Senior systems engineer jobs in Bakersfield, CA - 12,074 jobs

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

A technology company in Sunnyvale is seeking a Staff Hardware Systems Engineer to lead the development of system firmware and kernel-level software for high-performance server platforms. The ideal candidate has over 8 years of experience in hardware systems development and strong expertise in BIOS and firmware engineering. You will directly influence the company's future by enhancing hardware compatibility and performance. Competitive compensation and benefits are provided, including stock options. #J-18808-Ljbffr

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

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

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 leading research lab in Sunnyvale is seeking a distributed ML infrastructure engineer to extend and scale training systems. The ideal candidate must have over 5 years of experience in ML systems with strong expertise in distributed training frameworks like DeepSpeed and FSDP. This role offers a competitive salary ranging from $150,000 to $450,000 annually along with comprehensive benefits and amenities. #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

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

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

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

Title: Systems Administrator Job Summary: Under direction from the Sr. Systems Administrator, responsible for organizing, modifying, installing, and supporting Omni's Server and SAN/NAS Data Storage hardware and systems. Installs and administers Servers, Data Storage SAN/NAS Appliances, Software Applications, interfaces, and configuration of operating systems; can also assist in documenting and administering network infrastructure as required. Job Functions: Primary responsibilities include but are not limited to: * Install and administer servers and applications, both virtual, physical, and hosted as applicable to include and EHR environment, and other business critical systems. * Set-up and manage data storage appliances such as SANs and NASs. Configure for maximum performance, back-ups, replication, encryption, and data security. * Monitor and perform maintenance, update, and repair servers and data storage appliances as required. * Administer Microsoft Office 365 systems to include Exchange email, OneDrive, SharePoint, Azure, to include licenses, services health, ADFS, SSO, and security and compliance settings. * Research, recommend, and administer cloud services solutions as required. * Administer manual and automated software deployment, security updates and patches via Microsoft SCCM server, WSUS and other similar tools. * Administer and deploy host computers and monitoring system performance. * Analyze and isolate issues. * Monitor systems to ensure performance and availability to specific groups of users. * Evaluate and modify system's performance, and perform periodic performance reporting to support capacity planning. * Install and manage security certificates for secure computing, external interfaces, and public facing services. * Determine system requirements for applications, users, and systems. * Ensure system and data availability throughout Omni's LAN/WAN infrastructure is on par with technical considerations and application requirements. * Administer user and system accounts, including access permission for network resources, with data security considerations. * Assist in providing system guidance to Helpdesk technicians to assist with their work. * Assist the Sr. Systems Administrator in researching new technologies and prepares written proposals with sound justifications and options. * Assist the Sr. Systems Administrator in overseeing the Data Centers and Data Closets for correct installation, cable management, documentation, maintenance, and organization of server and data storage equipment. * Stays current with technological developments in systems administration technology. * May provide after-hours support as needed. * Performs other job-related work as required. * Adhere to industry best practices and standards Additional Duties: * HIPAA compliance - Responsible for being aware of, and complying with, all HIPAA regulations and requirements. Treats all patient information as confidential. * Compliance - Ensures compliance with all local, state and federal regulations. * Quality Assessment/Quality Improvement - Participate in QA/QI activities and contribute towards the overall performance improvement in the organization. * Information Technology - Required to learn and use the Electronic Health Record and Electronic Practice System and its components, as required by the job functions and highlighted in the Policies and Procedures. These components include NextGen, PMS, QSI and other electronic features, as they are developed and implemented, as applicable to work environment. * All employees will participate in Patient Centered Health Home Model at Omni Family Health. Qualifications: * Education: A high school diploma or the equivalent is required; Bachelor's degree in Computer Science or System Administration or a Vocational System Administrator training certificate are preferred but not required. Degree can be substituted with 3 years of system administration experience servers and data in a full-time professional position. * Experience: Minimum 2 years' full-time experience in server, virtual server, and SAN data storage administration, preferably in a healthcare setting. * Skills: Demonstrates the ability and experience in planning, organizing, and documenting system design and configuration. Communicates effectively both orally and in writing. Establish and maintain cooperative and effective working relationships with others. * Knowledge of: Active Directory, Windows Servers, Virtualization VMWare or Microsoft Hyper-V, backup and recovery, Microsoft Office 365, cloud services, data security, and system monitoring and troubleshooting. * Proficiency with Microsoft Office suite. * Excellent written and oral communication skills. * Must have California Driver license or be able to attain in first 30 days. * Must be able to travel between clinics and Corporate office as required. * Promotes and believes in the OFH mission statement. Responsible To: Sr. Systems Administrator or IT Manager Classification: Full Time Position Exempt

The Office of Space Commerce (OSC) is leading implementation of Space Policy Directive-3 (SPD-3) by transitioning civil and commercial space traffic coordination (STC) responsibilities from the Department of Defense (DoD) to the Department of Commerce. Central to this effort is the Traffic Coordination System for Space (TraCSS), scheduled for production release in January 2026, which will provide spaceflight safety services to global owner/operators. The Senior Systems Engineer will act as a technical and operational bridge between OSC and DoD's space domain awareness (SDA) enterprise, particularly Space Delta 2, the 18th and 19th Space Defense Squadrons, and the S.P.A.C.E. Office at Vandenberg Space Force Base. This individual will help capture operational lessons from the DoD, integrate them into TraCSS design and operations, and support OSC's role as the U.S. civil authority for spaceflight safety. The role requires deep SDA/STC expertise, orbital analysis experience, and leadership in multi-agency technical environments, ensuring TraCSS exceeds the services previously provided by DoD's Space-Track.org by delivering more frequent, higher-fidelity, and on-demand conjunction assessments. Primary Duties: Lead requirements definition, operational concept development, and transition planning for TraCSS. Support agile development, testing, and operational readiness of TraCSS in alignment with OSC's roadmap. Serve as OSC's embedded representative with Space Delta 2/S.P.A.C.E. Office. Translate operational best practices from DoD SDA into actionable requirements for TraCSS. Oversee transition of manual data transfer protocols to automated machine-to-machine (M2M) exchanges using NDPP and Databahn. Document and analyze the mission roles of 18SDS, 19SDS, and Space Delta 2, identifying functions essential for safe and sustainable operations. Ensure TraCSS requirements cover conjunction assessment, launch collision avoidance, re-entry prediction, and integration of commercial data. Contribute to orbital analysis, re-entry prediction, breakup event resolution, and recovery of lost objects, in collaboration with DoD and commercial partners. Support incorporation of commercial sensor networks and cloud-based data architectures into TraCSS operations. Provide technical mentorship to OSC and contractor staff, shaping an operational culture modeled on best practices from Space Force and industry. Develop checklists, SOPs, and training aids to accelerate workforce readiness for TraCSS operations. Required Education/Experience/Skills: Clearance: Active TS/SCI. Education/Experience: Bachelor's degree in engineering, physics, or a related field; minimum 12 years of relevant experience (with at least 7 in SDA/SSA/STC). Technical Expertise: Demonstrated hands-on experience in orbital analysis, space domain awareness, or space traffic coordination. Familiarity with systems such as SPADOC, ASW, ATLAS, SP Tasker, JMS, SGSN, CAVENet, or equivalent orbital data processing tools. Experience with launch tracking, maneuver detection, conjunction assessment, breakup analysis, and re-entry prediction. Integration & Transition Experience: Proven ability to integrate commercial capabilities with DoD/government operations. Leadership: Team leadership, training, and mentorship in high-tempo operational environments. Communication: Exceptional written and verbal communication skills, including preparing technical reports, delivering briefings, and engaging interagency partners. Highly Desired: Experience at 18SDS/19SDS, Space Delta 2, or S.P.A.C.E. Office. Background in commercial space surveillance networks (e.g., Slingshot SGSN, LeoLabs, ExoAnalytic). Published research or conference contributions (e.g., AMOS, ASCEND, IAC) in orbital analysis, debris mitigation, or SDA. Certifications or formal training as Orbital Analyst, Advanced Orbital Analyst, or Senior Orbital Analyst. Demonstrated success leading cross-agency teams and developing training pipelines for orbital analysts. Tools: Proficiency with Linux/Unix, Python, and data analysis tools. Applicants selected will be subject to a government background investigation and may need to meet eligibility requirements. Compensation At GST, we celebrate your contributions. We will provide you with opportunities and choices and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care for full-time employees working 30-plus hours per week. Our recognition awards program acknowledges employees for exceptional performance. Salary at GST is determined by various factors, including but not limited to location, the individual's combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $165,000 to $200,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of the GST total compensation package for employees. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Definitions: If this position is listed as remote or hybrid, you'll periodically work from a company or client site facility. If this position is listed as onsite, you'll work at the client site - in person, or as needed for the specific role. Please note, effective 5/7/2025, that as part of the onboarding process for this position, individuals undergoing identity verification for new PIV card issuance, must present a REAL ID compliant form of identification or an equivalent acceptable form. GST is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. GST provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

Job Type: Officer of Administration Bargaining Unit: Regular/Temporary: Regular End Date if Temporary: Hours Per Week: 35 Salary Range: $103,000 - $113,000 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary The Lamont-Doherty Earth Observatory (LDEO) of Columbia University is seeking a Senior System and Data Engineer for full-time, career opportunity. Reporting to the Director of Research Computing and Campus Infrastructure, the Senior System and Data Engineer will oversee LDEO's portfolio of Research Computing systems - designing and implementing new systems as business needs arise, as well as providing maintenance and operational support for existing systems. The incumbent plays a key role in architecting, designing, developing solutions for LDEO Research Computing goals to implement a hybrid computing infrastructure, on-prem and in the cloud. Help to develop and execute IT and data strategies aligned with overall Research Computing Strategic Plan, and the policies of the institution. Provide administration and support for systems including commercial cloud hosted services and solutions, Linux, among other systems in a virtualized environment. The incumbent will work within the LDEO Information Technology group, and supports research computing and networking needs across the Palisades, NY campus, and beyond. Responsibilities Develop and execute system deployment plans in keeping with the needs of the research groups and the policies of the institution. Design, code, and implement platforms and scripts to meet data analytics and data lifecycle needs of research projects. Provide system administration and support for systems in the commercial cloud hosted services, as well as on-prem virtualized environments. Administer and provide maintenance for server hardware including rackmount servers, storage arrays, and ancillary networking equipment. Test new software versions and participate in standard installation and upgrade methodologies, creating flowcharts, diagrams, and other documentation in the process. Perform daily functions that include user support, operational system tasks, upgrade coordination, and institutional mandates/audits. Ensure the successful resolution of all server & client computing/application problems. Develop, maintain, and disseminate knowledge of best practices to recurring problems. Monitor and create automated reports and/or respond to alerts for hardware and software issues, implementing new monitoring processes as needed. Provide on-going documentation for all configuration and installation work being done and provides regular feedback for any lack of resources and/or knowledge gaps that prevents completion of assigned tasks. Perform related duties as assigned or requested. Minimum Qualifications Bachelor's degree in Computer Science or related field required. Advances degree desirable. Minimum of 4-6 years of related professional experience required. Experienced in installing, configuring, and maintaining operating systems in a Unix environment on bare-metal, virtualized environment, or on major public cloud providers. Experienced in troubleshooting Linux server and operating system issues in a heterogeneous networked computing environment. Working knowledge of Data Lifecycle Management processes. Other Requirements Experience with the following technologies: AWS or GCP, or MS Azure, Virtualized Environment (RHEV), VMWare. Knowledge of managing Hyper Converged Infrastructure for compute servers, data servers, data storage devices, and software deployment with automation and orchestration tools. Familiarity with scripting languages (Perl, BASH), object-oriented programming (Python), markup languages (YML, XML, HTML) Excellent interpersonal and communication skills. Highly technically skilled and administratively organized. Extensive experience working with end users. Demonstrated experience working effectively with diverse user communities including highly skilled programmers, scientists, administrators, vendors, students, support staff, and excellent written and spoken English. Assertive and able to work successfully in a fast-paced work environment. Ability to proactively work on problems of diverse scope. Exhibit tact, analytical, and critical thinking skills. Strong initiative, resourcefulness, and follow-through. Ability to independently research problems and develop solutions. Project management experience, Proven attention to detail, and the ability to prioritize and manage multiple projects while functioning on a team. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents. The Lamont campus values diversity and inclusion, and encourages applications from members of underrepresented minority groups.

Grapevine MSP is the Central Valley's largest managed IT services provider, based in Bakersfield, CA, with a clear mission: help businesses of all sizes thrive through smart, secure, and innovative technology. Founded in 2009 by CEO Joe Gregory during a recession, we've grown into a team of 60+ professionals recognized as an industry leader. We go beyond fixing computers by partnering with our clients to deliver proactive IT support, cybersecurity, cloud, and VoIP solutions, strategic consulting, and 24/7 help desk services. As Microsoft Tier 1 Partners and community supporters, we're known for our “let's figure it out” culture, commitment to customer success, and passion for solving real-world technology challenges. 🚀 Tier 3 Systems Engineer Bakersfield, CA | Full-Time The Role As a Tier 3 Systems Engineer, you are the escalation point, architect, and technical authority. You handle complex tasks, advanced troubleshooting, infrastructure design, project execution, and mentoring junior engineers. This role is for someone who enjoys owning problems end-to-end and making environments better than they found them. What You'll Do Serve as the top-tier escalation for complex technical issues Design, implement, and maintain enterprise-level infrastructure Lead and execute IT projects (on-prem, cloud, hybrid) Troubleshoot advanced network, server, and security issues Work directly with clients on architecture, planning, and strategy Mentor Tier 1 & Tier 2 engineers and raise the technical bar Document solutions and improve standards and processes Requirements 5+ years of hands-on IT experience (MSP experience strongly preferred) Advanced knowledge of Windows Server, Active Directory, and Azure Strong networking skills (firewalls, switching, routing, VPNs) Experience with Microsoft 365, security best practices, and backups Proven ability to troubleshoot under pressure without panic Excellent communication skills (you can explain complex tech clearly) Certifications (Microsoft, Cisco, Fortinet, etc.) are a plus Why Grapevine MSP Work with a skilled team that values doing things the right way Exposure to diverse environments and real technical challenges Leadership that listens and invests in your growth The Bottom Line If you're a seasoned engineer who wants more than ticket-chasing and you're ready to lead, build, and solve at a higher level, this is your seat at the table. 👉 Apply now and help us keep businesses moving forward. Benefits 401K Plan with matching pay contributions Grapevine MSP offers access to low-cost, high-quality healthcare options, "Health, Dental, and Vision." Tools for the job Room for growth Vacation time Paid Sick Time Work Anniversary Recognition Team Events & Social Events A culture built on ownership, accountability, and a “let's figure it out together attitude.”

Bi-Weekly Salary: Level I: $2,798.50 - $3,344.47 ; Level II: $2,941.61 - $3,515.50 EXAMINATION SCHEDULE: Qualified candidates will be notified of the testing date five days prior to the examination. Examinations: Written Exam (Weight 100%): will be conducted for the purpose of assessing the applicant's knowledge of the procedures and techniques used in the installation, configuration, support troubleshooting and repair of applicable operating systems, server and storage related equipment, software applications, other IT hardware and peripherals; network and security concepts; basic network administration; Directory Services, such as Active Directory; general principles of office automation, and computer systems analysis; techniques to evaluate customers' needs and requirements and identify possible business solutions. The Human Resources Division may solely conduct an appraisal of application materials should there be an insufficient number of candidates to warrant a written examination. Applicants must attain at least a 70% score on each phase of the examination process. This position works in various departments throughout Kern County. Minimum Qualifications/Employment Standards: Level I: Graduation from an accredited college or university with a bachelor's degree, including 15 semester (25 quarter) units in computer science or management information systems AND one (1) year of paid experience in a complex IT environment utilizing principles and techniques which include system support, troubleshooting and resolution of network problems, managing or coordinating the data processing operations for a department or organization. OR Completion of (60) semester (90) quarter units from an accredited college or university with course work in computer science or management information systems AND three (3) years of paid experience, one (1) of which must have been in a complex IT environment utilizing principles and techniques which include system support, troubleshooting and resolution of network problems, managing or coordinating the data processing operations for a department or organization. OR Completion of an accredited trade or vocational school training program in computer repair, computer science or information systems AND three (3) years paid experience, one (1) of which must have been in a complex IT environment utilizing principles and techniques which include system support, troubleshooting and resolution of network problems, managing or coordinating the data processing operations for a department or organization. OR Two (2) years of experience as a Technical Support Specialist III in the Kern County classification systems. OR Five (5) years of experience, three (3) of which must have been in a complex IT environment utilizing principles and techniques which include system support, troubleshooting and resolution of network problems, managing or coordinating the data processing operations for a department or organization. Level II Graduation from an accredited college or university with a bachelor's degree, including 15 semester (25 quarter) units in computer science or management information systems AND two (2) years of paid experience, one (1) of which must have been paid experience in a complex IT environment utilizing principles and techniques which include system support, troubleshooting and resolution of network problems, managing or coordinating the data processing operations for a department or organization. OR Completion of (60) semester (90) quarter units from an accredited college or university with course work in computer science or management information systems AND four (4) years of paid experience, two (2) of which must have been in a complex IT environment utilizing principles and techniques which include system support, troubleshooting and resolution of network problems, managing or coordinating the data processing operations for a department or organization. OR Completion of an accredited trade or vocational school training program in computer repair, computer science or information systems AND four (4) years of paid experience, two (2) of which must have been in a complex IT environment utilizing principles and techniques which include system support, troubleshooting and resolution of network problems, managing or coordinating the data processing operations for a department or organization. OR Two (2) years of experience as a Technical Support Engineer I in the Kern County classification systems. OR Six (6) years of experience, four (4) of which must have been in a complex IT environment utilizing principles and techniques which include system support, troubleshooting and resolution of network problems, managing or coordinating the data processing operations for a department or organization. * Applicants qualifying based upon education, must attach a copy of their transcripts to this application. If you are unable to attach them to this application, you may e-mail them to ****************************** or deliver them to the Human Resources Division at 1115 Truxtun Ave. First Floor, Bakersfield, CA 93301. Full Job Description: Technical Support Engineer I/II Kern County employees provide opportunities that are purposeful to our community. Every employee and every action contributes to the improvement and strengthening of our county. To learn more about Kern County, click here or follow us: Growth Mindset We always encourage our employees to grow and develop. Kern County has a culture of innovation that allows employees to explore creative and more efficient ways to accomplish their work. We provide access to training and continued professional development in an effort to ensure that our employees have opportunities for career growth. Admittance to the examination will require a valid government issued photograph identification. Applicants who are unable to present proper identification must make arrangements with the Human Resources Division prior to the test date. A background check may be conducted for this classification. Following an offer of employment, you may be required to submit to post offer medical and drug screening tests at County expense. This examination will establish an eligible list from which immediate appointment(s) will be made. Other permanent and temporary appointments will be made as needed. Successful candidates will remain on the eligible list for a period of twelve-months, unless specified otherwise by the Civil Service Commission. For more information regarding Kern County's recruitment process, please see our FAQ page. Kern County is an ADA compliant and an equal opportunity employer and encourages all qualified individuals from diverse backgrounds to apply.

Senior Cybersecurity Engineer Kern Medical has been a community cornerstone since its founding in 1867. Today, we are an acute care teaching center with 222 beds, offering the only advanced trauma care between Fresno and Los Angeles. Kern Medical cares for 15,500 inpatients and 125,000 clinic patients a year. Career Opportunities within Kern Medical include many benefits such as: New Hire Premium: +6% of base rate of pay, matched up to 6% if contributed to Deferred Compensation Plan. A Comprehensive Benefits Package: includes Holidays, Paid Time Off, Retirement, Medical, Dental, Vision and Life Insurance Compensation The estimated hourly pay for this position is $48.9740 to $60.2319 . The rates shown include a 6% premium pay (base= $-$ plus 6%). This reflects only a portion of the total compensation package for this position. Additional compensation may be available for this role through differentials, incentives, and bonuses. In addition, this position may be eligible for participation and company contributions into the Kern County Employees' Retirement Plan. Definition: Under general supervision, the Senior Cybersecurity Engineer will oversee and assist in the continuous monitoring of enterprise environment assets, analyzing threats, mitigating vulnerabilities, detecting compromises, and conducting incident response. The position is also responsible for the design, configuration, implementation, and ongoing support of our enterprise security tools. Distinguishing Characteristics: This position plays a vital role in safeguarding the organization's digital assets and maintaining a secure IT environment. They must stay current with emerging threats and continuously adapt their strategy to protect against cyber risks. The Sr Cybersecurity Engineer must possess extensive professional work experience and knowledge in implementing enterprise security best practices including encryption, implicit and explicit permissions, multi-factor authentication, auditing and digital forensics, and data retention; understanding network and encryption protocols; understanding and applying network security concepts and troubleshooting enterprise firewalls. Essential Functions: Develops and executes a comprehensive cyber security strategy in alignment with the organization's business goals and industry best practices. Regularly assesses and updates the strategy to address evolving threats. Ensures the service ability and integrity of Security Operations Center (SOC) equipment and tools Serves as the subject matter expert on security systems, including but not limited to SIEM (Security Information and Event Management), SOAR (security orchestration, automation, and response), EDR (Endpoint, detection and response), IAM (Identity and Access Management), PAM (Privileged Access Management), Intrusion Prevention System/Intrusion Detection System, Web Proxy Firewall, DLP (Data Loss Prevention), Email Security, and WAP (Wireless Application Protocol), and provides technical leadership on their day-to-day operation, as well as enhancements to the toolset. Participates and leads the efforts of cybersecurity analysts on the day-to-day operation of the Security Operations Center (SOC). Performs threat hunting activities including analysis of threat intelligence, detection and evaluation of Indicators of Compromise (IOC), and escalation of incidents Evaluates vendor solutions, makes recommendations, and leads projects for deployment and/or enhancement of security systems Participates in the incident response team and execute the Incident Response Plan and cyber incident playbooks Reviews cybersecurity requests against normal operational security processes and provide approval or escalation Supports Security Operations Center (SOC) efforts in digital forensics and eDiscovery Liaises with other departments on operational security matters, requests, and problems Maintains documentation on tools, processes, procedures, and playbooks Other job duties as assigned Employment Standards: Bachelor's degree in information Computer Sciences, Information Computer Technology, Information Systems, or in a closely related field or equivalent experience AND Five (5) plus years of professional work experience in IT and 3 years within cybersecurity Additional Preferred Standards Knowledge of IAM (Identity Access Management) and PAM (Privileged Access Management) CompTIA Security+, CompTIA Cybersecurity Analyst ( CySA +), Systems Security Certified Practitioner (SSCP) or equivalent certifications Knowledge of Health Insurance Portability and Accountability Act (HHIPAA), Health Information Technology for Economic and Clinical Health Act (HITECH), Sarbanes-Oxley Act (SOX), and other compliance requirements related to information security. Previous experience in an acute Healthcare organization. Knowledge of: Understanding the NIST 800-53 framework and application of its controls in operational security Installing, configuring, and supporting all varieties of Microsoft Windows Services and platforms in an enterprise environment Proficiency in scripting languages and PowerShell Implementing enterprise security best practices including encryption, implicit and explicit permissions, multi-factor authentication, auditing and digital forensics, and data retention Understanding network protocols, routing and switching, LAN/WAN, remote access, and encryption protocols Understanding and applying network security concepts and troubleshooting enterprise firewalls, Intrusion Detection System (IDS)/Intrusion Protection System (IPS), Domain Name System (DNS) Security, and Web Application Firewall (WAF) Microsoft Office365, Azure Cloud, Microsoft Cloud App Security, and related security concepts Supporting email routing and messaging systems, email security gateways, and email encryption Intimate knowledge of security tools such as SIEM, SOAR, EDR, DLP, and Web Filter/Proxy Principles and practices of supervision, team building and leadership Working with other public and private agencies in efforts to provide information technology-specific customer service to the community, public and key stakeholders Generating a consensus and collaborative relationships to bring about efficient and effective outcomes Ability to: Communicate professionally, both written and orally, including technical documentation Identify and resolve challenging technical issues and problems or research possible solutions Use exceptional analytical skills and work under pressure Respond quickly, courteously, and proficiently to customer service requests Solicit feedback and adjusting customer requests to fit into business improvements Develop, maintain and update well written procedural documents Supplemental: Dependent upon assignment, applicants may be required to pass an extensive background investigation, and be fingerprinted. Disqualification for felony, misdemeanor, and traffic offenses will be assessed on a case-by-case basis. All Kern Medical employees are designated “Disaster Service Workers” through state and local laws (CA Government Code Sec. 3100-3109 and Ordinance Code Title 2 - Administration, Ch. 2.66 Emergency Services.) As Disaster Service Workers, all county employees are expected to remain at work, or to report for work as soon as practicable following a significant emergency or disaster. If position responsibilities require driving a personal vehicle, then possession of a current valid California Driver's License and adherence to the Kern County Hospital Authority Vehicle Use and Driving Standard Policy (ENG-EC-119) is required. If position responsibilities require driving a vehicle owned, leased or rented by Kern Medical, then possession of a current valid California Driver's license, a signed authorization for Release of Drivers Record Information and adherence to the Kern County Hospital Authority Vehicle Use and Driving Standard Policy (ENG-EC-119) is required.

A technology company in Sunnyvale is seeking a Staff Hardware Systems Engineer to lead the development of system firmware and kernel-level software for high-performance server platforms. The ideal candidate has over 8 years of experience in hardware systems development and strong expertise in BIOS and firmware engineering. You will directly influence the company's future by enhancing hardware compatibility and performance. Competitive compensation and benefits are provided, including stock options. #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