Quality engineer jobs in Watsonville, CA - 1,292 jobs

A leading technology firm is seeking an experienced Quality Manager in Sunnyvale, California. The role requires a minimum of two years' experience and proficiency in project management frameworks such as PMP and ITIL. Responsibilities include conducting risk reviews, managing system requirements evaluations, and ensuring compliance with quality assurance practices. The firm offers an equal opportunity workplace and values diversity in its hiring practices. #J-18808-Ljbffr

Directly interface with automotive customer quality engineers to collaborate on product quality topics Directly interface with internal teams to address product development quality Lead 8D investigations for quality issues and work to deploy systemic corrective actions Create customer facing 8D reports Assist Sales team on customer quality matters Support customer PPAP and documentation requests Requirements BSEE degree Minimum of 8 years of experience in engineering role (Quality Engineering, Product Engineering, Test Engineering, Applications Engineering) supporting or developing automotive products or processes. Experience with AEC‑Q100 product qualifications Direct Experience managing 8D investigations and creating 8D reports Enjoys working in cross‑functional team environment Enjoys problem solving Preferred Faiure Analysis lab experience APQP, FMEA, Control Plans experience IATF auditor certification or experience VDA auditor certification or experience Project management experience Direct customer support / facing experience Please send us your updated Resume at ****************************** for Review. #J-18808-Ljbffr

Arm has a great opportunity for a Senior Package Layout Engineer in our System-in-Package team! This Engineer will be part of a team responsible for implementing ARM's next generation of SoCs in the IoT, Automotive, and Compute spaces. These complex designs use current and emerging 2.5 and 3D technologies and will require you to work closely with IP, PCB, SI/PI and Systems teams in France, US, UK, and other ARM locations as needed as well as our technology partners. Responsibilities Layouts using best-known practices for DFM, DFA, Signal and Power Delivery Networks Work with minimal supervision and approach challenges with enthusiasm and persistence Bring forward ideas to improve overall team efficiency Communicate and coordinate with external vendors as necessary Required Skills and Experience An Electrical Engineering degree or equivalent Experience with 2.5D and 3D package systems and their SI/PI requirements 4+ years of recent experience in the use of Cadence APD & Allegro toolsets Facilitate standardization by being aware of the bigger picture, including design features which will drive standardization and improve efficiency throughout the department “Nice To Have” Skills and Experience Familiarity with EDA vendor collaboration, tool evaluation, and issue resolution Strong verbal, written communication and presentation skills Programming experience in Python, SKILL, or TCL; able to optimize design methodologies in packaging design In Return We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application, interview process, perform essential job functions, and to receive other benefits and privileges of employment. Our 10x mindset guides how we engineer, collaborate, and grow. Understand what it means and how to reflect 10x in your work: ************************************** Salary Range $165,000-$223,200 per year We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process. Accommodations at Arm At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #J-18808-Ljbffr

About Periodic Labs We are an AI + physical sciences lab building state of the art models to make novel scientific discoveries. We are well funded and growing rapidly. Team members are owners who identify and solve problems without boundaries or bureaucracy. We eagerly learn new tools and new science to push forward our mission. About the Role Join a world-class team of scientists and engineers pushing the boundaries of materials research in a groundbreaking lab where AI and automation unlock discoveries at unprecedented speed and scale. The Periodic Labs team is developing AI that can both simulate science as well as verify its predictions to train on the full scientific method. As part of this mission, the team is building a high throughput experimental materials science lab. For this facility, we are seeking a hands‑on Reliability Engineer to drive uptime and throughput across our experimental platforms. You'll lead maintenance operations, plan and manage the associated machine shop buildout, and design and integrate custom labware and fixtures to improve experimental efficiency and repeatability. Responsibilities Establish preventive and predictive maintenance programs for lab and automation systems and associated CMMS. Lead root cause analysis and develop corrective actions for system failures or bottlenecks. Build and manage a machine shop for fabricating custom components. Design, prototype, and test custom labware tailored to automated experimental workflows. Collaborate with automation, controls, and scientific teams to integrate fixtures into processes. Track and improve equipment uptime, MTBF, and OEE. Build and train a world‑class maintenance team of technicians to support the above systems Qualifications Bachelor's or Master's degree in an engineering field. 5+ years experience in reliability, mechanical, or systems engineering, especially related to supporting materials science/solid‑state chemistry and/or thin‑film processing research equipment Familiarity with precision machining, mechatronics, or custom part design. Experience with CAD (SolidWorks/Fusion), shop tooling, and rapid prototyping. Strong knowledge of preventive maintenance systems. Comfortable collaborating across engineering, automation, and scientific teams. Certification and preferably contribution to accredited standards or bodies relevant to your field - e.g. SMRP, IEEE Reliability Society, relevant ASTMs. Bonus Qualifications We'd love to hear about your accomplishments in globally recognized competitions relevant to your field (e.g. NASA Lunabotics, ASME's competitions, etc.) #J-18808-Ljbffr

Job type: Full Time · Department: Backend Engineer · Work type: Remote About A rchetype AI Archetype AI is developing the world's first AI platform to bring AI into the real world. Formed by an exceptionally high-caliber team from Google, Archetype AI is building a foundation model for the physical world, a real-time multimodal LLM for real life, transforming real-world data into valuable insights and knowledge that people will be able to interact with naturally. It will help people in their real lives, not just online, because it understands the real-time physical environment and everything that happens in it. Supported by deep tech venture funds in Silicon Valley, Archetype AI is currently pre-Series A, progressing rapidly to develop technology for their next stage. This presents a unique and once-in-a-lifetime opportunity to be part of an exciting AI team at the beginning of their journey, located in the heart of Silicon Valley. Our team is headquartered in Palo Alto, California, with team members throughout the US and Europe. We are actively growing, so if you are an exceptional candidate excited to work on the cutting edge of physical AI and don't see a role that exactly fits you below you can contact us directly with your resume via jobsarchetypeaiio. About the Role As a Site Reliability Engineer (SRE) at Archetype AI, you will be responsible for designing, scaling, and maintaining the infrastructure that powers our AI-driven products. You will collaborate with backend engineers and ML researchers to ensure that our distributed platforms are fault-tolerant, performant, and highly available. Core Responsibilities Design, build, and operate highly available distributed systems. Collaborate with engineering and ML teams to ensure reliable deployment of backend services (in Rust, C++ or similar). Implement monitoring, alerting, and observability solutions across infrastructure. Automate deployments, scaling, and infrastructure provisioning using infrastructure-as-code. Diagnose and resolve performance bottlenecks, system outages, and production incidents. Support AI/ML infrastructure for training and serving models at scale, including GPU clusters, pipelines, and inference services. Contribute to infrastructure architecture, standards, and operational best practices. Minimum Qualifications 5+ years of experience as SRE, DevOps, or Systems Engineer. Strong expertise in distributed systems, fault-tolerant architectures, and large-scale production environments. Proficiency in Rust, C++, or other backend languages with willingness to learn. Solid experience with Kubernetes, containers, and cloud platforms (AWS, GCP, Azure). Hands‑on experience with monitoring and observability tools (Prometheus, Grafana, ELK, OpenTelemetry). Experience with data pipelines, messaging systems, and streaming technologies (Kafka, Pulsar, etc.). Familiarity with AI/ML infrastructure (training pipelines, GPU clusters, inference systems). Strong debugging, problem‑solving, and automation mindset (Terraform, Ansible, Pulumi, scripting). Excellent communication and collaboration skills. Preferred Qualifications Experience with real‑time or low‑latency systems. Open‑source contributions to distributed systems or infrastructure projects. Knowledge of security best practices for distributed environments. Experience with edge or embedded systems and sensor‑based infrastructure. Background in multimodal data fusion or physical‑world perception systems. What We Value Ownership - You take initiative, follow through, and care deeply about quality and outcomes. Motivation - You're driven to solve complex problems and continuously raise the bar for yourself and your team. Excellence - You bring discipline, clarity, and rigor to your craft-and help others do the same. Collaboration - You work well with others, mentor generously, and contribute to a high‑trust, high‑performance culture. #J-18808-Ljbffr

FLUIX is building the AI operating system that plans, designs, and optimizes AI infrastructure. We are based in Silicon Valley. We specialize in providing AI-driven solutions for data centers and power providers, leveraging cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) technologies. Our mission is to double America's compute capacity without building new data centers. We are seeking a skilled Site Reliability Engineer to join our growing team. The ideal candidate will help ensure the reliability, scalability, and performance of our hybrid-based (Cloud & On-Prem) platform while supporting our AI/ML infrastructure. You will work closely with our engineering, AI, and operations teams to build and maintain robust systems that support our cutting-edge solutions. Your expertise in ML/AI and experience with data center sites will be crucial in driving the success of our platform. Who you'll work closely with Founder & CEO Chase Overcash CTO What you'll do Design, implement, and maintain scalable systems while optimizing performance, ensuring high availability and disaster recovery, and assisting with codebase refactoring for modular deployment. Develop and maintain automation tools to streamline operations, improve efficiency, and automate repetitive tasks to enhance system reliability. Collaborate with engineering and data science teams to integrate ML and AI models into production environments, while ensuring seamless integration and high performance of cutting-edge models within our technology stack. Identify areas for improvement and drive initiatives to enhance system reliability and performance, while staying updated on industry trends and advancements in SRE practices, ML, and AI technologies. Respond to and resolve incidents to minimize impact and ensure timely resolution, while conducting post-incident reviews and implementing improvements to prevent recurrence. Create and manage multiple cloud instances (dev, staging, test), optimize cloud infrastructure and data center operations, and ensure the security and compliance of both infrastructure and applications. Your background Bachelorʼs degree in Computer Science, Engineering, or a related field (or equivalent experience). Proven experience as a Site Reliability Engineer or similar role in a SaaS environment, with a strong background in managing and optimizing cloud infrastructure (AWS preferred, or GCP, Azure), experience with ML and AI technologies, and familiarity with data center operations integrations. Proficiency in programming and scripting languages (e.g., Python), experience with containerization and orchestration tools (Kubernetes), a strong understanding of networking, security, and performance optimization, and knowledge of CI/CD pipelines and DevOps practices. Excellent problem-solving skills with attention to detail, strong communication and collaboration abilities, and the capacity to thrive in a fast-paced, dynamic startup environment. Culture Fit We are looking for obsessed individuals who want to give it their all. We are not afraid to get our hands dirty with physical and software systems. We are eager to visit and work with clients and understand the importance and gravitas of their mission-critical work. We are eager to come into the office and on-site, as our work directly affects physical environments. Due to our mission-critical work, we understand and our eager to help our teammates and co-workers during holidays, weekends, and emergencies. We are cordial and over-communicate with teammates, co-workers, and management. Attractive compensation package, including equity options. Comprehensive health, dental, and vision insurance, along with other standard benefits. A dynamic and collaborative San Francisco Bay Area work environment. Opportunities for professional growth and development, with the chance to shape the future of technology in the industry. #J-18808-Ljbffr

theklicker is an online platform specializing in electronic product price comparison, enabling users to browse prices across multiple booking sites effortlessly. We are dedicated to being a one-stop solution for purchasing electronic products. With a focus on delivering the best user experience, theklicker empowers users to make informed purchasing decisions quickly and efficiently. Role Description This is a full-time on-site role for a Site Reliability Engineer - Kubernetes, based in Palo Alto, CA. The role involves maintaining and optimizing system reliability, managing infrastructure, troubleshooting technical issues, and supporting software deployments. The Site Reliability Engineer will work closely with development and operations teams to ensure seamless operations and robust technology solutions. Qualifications Proven expertise in Site Reliability Engineering and troubleshooting complex system issues Experience in Software Development with a strong understanding of coding best practices Proficiency in System Administration, managing Linux/Unix environments, and implementing automation scripts Knowledge of Kubernetes and infrastructure management Strong problem-solving, analytical, and communication skills Experience with monitoring and incident management tools is a plus Bachelor's degree in Computer Science, Engineering, or a related field #J-18808-Ljbffr

A leading quantum computing company is seeking a Site Reliability Engineer to join their OS/Platform team in Palo Alto. This role involves maintaining the health and performance of services through effective monitoring using Grafana, Prometheus, and more. The ideal candidate will have extensive experience in SRE or DevOps roles, hands-on expertise with observability tools, and strong automation skills. This position offers a competitive salary and unique opportunities in the evolving field of quantum computing. #J-18808-Ljbffr

A leading AI technology company seeks a Senior Manufacturing Process Engineer to develop and optimize manufacturing processes. The role involves implementing new technologies, improving product quality, and collaborating with cross-functional teams. Candidates should have a bachelor's degree and at least 5 years in manufacturing process engineering. This position offers a competitive salary range of $175,000 to $275,000 annually with potential bonuses. #J-18808-Ljbffr

A forward-thinking technology firm in Palo Alto seeks a Site Reliability Engineer to ensure the reliability and performance of their HPC infrastructure powering AI research. The role demands collaboration with cross-functional teams and responsibilities include designing scalable systems and troubleshooting complex issues. Ideal candidates should have 3+ years in SRE, DevOps, or systems engineering, and a strong background in Linux, scripting, and cloud technologies. The position offers a competitive salary range of $180,000 - $440,000 USD along with comprehensive benefits. #J-18808-Ljbffr

GEICO . For more information, please .GEICO is seeking an experienced Distinguished Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms and applications. You will help drive our enterprise transformation by establishing engineering excellence as a core mission, with a specific focus on organizational resilience, strategic risk management, and rigorous technical governance. This role demands mastery of reliability, availability, software engineering, and best practices in BCDR.**Position Description**Our Distinguished Engineer works with Principal and Senior Engineers to innovate and build new systems, dramatically improve, and enhance existing systems, and identify new opportunities to apply deep knowledge to solve critical enterprise problems. You will lead the technical strategy and execution of a roadmap that increases product delivery velocity while ensuring absolute platform resilience. The ideal candidate has a deep understanding of technology, risk management, Site Reliability Engineering (SRE) principles, and strategic planning to design and implement resilient systems that safeguard our business from potential threats, enforce organizational compliance, and ensure predictable operation.**Position Responsibilities**As a Distinguished Engineer, you will: This domain focuses on establishing the core requirements for enterprise survival and recovery from major disruptions. The Distinguished Engineer is responsible for driving the technical BCDR strategy, ensuring it aligns with critical business and regulatory goals. This involves conducting comprehensive risk assessments, leading the architecture of highly resilient systems (embedding BCDR early in the design phase), and defining organization-wide The role is centered on institutionalizing technical excellence across the organization. The Distinguished Engineer serves as a key leader within the **Architecture Review Board**, setting and rigorously enforcing architectural standards, policies, and blueprints. Responsibilities include ensuring that all major technology investments are strategically aligned with business objectives and compliance requirements, enforcing domain consistency across architecture layers, and driving strategic modernization efforts to maximize scalability and coherence. This function transitions strategic resilience into operational reality, leveraging Site Reliability Engineering (SRE) principles. The Distinguished Engineer leads the SRE strategy by establishing and monitoring and error budgets to effectively balance feature velocity with mandatory stability. Key duties include developing and maintaining comprehensive incident response plans, runbooks, and playbooks, driving automation to achieve low As the senior technical individual contributor, the Distinguished Engineer is tasked with deep organizational and financial influence. The role requires acting as a trusted advisor to executive stakeholders on resilience and governance matters, while simultaneously serving as a role model and mentor to coach senior and principal engineering talent. Finally, the DE analyzes cost and forecast data, playing a critical role in strategic financial stewardship, particularly in **Cloud Spend Optimization** related to stateful services and data persistence.**Qualifications**Deep knowledge of SRE practices, methodologies, and principles, along with a solid understanding of cloud-based compute, network, and storage technologies. Strong background in incident management (a core function of Case Management in platform operations), including the ability to create incident response playbooks, runbooks, and perform rigorous post-incident analysis to drive continuous improvement in reliability and availability. Expertise in distributed systems architecture, replication topologies, and distributed consistency patterns to meet stringent RTO and RPO requirements.In-depth knowledge of hybrid cloud architecture, IaaS and PaaS technologies, container orchestration platforms (e.g., Kubernetes), and cloud efficiency. Experience with infrastructure automation, tooling, and configuration management frameworks (e.g., Ansible, Terraform). Exceptional leadership and communication skills, with a passion for mentoring and fostering professional growth. Visionary thinker with the ability to anticipate future challenges and opportunities in resilience and governance.**Experience** **12+ years** of professional software development experience **10+ years** of experience with architecture and design of experience in open-source frameworks**6+ years** of experience with AWS, GCP, Azure, or another cloud service **Education** Bachelor's degree in computer science, Information Systems, or equivalent education or work experience.* Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being.* Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.* Access to additional benefits like mental healthcare as well as fertility and adoption assistance.* Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.For more than 75 years, GEICO has stood out from the rest of the insurance industry! We are one of the nation's largest and fastest-growing auto insurers thanks to our low rates, outstanding service and clever marketing. We're an industry leader employing thousands of dedicated and hard-working associates. As a wholly owned subsidiary of Berkshire Hathaway, we offer associates training and career advancement in a financially stable and rewarding workplace. #J-18808-Ljbffr

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary We are seeking a Senior Site Reliability Engineer (SRE) specializing in Observability to join RivianVW's Data Platform - Production Engineering team. In this role, you will design, implement, and scale robust observability systems to ensure the health, performance, and reliability of our production environment. You will collaborate closely with cross-functional teams to create telemetry solutions that provide actionable insights into our distributed systems. Responsibilities Observability Platform Design: Architect, implement, and maintain observability systems, leveraging tools like Datadog, LGTM stack, OpenTelemetry, and Vector to enable real-time performance monitoring, logging, and alerting. Telemetry Optimization: Evolve and scale telemetry pipelines to ensure low latency and high availability for metrics, logs, and traces across multi-cloud environments. Performance Engineering: Proactively identify performance bottlenecks, optimize systems, and provide recommendations for reliability improvements. Scalable Automation: Implement automation solutions to scale systems sustainably while driving improvements in reliability and deployment velocity. Incident Management: Collaborate with the incident response team to establish data-driven debugging and troubleshooting processes using observability data. Tooling Development: Create and maintain self-service observability tools and dashboards to empower teams across the organization. Cross-functional Collaboration: Partner with development, DevOps, and infrastructure teams to define SLOs/SLIs and ensure observability is embedded throughout the software lifecycle. Qualifications Educational Background: Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. Experience: 5+ years in Site Reliability Engineering or a related role with a strong emphasis on observability. Technical Expertise: Proficiency in designing and operating observability platforms with tools like Prometheus, Grafana, Loki, Jaeger, or Datadog. Experience with OpenTelemetry and distributed tracing in microservices architectures. Deep knowledge of Kubernetes (e.g., EKS), ArgoCD, and Crossplane. Programming Skills: Strong proficiency in Python, Go, or similar languages for building automation and custom telemetry solutions. Cloud & Systems: Familiarity with multi-cloud setups, containerization (Docker), and Linux system fundamentals. Soft Skills: Exceptional problem-solving, communication, and a data-driven approach to decision-making. Pay Disclosure Salary Range/Hourly Rate for California Based Applicants: $146,900 - $194,610 USD Actual Compensation will be determined based on experience, location, and other factors permitted by law. Benefits Summary: Rivian and Volkswagen Group Technologies provides robust medical, prescription, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and their children up to age 26. Coverage is effective on the first day of employment. Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian and VW Group Technologies ("Rivian and Volkswagen Group Technologies") may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information. Please note that we are currently not accepting applications from third party application services. #J-18808-Ljbffr

An innovative startup based in Mountain View, CA is looking for a Machine Learning Engineer to focus on ML research and software engineering. The role involves training large language models, analyzing experiment results, and contributing to the development of AI infrastructure. Ideal candidates will have strong software engineering skills and a deep curiosity about AI technologies. The company values in-person collaboration in a dynamic startup environment. #J-18808-Ljbffr

A leading technology innovation organization is seeking a Machine Learning Engineer to build cognitive engines for optimizing industrial systems. The ideal candidate will pioneer dynamic knowledge graphs, develop advanced reasoning architectures, and construct resilient data pipelines. This role requires a Bachelor's degree, 3+ years of experience in machine learning, and expertise with LLMs and VLMs. The position offers competitive salary and benefits in Mountain View, CA. #J-18808-Ljbffr

A technology company is seeking a Platform Validation Engineer to ensure the reliability and performance of their GPU servers. This role involves developing test plans, debugging hardware and software interactions, and automating validation workflows. Candidates should have a Bachelor's or Master's degree in EE or CS with over 5 years of experience in GPU server platform validation. The position offers a hybrid work model at the Santa Clara headquarters. #J-18808-Ljbffr

HCLTech is looking for a highly talented and self-motivated Manufacturing Engineer to join it in advancing the technological world through innovation and creativity. Job Title: Manufacturing Engineer Position Type: Fulltime Location: Milpitas, CA Responsibilities: Manufacturing Process & Documentation Manage general manufacturing processes including BOM management, assembly procedures, tools, and drawings. Maintain accurate documentation and ensure compliance with established standards. Production Support Provide day-to-day manufacturing production support. Drive process improvements, conduct root cause investigations, and perform failure analysis. Redline and update manufacturing instructions and test methods as needed. Change Management Execute change order processes with proper reasoning and justification. Manage change requests requiring impact assessments, coordinate meetings with cross-functional teams, and ensure timely closure. Validation & Qualification Prepare IQ/OQ/PQ protocols in line with standard procedures. Organize review meetings with the validation board and ensure report completion and closure. Conduct periodic reviews of validation plans to align with current state. Risk & Compliance Demonstrate proficiency in PFMEA and risk assessments at both process and product levels. Ensure adherence to IEC and EMC standards and medical regulatory requirements. Technical Expertise Interpret and create/edit electrical schematics and drawings. Collaborate with Quality teams regularly. Perform NCMR disposition per SOP guidelines. Troubleshoot component-level issues related to PCBA, electrical designs, test fixtures, tools, and equipment. Build electro-mechanical test fixtures/equipment/tools based on specifications. Perform preventive maintenance of equipment and fixtures periodically. Manage End-of-Life (EOL) and component obsolescence. Audit & Compliance Support audits, address observations, and implement corrective actions. Own NC and CAPA processes and deliver on time. Design & Development Work with CAD models and PCB layouts. Write technical reports for component evaluations and engineering studies. Systems & Tools Proficient in SAP and Agile systems. Cross-Functional Collaboration Communicate effectively with cross-functional teams, buyers, planners, suppliers, and calibration coordinators. Provide project updates to senior management and take ownership of deliverables. Work closely with technicians to collect data for continuous improvement. Pay and Benefits Pay Range Minimum: $71000 per year Pay Range Maximum: $108000 per year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to ****************** for investigation. Compensation and Benefits A candidate's pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year. How You'll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

A leading technology company in Cupertino is seeking a Machine Learning Engineer to improve ad relevance and quality. The role involves designing intelligent systems for content evaluation and user satisfaction. Ideal candidates will have experience in ML, particularly in NLP and machine learning in ad tech. Competitive salary range is between $147,400 and $272,100, with additional benefits including stock options and comprehensive health coverage. #J-18808-Ljbffr

A cutting-edge materials research lab in Menlo Park seeks a Reliability Engineer to lead maintenance operations and optimize experimental systems. The ideal candidate will have a relevant engineering degree and extensive experience in reliability and systems engineering, particularly in materials science. Responsibilities include establishing maintenance programs, managing a machine shop, and designing labware for automated workflows. Join this innovative team to contribute to groundbreaking scientific discoveries. #J-18808-Ljbffr

A leading electric vehicle manufacturer in Palo Alto is seeking a Design-for-Reliability Engineer to enhance the reliability of low voltage electronics in their vehicles. The role involves monitoring product performance, utilizing statistical methods, and collaborating with manufacturing teams. The ideal candidate has a Bachelor's degree in Engineering and over five years in reliability engineering. Salaries are competitive, ranging from $146,900 to $194,610 based on experience. #J-18808-Ljbffr