Hardware Support Engineer
Infrastructure engineer job in Palo Alto, CA
Cognizant is a leading provider IT and BPO services, providing critical initiatives to a variety of global clients. The Hardware Operations team is a part of a high profile client project that provides interactive panoramas from positions along many streets in the world. Hardware Operations is responsible for building, testing, deploying, and maintaining imagery hardware and sensors used on different platforms.
The Hardware Support Engineer needs to have the ability to test and debug advanced, client-designed equipment like high-resolution cameras, mechanical frames, cables, and geolocation hardware, as well as completing on demand engineering tests and producing technical solutions. Take on project management tasks, analyze common hardware failures, and help create and maintain technical documentation. Act as a subject matter expert for global hardware troubleshooting and repair procedures. identifying and addressing technical knowledge gaps within the team. Work closely with regional tech leads to improve processes and troubleshoot intermittent faults. This role is based in Palo Alto, CA. Only local candidates will be considered.
Role Responsibilities
Responsible in assisting engineering teams that are testing advanced client-designed equipment such as high resolution cameras, mechanical frames, cables and overall geolocation equipment when required and agreed by the
team lead
Manage field support technical projects.
Analyze common HW failures by testing and debugging specific client designed electronics equipment
Responsible for supporting the development of the documentation of test procedures and reports for new and existing hardware/components
Audit and maintain knowledge resources with accurate and useful information
Perform the role of a SME in the review process of hardware support troubleshooting and repair procedures at a global scale. This includes:
Monitoring the technical standards of the field support team globally
Identifying technical knowledge gaps and work with the leads to address those needs
Identifying patterns of service affecting failures to develop technical or process improvements.
Being fully aligned with the Global and Regional Leads on current field support workflows, project requirements in order to participate in process improvements.
Identifying common intermittent faults and analyzing cause and repair
Desired Skills & Experience
At least 3 years of relevant work experience
Must have the ability to travel, often on short notice.
Must have a Valid passport or the ability to obtain one within
A clear driving record (MVR) and the ability to operate motor vehicles.
Expert knowledge of and experience with Hand tools, light power tools, Types and application of hardware, Measuring tools and techniques, Basic automotive repair, Understanding of wiring diagrams, Electronics repairs. Intermediate knowledge of Linux
Working knowledge of Ticketing systems, Gmail and Google Calendar, Basic spreadsheet tasks (Google Sheets, preferred), Moderate to advanced automotive repair.
Familiarity with various testing techniques and great hardware troubleshooting skills
Hardware troubleshooting, installation and warehouse management
Familiarity with vehicle parts, computer parts , camera parts, PCB etc
Excellent interpersonal and communication skills with the ability to operate and communicate effectively with people at all levels of the business.
Comfortable with a rapidly-changing environment
Strong problem-solving skills and excellent attention to detail
Able to work independently, motivated, proactive attitude with a passion for learning and creative problem solving
Hourly Rate and Other Compensation:
The annual salary for this position is between $72,000 - $93,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer: The hourly rate, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
LA County (only): Qualified applicants with arrest and/or conviction records will be considered for employment.
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.
Surgery Center Administrator
Infrastructure engineer job in Walnut Creek, CA
Surgery Center Administrator needed for growing Ambulatory Surgery Center! Bonus Incentives!
State-of-the-art, multispecialty facility performs procedures in: General Surgery, Orthopedic Surgery, Urologic Surgery, Colorectal Surgery, Pain Management, Hand Surgery, Podiatric Surgery, ENT Surgery. 4 Operating Rooms.
The daily operation of the facility.
Serving, along with any committee appointed for the purpose, as a liaison between the Governing Board, the Medical Staff, and all departments of the facility.
Reporting the pertinent activities concerning the facility to the Governing Board at regular intervals.
Appointing a person responsible for the facility in the absence of the Administrator.
Planning for the services provided by the facility and the operation of the facility.
Overall management of the Partnership as outlined in the Operating or Limited Partnership Agreement as applicable.
Lead discussion/presentation during Monthly Operations Review call with the Home Office team.
Qualifications:
Bachelor's degree or equivalent work experience.
Nursing or Master's degree desired but not required.
3+ years of experience in a top administrative or management position on a large ASC.
Ability to work well with physicians, employees, patients, and others.
Energy Marshall, Data Centers
Infrastructure engineer job in Santa Clara, CA
Suffolk is a national enterprise that builds, innovates and invests. Suffolk is an end-to-end business that provides value throughout the entire project lifecycle by leveraging its core construction management services with vertical service lines that include real estate capital investment, design, self-perform construction services, technology start-up investment (Suffolk Technologies) and innovation research/development.
Suffolk - America's Contractor - is a national company with more than $5.0 billion in annual revenue, 2,600 employees, and main offices in Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, and San Diego. Suffolk manages some of the most complex, sophisticated projects in the country, serving clients in every major industry sector, including healthcare, life sciences, education, gaming, transportation/aviation, government, mission critical and commercial. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR's list of “Top CM-at-Risk Contractors.” For more information, visit *************** and follow Suffolk on Facebook, Twitter, LinkedIn, YouTube, and Instagram.
Position:
Suffolk is currently seeking an Energy Marshall to implement learning, provide consistency, and drive rigor into energy isolation and electrical safety programs.
Responsibilities:
Reviewing the Electrical Energization Safety Program with the electrical contractor and commissioning authority
Involvement with all stored energy systems - gas, water, steam, air.
Organizing and scheduling Pre-Energization meetings
Confirming individuals working on energized / de-energized equipment are Qualified
Work based on NFPA 70E, OSHA, or an accepted qualified electrical safety training standard.
Delivering a project specific Electrical Safety Orientation to employees who will be working on energized or de-energized equipment
Reviewing the electrician's LOTO plan and verifying it is accurate and managed properly.
Reviewing electrician and vendor AHA's.
Confirming receipt of the approved coordination study and all arc flash labels have been applied to the equipment.
Tracking and confirming all required QA/QC is complete and documentation has been submitted.
Reviewing the daily Pre-Task Plan for energization activities.
Implementing adequate communication to the project team that identifies daily high-risk activities, energized equipment and spaces, barriers, and off-limit spaces.
Confirming all pre-energization steps have been completed.
Conducting pre-energization daily walks with the electrician and project stakeholders.
Performing end-of-day walks for electrical equipment to confirm all systems are secure.
Confirming adherence to the LOTO plan and isolation requirements.
Confirming adequate signage and barriers are installed for electrical rooms and spaces with energized equipment.
Confirming an adequate access control plan is in place for electrical rooms and spaces with energized equipment.
Qualifications:
BA/BS + 5 years of related experience or demonstrated equivalency of experience and/or education
Able to understand the safe installation of electrical equipment and various voltages, equipment types, and AC/DC systems
Knowledge of pressurized mechanical lines, compressed gas and air.
Experience in construction and electrical commissioning standards and practices.
Experience communicating complex technical solutions and concepts to engineers and non-engineers.
Ensure audit site practices against written standards as part of assurance role.
Ability to Interpret line drawings and system redundancies to ensure design of LOTO systems are 100% effective and in compliance with customer standards.
While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stand; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level. Job site walking.
Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk.
MEP Systems Engineer
Infrastructure engineer job in Redwood City, CA
Ready to play a key role in building the future of living? Join Samara in tackling California's housing shortage and enabling people to attain sustainable housing without compromising design or quality. Our flagship product, Backyard, is a fully turnkey, premium accessory dwelling unit (ADU) designed for homeowners and real estate developers. As we expand our offerings and scale our in-house development initiatives, we're at a pivotal moment, redefining homeownership through high-quality, attainable infill housing. Backed by top-tier investors, including Airbnb, Thrive Capital, and 8VC, Samara is positioned for significant growth and market impact.
To support our next phase of growth, we're hiring product-focused engineers to advance and scale the technical foundation of our modular system. These roles go beyond traditional design work-they refine system standards, improve factory repeatability, and ensure our units are code-compliant, manufacturable, and built to the highest standards of quality and performance.
The MEP Systems Engineer will be responsible for the detailed design and implementation of mechanical, electrical, plumbing, and PV systems tailored for modular construction building systems. This role requires a deep understanding of MEP systems combined with practical experience in modular construction. You will collaborate closely with leadership, crossfunctional design and engineering teams to integrate all technical and user experience requirements into our designs to ensure optimal functionality, sustainability, and compliance with all regulations.
What You'll Do
Design and develop integrated MEP systems for our new and existing designs including solar energy systems, including PV and ESS, optimized for prefabricated modular construction
Ensure that solar and energy storage designs align with overall MEP system functionality and building energy requirements
Lead the creation of comprehensive design documents, schematics, component material selections and system layouts, preferably using CAD and BIM software
Provide technical leadership during the installation and commissioning phases to ensure systems meet design specifications and performance standards
Conduct system testing and validation to ensure functionality, efficiency, and safety of both MEP and PV installations
Collaborate closely with installation teams to facilitate seamless and efficient factory and onsite implementation of design
Engage in research and application of the latest technologies and practices in renewable energy and modular construction
Work with program managers and other engineering disciplines to ensure holistic integration of all systems within Samara modular units
What We're Looking For
Modular construction experience in factory builds, multi-mod, stackable and/or other hands on related experience.
Licensed Electrician or Mechanical Contractor -and/or- Bachelor's degree in Mechanical, Electrical, or Energy Systems Engineering, or a related field
Professional Engineering (PE) license preferred
Minimum of 7 years of experience in one of the following: Mechanical, Electrical, Solar and/or Plumbing System design
Comprehensive knowledge of building codes, safety regulations, and sustainability practices relevant to MEP and renewable energy systems
Proficiency in design software such as Onshape, Revit, and/or other BIM methodologies preferred
Excellent problem-solving skills and the ability to adapt designs to changing technological and regulatory landscapes
Strong communication and leadership skills, capable of driving project decisions and managing complex stakeholder relationships
Ability to travel to our factory in Mexico up to 25-40%.
What We Offer
Salary range of $120-160K and performance-based bonuses.
Hybrid work schedule with 3 days each week in our Redwood City office.
Snacks and Lunch on in-office days
Early stage employee equity.
Exceptional health, dental, and vision insurance.
401k eligibility after 6 months.
Flexible PTO policy.
How to Apply
If you're excited to support Samara's mission and have the skills to match, we'd love to hear from you. Please submit your resume and a brief letter of introduction to our team.
Let's build something extraordinary-together.
Staff ML Infrastructure Engineer
Infrastructure engineer job in San Francisco, CA
Staff / Lead ML Infrastructure Engineer
San Francisco, CA - Onsite
Salary - Over market average + equity
We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads.
What You'll Own
Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment.
High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines.
Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs.
End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout.
Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability.
Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling.
Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction.
What You've Done
Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company.
Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams.
Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure).
Strong engineering fundamentals in Python, Go, or equivalent languages.
Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data.
Demonstrated ability to lead complex cross-org initiatives and drive technical strategy.
Nice to Have
Experience with video processing systems, large-scale media pipelines, or streaming architectures.
Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators).
Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads.
Background working in high-growth AI startups or research-focused environments.
Security and compliance considerations for models that generate or process user content.
Why Join
Shape the underlying platform powering one of the most advanced generative video systems in the world.
Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs.
Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies.
Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.
Microsoft System Administrator
Infrastructure engineer job in San Jose, CA
Microsoft Administrator - implementation, management, migration and support of an organization's Microsoft 365 and Active Directory environments, ensuring optimal performance, security, and user access.
Key Responsibilities
User and Identity Management: Administer the lifecycle of user accounts, groups, and licenses in both on-premises Active Directory and Microsoft Entra ID (formerly Azure AD). This includes provisioning, deactivation, password management, and role assignment.
Security and Compliance: Implement and maintain security measures such as multi-factor authentication (MFA), Conditional Access policies, and data loss prevention (DLP). Ensure compliance with internal policies and regulatory requirements regarding data security and privacy.
System Maintenance and Monitoring: Monitor the health, performance, and usage of Microsoft 365 services (Exchange Online, SharePoint, Teams, OneDrive) and the Active Directory infrastructure.
Technical Support and Troubleshooting: Provide technical support for M365 and AD-related issues, troubleshooting authentication problems, and resolving client-side issues.
Automation and Scripting: Utilize PowerShell or other automation tools to streamline administrative tasks and improve efficiency.
Collaboration and Integration: Collaborate with other IT teams to integrate M365 and AD services with other business applications and systems. Manage Azure AD Connect for directory synchronization between on-premises AD and Azure AD.
Documentation and Training: Develop and maintain technical documentation for configurations, procedures, and user guides. Provide training and support to end-users on new features and best practices.
Migration: Design and implement solutions to migrate different email servers/mailboxes (Exchange, G-Suite, Thunderbird) to the organization 0365 env, support TEAMS migrations, SharePoint and OneDrive, maintain reliable backup and recovery processes for directory data and M365 content (e.g., SharePoint, Exchange Online).
Qualifications and Skills
Experience: Proven experience in managing and supporting Microsoft 365, Azure AD, and on-premises Active Directory environments.
Technical Proficiency: In-depth knowledge of Microsoft 365 architecture, Windows Server operating systems, networking concepts (DNS, TCP/IP), and cloud security principles.
Problem-Solving: Excellent analytical and problem-solving skills to troubleshoot complex technical issues promptly.
Communication: Strong written and verbal communication skills, with the ability to convey technical information to both technical and non-technical stakeholders.
Certifications: Relevant Microsoft certifications (e.g., Microsoft Certified: Administrator Expert, Azure Administrator Associate, Identity and Access Administrator Associate) are often preferred.
Automation: Proficiency in PowerShell scripting for task automation.
Core Technologies
Microsoft Entra ID (Azure AD)
Exchange Online
SharePoint Online
Microsoft Teams
OneDrive for Business
Active Directory Domain Services (AD DS)
Group Policy Objects (GPOs)
PowerShell
Microsoft SMS/Intune (for device management)
Solutions Engineer
Infrastructure engineer job in San Mateo, CA
Our client is transforming customer communication by leveraging advanced voice AI technology.
Voice remains one of the most natural ways for people to interact, yet traditional systems have lagged behind for decades. The goal is to bring intelligence, empathy, and efficiency to every business-to-customer conversation.
In less than two years, the company has grown rapidly, with thousands of businesses using its AI-driven voice solutions to manage sales, support, and logistics calls that previously required large human teams. Backed by top-tier investors, the organization has achieved significant revenue milestones and continues to scale aggressively.
They are seeking ambitious individuals who want to tackle complex technical challenges, move quickly, and make a meaningful impact at one of the fastest-growing companies in the voice AI space.
About the Role:
As a Senior Forward Deployed Engineer, you'll deliver voice AI solutions to enterprise clients, embedding with their teams to build production-ready systems. You'll bridge technical and non-technical stakeholders, drive adoption, and shape the platform through customer insights.
Key Responsibilities:
Lead end-to-end delivery of projects using our voice agent platform
Build full-stack integrations (Python, JavaScript) with enterprise tools
Partner with sales to gather requirements, prototype demos, and present designs
Translate field feedback into actionable product recommendations
Ideal Background:
2+ years in customer-facing technical roles
Strong communication skills and ability to explain complex concepts
Experience delivering systems in fast-paced environments
Proficiency in Python and JavaScript
Understanding of LLM-powered systems
Compensation & Benefits:
Salary: $215K-$290K
Equity: 0.15-0.35%
Location: Onsite in the San Francisco Bay Area
Comprehensive health coverage, wellness and commuter reimbursements, and other perks
Interview Process:
Includes recruiter intro, technical assessment, coding interview, customer-focused discussion, and onsite/virtual rounds covering communication, architecture, and problem-solving.
Join us to shape the future of voice automation with your technical expertise and communication skills.
Implementation Engineer
Infrastructure engineer job in San Francisco, CA
A fast-growing AI startup is looking for its first Founding Implementation Engineer to own the full post-sale lifecycle for major enterprise customers in a complex, global industry. This is a hands-on, high-impact role where you'll take new deals from contract signature to full operational adoption.
The Role
You'll lead kickoffs, design and execute implementation plans, ingest customer workflows into the platform, and configure automations so the product integrates seamlessly into daily operations. You'll be the central point of contact across customers, product, and engineering-ensuring the platform is not only deployed, but deeply adopted.
You'll monitor engagement, run working sessions, identify friction, and collaborate closely with technical teams to resolve issues and improve functionality. Once customers are stabilized, you'll drive renewals and expansions by uncovering new use cases, scoping additional workflows, and partnering with sales on commercial discussions.
Why It's Important
This is a foundational role that will shape how the company delivers value. You'll build the early customer success playbook, establish scalable onboarding frameworks, define ROI reporting standards, and create tight feedback loops into product development. Over time, this position is expected to evolve into leading the customer success organization.
What You Bring
4-8 years in customer-facing roles (CSM, solutions, implementation, product)
Experience in a fast-paced startup (Series B/C ideal)
Strong execution, communication, and project management skills
Comfort working with technical teams and complex workflows
A bias toward ownership and operational detail
Details
On-site: 4-5 days/week in San Francisco
Full-time
About the Company
The company builds AI systems that automate highly manual, operationally intensive workflows in a global, data-heavy industry. They focus on extracting value from unstructured information, improving accuracy, and creating intelligent workflow automation. The team is small, fast-moving, and values clarity, accountability, and craftsmanship.
Solution Delivery Engineer
Infrastructure engineer job in Fremont, CA
About the role:
As a Delivery Engineer, you will play a key role in ensuring the reliable operation of mission-critical power electronics systems. You will lead in installation, startup and commissioning of data center power and cooling infrastructure equipment, providing top-tier technical support while ensuring a high level of customer satisfaction.
Key responsibilities:
Serve as a subject matter expert (SME) for specific equipment or technologies within the team
Collaborate with installation partner to provide installation guidance to meet equipment specification
Collaborate with engineering resources to perform startup and commission of power and cooling electronics at customer sites
Assist emergency support and troubleshooting for related equipment
Collaborate with service team to provide routine and preventive maintenance on related equipment
Strive for first-time fix resolutions and superior customer satisfaction
Maintain consistent and clear communication with both customers and internal teams
Minium Qualifications:
Associate degree in Electronics, Electrical or mechanical Engineering, or equivalent Military Electronics or mechanical Training
5-8 years of field service, electrician or construction experience
Solid understanding of electrical theory and Ohm's Law
Proficient in reading and interpreting electrical schematics and blueprints
Experience with 3-phase / 480V power systems is required
Familiarity with test equipment, hand tools, and industry safety practices
Computer literacy including Microsoft Outlook, Word, and Excel
Strong written and verbal communication skills
Self-starter with the ability to work independently and manage time effectively
Preferred Qualifications:
Electrician or plumbing license is a plus
3 phase UPS system experience is a plus
Benefit at Delta Electronics Americas: Life at Delta
Technical Support Engineer
Infrastructure engineer job in Santa Clara, CA
Job Title: Technical Support Engineer - Service Management
Start: 01/12/2026
End: 01/08/2027
requires a hybrid schedule to sit onsite 2-3 days of the week.
In this role you will debug JavaScript code as well as find better solutions to custom code. Support engineers use the ServiceNow platform via an internal implementation of its tools to diagnose customer issues. Cases are created by customers and managed by engineers using the ServiceNow software platform. The successful candidate will be able to quickly gain an understanding of the ServiceNow platform. This is a customer-facing role in a very collaborative environment and therefore it requires strong interpersonal skills. This opportunity may evolve to include additional responsibilities and opportunities for career growth.
Skills: To be successful in this role you must have or equal to experience with:
Demonstrated ability to troubleshoot difficult technical issues Must have solid object-oriented programming skills in JavaScript Experience working with dynamic HTML components such as CSS and XHTML Angular experience preferred.
Working knowledge of the components in a web applications stack Experience with relational databases such as MySQL Linux and/or UNIX experience.
Desired Skills:
Strong understanding of Java, JavaScript Working knowledge of ServiceNow Platform A fundamental understanding of IT service management and the ITIL business process
Network Engineer
Infrastructure engineer job in Fremont, CA
Experience Needed:
CCNP/JNCIP preferable
Experience in new PoP or Datacenter builds.
Understanding of outside plant construction requirements with fiber and/or copper or coax experience preferred.
Solid understanding of fiber-optic technology including cable types, connector types, optic types, patch panels, and optical transport technologies.
Rack and stack; Installation of new racks and devices.
Experience in device installation and testing, software/firmware upgrade, re-bootstrapping and decommission.
Experience in network optimization (re-stripes, migrations, upgrades, swaps, capacity upgrades).
Knowledge of DCN and experience in DCN installation, migrations, and upgrades.
Experience in break fix support
Knowledge of Juniper, Ciena, Infinera, Cisco, Arista and ZPE systems (Network Deployment)
Strong attention to detail with excellent time management and organization skills.
Excellent experience in maintaining documentation.
Demonstrated ability to analyze complex situations and utilize troubleshooting skills, systems and tools, and creative problem-solving abilities under pressure.
Programming and scripting capabilities are strongly desired.
Excellent communication skills.
Ability to work within a global team in a fast-paced and dynamic environment with limited supervision.
Duties:
Deploy, configure, and support a large-scale production and corporate network and server infrastructure in data centers, Point of Presence (POP), edge, backbone, datacenter, and content delivery network (CDN) infrastructure.
Provide onsite network support and expertise on local data center campus and remote support for POP sites while working with local vendor support staff
Schedule and perform network maintenance, repair, and upgrade tasks as needed while limiting the impact on the production network
Calculate and document equipment power requirements and work with Engineering, Facilities Operations, and/or collocation vendors to meet these requirements.
Work closely with Network Engineering, Logistics, and equipment vendors as new equipment and technologies are integrated into the production network.
Work with network provisioning engineers to turn up new circuits and engage and escalate with vendors to troubleshoot out-of-service or faulty circuits.
Queue Management for tasks and incidents, participate in ongoing DC/POP deployment projects
Use internal tools and scripts to configure, monitor, and repair servers and network equipment
Develop internal documentation and conduct training as needed or appropriate
Proactively contribute to documentation, automation and processes as they evolve
Follow, improve, and implement data center and POP best practices
Participate in on call activities and follow escalation process to support the infrastructure 24/7
Virtual Memory Kernel Engineer
Infrastructure engineer job in Cupertino, CA
The Darwin Systems team within Apple's CoreOS organization is responsible for delivery of a high-quality and performant kernel for just about every one of Apple's products. Our software runs on your wrist as part of watch OS; in your pocket with iOS; on your desk in mac OS; in your living room with tv OS; and now in vision OS and Apple's Cloud. These are the devices owned by your friends and family; and hundreds of millions of devices beyond those. We ensure every aspect of the kernel and other system software are top class: features, performance, stability, security… This position requires a solid understanding of operating systems fundamentals, including kernel design and implementation. The virtual memory team is in charge of page management, mechanisms such as copy on write, low-memory process killing, swap… We work with every layer of the stack: from hardware all the way up to applications and successful engineers will be able to dig deep into details and work with other engineers to solve problems, find opportunities to keep on improving our stack and design to improve our customers' experience.
As Moore's law is slowing down, effective management of resources is becoming more and more important. We work closely with all product teams across Apple to provide them with a modern, efficient operating system that allows them to ship the kinds of quality products that our customers expect. Come work with us on Apple's operating systems and get a chance to influence design across the stack: from Silicon all the way up to the SDK and applications while focusing on performance and delivering value to our customers.
BS/MS in Computer Science + 5 years work experience or equivalent knowledge and experience Ability to work with teams across multiple timezones. Familiarity with Unix and associated tools. Ability to ramp up quickly on an unfamiliar code base. In-depth knowledge of kernel internals. Highly professional, with the ability to multitask and deliver solid work on tight schedules.
A demonstrated record of working on core operating system technologies, specifically around memory management in a modern kernel. Design and implementation responsibility for a major project. Demonstrated creative and critical thinking capabilities and troubleshooting skills. Familiarity with modern processor architecture (e.g. memory hierarchy, multi-core, multithreading, etc).
Autonomy Engineer - Deep Learning Infrastructure
Infrastructure engineer job in San Mateo, CA
Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond.
About the role:
Learning a semantic and geometric understanding of the world from visual data is the core of our autonomy system. We are pushing the boundaries of what is possible with real-time deep networks to accelerate progress in intelligent mobile robots. If you are excited about leveraging massive amounts of structured video data to solve problems in Computer Vision (CV) such as object detection and tracking, optical flow estimation and segmentation, we would love to hear from you.
As a deep learning infrastructure engineer, you will be responsible for building and scaling the infrastructure that supports Skydio's Deep Learning (DL) and AI efforts. You will be working at the nexus of Skydio's autonomy, embedded and cloud teams to deliver new capabilities and empower the deep learning team.
How you'll make an impact:
Develop solutions for high-performance deep learning inference for CV workloads that can deliver high throughput and low latency on different hardware platforms
Profile CV and Vision Language Models (VLMs) to analyze performance, identify bottlenecks and acceleration/optimization opportunities and improve power efficiency of deep learning inference workloads
Design and implement end to end MLOps workflows for model deployment, monitoring, and re-training
Utilize advanced Machine Learning knowledge to leverage training or runtime frameworks or model efficiency tools to improve system performance
Create new methods for improving training efficiency
Implement GPU kernels for custom architectures and optimized inference
Design and implement SDKs that allow customers/external developers to create autonomous workflows using Machine Learning (ML)
Leverage your expertise and best-practices to uphold and improve Skydio's engineering standards
What makes you a good fit:
Demonstrated hands-on experience with MLOps, ML inference acceleration/optimization, and edge deployment
Strong knowledge of DL fundamentals, techniques, and state-of-the-art DL models/architectures
Strong fundamentals in CV, image processing, and video processing
Demonstrated hands-on experience building and managing ML pipelines for solving vision or vision language tasks including data preparation, model training, model deployment, and monitoring
Experience and understanding of security and compliance requirements in ML infrastructure
Experience with ML frameworks and libraries
You have demonstrated ability to take a concept and systematically drive it through the software lifecycle: architecture, development, testing, and deployment, and monitoring
You are comfortable navigating and delivering within a complex codebase
Strong communication skills and the ability to collaborate effectively at all levels of technical depth
Compensation: At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $170,000 - 277,500*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company's group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company's policies and eligibility criteria.
*For some positions the pay may be dependent upon the individual's regional location.
#LI-PG
At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.
For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit *************************
Auto-ApplyInfrastructure Engineer
Infrastructure engineer job in San Francisco, CA
Example org is a leading software company. Example org allows real-time collaboration on important example workflows. Founded in 2012 we have over 10,000 customers worldwide and are backed by fantastic investors such as Example Capital. Example has raised its Series C and is valued at $750 million dollars.
This example role will be part of an example team and will report to the example manager. The new hire plays a critical role in various example workflows.
What you'll do
Participate in example meetings
Lead example initiatives
Recruit new team members to example team
Mentor and develop existing team members
Requirements
Experience writing good example job descriptions
Other exemplary skills
3-5 years prior experience in this role
Motivation
Great english language skills
Why you might want to work with us
We take care of you and your family with comprehensive health, vision, and dental insurance.
We're serious about food. Free catered lunch every day, and a fully stocked kitchen with occasional snack appearances from our Japanese office. Healthy and not-so-healthy options are available, as are foods for those with dietary restrictions.
You're excited to work on a product that will impact almost any consumer, almost anywhere.
We dress casually. If you want, you can wear slippers in the office. You should see the creative collection our team has built.
We believe in a culture of learning, and want to keep building our skills, experiences, and capabilities.
We offer flexible work schedules. We trust our team to know how they will do their best work.
We're family friendly. We want our teammates to focus on what they need to when they need to.
We offer very competitive compensation, including equity in Standard, to each one of our employees.
Example org provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
Do you have further questions about this role? Reach out to our talent team at *******************.
Auto-ApplyAI Training Infrastructure Engineer - Helix Team
Infrastructure engineer job in San Jose, CA
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.
Figure's vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Training Infrastructure Engineer, to take our infrastructure to the next level. This role is focused on managing the training cluster, implementing distributed training algorithms, data loaders, and developer tools for AI researchers. The ideal candidate has experience building tools and infrastructure for a large-scale deep learning system.
Responsibilities
Design, deploy, and maintain Figure's training clusters
Architect and maintain scalable deep learning frameworks for training on massive robot datasets
Work together with AI researchers to implement training of new model architectures at a large scale
Implement distributed training and parallelization strategies to reduce model development cycles
Implement tooling for data processing, model experimentation, and continuous integration
Requirements
Strong software engineering fundamentals
Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
Experience with Python and PyTorch
Experience managing HPC clusters for deep neural network training
Minimum of 4 years of professional, full-time experience building reliable backend systems
Bonus Qualifications
Experience managing cloud infrastructure (AWS, Azure, GCP)
Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.)
Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)
The US base salary range for this full-time position is between $150,000 - $350,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
Auto-ApplyStaff Infrastructure Engineer
Infrastructure engineer job in Sunnyvale, CA
Job Description
Crusoe's mission is to accelerate the abundance of energy and intelligence. We're crafting the engine that powers a world where people can create ambitiously with AI - without sacrificing scale, speed, or sustainability.
Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure.
About the Role:
We are seeking a Staff Software Infrastructure Engineer to play a critical role in managing Crusoe's fleet operations, focusing on foundational tools for provisioning and reprovisioning servers with a strong emphasis on Infrastructure as code. The role includes building automation tools, troubleshooting hardware, and scaling operations to support high growth. The candidate will be integral in transitioning to Kubernetes and optimizing Crusoe's infrastructure.
This position offers the opportunity to work on cutting-edge technologies within a world-class team and contribute directly to the success of a rapidly growing company while making a significant impact on the global energy landscape.
What You'll Be Doing:
Manage and maintain day-to-day operations of Crusoe's cloud infrastructure.
Develop automation tools to streamline server provisioning and reduce SLA times.
Scale infrastructure to support mass deployments (80-100 servers simultaneously).
Troubleshoot hardware issues, especially with GPUs, and liaise with vendors.
Transition Crusoe's environment to Kubernetes and containerized workflows.
What You'll Bring to the Team:
Solid hardware experience and GPU troubleshooting expertise.
Strong Linux background
Knowledge of PXE booting and server provisioning (bare metal)
Experience with BMC/IPMI, BIOS, and enterprise-grade server management.
Kubernetes proficiency (admin or developer).
Familiarity with containerization technologies (Docker preferred).
Experience with version control systems ( Gitlab )
Problem solving skills - able to analyze complex technical issues and develop effective solutions
Strong communication and collaboration skills to work effectively with cross-functional teams
Values: Embody the Company values
Experience with MAAS (nice to have)
Proficiency in Python or Golang (preferred language) (nice to have)
Kubernetes administration and deployment experience (nice to have)
Experience with Ansible and Terraform (nice to have)
Benefits:
Industry competitive pay
Restricted Stock Units in a fast growing, well-funded technology company
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability
Teladoc
401(k) with a 100% match up to 4% of salary
Generous paid time off and holiday schedule
Cell phone reimbursement
Tuition reimbursement
Subscription to the Calm app
MetLife Legal
Company paid commuter benefit; $300 per month
Compensation:
Compensation will be paid in the range of $209,000 - $253,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.
Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Virtualization & Cloud Platform Engineer
Infrastructure engineer job in San Jose, CA
Job Details:Job Description:
We are seeking an experienced Virtualization and Cloud Platform Engineer with a strong IT infrastructure background. The ideal candidate will have extensive experience (5+ years) managing and optimizing cloud and on-premises environments using Azure Local, Hyper-V, Windows Server OS, SQL databases, file share services, and SUSE Linux. Proficiency in scripting, monitoring solutions, and Windows SCCM administration is essential.
Responsibilities:
Design, implement, and maintain virtualized infrastructure leveraging Hyper-V and Azure Stack HCI (Azure Local).
Manage and optimize Windows Server OS environments, ensuring system performance, reliability, and security.
Administer SQL Server databases, including maintenance, backups, tuning, and troubleshooting.
Configure and maintain enterprise file-sharing services, ensuring secure and efficient data access.
Manage and support SUSE Linux environments within mixed OS landscapes.
Develop automation scripts (PowerShell, Bash) to streamline infrastructure provisioning, deployment, monitoring, and maintenance.
Implement and maintain comprehensive infrastructure monitoring solutions, proactively addressing system performance issues.
Administer Windows System Center Configuration Manager (SCCM), including deployment, patch management, inventory, and reporting.
Collaborate with IT teams to architect scalable, secure, and efficient solutions aligned with business requirements.
Provide advanced troubleshooting and support for infrastructure-related issues, escalating when necessary.
Salary Range
Our compensation reflects the cost of labor within the US market. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc.
$159.7k - $231.2k USD
#LI-CG1
Qualifications:
Minimum Qualifications
Bachelor's Degree in Computer Science, Information Technology, or a related technical discipline, or equivalent professional experience.
5+ years of experience in virtualization and cloud platforms, specifically with Azure Local and Hyper-V.
Strong proficiency in managing Windows Server Operating Systems and related services.
Hands-on experience managing SQL Server databases and file share solutions.
Demonstrable experience with SUSE Linux administration in hybrid environments.
Expert-level scripting skills (PowerShell, Bash, etc.) for automation and management.
Proven ability to deploy and manage monitoring tools and solutions (e.g., Azure Monitor, Nagios, Zabbix, or similar).
Extensive knowledge and experience with Windows SCCM for systems deployment, patching, and configuration management.
Excellent analytical, troubleshooting, and problem-solving skills.
Effective communication skills and ability to work collaboratively within cross-functional teams.
Preferred Qualifications
Relevant industry certifications (e.g., Microsoft Azure certifications, MCSE, Linux certifications).
Experience with hybrid cloud environments and migrations.
Knowledge of container technologies (Docker, Kubernetes) and DevOps practices.
Job Type: RegularShift:Shift 1 (United States of America) Primary Location:San Jose, California, United StatesAdditional Locations:Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Auto-ApplyEnergy Marshall, Data Centers
Infrastructure engineer job in Alameda, CA
Suffolk is a national enterprise that builds, innovates and invests. Suffolk is an end-to-end business that provides value throughout the entire project lifecycle by leveraging its core construction management services with vertical service lines that include real estate capital investment, design, self-perform construction services, technology start-up investment (Suffolk Technologies) and innovation research/development.
Suffolk - America's Contractor - is a national company with more than $5.0 billion in annual revenue, 2,600 employees, and main offices in Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, and San Diego. Suffolk manages some of the most complex, sophisticated projects in the country, serving clients in every major industry sector, including healthcare, life sciences, education, gaming, transportation/aviation, government, mission critical and commercial. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR's list of “Top CM-at-Risk Contractors.” For more information, visit *************** and follow Suffolk on Facebook, Twitter, LinkedIn, YouTube, and Instagram.
Position:
Suffolk is currently seeking an Energy Marshall to implement learning, provide consistency, and drive rigor into energy isolation and electrical safety programs.
Responsibilities:
Reviewing the Electrical Energization Safety Program with the electrical contractor and commissioning authority
Involvement with all stored energy systems - gas, water, steam, air.
Organizing and scheduling Pre-Energization meetings
Confirming individuals working on energized / de-energized equipment are Qualified
Work based on NFPA 70E, OSHA, or an accepted qualified electrical safety training standard.
Delivering a project specific Electrical Safety Orientation to employees who will be working on energized or de-energized equipment
Reviewing the electrician's LOTO plan and verifying it is accurate and managed properly.
Reviewing electrician and vendor AHA's.
Confirming receipt of the approved coordination study and all arc flash labels have been applied to the equipment.
Tracking and confirming all required QA/QC is complete and documentation has been submitted.
Reviewing the daily Pre-Task Plan for energization activities.
Implementing adequate communication to the project team that identifies daily high-risk activities, energized equipment and spaces, barriers, and off-limit spaces.
Confirming all pre-energization steps have been completed.
Conducting pre-energization daily walks with the electrician and project stakeholders.
Performing end-of-day walks for electrical equipment to confirm all systems are secure.
Confirming adherence to the LOTO plan and isolation requirements.
Confirming adequate signage and barriers are installed for electrical rooms and spaces with energized equipment.
Confirming an adequate access control plan is in place for electrical rooms and spaces with energized equipment.
Qualifications:
BA/BS + 5 years of related experience or demonstrated equivalency of experience and/or education
Able to understand the safe installation of electrical equipment and various voltages, equipment types, and AC/DC systems
Knowledge of pressurized mechanical lines, compressed gas and air.
Experience in construction and electrical commissioning standards and practices.
Experience communicating complex technical solutions and concepts to engineers and non-engineers.
Ensure audit site practices against written standards as part of assurance role.
Ability to Interpret line drawings and system redundancies to ensure design of LOTO systems are 100% effective and in compliance with customer standards.
While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stand; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level. Job site walking.
Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk.
Staff ML Infrastructure Engineer
Infrastructure engineer job in San Jose, CA
Staff / Lead ML Infrastructure Engineer
San Francisco, CA - Onsite
Salary - Over market average + equity
We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads.
What You'll Own
Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment.
High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines.
Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs.
End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout.
Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability.
Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling.
Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction.
What You've Done
Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company.
Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams.
Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure).
Strong engineering fundamentals in Python, Go, or equivalent languages.
Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data.
Demonstrated ability to lead complex cross-org initiatives and drive technical strategy.
Nice to Have
Experience with video processing systems, large-scale media pipelines, or streaming architectures.
Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators).
Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads.
Background working in high-growth AI startups or research-focused environments.
Security and compliance considerations for models that generate or process user content.
Why Join
Shape the underlying platform powering one of the most advanced generative video systems in the world.
Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs.
Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies.
Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.
Implementation Engineer
Infrastructure engineer job in Fremont, CA
A fast-growing AI startup is looking for its first Founding Implementation Engineer to own the full post-sale lifecycle for major enterprise customers in a complex, global industry. This is a hands-on, high-impact role where you'll take new deals from contract signature to full operational adoption.
The Role
You'll lead kickoffs, design and execute implementation plans, ingest customer workflows into the platform, and configure automations so the product integrates seamlessly into daily operations. You'll be the central point of contact across customers, product, and engineering-ensuring the platform is not only deployed, but deeply adopted.
You'll monitor engagement, run working sessions, identify friction, and collaborate closely with technical teams to resolve issues and improve functionality. Once customers are stabilized, you'll drive renewals and expansions by uncovering new use cases, scoping additional workflows, and partnering with sales on commercial discussions.
Why It's Important
This is a foundational role that will shape how the company delivers value. You'll build the early customer success playbook, establish scalable onboarding frameworks, define ROI reporting standards, and create tight feedback loops into product development. Over time, this position is expected to evolve into leading the customer success organization.
What You Bring
4-8 years in customer-facing roles (CSM, solutions, implementation, product)
Experience in a fast-paced startup (Series B/C ideal)
Strong execution, communication, and project management skills
Comfort working with technical teams and complex workflows
A bias toward ownership and operational detail
Details
On-site: 4-5 days/week in San Francisco
Full-time
About the Company
The company builds AI systems that automate highly manual, operationally intensive workflows in a global, data-heavy industry. They focus on extracting value from unstructured information, improving accuracy, and creating intelligent workflow automation. The team is small, fast-moving, and values clarity, accountability, and craftsmanship.