Systems Administrator jobs at VisionIT - 1432 jobs

We are seeking a highly skilled Sr. Workday Administrator to join us in person in Scottsdale, AZ. This role will support the design, configuration, and optimization of our Workday platform across multiple modules, including Core HCM, Advanced Compensation, Benefits, Absence, Recruiting, Performance Management, and Learning. In this role, you will serve as a trusted consultant and system expert, partnering with functional leaders and stakeholders to identify opportunities, implement advanced solutions, and enhance the employee experience. You will play a critical role in shaping the future of our Workday ecosystem by leading complex technical configurations, driving process improvements, and ensuring the system evolves to meet changing business needs. Acting as the primary expert for Workday enhancements, you will proactively evaluate system performance, analyze data and integrations, and stay ahead of Workday product releases to leverage new features and capabilities. This position requires a strategic mindset, technical expertise, and the ability to collaborate across teams to deliver impactful, scalable HR technology solutions. Key Responsibilities: Lead the design and implementation of advanced configurations across multiple Workday modules, including but not limited to Core HCM, Advanced Compensation, Benefits, Absence, Recruiting, Performance Management and Learning. Serve as a key consultant and system expert, providing strategic solutions via exceptional communication to internal stakeholders Act as the primary technical expert for future Workday improvements, collaborating with cross-functional teams to gather requirements and provide solutions for complex business challenges. Identify areas of improvement by proactively analyzing Workday reports, processes, applications, integrations, and user interfaces to drive continuous improvement and optimize business processes to meet evolving business needs Remain knowledgeable of the Workday roadmap and upcoming product releases, reviewing release notes, assessing new features and understanding the impacts to business processes and basic changes in functionality. Qualifications: 4-5 years of Workday Configuration experience. Exceptional communication and interpersonal skills, capable of working independently and collaboratively within a team environment. Strong problem-solving and analytical skills with the ability to translate business needs into technical solutions.

A leading financial technology company is seeking a Talent Acquisition Manager to lead hiring for the TurboTax Live Expert Network. This role involves strategizing high-volume, seasonal hiring of tax experts across various locations. Responsibilities include managing a global team, collaborating with leadership to meet talent needs, and utilizing data-driven insights. The position offers competitive compensation, including cash bonuses and equity rewards, with expected salaries ranging from $199,000 to $269,500 in the Bay Area. #J-18808-Ljbffr

Sunnyvale, California, United States Machine Learning and AI Want to ship amazing experiences in Apple products? Be part of the team in the Video Computer Vision (VCV) organization that focuses on people understanding from real-time video streams and building higher level reasoning algorithms. VCV delivered features such as Face ID, RoomPlan as well as many other computer vision algorithms powering Apple Vision Pro, iPhone, and iPad. We focus on a balance of research and development to deliver Apple quality, pioneering experiences. Come shape Apple products as a driven and dedicated ML Infrastructure and Data Engineer to push the limits of ML algorithms with hands‑on work and real world and simulated data, in an innovative team and be part of building the next big thing. Description As part of the Video Computer Vision (VCV) team, you will help us create the data and infrastructure ecosystem needed to support our ML development and continuously improve our features. We take full end-to-end ownership of our services and data products, driving them through every stage meticulously, encompassing conception, design, implementation, deployment, and maintenance. As a result, each one of us takes our responsibilities seriously. In this team, you'll have the opportunity to work on complex problems in close partnership with our ML engineers, data scientists and software integration teams. Minimum Qualifications Bachelor's degree in Computer Science or related discipline, and 2 years relevant industry experience. Strong foundational knowledge in Computer Science. Extensive programming experience in Python. Hands‑on experience with cloud providers (AWS, GCP, or Azure). Strong understanding of core infrastructure concepts (e.g., compute, networking, storage, containers, Kubernetes). Preferred Qualifications Experience with machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment. Proficiency with cloud computing and distributed data processing infrastructure and tools (e.g., Ray, Spark, Trino). Hands‑on experience with CI/CD pipelines and practices. Familiarity with Infrastructure as Code (IaC) tools (e.g. Terraform, Pulumi, or CloudFormation). Experience building on LLMs or other generative models. Ability to drive projects from concept to production, balancing business needs with technical quality and timely delivery. Excellent communication skills, ability to work both independently and multi‑functionally. 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 $147,400 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 . Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

The Aerospace Corporation is the trusted partner to the nation's space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC), we are broadly engaged across all aspects of space- delivering innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers. When you join our team, you'll be part of a special collection of problem solvers, thought leaders, and innovators. Join us and take your place in space. At the Mission Payloads Division (MPD), we are pioneers in remote sensing systems that guide badges the country's space enterprise. Our talented and dynamic people create and flourish in electronics, sensors ILogger, radar, artificial intelligence (AI), and advanced data network domains. We boldly advance technology through our research and development and then forward to demonstration and integration. With innovative laboratories and prototyping, MPD delivers groundbreaking results. We guide our Department of Defense, intelligence community, and civil clients to enhance national productivity and security and tackle the most critical missions. Bring your intelligence and creative spirit and join us at MPD! We are seeking a Associate Director to support co‑leading the Communication Payload, Command, & Telemetry Department (CPCTD), a nation‑wide team of experts shaping the future of communication and navigation payloads. CPCTD provides “cradle‑to‑grave” communications and navigation payload systems engineering support, including rapid concept design studies, requirements and CONOPs development; integration and test support; performance assessment and requirements verification; and on‑orbit satellite support. Reliable and affordable high‑performance communications systems are fundamental to the success of both current and next‑generation space architectures, and CPCTD plays an essential role in helping make those systems a reality. This role provides organizational and technical leadership in communication systems engineering. You will have an opportunity to grow and shape the department's support across the rapidly evolving space enterprise, build relationships with a broad set of customers, and coordinate with a diverse set of communication and remote sensing domain experts within MPD. Work Model The selected candidate will be required to work full time on-site at our facility in El Segundo, CA. What You'll Be Doing Assist Department Director with day‑to‑day tasks aimed at performance management, corporate reporting, resource allocation, laboratory resource management, and more. Co‑lead a team of 20+ engineers dedicated to providing communication and navigation payload systems engineering support, technologymol development, and mission assurance across the DoD and IC space enterprises. Implement high-impact strategies that exceed our customer needs, foster innovation, and deliver transformative solutions. Drive the future of CPCTD by developing top engineering talent and expanding technical capabilities to ensure our team stays ahead of advancements. Identify and capture new business opportunities that position our organization as a leader in the industry. Build and lead high-impact cross‑functional teams, aligning expertise with project needs and driving collaborative solutions. Ensure quality assurance of department staff work products. What You Need to be Successful - Associate Director Minimum Requirements: Bachelor's degree in a STEM‑related field. Minimum of 12 years of experience in communication and/or telemetry & command (T&C) system engineering supporting SSC and/or NRO program. Knowledgeable technical expertise in the design, build, integration and/or test of communication and navigation payloads. Demonstrated ability to guide teams in a dynamic environment, adapting to shifting priorities and ensuring alignment with customer needs. Commitment to maintaining a customer‑focused approach, navigating challenges with creativity and collaboration, and communicating clearly and effectively across diverse formats/audiences. Willingness to.Drawable traveling domestically approximately 10‑15 % of the time. Active Top Secret/SCI security clearance. How You Can Stand Out Advanced degree in electrical engineering, related engineering or physics discipline with an emphasis on wireless communications and RF. Active SAP security clearance. 12+ years of experience in communications systems or related technologies. Program office experience.Prior experience managing and developing high-performing technical teams. Space systems acquisition experience, preferably in a customer‑facing role. Proven ability to grow and maintain a healthy organizational алғашқы culture and foster a supportive, collaborative environment. We offer a competitive compensation package where you'll be rewarded based on your performance and recognized for the value you bring to our business. The grade‑based pay range for this job is listed below. (Min - Max) $185,100.00 - $277,600.00 Pay Basis: Annual Leadership Competencies Operate Strategically Lead Change Engage with Impact Foster Innovation Deliver Results Ways We Reward Our Employees During your interview process, our team will provide details of our industry‑leading benefits. Benefits vary and are applicable based on Job Type. A few highlights include: Comprehensive health care and wellness plans Paid holidays, sick time, and vacation Standard and alternate work schedules, including telework options 401(k) Plan - Employees receive a total company‑paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire Flexible spending accounts Variable pay program for exceptional contributions Relocation assistance !!! loan? (minus oversight) professional growth and development programs to help advance your career Education assistance programs An inclusive work environment built on teamwork, nuair flex, and respect We are all unique, from various backgrounds and all walks of life, yet one thing bonds all of us to each other-the belief that we can make a difference. This core belief empowers us to do our best work at The Aerospace Corporation. Equal Opportunity Commitment The Aerospace Corporation is an equal‑opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, age, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity or expression, color, religion, genetic information, marital status, ancestry, national origin, protected veteran status, physical disability, medical condition, mental disability, disability status, and any other characteristic protected by state or federal law. If you're an individual with a disability or a disabled veteran who needs assistance using our online job search and application tools or needs reasonable accommodation to complete the job application process, please contact us by phone at ************ or by email at ******************************. You can also review Know Your Rights: Workplace Discrimination is Illegal. #J-18808-Ljbffr

Amazon Leo is Amazon's low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we've designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity. We are hiring a Sr. System Development Engineer to develop and integrate hardware and software for satellite production manufacturing. This is a highly collaborative position that interfaces with Project Kuiper production, engineering, and IT infrastructure teams. Key Job Responsibilities Manufacturing automation development: develop automated manufacturing applications in the Kuiper SCADA ecosystem. Ownership and collaboration: learn and address business needs, generate requirements collaboratively, document and collect customer feedback on the design, then implement and iterate. Serve as a single‑threaded owner, responsible for delivering functioning applications to production, providing startup support, and participating in an on‑call rotation for production downtime escalations. Security and compliance: produce system architecture and design documents for end‑user, front‑line support, and security reviews. Ensure that system integrations comply with internal IT and Security standards, with code that is well‑documented and version‑controlled. Export Control Requirement Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. A Day in the Life This is a fast‑paced, intellectually challenging position. You will work with leaders in multiple technology areas across Amazon Leo to define and develop automation systems to meet the program needs. You'll also be responsible for project management, cost estimates and scheduling. You'll have relentlessly high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your product's performance, quality and cost. We want individuals who are ready for this challenge and want to reach beyond what is possible today. About the Team The Ground Support Equipment (GSE) team is responsible for designing and commissioning automation and tooling for Amazon Leo production. This in‑house team of engineers works directly with satellite designers, production teams, and manufacturing engineers to solve unique problems in high‑volume satellite production. Basic Qualifications Experience leading the design, automation, deployment, and support of large‑scale infrastructure. Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust. Experience with Linux/Unix. Experience with CI/CD pipelines build processes. Experience defining system architectures and exploring technical feasibility tradeoffs. Experience in mentoring, leading, or managing more junior engineers. Experience writing technical documents, project plans and progress reports to leadership and to stakeholders. Preferred Qualifications Experience with distributed systems at scale. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site. #J-18808-Ljbffr

A leading aerospace and defense company in San Diego is seeking a Principal OR Sr. Principal Electronics Engineer to develop revolutionary ground system solutions. This role requires a bachelor's degree in a STEM field with significant engineering experience, and an active DoD Secret clearance is mandatory. The position will primarily be on-site, with a possible hybrid model in the future. The estimated salary ranges from $114,000 to $171,000, based on experience and qualifications. #J-18808-Ljbffr

A leading technology company is seeking a Machine Learning Engineer to join their team in San Francisco. This role focuses on building scalable ML pipelines for speech technologies, integrating new model architectures, and collaborating across teams. The ideal candidate has a strong software engineering background, particularly in Python, and experience in developing ML systems. Excellent communication skills and relevant academic qualifications are required. Attractive compensation and benefits package offered. #J-18808-Ljbffr

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

San Diego, California, United States Software and Services Imagine what you could do here. At Apple, extraordinary ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.Apple is looking for a talented and energetic software engineer for the Core Networking team to lead and participate in the architecture and development of next generation networking technologies. The team is responsible for designing and enhancing the operating system networking components across Apple's range of products including all iOS, mac OS, watch OS, tv OS and vision OS based products.In this role, you will design and develop innovative systems firmware to enable TCP/IP Networking on a co-processor so that Networking connectivity is provided in a very power and thermal efficient manner. This capability forms the bedrock of Apple's next generation of technologies and allows Apple to provide new user experiences and refresh its device roadmap. You will be a mentor to the junior members of the team and will have the opportunity to lead cross-functional design. The ideal candidate should possess an excellent conceptual understanding and working knowledge of TCP/IP and related networking technologies, excellent system level architectural thinking along with low-level firmware programming skills, excellent communication and leadership skills, and the ability to work in a fast-paced environment. Description The candidate needs to be able to work in a fast paced environment, operate gracefully under stress, balance multiple assignments in parallel, and be self driven to be effective in an environment with little overhead. The candidate also needs to show initiative, be able to take ownership of a problem area, and demonstrate an ability to understand the role of the group's technology in the larger context of the product and network environment. The position has cross- functional aspects and the candidate will need to show excellent interpersonal and communication skills. Minimum Qualifications BS in Computer Science, Electrical Engineering or equivalent networking software development experience At least 5+ years of real time embedded software (firmware) development experience (design and implementation) Proficiency in C or C++ on resource-constrained embedded platforms Preferred Qualifications Experience with Embedded Operating Systems or Micro Kernels (Embedded Linux, QNX, VxWorks, L4 etc.) Experience with Networking stack implementations (BSD, Linux/ Android, Solaris, lw IP, sevenstax, mbed TLS etc.) Familiarity with link-layer technologies (Ethernet, Wi‑Fi, Cellular etc.) 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 $139,500 and $258,100, 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 . Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

A technology industry leader in California is seeking a Product Definition Engineer to evaluate and optimize pre-production silicon. The successful candidate will work with multi-functional teams, driving new feature initiatives and designing performance-critical product features. Ideal candidates will have significant engineering experience and collaborative skills. The role offers a salary range of 168,000 - 264,500 USD depending on level, alongside equity and benefits. #J-18808-Ljbffr

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry‑leading developer data platform, MongoDB Atlas, is the only globally distributed, multi‑cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere-on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next‑generation, AI‑powered applications. About the Team The Atlas Data Federation and Archiving (ADFA) Storage Systems team is at the heart of MongoDB's data tiering and archiving solutions. It owns the systems that move customer data from database clusters to cloud storage, enabling users to seamlessly tier their data to optimize cost and performance. This team is responsible for the complete Online Archive data pipeline, from the archive agents and worker ingestion systems to a petabyte‑scale storage system. The team is embarking on a mission to build a next‑generation, single‑tenant archival solution for MongoDB's largest and most sophisticated enterprise customers. About the Role This is a critical role that combines people management with deep technical expertise to solve complex distributed systems problems at scale. As the Lead Engineer for the ADFA Storage Systems team, you will: Lead a team of 5-8 engineers (currently 6) building the next generation of MongoDB's archival infrastructure Be a hands‑on technical leader, with significant IC time spanning coding, architecture, and technical reviews Mentor and guide your team members, fostering their technical growth and career development Collaborate with product management and peers on the archival product roadmap Drive incident response and postmortems for production storage systems We are hiring for this position in our New York, Bay Area, or Seattle offices, with two hybrid working models: in‑office (3‑5 days/week) or flexible (1‑2 days/week). Note: The position entails participating in a 24/7 support rotation approximately 1 week every 2 months. Our Management Philosophy We believe in high standards with high support. That means: Direct feedback delivered with genuine investment in people's growth Regular 1:1s that go beyond status updates-career development, skill building, honest assessment Willingness to have uncomfortable conversations early rather than letting issues fester Making tough calls (performance, scope, priorities) while bringing the team along If this resonates, we want to talk. Candidates must have: Experience leading engineering teams building and operating production systems 5+ years software engineering experience, primarily in backend/distributed systems Comfort with 24/7 on‑call rotation responsibilities The ideal candidate would have: Hands‑on experience with petabyte‑scale data infrastructure or storage systems Experience building team consensus on architectural decisions across multiple engineering orgs Production Go or similar systems language experience Familiarity with cloud storage primitives (S3, GCS, Azure Blob) But we're equally interested in candidates who: Come from adjacent domains (databases, data processing, cloud infrastructure) and want to dive deep into storage Have strong fundamentals but haven't worked at this specific scale yet Bring diverse technical backgrounds that challenge our assumptions What matters most: Technical judgment, ability to mentor engineers, and appetite for tackling novel problems in data archiving at scale. MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. MongoDB's base salary range for this role in the U.S. is: $137,000 - $270,000 USD #J-18808-Ljbffr

Apply info_outline X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Sunnyvale, CA, USA. Bachelor's degree or equivalent practical experience. 2 years of experience with coding in C++, Python and g3Python. Preferred qualifications Master's degree or PhD in Computer Science, or a related technical field. 2 years of experience in software architecture. 2 years of experience in customer engagement. 2 years of experience in project execution. About the job Hydra is the next generation storage system for ML post-training data. The system is currently used mainly by Gemini and growing rapidly. It powers major Gemini tools such as Gemini Data Studio, Gemini Atlas Leaderboard, and critical OneRecipe/Gemini researcher workflows. Gemini and Google AI research are evolving very fast, which translates to exponentially increasing data sizes and rapidly evolving user requirements. We are working on improving the performance and reliability of the existing Critical User Journeys (CUJs) to speed up Gemini AI research, supporting new features to meet new AI research requirements, refining Hydra APIs and data models to allow rapidly increasing data sizes, designing the system in extensible ways for faster introduction of new features and reduction in development churn, etc. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities Improve Hydra's read/query/write patterns throughout its storage layer and serving stack. This includes analyzing Spanner hotspotting/lock contention/resource usage/issues, improving Hydra's Spanner/Lightning schema design, improving Hydra's Spanner/F1 queries, supporting new features in F1 Query (e.g., full-text search predicate pushdown) for Hydra's use cases, etc. Implement data isolation models to allow Hydra to be used by all Google Product Areas for their post training needs. Collaborate with various DeepMind/CoreML/CloudML/Search teams and AI researchers to gather requirements for feature development and performance optimization. Implement new features to meet rapidly evolving Google AI research needs. For instance, Hydra is currently working on better supporting ML model eval, LLM distillation, semantic search, etc. Improve extensibility of the system by leveraging technologies such as Spanner remote Universal Dashboard Framework (UDF). Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

12-Month W2 Contract (No C2C/No Student Sponsorship/No Visa Sponsorship) Onsite 5x per week in Thousand Oaks, CA Pay up to $45/hr. W2. Milestone is seeking to engage a Specialist IS Business Systems Analyst with windows administration expertise to join our Enterprise Benchtop Services team for a minimum of a 1-year assignment. The position will perform Windows System Administration for laboratory-based computer systems used to control laboratory instruments (instrument controllers). The IS Analysts will work closely with scientific functional groups to install, configure, test, maintain, and troubleshoot lab workstation hardware and software. The role will also work on general lab IT system problem tickets as reported by lab scientists. Service will typically be provided during normal business hours between 8:00 am to 5:00 pm Monday -Friday, excluding Holidays and Shutdowns. However, some work may be required to be performed before or after these hours. Top Must-Have Skill Sets: 5+ years' experience with Windows Desktop administration Windows Operating systems - Win10, Win11, Windows Server Service Now Experience SCCM Experience PC/Laptop Hardware maintenance Software/Hardware troubleshooting Networking skills - TCP/IP, Windows Domains, Network configurations Excellent communication, customer relations and problem-solving Ability to work autonomously with follow-through to completion and documentation Organizational skills sufficient to multi-task in an extremely fast-paced environment with changing priorities. Excellent customer service skills Ability to lift 40 lbs. Responsibilities: Lab Data Remediation: Configure data management software to automate movement of data from lab instrument computer systems to Amgen enterprise file shares. General Ticket Resolution via ServiceNow: Actively respond to incidents and requests for all laboratory software and systems. Perform system administration of both local and enterprise laboratory software and systems including: user account management, licensing management, Tier 1 incident response and troubleshooting. Documentation: Use ServiceNow to track service requests and/or escalate issues when necessary and to keep asset inventory up-to-date. Physically inventory laboratory computers and reconcile with laboratory inventory system Support corporate deployments of anti-virus, software patches to laboratory computers Partner with Instrument vendors on system requirements, setups and configurations for new systems as well as upgrades to existing systems. Preferred: Experience in a QC and validations environment GXP/GLP Experience Validations Experience Any experience with development and/or maintaining administration tools for the Digital Lab Solutions is a plus (PowerShell, C#, Python, SQL) Experience with administration of LIMS, ELN, and Waters systems Experience with ITIL Experience working in a GxP/GMP environment Experience supporting/troubleshooting laboratory systems such as HPLCs, Mass Specs and various other lab instruments Scripting - PowerShell, Batch, Python Advance IT Certifications (A+, MCSE, CompTIA+, etc) Education: Bachelors degree or equivalent amount of professional experience The estimated pay range for this position is USD $40.00/Hr - USD $45.00/Hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process

About the Team The Industrial Compute team builds and operates the infrastructure behind OpenAI's research and products. We design for scale, performance, and adaptability-bridging physical and logical layers so frontier workloads run efficiently across a global footprint. In recent months, this team enabled large scale compute systems, built foundational network infrastructure, partnered with engineering to unlock major compute expansions, and worked with compute, inference, and storage systems engineering to materially lower serving cost while improving performance. Our mandate spans power, compute, network, manufacturing and assembly, operations, scheduling and orchestration, and the broader ecosystem to enable OpenAI's next generation of systems. About the Role Your charter: deliver step-function improvements in cost, capability, capacity, reliability, and time-to-ready across OpenAI's infrastructure and compute platform. You'll take on high-leverage initiatives spanning compute, storage, networking, and systems-cut through complexity quickly, pinpoint leverage points, make clear calls, and drive the changes needed to unlock scale. You'll work fluidly across teams-engineering, capacity planning, research, infra, product, finance, and business development-to align the technical, operational, and commercial pieces needed to make these bets real. Some workstreams will be strategic and industry-shifting; others will be tactical so we can ship systems sooner than otherwise possible. Near-term focus may include optimizing storage direction and rollout, improving accelerator utilization, advancing interconnect approaches to lower latency and cost, and accelerating site readiness. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role you will: Own cross-stack programs end-to-end: define the problem, design the approach, prove it quickly, and carry the result into production. Drive rapid clarity on goals, criteria, risks, metrics for complex technical problems without adding heavy process. Work closely with engineering, operations, and (when needed) finance, research, product, and external vendors to align decisions and deliver useful infrastructure at massive scale. Own outcomes end-to-end, and move fast to validate approaches-using bounded pilots when useful-while balancing total cost, performance, and operability. Collaborate with engineering to incubate and execute on the technical decisions that unlock scale. You might thrive in this role if you: Have deep technical experience (infrastructure / systems engineering, TPM, or product) and move comfortably between system detail and program execution. Have led ambiguous, cross-functional infrastructure work to tangible outcomes without waiting for perfect information. Communicate clearly, align partners, and make sound calls on cost, performance, and operability. Prefer measured proofs and execution over slideware and enjoy switching between strategy and hands-on work to fully own projects end-end. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $393K #J-18808-Ljbffr

A leading data analytics company is seeking a Distinguished Engineer to design the next generation of their core database engine. This role demands deep expertise in cloud databases and large-scale, elastic systems to meet evolving product requirements. The successful candidate will drive innovation and influence technology decisions across the organization. You will need at least 15 years of database experience and strong collaboration skills to lead a team effectively. This position includes competitive compensation and comprehensive benefits. #J-18808-Ljbffr

A leading engineering firm is seeking a V&V Engineer to execute and maintain validation plans and ensure compliance with ISO 13485 standards. Ideal candidates will have a Bachelor's or Master's degree in engineering and 7-10 years of experience in system-level validation for IVD or complex systems. The role involves developing protocols, maintaining documentation, and performing hardware/software tests. Competitive benefits are offered, including healthcare and financial well-being programs. #J-18808-Ljbffr

About the Team OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We're seeking a Networking Operating System Firmware Engineer to help bootstrap and scale the switching layer of our AI supercomputers. In this role, you'll build and maintain custom SONiC NOS images from scratch, working across the Linux kernel, switch ASIC SAI/SDKs, platform drivers, control-plane services, and orchestration layers. You will validate, configure, and optimize switch platforms used across our high-bandwidth cluster fabric, ensuring performance, reliability, availability, and seamless integration with fleet automation. You'll collaborate with hardware and systems teams and guide vendors to meet stringent technical expectations. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, develop, and maintain custom SONiC NOS images for large-scale bleeding-edge AI fabrics. Integrate and configure Linux kernel components, device drivers, switch ASIC SDKs, and SAI layers. Bring up new switch platforms (thermal/fan control, power monitoring, transceiver management, watchdogs, OSFP CMIS, LEDs, CPLDs, etc.). Extend and customize SONiC services for routing, telemetry, control-plane state, and distributed automation. Work with hardware teams to validate ASIC configurations, link bring-up, SerDes tuning, buffer profiles, and performance baselines. Evaluate switch silicon SDK releases, track vendor deliverables, and define platform requirements with vendors and ASIC partners. Debug complex issues spanning kernel, platform drivers, SONiC dockers, routing agents, orchestration services, hardware signals, and network topology. Integrate switches into fleet-wide monitoring, remote diagnostics, telemetry pipelines, and automated lifecycle workflows. Develop robust CI/build pipelines for reproducible NOS builds and controlled rollout across the fleet. Support factory bring-up and qualification all the way through mass deployment. Collaborate, architect, implement, and deploy novel networking protocols and technologies to achieve maximum performance and reliability at AI factory scale. You might thrive in this role if you: Proven experience working with SONiC or comparable NOS stacks (FBOSS, Cumulus Linux, Arista EOS, Junos PFE-level integration, etc.). Experience with updating OpenConfig gNMI interfaces and YANG data models. Strong background in Linux kernel, network device drivers, and low-level OS internals. Experience integrating Broadcom / Marvell / NVIDIA / Intel ASIC SDKs and SAI implementations. Proficiency in C, C++ and Python; familiarity with Rust/Go is a plus. Deep understanding of L2/L3 forwarding, ECMP, RoCE, BGP, QoS, PFC, buffer tuning, and telemetry. Hands‑on experience with hardware platform bring‑up and board‑level debugging. Familiarity with CI/CD pipelines, distributed config/state management, and large‑scale automation. Strong cross‑functional problem solving in high‑performance, distributed environments. Ability to lead teams to deliver a project end to end. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general‑purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Aff… Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US‑based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non‑public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non‑compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. About the role Forward Deployed Engineers (FDEs) lead complex deployments of frontier models in production. You will embed with our most strategic government and public sector customers-where model performance matters, delivery is urgent, and ambiguity is the default. You'll map their problems, structure delivery, and ship fast. This includes scoping, sequencing, and building full-stack solutions that create measurable value, while driving clarity across internal and external teams. You will work directly with defense, intelligence, and federal stakeholders as their technical thought partner, guiding adoption, maximizing mission impact, and ensuring successful deployments at scale. Along the way, you'll identify reusable patterns, codify best practices, and share field signal that influences OpenAI's roadmap. This role is based in Washington DC, Seattle or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required, including on-site work with customers. In this role you will Own technical delivery across multiple government deployments, from first prototype to stable production. Deeply embed with public sector customers to design and build novel applications powered by OpenAI models. Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications. Prototype and build full-stack systems using Python, JavaScript, or comparable stacks that deliver real mission impact. Proactively guide customers on maximizing business and operational value from their applications. Forge and manage relationships with customer leadership and stakeholders, ensuring successful deployment and scale. Scope work, sequence delivery, and remove blockers early-making trade-offs between scope, speed, and quality. Contribute directly in the code when clarity or momentum depends on it. Codify working patterns into tools, playbooks, or building blocks others can use. Share field feedback with Research and Product to influence model and product development. Keep teams moving through clarity, judgment, and consistent follow-through. You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments. Active TS/SCI clearance or equivalent Have scoped and delivered complex systems in fast-moving or ambiguous contexts. Write and review production-grade code across frontend and backend, using Python, JavaScript, or similar stacks. Are familiar with cloud deployment models (Azure, AWS), Kubernetes, Terraform, and related infrastructure. Have experience building or deploying systems powered by LLMs or generative models, and understand how model behavior affects product experience. Simplify complexity, make fast, sound decisions under pressure, and communicate clearly across technical and non-technical audiences. Spot risks early, adjust without slowing down, and model calm judgment when stakes are high. Are humble, collaborative, and eager to help others with empathy. Operate with high horsepower, thrive in dynamic environments, and can ruthlessly prioritize across multiple projects. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Aff… Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

A tech-focused organization is looking for a Forward Deployed Engineer to lead complex AI deployments with government clients. You will be responsible for managing technical delivery, embedding within client teams, and utilizing advanced AI technologies to solve critical challenges. Ideal candidates will have 5+ years of experience in engineering, a TS/SCI clearance, and a strong ability to communicate effectively while navigating fast-paced environments. This position allows for hybrid work with significant travel requirements. #J-18808-Ljbffr