Infrastructure Engineer jobs at Tyler Technologies - 8839 jobs

A technology collaboration company is seeking a Machine Learning Systems Engineer. This role involves building and scaling core infrastructure for AI and ML, mentoring junior engineers, and leading projects from design to launch. Candidates should be fluent in Java or Kotlin and have experience with AWS and machine learning. The position offers remote work options and competitive compensation ranges based on geographical zones. #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 Francisco Bay Area, California, United States Software and Services The iPhone revolutionized how people live, communicate, and connect. The iPad changed how people define a computer. Come help build the iconic user experiences and delightful interfaces that millions of customers use and love every day. The Notifications and Focus team is looking for a creative, customer-focused engineer to help push the iOS and iPadOS user experience forward. Come work with an energetic, hardworking team of engineers, multi-functional teams, and world‑class designers to deliver the best mobile experience on the planet! Description Are you passionate about building software that is used by millions of people every day? Have you ever wondered what backs the notification system employed by iOS, watch OS, vision OS, and mac OS? How services like Focus interact with the rest of the system to allow for personalization and intentional use? How all of the beautiful, fluid animations in iOS are achieved? How to make services and technologies that fundamentally make iOS, well… iOS? As an engineer on the Notifications and Focus team, your responsibilities will range from defining, designing, and implementing new features and interfaces, to fixing bugs, iterating on features, and focusing on performance. You should have a strong understanding of object‑oriented software design, good debugging skills, and an eagerness to tackle tough problems and learn from amazing teammates. Minimum Qualifications Bachelor of Computer Science or equivalent work experience Strong sense of ownership and accountability Comfortable operating in ambiguity and defining the right solution, not just implementing one Knowledge of Apple's development APIs and experience developing apps with UIKit or SwiftUI Exceptional problem solving, critical thinking, and communication skills Preferred Qualifications Familiar with the challenges of working in large codebases Versed in modern software development methodologies Excellent object‑oriented programming and design skills Excellent understanding of optimization and performance issues across OS software layers At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

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

A leading technology company is seeking a Machine Learning Engineer to contribute to the development of Siri. You will work on designing and optimizing machine learning algorithms and collaborate cross-functionally at Apple. The ideal candidate will have strong programming skills and experience in machine learning. Salary base range is $126,800 to $220,900, with additional benefits including stock options and comprehensive healthcare. #J-18808-Ljbffr

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location Remote Travel 25% of the time Job Description Diagnose and Resolve Incidents: Identify, diagnose, and resolve incidents related to storage and backup infrastructure, including SAN (PMAX, FS7300, PURE Storage, Unity Storage), NAS (Isilon, NetApp), Object Storage (StorageGRID), and Backup (Rubrik) systems. Backup of SAN Switch Configuration: Perform regular backups of SAN switch configurations to ensure data integrity and availability. User / Role Security Administration: Manage user accounts, roles, and permissions to ensure secure access to storage systems. Storage Capacity Reporting: Monitor and report on storage capacity to ensure optimal utilization and planning. Change Implementation: Implement changes to storage and backup configurations and settings as required. Incident & Problem Resolution: Respond to and resolve storage and backup-related incidents and recurring problems. Configuration Administration: Administer and manage storage and backup configurations to ensure system reliability and performance. Key Responsibilities Monitoring: Continuously monitor storage and backup systems (PMAX, FS7300, PURE Storage, Unity Storage, Isilon, NetApp, StorageGRID, Rubrik) for performance, availability, and security issues using monitoring tools such as Dell EMC Unisphere, Pure1, NetApp OnCommand, and Rubrik Polaris. Incident Management: Respond to and resolve storage and backup-related incidents and outages. Maintenance: Perform regular maintenance tasks such as backups, patching, and upgrades. Change Management: Implement changes to storage and backup configurations and settings as required. User Support: Provide support to users, including troubleshooting and resolving access issues. Reporting: Generate reports on storage and backup performance, incidents, and capacity planning. Required Skills: Technical Skills: Proficiency in managing various storage and backup technologies: SAN (PMAX, FS7300, PURE Storage, Unity Storage), NAS (Isilon, NetApp), Object Storage (StorageGRID), Backup (Rubrik). Strong knowledge of storage and backup administration. Experience with storage and backup monitoring tools: Dell EMC Unisphere, Pure1, NetApp OnCommand, Rubrik Polaris. Familiarity with automation tools and scripting languages: Python, Bash. Understanding of backup and recovery strategies. Knowledge of storage security best practices. Soft Skills: Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to work in a fast-paced, dynamic environment. Attention to detail and a proactive approach to storage and backup management. Relevant certifications: Certified Storage Engineer, Backup and Recovery Specialist, etc. Basic Qualification 5+ years of Storage and Backup experience in a global enterprise environment. Ability to work in a 24x7 on-call after hour rotation environment. Relevant experience supporting security audits, vulnerability assessments, and compliance automation efforts. High school or equivalent diploma. The base compensation range for this role in the posted location is: $ 66,810 - $ 191,510 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non‑negotiable benefits package to all regular, full‑time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A‑F), defined by policy: Vacation: 12‑25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end‑to‑end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market‑leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Ref. code 388043-en_GB Posted on 06 Jan 2026 Contract type Permanent Location Atlanta, Austin, Bellevue, Berwyn, Bridgewater, Brooklyn, Burlington, Chicago, Columbia, Dallas, Dayton - Sogeti US, Guaynabo, Houston, Irving, Mclean, Nashville, New York, San Francisco, Santa Clara, Seattle, Southfield, Tampa, Westerville When you join Capgemini, you don't just start a new job. You become part of something bigger. We bring together passionate, skilled people, a tech‑driven approach to innovation, and a deep commitment to our clients to help organizations unlock the true value of technology. As a graduate or an experienced professional, you will be working with the world's leading brands to enhance and transform the way they do business. #J-18808-Ljbffr

A leading technology company based in San Francisco is looking for a creative engineer to enhance the iOS and iPadOS user experience on the Notifications and Focus team. Responsibilities include defining, designing, and implementing innovative features, fixing bugs, and improving performance. The ideal candidate should hold a Bachelor in Computer Science, demonstrate ownership, communication skills, and experience with UIKit or SwiftUI. Competitive compensation and comprehensive benefits are offered, including employee stock programs. #J-18808-Ljbffr

A healthcare technology company is seeking a Research Engineer to enhance ML infrastructure for medical imaging. You will manage data pipelines and contribute to production-ready systems. Ideal candidates have 3+ years' experience in production ML systems, strong Python skills, and familiarity with cloud technologies. This role involves collaboration with researchers and rapid prototype development. #J-18808-Ljbffr

A tech company in San Francisco is seeking an innovative AI Engineer to design and integrate cutting-edge AI capabilities. The ideal candidate will have over 2 years of experience, proficiency in AI/ML, and strong communication skills. This role involves collaborating with teams, developing AI systems, and addressing scalability challenges in a fast-paced environment. The team operates on-site in San Francisco five days a week. #J-18808-Ljbffr

Stytch is the platform for user authentication and anti-fraud tooling. We make it simple for developers to build complex authentication flows in minutes. We're looking for an experienced Solutions Engineer who thrives on educating, problem-solving, and building relationships with developers at industry leading companies. In this role, you will be responsible for understanding the needs of our customers, communicating solution designs, and leading technical evaluations. Throughout that path, you'll be serving as the auth subject matter expert with our customer's engineering team to drive a smooth and speedy evaluation. This is a hybrid, full-time position based in the SF Bay Area. We aren't looking for someone to be in-office 5 days per week, but are looking for someone who is excited to collaborate in-person on a weekly basis (2-3 days per week in-office). What Excites You A collaborative environment, working with prospective customers and internal teams to push our product forward Serving as a confident technical resource and voice for our customers Learning - our product suite and problem space is continually evolving, and staying on top of those changes is critical to success Building strong relationships with prospective customers to ensure a successful evaluation What Excites Us Demonstrated ability to communicate credibly and effectively at all levels; everyone from a CTO to a software engineer Grit - tenacity, curiosity, and drive to find the solution that works for customers and collaborate closely with engineering and product to give feedback and push for new features when needed Ability to read and write code - our product and customers are highly technical and we often share example apps and code snippets to help them understand our product Familiarity with modern web services and APIs. Experience with authentication protocols (SAML/OAuth), MFA, IdP is a bonus Enthusiasm to work in a high-growth environment and to help build processes and tools as needed Want You'll Do Lead technical customer conversations to identify, qualify and address customers' authentication use cases, requirements and constraints Collaborate with the sales team to demonstrate the business and technical value of Stytch Lead technical demos and POCs of Stytch's authentication platform Codify learnings from customer deployments into repeatable implementation methodologies and playbooks Develop technical domain expertise of authentication and authorization concepts and policies such as SAML, OIDC, and OAuth Partner with our Product organization to help shape our roadmap based on prospect and customer feedback, challenges and growth drivers Expected on-target earnings (OTE) for this position is between $140,000 - $180,000 with a base/variable split of 80%/20%. The anticipated OTE range is not inclusive of full benefits including equity, health care insurance, time off, paid parental leave, etc. We're looking to hire a GREAT team and that means hiring people who are highly empathetic, ambitious, and excited about building the future of user authentication. You should feel empowered to apply for this role even if your experience doesn't exactly match up to our job description. We are committed to building a diverse, inclusive, and equitable workspace where everyone feels like they belong. We look forward to hearing from you. Stytch participates in e-verify and will provide the federal government with your form I-9 information to confirm that you are authorized to work in the United States. #J-18808-Ljbffr

A leading technology firm in Seattle is looking for a Principal Member of Technical Staff to support system design, debug and engage with customers on their AMD Instinct™ product line. This role involves leading hands-on validation efforts, optimizing Rack-Scale AI solutions, and influencing product roadmaps. The ideal candidate will have extensive experience in system architecture and debugging, along with relevant academic credentials. The position offers opportunities to mentor and drive technical excellence in a collaborative team environment. #J-18808-Ljbffr

Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine‑tuned extraction models where legacy OCR and other parsing tools consistently fail. We are a small, fast‑growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth‑stage companies. We are backed by tier 1 investors and growing quickly. What makes our tech special is our multi‑stage architecture: Layout understanding with specialized component detection models Low‑latency OCR models for targeted extraction Advanced reading‑order algorithms for complex structures Proprietary table structure recognition and parsing Fine‑tuned vision‑language models for charts, tables, and figures If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence. What we are looking for 5 days in‑office at our San Francisco office Eager to learn and adapt quickly Prior startup or founding experience is a plus About the Role As a Solutions Engineer at Pulse, you will work at the intersection of customer deployments and core engineering. You will help design, deploy, and operate Pulse in real production environments, often inside customer infrastructure, with a strong focus on reliability, performance, and accuracy. This role is hands‑on and technical. You will work closely with customer engineering teams while partnering with Pulse's platform, ML, and product teams to ensure successful deployments and continuous improvements. Responsibilities Deploy, operate, and debug Pulse services in Kubernetes‑based environments Work directly with customers to support production rollouts, pilots, and ongoing operations Configure and optimize extraction pipelines, schemas, and validation workflows Diagnose accuracy, latency, and infrastructure issues across distributed systems Build internal tools and customer‑facing utilities in Python to support deployments Support API integrations, webhooks, and downstream data delivery workflows Collaborate with core engineering to surface product gaps and improve platform reliability Own operational excellence for customer‑facing deployments, including monitoring and incident response Requirements 2+ years building and operating production systems, new grads with strong infra experience considered Strong experience with Kubernetes, including deploying, debugging, and operating services in production Proficiency in Python for backend services, tooling, and automation Experience working with APIs, distributed systems, and asynchronous workflows Comfort working directly with customer engineering teams on technical deployments Strong debugging skills across application, infrastructure, and data layers Clear written and verbal communication, with a bias toward ownership and execution Nice to have Experience running workloads on AWS, GCP, or Azure Familiarity with Docker, Helm, Terraform, or similar tooling Experience with observability tooling (metrics, logs, tracing) Background in data infrastructure, ML platforms, or document processing systems Sponsorship Sponsorship available. Compensation and benefits Competitive base salary plus equity, performance‑based bonus, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage. #J-18808-Ljbffr

A dynamic tech firm in San Francisco is seeking a Solutions Engineer to bridge customer deployments and engineering operations. This role focuses on deploying and operating the Pulse service within customer environments, emphasizing reliability and accuracy. Ideal candidates will have over 2 years of experience with Kubernetes and Python, with strong skills in debugging and working directly with customers. Competitive compensation, including salary and benefits, is offered. #J-18808-Ljbffr

A leading global hedge fund in Seattle is seeking a Quantitative Developer to build critical trading infrastructure. You will collaborate with quantitative researchers and senior portfolio managers to optimize systems for trading strategies across global futures and equities. Candidates should have strong skills in React/Typescript and Python, paired with a Master's or PhD in a relevant field. This position offers significant career growth and impact in a dynamic environment. #J-18808-Ljbffr

Mini-Circuits designs, manufactures and distributes integrated circuits, modules, and sub-systems for high-performance radio frequency (RF) and microwave applications. With design, sales, and manufacturing locations in over 30 countries, Mini-Circuits' products are used in a range of wired and wireless communications applications. Our products are also used in detection, measurement, and imaging applications, including military communication, guidance, and electronic countermeasure systems, commercial, scientific, military land, sea, and aircraft; automotive systems, medical systems, and industrial test equipment. Mini-Circuits sells its products to over 20,000 customers globally through our direct sales force, applications engineering staff, and sales representatives, as well as through our extensive website. Position Summary Design, validate, and scale automated production test systems and robotic device handlers for RF and Microwave components. This role is responsible for enabling standardized architectures, throughput improvement, global alignment, and long-term scalability of automated test processes. Salary Range $100,000 - $125,000 per year Job Function Define, design, and validate standardized robotic test handlers, adaptable across multiple RF product lines. Drive new handler integrations and improvements, document FPY, OEE, and operator experience metrics. Collaborate with global teams (Brooklyn, Florida, India, Malaysia) to ensure alignment, backup-site readiness, and standardized deployment. System Design & Development Analyze test and assembly processes to identify candidates for automation based on capacity, efficiency, and process control needs. Develop scalable, modular designs for automated handlers, including mechanical, electrical, vision, and control systems. Specify and integrate sensors (vision, position, presence), robotic arms, conveyors, and fixturing for precision RF component handling. Incorporate RF test-specific requirements (grounding, thermal, high-frequency probing, shielding). Prepare proposals, resource/budget estimates, and project plans for new automation initiatives. Lead cross-functional reviews and maintain stakeholder communication from concept to qualification. Manage vendor engagement, procurement, build, and qualification of handler systems. Documentation & Training Create system specifications, qualification/buy-off plans, operation and maintenance procedures. Train users and support personnel on deployed automation platforms. Drive continuous improvement in throughput, FPY, reliability, and maintainability. Track and implement engineering changes and upgrades into future designs. Stay current with emerging automation technologies (vision, robotics, motion systems, AI-driven inspection) and evaluate for Mini-Circuits applications. Qualifications BS/MS degree in Mechanical, Electrical, Mechatronics, or Control Systems Engineering. Minimum 5 years of relevant experience. Experience with robotic systems, automated handlers, or precision motion/vision-based automation. Familiarity with high-mix/low-to-medium volume manufacturing environments. Controls programming experience (PLC, microcontrollers in C/C++, or equivalent). Data collection and analysis skills (Excel, JMP, Python). Preferred Knowledge Experience with automated inspection systems (AOI, Keyence, Cognex vision). Knowledge of RF test process requirements and challenges. Conveyor/robot integration, pneumatic actuators, precision fixturing. Understanding of Lean Manufacturing, OEE analysis, and ROI calculations. Exposure to manufacturing ERP and PLM systems (SAP, Arena PLM, etc.). Skills Strong communication and documentation skills. Ability to lead cross-functional teams and vendor collaborations. Capable of balancing hands‑on design/build/debug with strategic project leadership. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to stand, walk, sit and use hands to operate a computer keyboard. The employee is occasionally required to reach with hands and arms. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, and ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Additional Requirements/Skills Must be a US citizen or US permanent resident Ability and willingness to abide by Company's Code of Conduct Occasional travel, some overnight, as required Benefits Comprehensive Medical, Dental, and Vision plans 401(K) and Profit‑Sharing Programs Disability Insurance Life Insurance Employer‑Sponsored Wellness Plans Hospital & Accident Indemnity Insurance Employee Benefit Advocate & Employee Assistance Program ul> Disclaimer: The listed qualifications and requirements for each position are intended as guidelines. Mini-Circuits reserves the right to hire outside of these guidelines at Management's discretion. Mini-Circuits is an Equal Opportunity Employer and does not discriminate on the basis of actual or perceived age, race, creed, color, national origin, sexual orientation, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, gender identity, gender dysphoria, pregnancy‑related condition, and domestic violence victim status or protected class characteristic, or any other protected characteristic as established by federal or state law. #J-18808-Ljbffr

A leading search AI company is looking for a Consulting Engineer - Search to help customers realize the value of their solutions. You will collaborate with various teams to deliver scalable architectures that enhance application performance and user experiences. The ideal candidate has over 5 years of experience in Enterprise Search technologies and excellent client interaction skills. This role is based in Seattle, WA, and offers flexible working arrangements. #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

Employment Type: Direct Hire This is a direct-hire, Cincinnati-based role supporting high-performance computing (HPC), GPU, and research data platforms used across genomics, AI/ML, and large-scale data analysis. The role is well-suited for an early-career systems engineer looking to grow in a mission-driven, research-focused environment. Key Responsibilities HPC & Linux Systems Support Support day-to-day operations of HPC clusters, including: User and account management Job scheduler support and basic troubleshooting Resource monitoring and utilization Building and maintaining software modules Troubleshoot batch job failures and assist researchers with execution issues Support GPU and AI workloads as part of a modern research computing environment System Engineering & Operations Assist with analysis, design, implementation, and maintenance of Linux-based systems (primarily RHEL) Participate in system testing, validation, and documentation Contribute to platform reliability, performance, and scalability improvements Follow change management and operational procedures Technical & End-User Support Provide responsive technical support to researchers and internal teams Communicate clearly via email and incident management tools Monitor systems and assist with identifying future enhancement opportunities Participate in on-call rotations as needed Collaboration & Growth Work closely with researchers, engineers, and IT partners Contribute to ongoing modernization initiatives including AI and GPU platform evolution Maintain accurate technical documentation Required Qualifications Bachelor's degree in a related field, or equivalent experience Foundational Linux experience Exposure to HPC environments, including: User/account creation Batch job systems Basic job troubleshooting Software module builds Strong written and verbal communication skills Willingness to learn and grow in a research computing environment Preferred Qualifications Experience with HPC schedulers such as Slurm or LSF Experience imaging and building RHEL-based servers Familiarity with configuration management tools (Ansible, Puppet, Satellite, or similar) Experience with LDAP, DNS, Apache, networking, storage, and Linux system logging Basic server and data center hardware knowledge Experience in healthcare, research, or academic computing environments How Success Is Measured Timely and effective resolution of HPC and system issues Stability and performance of supported platforms Ability to ramp quickly and work independently Quality of communication with researchers and internal teams Positive feedback from users and leadership

Senior Network Engineer (Cisco / Enterprise) Pay Range: $75/hour to $81/hour We are seeking a highly experienced Senior Network Engineer to support, design, and secure large-scale enterprise network environments. This role is hands-on and strategic, requiring deep expertise in Cisco networking, security architecture, and full lifecycle network implementations. Candidates must have extensive experience working in complex enterprise environments with 5,000-15,000+ network nodes. Responsibilities Design, architect, and provide engineering support for enterprise network and systems infrastructure Develop and implement network standards, policies, and procedures Serve as a technical mentor for Network Engineers and provide team leadership Perform maintenance, upgrades, and lifecycle management of: Routers, switches, firewalls Remote access systems Network management and monitoring systems Monitor network connectivity and ensure high-quality, reliable data transmission Provide technical support across LAN, WAN, MAN, wireless, security, and cloud-based networks Manage day-to-day network operations and ensure adherence to enterprise SLAs Evaluate new applications and technologies for impact on existing infrastructure and security posture Coordinate and support network vulnerability assessments and penetration testing efforts Implement remediation strategies and threat mitigation solutions Collaborate with project managers, IT teams, vendors, contractors, and consultants Participate in security policy creation, reviews, and compliance initiatives Design, implement, and maintain perimeter and internal network security systems Own and secure enterprise data networks, including: Network perimeter Remote access WAN Data centers Wired and wireless environments Identify, troubleshoot, and resolve complex network hardware and software issues Promote governance, compliance, scalability, performance, and reliability across the network infrastructure Required Qualifications 10+ years of experience as a Senior Network Engineer in large enterprise environments Proven hands-on experience with Cisco SDA and TrustSec (full lifecycle implementation experience strongly preferred) Extensive experience supporting enterprise networks with 5,000-15,000+ nodes 10+ years of hands-on configuration and support of Cisco routers, switches, and related infrastructure Experience in complex, multi-platform, multi-protocol network environments Strong background in planning, designing, and documenting Cisco-based enterprise networks Expertise in: LAN, WAN, MAN, Metro Ethernet Routing, topology, QoS, multicast, and network protocols MPLS, NAC, VPN, remote access solutions Firewalls, IDS/IPS, security devices, NAT/PAT ACS, Adaptive Authentication, SecurID RADIUS / LDAP / TACACS Wireless networking Packet-level network traffic analysis expertise Experience with network monitoring, analysis, and management tools Strong project management, leadership, and interpersonal skills Ability to work independently while mentoring and leading other engineers Preferred: Healthcare industry experience