% in-office presence. #J-18808-Ljbffr

Role As a distributed systems engineer, you'll work across the stack to solve problems as they come up and help build Archil volumes. You'll have significant influence over the technical and product direction. We'll expect you to be able to: Be oncall for a production system to help our customers if anything goes wrong. Build out never-before-seen capabilities in a storage service Design distributed systems interactions for atomicity and idempotency Deploy infrastructure and generalize infrastructure across different clouds Operate through changing customer requirements with lots of ambiguity Who are you? You have 3+ years of experience building and operating distributed systems (flexible). Ideally, you've worked at a startup before, so you know how chaotic this time can be. You've successfully resolved disagreements at work before, and you understand that the highest priority is helping our customers - not being right. You're comfortable debugging problems that occur as a result of failures in multiple, different systems, using tools like metrics and logs. You've been paged at 3am to solve a complex production issue before. You're knowledgeable about distributed systems: you get how consensus works, you know how to scale systems, and you know what pitfalls in API design to avoid. You're familiar with how to optimize the performance of a system, including a general sense of how much latency different operations take, and what kind of bottlenecks could lead to a reduction in potential throughput. Most of all, you know how computers work from the silicon up. Someone once asked you in an interview “what happens when you go to Google.com”, and there wasn't enough time in the interview to talk about all of the steps. Why join us? By building the highest-performance, simplest storage product in the cloud, we have a great chance of changing how the world builds the next-generation of applications (and with AI, more applications will be written in the next 5 years than ever before). We'd love for your to be a part of our journey. How to join? Show us that you're knowledgeable about the space that we're working in on your application. It's up to you how you do this, but one potential way is by answering one of the following questions: How do you think our system works? What do you think our biggest technical challenge is? What would make our system not work? About Archil Archil is on a mission to change how developers build applications in the cloud, by building the next, default storage platform in the cloud. Over the past 15 years, S3 has become the default way to store inactive data sets in the cloud, but the next-generation of AI and analytics applications need to actively process more data than ever before. We're solving this problem by building the first Volume storage product that's as fast as EBS, infinitely scaleable like S3, and connects to existing data sets in S3 and other repositories. Our customers choose Archil because this architecture radically simplifies how they think about working with their data (every application becomes stateless, no cold-start latencies, and no need to worry about checkpointing or backup). Hacker News agrees. Hunter, the founder, has 10 years of experience building and operating cloud storage, including helping to launch Amazon's EFS product and working on bleeding-edge storage at Netflix. He started the company after working with hundreds of customers across these roles, and identifying a need for a new kind of storage product. We're fully in-person in San Francisco. If you're also someone interested in distributed systems, completely focused on how to make customers successful, and interested in solving really big technical challenges, we'd love for you to join us. #J-18808-Ljbffr