Manufacturing Engineering Lead

About HarkHark is at the forefront of artificial intelligence, dedicated to crafting sophisticated, personalized intelligence systems. Our innovative approach merges proactive, multimodal capabilities, enabling interaction through speech, text, vision, and enduring memory.We are revolutionizing the interface between humans and machines by integrating our int…

Veeam is recognized as the Data and AI Trust Company, dedicated to empowering organizations to gain a comprehensive understanding of their data and AI, ensuring they are secure and resilient to facilitate the safe scaling of AI technologies. As a frontrunner in data resilience and security posture management, Veeam is expertly positioned at the intersection of identity, data, security, and AI risk management. With its headquarters in Seattle and a presence in over 30 countries, Veeam safeguards the operations of more than 550,000 customers globally, who rely on us to keep their businesses thriving. Join us in our fearless journey forward, as we grow, learn, and make a significant impact for some of the most prominent brands in the world.About the RoleWe are seeking a talented Analytics Engineer to become a vital part of our internal Data Management team, enhancing data-driven decision-making throughout the organization. In this pivotal role, you will be responsible for designing and maintaining scalable data models, pipelines, and transformation processes that are essential for analytics, reporting, and data science initiatives. You will work in close collaboration with analysts, data scientists, and engineering teams to ensure the data is reliable, efficient, and structured to support valuable business insights and strategic objectives.What You’ll DoDesign scalable and dependable data marts and transformation processes to meet analytics and reporting requirements.Collaborate with data analysts, data scientists, and business stakeholders to comprehend data requirements and convert them into effective data solutions.Develop optimized data models and schemas that facilitate efficient storage, retrieval, and analysis of large datasets.Create ETL and ELT pipelines that transform raw data from diverse sources into structured datasets for analytics and reporting.Partner with data, architecture, and DevOps teams to ensure the scalability, performance, and reliability of data systems.Monitor data pipelines and systems to troubleshoot issues and identify areas for enhancement.Document data architectures, flows, and processes to promote transparency, collaboration, and maintainability.

Join FloQast as a Solutions Data Engineer and play a critical role in shaping our data-driven solutions. In this position, you will leverage your expertise in data engineering to design, develop, and implement solutions that enhance our operational efficiency and drive success for our clients.

Join our dynamic team as a Technical Lead Component Engineer in San Jose, CA. In this pivotal role, you will lead engineering efforts, ensuring the excellence and reliability of our components. You will be responsible for driving innovation, overseeing project timelines, and collaborating with cross-functional teams to deliver top-notch engineering solutions.

Join FloQast as a Senior Staff Engineer, Data, and become an integral part of our technical leadership team. In this role, you will spearhead the design, implementation, and continuous enhancement of FloQast’s core data platform. You will set the standards for data ingestion, governance, storage, processing, and access that empower our product and analytics systems. Your contributions will establish a robust, scalable, and secure data foundation that enables our engineering, product, and business operations teams to thrive.Note: Visa sponsorship is not available at this time.

Lumilens is seeking an innovative and driven Lead Systems Application Engineer to join our dynamic team in San Jose. This role is essential for leading the development and implementation of advanced software solutions tailored for our systems applications. You will collaborate with cross-functional teams to enhance product functionality and improve user experience.

Join Sonsoft Inc. as a Big Data Engineer specializing in Hadoop and Spark. In this role, you will leverage your expertise in big data technologies to design, develop, and optimize data pipelines that support our innovative analytics solutions. You will work closely with cross-functional teams to transform raw data into actionable insights, driving key business decisions.

Join Our Team as a Data Engineer!Location: San Jose, CAContract Duration: 3+ months (with potential for extension)We are seeking a talented Data Engineer with extensive experience in Big Data technologies. The ideal candidate will have over 8 years of proficiency in Java, Python, and Scala, along with hands-on experience in Spark and Machine Learning. You will play a crucial role in data mining and analysis, transforming unstructured data into actionable insights.Key Responsibilities:Gather and process large-scale raw data through scripting, web scraping, API calls, and SQL queries.Collaborate with the engineering team to design and implement algorithms for data processing.Convert unstructured data into formats suitable for analysis and conduct thorough analyses.Support business decisions with ad hoc analyses as necessary.Extract and manipulate data from various relational databases using quantitative and visualization tools.Guide the selection of appropriate modeling techniques to develop robust predictive models.Establish processes for validating and updating predictive models regularly.Analyze healthcare service utilization patterns to model outcomes and scenarios for innovative healthcare delivery models.Work closely with internal teams to enhance the applicability of predictive models within core software products.Conduct statistical analyses to prioritize initiatives that maximize success.Identify opportunities for improvement and communicate actionable plans.Perform strategic data analyses to meet business objectives.Explore data to uncover opportunities for enhanced business performance.Develop a deep understanding of business processes and strategies to provide insightful analysis to management.

Location: San Jose, CA or New York CityRemote: Considered; travel requiredAbout Tessera Labs: Tessera Labs is at the forefront of transforming how enterprises implement and leverage Artificial Intelligence. Supported by Foundation Capital and driven by a top-tier founding team, we develop multi-agent AI systems that streamline complex business workflows across major platforms such as SAP, Salesforce, Workday, Snowflake, MuleSoft, and beyond.Our Mission: Our goal is to deliver genuine AI automation to enterprises with speed, precision, and measurable outcomes. We prioritize agility, take ownership, and innovate at the cutting edge of applied AI.Why This Role is Essential: This position empowers Forward Deployment Engineers (FDEs) to facilitate swift and secure AI-driven ERP modernization. You will play a vital role in enhancing migration speed, ensuring operational continuity, and enabling data-informed decision-making. Your work will lay the groundwork for enterprise-scale AI and analytical solutions in complex environments, positioning you at the forefront of enterprise AI and ERP transformation.Role Overview: As a Data Engineer, you will collaborate closely with Forward Deployment Engineers (FDEs) to drive rapid ERP modernization and AI transformation for our enterprise clients. Your primary focus will be on data harmonization, cross-system integration, and developing data pipelines, ensuring that AI solutions and enterprise workflows are supported by high-quality, reliable, and well-structured data.This role requires expertise in ETL processes, relational schema modeling, data mapping, data cleaning, and pipeline logic for structured/tabular data. A lightweight MLOps component may be involved, focusing on structured datasets and potentially requiring distributed processing with PySpark or ML data engineering techniques. Note that there are no downstream responsibilities concerning model training, serving, or deployment.Candidates should bring a deeper understanding of ERP-centric data compared to typical ML data engineering roles, along with robust generalist engineering skills to construct scalable, production-grade pipelines. Ideal candidates will have expertise in SAP data coupled with modern data engineering or machine learning enablement experience; strengths in one area with the willingness to learn the other are acceptable.Key Responsibilities:Data Harmonization: Integrate, reconcile, and standardize structured data across ERP, CRM, finance, and analytical systems.

Archer Aviation is an innovative aerospace company located in San Jose, California, dedicated to revolutionizing sustainable air mobility. We are at the forefront of designing and manufacturing an all-electric vertical takeoff and landing aircraft that can transport four passengers while ensuring minimal noise pollution.We set ambitious goals and tackle complex challenges, believing that a diverse team fosters smarter solutions and drives success. Our commitment to creating an equitable and inclusive workplace allows us to celebrate the unique contributions of every team member.About the RoleAs a Design Data Integrity Engineer, your primary responsibility will be to ensure the precision, completeness, and compliance of our engineering drawings and models. You will play a critical role as the quality gate for design data, confirming that all work adheres to drafting standards, dimensioning practices, and configuration management requirements prior to release. Your efforts will directly facilitate the production of error-free, manufacturable, and compliant engineering designs.What You'll DoReview and verify engineering drawings, models, and documentation against company, industry, and regulatory standards.Ensure compliance with ASME Y14.5 Geometric Dimensioning and Tolerancing (GD&T) and ASME Y14 drafting standards.Identify and document errors, inconsistencies, and missing information within design data.Provide constructive feedback and recommendations for corrections and enhancements to design engineers.Validate the accuracy of CAD models and their associated metadata before release.Confirm that drawings accurately reflect design intent while supporting manufacturability and producibility.Collaborate with various design engineering teams across multiple commodity types, ensuring adherence to design standards and configuration management processes.Support drawing release processes within PLM systems such as Teamcenter, Windchill, or Enovia.Coordinate with the Configuration Management team regarding drawing/model issues that may affect change notices or configuration control.Participate in tolerance stack-up and interface checks to ensure fit, form, and function integrity.Contribute to process enhancements that improve drawing quality and release efficiency.

Job Title: Snowflake Developer / Data Engineer (1–3 Years Experience)Employment Type: ContractWork Authorization: US Citizen / Green Card / H4 EADLocation: Open to relocate anywhere within the United StatesJob Description:We are seeking a passionate Snowflake Developer / Data Engineer with 1-3 years of dedicated experience in data engineering and cloud-based data platforms. The ideal candidate will possess hands-on experience with Snowflake, SQL, and various data integration tools to enhance our data warehousing and analytics initiatives.Key Responsibilities:Design, develop, and maintain data pipelines and solutions using Snowflake.Craft efficient SQL queries for data extraction, transformation, and loading (ETL/ELT) processes.Work with structured and semi-structured data in the Snowflake environment.Assist with data warehousing and migration projects.Collaborate with data analysts, developers, and business stakeholders to identify and fulfill data requirements.Optimize data performance, query efficiency, and storage utilization in Snowflake.Support data validation, testing, and troubleshooting of data pipelines.Engage with cloud platforms such as AWS, Azure, or GCP (basic knowledge preferred).

Join Our Team as a Data Engineer!We are seeking a driven Data Engineer with 1–4 years of hands-on experience who is enthusiastic about data engineering and cloud-based data solutions. The successful candidate will demonstrate proficiency in Snowflake, SQL, and various data integration tools to enhance our data warehousing and analytics projects.Employment Type: W2Work Authorization: US Citizen, Green Card Holder, or H4 EADRelocation: Open to relocation anywhere within the United States

Efficient Computer is pioneering the development of the world’s most energy-efficient general-purpose computer processor. Our patented technology utilizes 100 times less energy than the leading commercially available ultra-low-power processors, while being programmable through standard high-level programming languages and AI/ML frameworks. This groundbreaking efficiency enables the possibility of perpetual, pervasive intelligence, allowing AI/ML to operate continuously on a single AA battery for 5-10 years. Our platform's unprecedented energy efficiency empowers IoT devices to intelligently capture and curate first-party data, driving the next major computing revolution.We are looking for a Lead Physical Design Engineer to join our newly established hardware engineering organization. The successful candidate will spearhead the physical design convergence of IPs and complete SOC. You will provide technical leadership from a physical design perspective and will play a key role in hiring and mentoring the PD team to unify all facets of Efficient's processor designs. This position involves hands-on responsibilities, including driving the PNR methodology (Floorplanning, Placement, Clock Tree Design, Routing, and Low Power Design). We adhere to a correct-by-construction philosophy and prioritize the accuracy of PNR flows in relation to signoff considerations. The PD lead will ensure that methodologies are established to balance timing and power tradeoffs, optimizing both aspects effectively. This role is cross-functional, working within a highly integrated team of world-class engineers focused on an energy-efficient processor through integrated hardware/software co-design.This is a unique opportunity to join a hardware engineering organization at its inception and influence our products as we transition from initial stages of product development to market release and scaled volume production. Join us in shaping the future of computing at the edge and beyond!

At Efficient, we are revolutionizing the computing landscape with our cutting-edge, energy-efficient general-purpose processor. Our groundbreaking technology consumes 100 times less energy than the leading ultra-low-power processors available today, while remaining compatible with standard high-level programming languages and AI/ML frameworks. This exceptional efficiency allows for continuous AI/ML operation on a single AA battery for 5 to 10 years, making it easier than ever to harness the power of IoT devices for capturing and curating first-party data that will drive the next computing revolution.We are on the lookout for a CAD Lead - Physical Design Flows and Infrastructure to join our innovative hardware engineering team. This unique opportunity allows you to establish CAD flows and infrastructure from the ground up, shaping the future of our physical design methodologies.As a pivotal member of our newly formed hardware engineering group, you will play a critical role in transitioning our products from initial development stages to market launch and high-volume production. Join us in redefining the future of edge computing!Key ResponsibilitiesDevelop and drive physical design flows and methodologies for advanced FinFET and multi-patterning technologies using Cadence Tempus or Synopsys Primetime.Create repeatable, predictable design processes that are agnostic to specific designs and methodologies.Build infrastructure that enables consistent, rapid design under tight timelines for a diverse range of product lines in the energy-efficient edge AI computing sector.Collaborate closely with physical design team leads to establish comprehensive build and signoff flows.Develop regression frameworks to ensure high-quality flows, allowing engineers to devote over 90% of their time to design tasks rather than tool management.Create quality-checking utilities to enhance design efficiency.Implement a unified environment for managing all collateral specifications (standard cells, memory, PDK, hard IPs) and flow dependencies (cycle time, PVTRC corners, design configurations).Coordinate with third-party vendor resources to optimize workflow.Pursue continuous improvements in flow consistency and efficiency across multiple product lines.

Role overview The Staff Data Center Operations Engineer at Zscaler plays a key role in supporting the performance and reliability of the company’s data center operations in San Jose, California. This position centers on maintaining and improving infrastructure while working closely with teams throughout the organization. The goal is to help deliver consistent, high-quality service across Zscaler’s global network. What you will do Maintain and enhance data center infrastructure to promote reliability and efficiency. Collaborate with cross-functional teams to address operational needs and solve challenges as they arise. Apply technical expertise to ensure that infrastructure remains scalable and dependable as demands grow. Location This position is based in San Jose, California, USA.

Join Our Team as a Data EngineerAt Comtech LLC, we are seeking a seasoned Data Engineer with expertise in Scala, Spark, and Java to enhance our big data solutions. If you have a passion for data mining, analysis, and machine learning, we want to hear from you!Key Responsibilities:Collect and process large datasets using various methods including scripting, web scraping, and API calls.Collaborate with engineering teams to build and integrate algorithms for data processing.Transform unstructured data into analyzable formats and conduct thorough analyses.Support strategic business decisions by performing ad-hoc analyses as required.Extract data from relational databases and utilize statistical and visualization tools for data exploration.Advise on modeling techniques to develop robust predictive models following rigorous statistical methodologies.Establish processes for validating and updating predictive models regularly.Analyze health service utilization patterns and model outcomes for innovative healthcare delivery approaches.Work with analytics and business strategy teams to enhance the efficiency and applicability of predictive models in core software products.Conduct statistical analyses to prioritize initiatives for maximizing success.Identify improvement opportunities and communicate actionable plans.Perform strategic data analyses to meet business objectives.Explore data for insights that can lead to improved business performance.Develop a deep understanding of business processes and goals to provide management with actionable insights.

Join our innovative team at ph7 as a Lead Software Engineer specializing in Linux Device Drivers. In this role, you will leverage your expertise to develop high-performance drivers and contribute to the advancement of our cutting-edge products. You will collaborate with cross-functional teams to ensure seamless integration and functionality across various platforms.

Join Comtech LLC as a Senior Data Engineer, where you will play a pivotal role in transforming raw data into actionable insights. We are seeking a highly skilled professional with extensive experience in Big Data technologies and programming languages.Key Responsibilities:Collect and process large datasets using various techniques such as scripting, web scraping, API calls, and SQL querying.Collaborate with engineering teams to design and implement algorithms for data integration.Transform unstructured data into structured formats for analysis and perform detailed data analysis.Support strategic business decisions through ad hoc data analysis.Extract and manipulate data from relational databases while utilizing statistical and visualization tools.Guide the selection of modeling techniques to create robust predictive models using stringent statistical methods.Establish processes for the validation and updating of predictive models.Analyze healthcare utilization trends and model potential outcomes for innovative healthcare solutions.Work in tandem with business and analytics partners to enhance the efficiency and applicability of predictive models within our software offerings.Conduct statistical analyses to prioritize initiatives that maximize success.Identify opportunities for improvement and communicate actionable plans.Perform strategic research to support business objectives.Explore data to identify opportunities for enhancing business performance.Develop a thorough understanding of business processes to provide meaningful analysis to management.Engage in discussions to clarify business needs and necessary analyses.

We are seeking a highly skilled and experienced Lead Senior Staff Software Engineer specializing in front-end fundamentals to join our innovative team at The Trade Desk. In this role, you will lead the development of cutting-edge front-end solutions that enhance user experience and drive our product's success. You will collaborate closely with cross-functional teams, guiding junior engineers and fostering a culture of excellence in software development.