Requirements engineer jobs in Mountain View, CA - 5,657 jobs

Title: Plumbing Engineer / Designer (Design-Build Focus) Employment Type: Full-Time About the Role We are seeking a highly skilled Plumbing Engineer / Designer to join a fast-growing commercial construction team. This is a design-first role, with estimating as a secondary skill. The ideal candidate will have hands-on experience producing plumbing design-build documents, working in a collaborative design-assist environment, and managing complex commercial projects from concept to permit-ready drawings. You will work on large-scale commercial projects including labs, kitchens, and other high-profile facilities. Your expertise will directly influence project design, constructability, and budgeting. Key Responsibilities Produce complete plumbing design-build documentation: layouts, risers, details, and system narratives Support design-assist and preconstruction phases, including coordination with architects, engineers, and other trades Assist estimating efforts: quantity takeoffs, scope development, and ROM pricing Apply value engineering principles to optimize cost, labor, and constructability Prepare permit-ready drawings, plan check responses, and RFI follow-ups Take ownership of projects immediately, working independently and collaboratively with the team Required Qualifications Strong commercial plumbing engineering and design experience Proficient in AutoCAD and Revit (BIM experience a plus) Experience in a design-build environment Knowledge of California Plumbing Code (CPC) Solid project portfolio demonstrating design-build experience Proven ability to jump into ongoing projects and contribute immediately Strong coordination and communication skills with other trades and stakeholders Stable work history with a focus on growth and career development Preferred Qualifications Experience with estimating software for takeoffs, scope, and budgeting Familiarity with value engineering in design-build projects Salary: $120,000 - $160,000 DOE Benefits: Competitive benefits package

A leading social media platform in Palo Alto is seeking a Machine Learning Engineer/Economist to enhance the efficiency of its marketplace. The ideal candidate should possess a degree in a relevant field and have experience in data analysis and machine learning. This role involves building statistical models and driving cross-functional collaboration. A competitive salary range from $177,309 to $310,291 is offered, along with potential equity benefits. #J-18808-Ljbffr

Applied SciML (Scientific Machine Learning) Engineer Santa Clara, United States | Posted on 10/16/2025 Role: Applied SciML (Scientific Machine Learning) Engineer MUST HAVE: Job Description We're looking for an engineer with deep expertise in scientific machine learning and computational geometry to build production ML systems for physical simulation data. Requirements Core Deep Learning Experience (3+ years) Hands‑on deep learning training with scientific datasets: CAD geometries, CFD simulations, or similar physical data End‑to‑end model development: data preparation, training, hyper‑parameter tuning Multi‑GPU training and GPU memory optimization PyTorch and PyTorch Lightning proficiency Technical Depth Demonstrated experience (via publications in top venues or 3+ years industry experience) in one or both areas: Computational Geometry: PointNet, DGCNN, TripNet, MeshGPT, or similar geometric deep learning architectures Scientific ML: PINNs, DeepONet, FNO, Transformers for physics, SCoT, Poseidon, or related physics‑informed models Evidence of impact - publications in leading ML/computational science conferences/journals or a proven track record building SciML systems in industry #J-18808-Ljbffr

An innovative AI company in San Jose is seeking a skilled Machine Learning Engineer with expertise in developing LLMs and VLMs. The ideal candidate will have a strong education background and proven experience in natural language processing and computer vision. This role offers a competitive salary package, opportunities for growth, and the chance to work on cutting-edge technology that transforms the automotive industry. #J-18808-Ljbffr

Our client, a Medical Center facility under the aegis of a California Public Ivy university and one of largest health delivery systems in California, seeks an accomplished SCCM Endpoint Engineer. ________________________________________ NOTE- THIS IS LARGELY REMOTE ROLE & ONLY W2 CANDIDATES/NO C2C/1099 *** Candidate must be authorized to work in USA without requiring sponsorship *** Position: SCCM Endpoint Engineer (Job Id - # 3167240) Location: Los Angeles CA 90024 (Hybrid-99% Remote/1% onsite) Duration: 10 months + Strong Possibility of Extension _________________________________________________________ Candidate will travel onsite to learn/view their setup and come onsite as needed for team building or vendor engagements. Onsite requirements are about 2-3 per year. ____________________________________________________ Required skills and experience: Ability to monitor and report on statuses of endpoints utilizing SCCM/MECM & Intune. Understanding of Networking and Active Directory. Advanced knowledge of Microsoft Windows 10, Mac OS, Intune, Autopilot, SCCM/MECM, JAMF, and other endpoint management solutions Advanced knowledge of ISS Microsoft Office products (O365, Office 2016, Outlook, Exchange and OWA). Understanding of project plans, presentations, procedures, diagrams, and other technical documentation. Understanding of Networking protocols and standards: DNS, DHCP, WINS and TCP/IP, etc. Ability to work independently with minimal supervision as well as in a team environment. Ability to follow escalation procedure within the TSD Team and under the ISS umbrella. Establish standards and procedures for best practices, enabling commitments to established SLA's. Ability to research and test new technologies and processes. Demonstrate ability to develop creative solutions to complex problems. Understanding of various Desktop Management Systems such as anti-virus software, patch management, full disk encryption, SSO/Tap-Badge (Imprivata) software and software delivery. Ability to prioritize, organize, and execute work assignments. Ability to communicate the status of various systems to management, leadership and/or support personnel. Ability to skillfully react to a fluid and constantly changing work environment. Ability to train, delegate and review the work of staff members. Advanced knowledge of ticketing systems (ServiceNow). Strong technical abilities with excellent communication and interpersonal skills. Advanced knowledge of cloud computing (Azure, Intune, Autopilot, DaaS, Box, OneDrive). Advanced knowledge of standard desktop imaging and upgrade procedures; SCCM/MECM/MDT, Intune, OSD, PXE, thin vs thick images. Advanced knowledge of VPN remote software and RDP setup. Advanced knowledge of Windows and Citrix based printing. Understand ITIL overview and tier structure support using ticket tracking system. Advanced knowledge of Apple OSX and iOS operating systems and platforms. Advanced knowledge of virtualization technologies (Citrix XenApp, XenDesktop, VMWare, Azure Virtual Desktop, Windows 365, Amazon Workspaces). Advanced knowledge of IT Security applications (Cisco AMP, Aruba OnGuard, DUO, FireEye, Windows Defender, Windows BitLocker, Checkpoint Encryption and USB allowlisting). ___________________________________________ Bhupesh Khurana Lead Technical Recruiter Email - ***************************** Company Overview: Amerit Consulting is an extremely fast-growing staffing and consulting firm. Amerit Consulting was founded in 2002 to provide consulting, temporary staffing, direct hire, and payrolling services to Fortune 500 companies nationally, as well as small to mid-sized organizations on a local & regional level. Currently, Amerit has over 2,000 employees in 47 states. We develop and implement solutions that help our clients operate more efficiently, deliver greater customer satisfaction, and see a positive impact on their bottom line. We create value by bringing together the right people to achieve results. Our clients and employees say they choose to work with Amerit because of how we work with them - with service that exceeds their expectations and a personal commitment to their success. Our deep expertise in human capital management has fueled our expansion into direct hire placements, temporary staffing, contract placements, and additional staffing and consulting services that propel our clients businesses forward. Amerit Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Applicants, with criminal histories, are considered in a manner that is consistent with local, state and federal laws

Role: Senior Azure DevSecOps Engineer Duration: 6+ months In-person interview is Mandatory at Santa Clara, CA Overview: We are seeking a Senior Azure DevSecOps Engineer to build, maintain, and operate our Azure cloud platform from the ground up. This role follows approved architecture designs and is responsible for turning them into a secure, scalable, and production-ready platform. This individual must be exceptionally strong in Terraform and Infrastructure as Code, have deep hands-on Azure experience, and bring a security-first mindset to everything they build. Manager's Note: Experience in working with ArgoCD and GitOps Model Kustomize and Defender for DevOps Knowledge of Terraform Handling of Azure managed Kubernetes clusters IaaC (experience in writing Yaml files, configuring pipelines in Azure) Troubleshoot production issues by monitoring service Error logs from platform/infra side They should understand Azure thoroughly- how to scale up/down services, Applying IAM policies, Setting up Managed API Gateway, Managed Database services in Azure etc. These are very important Grafana and Prometheus ( Nice to have ) Finally having " security first " mindset. Key Responsibilities: Build, deploy, and maintain Azure cloud infrastructure in alignment with defined architecture Design and manage Infrastructure as Code (IaC) using Terraform Use Terraform Cloud for remote state management, workspaces, and deployment workflows Own and operate CI/CD pipelines for infrastructure and application deployments Deploy and manage observability solutions, including Grafana, metrics, logging, alerting, and dashboards Build and support microservices-based architectures Deploy and manage containerized workloads using Kubernetes (Azure Kubernetes Service - AKS) Monitor platform health and troubleshoot production issues using logs, metrics, and alerts Scale Azure services up and down to meet performance and availability requirements Implement and manage Azure IAM/RBAC policies following least-privilege principles Configure and operate Azure managed services, including: Managed API Gateway Managed database services Networking and security components Partner closely with Software Engineering, Architecture, and Security teams Participate in incident response and root cause analysis from a platform perspective Ensure platforms are secure by design, not secured after deployment Required Skills & Experience (Must Have): Very strong hands-on experience with Terraform Hands-on experience with Terraform Cloud, including: Remote state management Workspaces Workflow-driven deployments Deep expertise in Infrastructure as Code (IaC) concepts and best practices Strong experience building and operating Azure cloud platforms Hands-on experience with Azure Kubernetes Service (AKS) Strong understanding of microservices architecture Experience with containers and Kubernetes Proven experience building cloud platforms from the ground up Strong experience designing and managing CI/CD pipelines Experience implementing observability platforms, including Grafana Strong troubleshooting skills using logs, metrics, dashboards, and alerts Ability to support and stabilize production environments Security Expectations (Critical): Strong security-first mindset Experience implementing least-privilege access, secure configurations, and guardrails Understanding of cloud security fundamentals and secure architecture patterns Comfortable working with security reviews, audits, and compliance requirements Ability to embed security into infrastructure, pipelines, and runtime environments Nice to Have: DevSecOps tooling experience Experience integrating Terraform Cloud with CI/CD systems Knowledge of Azure Monitor, Log Analytics, Prometheus, or similar tools Experience with incident response and on-call rotations Experience operating in regulated or audited environments Cloud cost optimization experience What Success Looks Like: A stable, scalable, and secure Azure platform Infrastructure fully managed through Terraform and Terraform Cloud Reliable CI/CD pipelines with strong observability Faster, safer deployments with reduced production issues Strong collaboration across Engineering, Architecture, and Security teams

Rockland - We build technology to advance impactful work Medicaid is America's most complex health insurer, serving some of the country's highest-need populations, and frontline teams are poorly equipped to navigate its complexity. The result is lower quality of care, wasted resources, and burnt out teams. We are building Rockland, an AI-native, MSO-lite platform to solve these problems by helping Medicaid-serving providers automate workflows, recover lost revenue, and improve quality of care. Co-Founder & CEO Bennett Hauser brings deep early-stage operating and founding experience, with a passion for building products that simplify complex workflows. Rockland was formed in partnership with founding board members Sander Duncan - a seasoned healthcare investor and operator - and Alex Tonelli, co-founder of Funding Circle (IPO) and first investor in Collective Medical (major sale). About The Role We seek a highly driven Founding Engineer to help build Rockland's Medicaid product from the ground up. You'll work directly with engineering and product leadership to build and ship the initial platform, support foundational technical decisions, and turn early customer needs into functional software. You will be in a hands-on, individual contributor role, and will be integral to shaping the future of the Rockland Medicaid offerings. You will: Collaborate closely with the CEO, Engineering, & Product leadership to translate business requirements and PRDs into shipped product Design and build core systems across the tech stack, from data models and APIs to user-facing workflows Apply frontier AI tools (e.g., LLMs and automation frameworks) to design and ship pragmatic solutions that reduce manual, repetitive workflows Drive continuous improvement in engineering processes, tools, best practices, and methodologies Explore and understand new technologies to help Rockland maintain a competitive edge and enhance our platform's capabilities Debug, maintain, and improve core technical systems as they evolve and grow About You This is a high-impact role for someone who is passionate about building transformative technology in a fast-paced, mission-driven environment. You bring a strong balance of technical expertise, flexibility, and execution velocity alongside a strong bias toward action. You are experienced at building external-facing products from the ground up, and crave the scrappy nature and ambiguity of 0 to 1 building. You have: Minimum 4-8 years of experience in software engineering, with significant time spent on building production-ready products in AI, healthcare, or SaaS Strong full-stack development experience and the ability to work comfortably across unfamiliar parts of the system when needed A track record of shipping complex features or systems in fast-moving environments Familiarity with frontier AI/ML tools or platforms, with a strong curiosity to learn and adapt quickly as new technology becomes available San Francisco co-location is preferred but not required

A leading technology company based in Santa Clara, California, is seeking a Staff Machine Learning Engineer to enhance AI features across Apple products. The ideal candidate will have extensive experience in machine learning, particularly in reinforcement learning and large language model post-training. This role promises a competitive salary, stock options, and a comprehensive benefits package including medical, dental, and education reimbursement. #J-18808-Ljbffr

A semiconductor manufacturing firm is looking to hire an experienced EHS Engineer with a manufacturing background to join the existing EHS team. The individual will be responsible for working with the team to conduct JSAs, lead incident investigations, and site audits. A bachelors degree in a relevant major is required. The Role: Work with the EHS team to meet compliance with current OSHA and Cal-OSHA regulations regarding environmental, health, and safety procedures and reporting. Participate in incident investigations, identify root causes, and support the implementation of effective corrective actions. Conduct site safety inspections and actively contribute to the safety committee to ensure a hazard-free workplace. Assist in hazard and risk assessments, environmental impact evaluations, and EHS audits to identify opportunities for improvement. The Candidate: 2+ years of EHS experience in a manufacturing setting. Bachelor's degree in environmental, health, safety, chemistry, engineering, and/or other related fields. Knowledge of state and federal EPA, OSHA, and Cal-OSHA regulations.

An automotive giant is seeking a Staff ML Engineer for their ML Compute Platform to scale backend services and contribute to AI infrastructure. Responsibilities include designing software components, improving system efficiency, and leading initiatives. Candidates should have 7+ years of experience and expertise in languages like Go, C++, or Python, as well as a solid background in distributed systems. Join a team that's transforming mobility and tackling complex engineering challenges with AI applications. #J-18808-Ljbffr

Zyphra is an artificial intelligence company based in Palo Alto, California. The Role: As a Machine Learning Data Engineer - Systems & Retrieval, you will build and optimize the data infrastructure that fuels our machine learning systems. This includes designing high-performance pipelines for collecting, transforming, indexing, and serving massive, heterogeneous datasets from raw web-scale data to enterprise document corpora. You'll play a central role in architecting retrieval systems for LLMs and enabling scalable training and inference with clean, accessible, and secure data. You'll have an impact across both research and product teams by shaping the foundation upon which intelligent systems are trained, retrieved, and reasoned over. You'll work across: Design and implementation of distributed data ingestion and transformation pipelines Building retrieval and indexing systems that support RAG and other LLM-based methods Mining and organizing large unstructured datasets, both in research and production environments Collaborating with ML engineers, systems engineers, and DevOps to scale pipelines and observability Ensuring compliance and access control in data handling, with security and auditability in mind Requirements: Strong software engineering background with fluency in Python Experience designing, building, and maintaining data pipelines in production environments Deep understanding of data structures, storage formats, and distributed data systems Familiarity with indexing and retrieval techniques for large-scale document corpora Understanding of database systems (SQL and NoSQL), their internals, and performance characteristics Strong attention to security, access controls, and compliance best practices (e.g., GDPR, SOC2) Excellent debugging, observability, and logging practices to support reliability at scale Strong communication skills and experience collaborating across ML, infra, and product teams Bonus Skill Set: Experience building or maintaining LLM-integrated retrieval systems (e.g, RAG pipelines) Academic or industry background in data mining, search, recommendation systems, or IR literature Experience with large-scale ETL systems and tools like Apache Beam, Spark, or similar Familiarity with vector databases (e.g., FAISS, Weaviate, Pinecone) and embedding-based retrieval Understanding of data validation and quality assurance in machine learning workflows Experience working on cross-functional infra and MLOps teams Knowledge of how data infrastructure supports training pipelines, inference serving, and feedback loops Comfort working across raw, unstructured data, structured databases, and model-ready formats Why Work at Zyphra: Our research methodology is to make grounded, methodical steps toward ambitious goals. Both deep research and engineering excellence are equally valued We strongly value new and crazy ideas and are very willing to bet big on new ideas We move as quickly as we can; we aim to minimize the bar to impact as low as possible We all enjoy what we do and love discussing AI Benefits and Perks: Comprehensive medical, dental, vision, and FSA plans Competitive compensation and 401(k) Relocation and immigration support on a case-by-case basis On-site meals prepared by a dedicated culinary team; Thursday Happy Hours In-person team in Palo Alto, CA, with a collaborative, high-energy environment If you're excited by the challenge of high-scale, high-performance data engineering in the context of cutting-edge AI, you'll thrive in this role. Apply Today! #J-18808-Ljbffr

A global technology company is looking for a seasoned software engineer to enhance AI capabilities within their observability platform. Candidates should have a strong background in AI/ML systems, cloud computing, and robust technical leadership. This role is pivotal in driving innovation in data analysis and delivering scalable solutions. The ideal candidate will thrive in an agile environment and provide mentorship to junior engineers. Enjoy competitive salaries and benefits while contributing to impactful technology solutions. #J-18808-Ljbffr

A leading security technology firm in California is seeking a skilled Data Science Engineer. You will harness the power of unsupervised machine learning to detect fraudulent activities across various sectors. Ideal candidates have experience with Java/C++, data structures, and machine learning. The company offers competitive pay, flexible schedules, equity participation, health benefits, a collaborative environment, and unique perks such as catered lunches and game nights. #J-18808-Ljbffr

A leading technology company is seeking a Staff Machine Learning Engineer based in Mountain View, CA. In this pivotal role, you will develop and deploy advanced machine learning models to address challenges in today's complex electric grid. You will lead model building efforts, mentor junior engineers, and collaborate on cross-functional projects. Ideal candidates have over 10 years of experience in machine learning, strong Python skills, and familiarity with ML frameworks like PyTorch and TensorFlow. Join us and make a significant impact on the energy future. #J-18808-Ljbffr

A leading technology firm in California is looking for an experienced Staff Machine Learning Engineer. In this role, you will drive the technical direction of machine learning technology, design and build impactful solutions, and lead cross-team initiatives. The ideal candidate has extensive experience in machine learning and is skilled in collaboration and mentorship. This position offers competitive compensation with equity options and emphasizes a diverse and inclusive workplace. #J-18808-Ljbffr

Role: DevOps Engineer Full Time Roles & Responsibilities Key Responsibilities Design, implement, and maintain CI/CD pipelines for PlainID platform components and policy bundles Deploy, configure, and manage PlainID services (PDP, PAP, PIP, Decision APIs) across multiple environments Support policy lifecycle management including versioning, validation, promotion, and rollback Automate infrastructure provisioning using Infrastructure as Code (IaC) tools Ensure high availability, scalability, and performance of authorization services Integrate PlainID with IAM systems (Okta, Azure AD, LDAP) and application platforms Implement security best practices for secrets management, access control, and policy enforcement Monitor system health, logs, and performance; proactively identify and resolve issues Collaborate with security architects, application teams, and SREs to align authorization strategy Support incident management, root cause analysis, and continuous improvement initiatives Required Skills & Qualifications Strong experience as a Senior DevOps Engineer supporting enterprise platforms Hands-on experience with PlainID Authorization Platform (policy deployment, PDP/PAP configuration, policy bundles) Strong understanding of policy-based access control (PBAC), ABAC, and RBAC models Expertise in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or similar) Proficiency in cloud platforms (AWS, Azure, or GCP) Strong experience with Docker and Kubernetes Hands-on knowledge of Infrastructure as Code (Terraform, CloudFormation, ARM) Experience with monitoring and logging tools (Prometheus, Grafana, Splunk, ELK) Strong scripting skills (Shell, Python, or similar) Understanding of security, compliance, and zero-trust principles

Location: San Francisco/Bay Area; must work PST hours. The team spends a few days in office each month. About the Role: We are seeking a seasoned Sr. DevOps Engineer to join Sogeti and help deliver cutting-edge cloud and automation solutions. This role focuses on designing and implementing secure, scalable DevOps practices across AWS environments, enabling continuous integration and deployment for enterprise-grade applications. What You Will Do at Sogeti Develop and implement DevOps strategies for deployment, scaling, and automation across AWS environments. Build and optimize CI/CD pipelines with integrated automated testing using AWS CodeBuild and CodePipeline. Manage containerized workloads leveraging Docker, Kubernetes, and Amazon ECS. Configure and maintain AWS infrastructure, including RDS instances, multi-environment setups, and compliance monitoring. Collaborate with development and QA teams during release cycles and troubleshoot production issues. Apply best practices for cloud security and data protection across application, network, and infrastructure layers. Oversee Cloudflare updates and database operations to ensure performance and security. What You Will Bring Proven experience implementing AWS cloud infrastructure and delivering end-to-end solutions. Proficiency in scripting languages such as JavaScript, Bash, or Python. Expertise in Infrastructure as Code using CloudFormation or Terraform. Hands-on experience with container technologies (Docker, Kubernetes, ECS). Strong knowledge of CI/CD methodologies, DevSecOps practices, and Git workflows. Ability to secure systems across all layers and familiarity with security protocols (HTTPS, TLS, PKI, OAuth). Experience managing AWS RDS instances, including secure configurations, monitoring, and backup strategies. Preferred Skills Experience with Cloudflare and Bitbucket. Familiarity with building and deploying Node.js applications. Knowledge of monitoring tools such as CloudWatch, Splunk, Datadog, and X-Ray. Understanding of GDPR and CCPA compliance requirements. Exposure to scaling applications across multiple geographies. High-level AI usage in day-to-day activities. Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, Business Administration, or a related field. Life at Sogeti: Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work options 401(k) with 150% match up to 6% Employee Share Ownership Plan Medical, Prescription, Dental & Vision Insurance Life Insurance 100% Company-Paid Mobile Phone Plan 3 Weeks PTO + 7 Paid Holidays Paid Parental Leave Adoption, Surrogacy & Cryopreservation Assistance Subsidized Back-up Child/Elder Care & Tutoring Career Planning & Coaching $5,250 Tuition Reimbursement & 20,000+ Online Courses Employee Resource Groups Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being Disaster Relief Programs About Sogeti Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation. Become Your Best | ************* Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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 accommodations do 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. Click the following link for more information on your rights as an Applicant ************************************************************************** Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $135,000 - $185,000. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

About the role We are looking for a Plumbing Engineer / Designer who thinks like a designer first and an estimator second, to support our growing design-build portfolio. This role is heavily involved in preconstruction and design-assist, helping shape system strategies, budgets, and deliverables for complex projects. You will own plumbing system design efforts while also supporting conceptual and detailed estimating. The right candidate is comfortable moving between layouts and risers one moment and quantity takeoffs and ROM budgets the next, always with an eye on constructability, cost, and coordination. What you'll do -Lead plumbing system design efforts for design-assist and design-build projects, including layouts, risers, details, and system narratives. -Ensure designs comply with applicable plumbing codes and reflect real-world constructability and coordination with other trades. -Produce design-assist and design-build documents that support preconstruction, permitting, and handoff to project teams. -Support estimating using industry software: perform quantity takeoffs, assist with scope development, and contribute to conceptual/ROM and design-build budgets. -Participate in value engineering discussions, clearly explaining how design decisions affect cost, labor, schedule, and constructability. -Collaborate closely with preconstruction and project leadership during early project phases as a key contributor to our design-build strategy and growth. What you'll bring -Plumbing Engineer / Designer by trade, with strong experience in building plumbing system design, codes, and constructability. -Proficiency in AutoCAD and Revit; BIM experience is a plus but not required. -Demonstrated experience producing design-assist and design-build documents for commercial or industrial projects. -Experience supporting estimating teams with takeoffs, scope development, and budget input in a design-build context. -Strong understanding of value engineering and how plumbing design choices impact project cost and buildability. -Prior experience in a design-build environment (ideally where most work is design-build) is critical. Why this role matters This is a high-impact position for someone who wants to be at the forefront of projects, influencing both design and budget. You will work closely with leadership during the preconstruction and design-assist phases and play a critical role in our long-term growth in design-build delivery. Equal Opportunity Employer / Disabled / Protected Veterans The Know Your Rights poster is available here: *********************************************************************************** The pay transparency policy is available here: ******************************************************************************************** For temporary assignments lasting 13 weeks or longer, AppleOne is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team. AppleOne participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program. ********************************************** Contents/E-Verify_Participation_Poster_ES.pdf We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

A leading AI technology company based in Palo Alto, CA is seeking a Machine Learning Data Engineer. You will build and optimize the data infrastructure for our machine learning systems while collaborating with ML engineers and infrastructure teams. The ideal candidate has a strong engineering background in Python, experience in production data pipelines, and a deep understanding of distributed systems. This role offers comprehensive benefits, a collaborative environment, and opportunities for innovative contributions. #J-18808-Ljbffr