Quality engineer jobs in Tracy, CA - 1,479 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

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

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

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

Voleon is a technology company that applies state‑of‑the‑art AI and machine learning techniques to real‑world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion‑dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. As a Site Reliability Engineer (SRE), you will work at the intersection of production operations and software development as you improve, manage, and monitor production‑critical infrastructure and data pipelines. At Voleon, many SREs serve together on a Production Operations team tasked with improving shared production infrastructure. Others are embedded with teams of software engineers to improve specific production systems owned by those teams. Voleon SREs work on important real‑world problems and collaborate with passionate and talented colleagues in an empowering, results‑driven environment. This role is a way to make a real difference: your contributions will make our critical systems more reliable, lower operational risk, and increase the efficiency of our engineering effort. Responsibilities Improve fault‑tolerance and maintainability of code in proprietary data pipelines and trading systems Diagnose and fix bugs in code Lead complex deployments Automate manual workflows Track and prioritize outstanding production‑related issues Share an on‑call rotation responding to incidents to ensure the continuous operation of production‑critical systems Requirements Experience with coding and debugging Python Experience with Linux Familiarity with Relational Databases & SQL Sharp analytical and problem‑solving skills and a persistent drive to make things work (better) Strong growth mindset and a passion for learning Strong technical communication skills Attention to detail 2 years of relevant industry experience An undergraduate degree or comparable training in a quantitative field or equivalent, relevant industry experience Preferred Qualifications Familiarity with best practices concerning code maintainability, documentation, quality assurance, continuous integration and deployment Experience supporting production systems Experience with any of the following: gRPC microservices, Postgres, Pandas, Golang, R, Git, Jenkins, Bazel, Prometheus, Grafana, Airflow, Kubernetes The base salary for this position is $120,000 to $160,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation such as bonus compensation and other benefits. Our benefits package includes medical, dental and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match. Friends of Voleon Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 - $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program. Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. #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

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

Join Yorke Engineering, LLC, an Environmental Consulting leader in California that implements Environmental Engineering and Compliance solutions for our clients throughout California. Our mission is to solve environmental compliance problems for industrial and governmental/infrastructure facilities. We are a growing and dynamic organization of highly respected professionals. Yorke Engineering, LLC has assisted over 1,400 client organizations with their Air Quality and Environmental Compliance, Engineering, and Permitting needs. Our philosophy is to efficiently help government and industrial customers with the complex array of environmental laws and regulations. From simple permits to complex agency negotiations, from small companies to the largest of California's organizations, Yorke successfully solves our clients' Air Quality and Environmental challenges. Our team has over 1,000 years of combined environmental experience and consists of engineers and scientists that specialize in Air Quality, Waste, Water, CEQA, Safety, and Industrial Hygiene. We are looking for a sharp Mid to Senior level Air Quality Engineer/Scientist (Environmental Permitting and Compliance) to join our team in Northern CA. This is a full-time position at 40 hours per week from one of our Northern CA offices (Berkeley, San Francisco, or San Jose) during our normal business hours. We offer competitive salaries, a full benefits package including Paid Time Off, Holidays, Full Medical/Dental/Vision, along with a 401k program with a generous company match. Position Summary: The Mid to Senior level Air Quality Engineer/Scientist (Environmental Permitting and Compliance) performs professional engineering work, leading and executing the compliance and permitting functions in relation to Air Quality Regulations and Compliance. This candidate will be reviewing processes and equipment, analyzing permit-related technical and regulatory issues, and communicating those analyses within Yorke, the client organization, with government agencies and with the public at large. The work is challenging, broad in scope, and variable from project to project. The position involves effective communication, decision-making, and time management. The candidate performs other duties as required or assigned. The candidate's experience and qualifications we are seeking include: 5-15+ years of work experience in the Air Quality and/or Environmental industry in an engineering role (preferably in a consulting environment); Experience in the environmental services industry focusing on Air Quality services: Process and equipment review; Air quality permitting under BAAQMD, SCAQMD, SJVAPCD and other Air Districts, including Title V Permitting; RECLAIM implementation and reporting; Annual Emissions Reporting; Air Dispersion Modeling; Air Quality Assessments including Data Analysis and Emission Inventories; General Air Quality Compliance for facilities in CA. Ability to be an active team member on project teams towards project completion within project scope, budget and schedule and ensure quality work product and deliverables; Ability to work with clients, staff, and regulators through effective communication and expertise by fostering a collaborative environment without losing focus of quality; Proven track record or desire to engage in successful regulatory work in dealing with the SCAQMD, BAAQMD, SJVAPCD, EPA, CARB and/or other similar regulatory agencies; Experience or desire to work on-site at client facilities; Prepare reports and submissions in timely manner; Experience with handling highly technical data and technical data interpretation; Highly motivated to continue working in Air Quality environmental field and expand their knowledge and experience; CA Regulatory/Compliance experience is required. Job Requirements: B.S or M.S. degree in Chemical Engineering, Environmental Engineering, or Mechanical Engineering, or other relevant technical degrees from an accredited college (minimum GPA of 3.0); Ability to work collaboratively in a team fashion, handle several projects at once, prioritize work, and work efficiently; Desire to learn or developing technical expertise in environmental rules and regulations; Excellent oral and written communications skills; Experience in conflict resolution and crisis management; Track record of successful analysis, interpretation, and application of rules and regulations towards practical solutions; Ability to think critically and develop solutions; Software Knowledge: Strong Microsoft Excel, Word, Outlook, and Powerpoint skills (required); Microsoft 365 Applications, including Sharepoint (a plus) EIT, CPP or P.E. Certification (a plus).

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

Are you tired of your good old corporate job, working on one project for half a year? Is your passion for making great infrastructure being kept in a box labeled “for later”? Do you enjoy working with smart people and do you want to make their developer experience great? Zendar is looking for an experienced Data Engineer who understands data management, ML model training workflows and their optimization, and is excited to wear multiple hats to make sure engineers stay productive and infrastructure supports them. Our team is a testament of the ability to unite engineers of different backgrounds over a common vision. We do not shy away from reality and its limitations but we also dream big. You don't have to fit in a box. We are not looking for a superhero. But we might be looking for you! Who We Are: Autonomous vehicles need to be able to understand the world around them not only in bright daylight, but also at night, when it is foggy or rainy, or when the sun is shining right in your face. At Zendar, we make this possible by developing the highest-resolution, most information-rich radar in the world. What makes radar powerful - its long wavelength which makes it robust to all sorts of weather and lighting conditions - also makes it really challenging to work with. We have used our deep understanding of radar physics to build radar perception models that bring a rich and complete understanding of the environment around the AV from free space to object detections to road structure. Check out what our technology can do here - all produced with only radar information, no camera and no lidar! Zendar has a diverse and dynamic team of hardware, machine learning, signal processing and software engineers with a deep background in sensing technology. We have a global team of 60, distributed across our sites in Berkeley, Lindau (Germany), and Paris. Zendar is backed by Tier-1 VCs, has raised more than $50M in funding and has established strong partnerships with industry leaders. Who You Are: To support our growing team, we're looking for a Senior Data Engineer to elevate our processes and technologies to the next level. If you are excited about designing and managing the complex signal processing data engineering pipelines, we'd love to hear from you! We have a rapidly growing corpus of driving data, encompassing tens of thousands of kilometers of real-world driving on three continents, and a total data size of multiple petabytes. We add to that on a daily basis with data coming from our fleet of data collection vehicles. The Data team is responsible for indexing, processing, and categorizing all this data so that we make it frictionless to use it to test, train, and improve our driving models. Your responsibilities will focus on developing ETL data pipelines to guarantee data quality and to extract rich insights about the data that are available for downstream use. Some examples of data insights include categorizing driving behaviors, environments, and road user types. Our ETL pipelines are not your typical pipelines - they are robotics tasks such as vehicle calibration, driving behavior analysis, and video understanding models. You will be based in our Berkeley site but join a Data Engineering team which is distributed between Berkeley and Europe. As the 6th member of the Data team and the 3rd in Berkeley, you will have a lot of visibility and responsibility within the team. This type of environment is perfect for someone who is comfortable managing multiple responsibilities simultaneously, enjoys interacting frequently with other engineers, and is opinionated about what to prioritize and how to build things. Key Responsibilities:ML Data Management: Maintain and grow a robust and reliable data lake in GCP for our proprietary training and evaluation data. Ensure robust data quality control with carefully designed algorithms. Grow our data lookup capabilities for data selection for labeling and model training. Own data quality algorithms and actively monitor data corruption in the datalake. Support for ML Engineers: Serve as liaison to support Berkeley, Paris & German office ML engineers (Human annotation processing, data calibration, data upload issues) Setting and Maintaining Infrastructure Standards: Be a go-to resource for solving infrastructure-related challenges, fostering a culture of ownership and accountability in the team. What We're Looking For: 5+ years in Data Science, MLOps or similar Strong algorithmic and optimization skills, especially in statistics and signal processing. Deep experience with cloud computing platforms (GCP or other), production-grade database design/deployment and Cloud-native ML workflow. Broad knowledge of data engineering and MLOps tools (Lambda, Kubernetes, Terraform). Proficiency with Python and SQL queries. A proactive approach to solving problems and willingness to take on new challenges as they arise. Somebody with solid opinions based on experience, yet open-minded and flexible to find the best solution for the situation. Ability to work from the office in Berkeley at least from Tuesday to Thursday. Bonus Points: Prior experience in ADAS or sensor data processing pipelines (radar, lidar). Familiarity with Google BigQuery and related data visualization tools. Experience with production-grade serverless batch/streaming applications. Hands‑on experience in the management of large datalakes (>1PB). NoSQL database design/deployment experience. A track record of excelling in ambiguous or evolving roles. What You Would Work On: When sorting through 1000s of hours of data, understanding what is in our training data is critical! Leveraging existing camera object detection models and automating data labeling is the logical next step, significantly reducing manual effort and streamlining the data pipeline. As the research requirements change, the camera model integration needs to seamlessly adjust as well. Sensors and vehicle calibrations can drift unexpectedly, which if undetected significantly harms the quality of results. We need to automatically identify calibration drifts and correct them before data is consumed, so that data users can have high trust in the quality of the data they work with. Enriching our ground truth data with KPIs designed by the Product and push them to production. Our signal processing pipelines are using hundreds/thousands of VM hours, the monitoring of their performance can be tricky, enhancing our tooling is essential to select the next candidate for cost optimisation. What We Have To Offer: Opportunity to make an impact at a young, venture-backed company in an emerging market Collaboration with smart and motivated engineers and ability to execute your vision in a high impact role Competitive salary and benefits Zendar is committed to creating a diverse environment where talented people come to do their best work. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Zendar participates in E-Verify #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