For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . Job Description We are looking for a Frontend Software Engineer to join our team building next-generation cloud-based cybersecurity solutions. You will contribute to the design, development, and maintenance of modern web applications that help protect customers from evolving security threats. As part of a collaborative engineering team, you will work across frontend and backend technologies, helping deliver scalable and reliable cloud services while building intuitive user experiences. Our development environment spans AWS cloud services and multiple endpoint platforms, providing opportunities to learn and grow across a diverse technology stack. Role and Responsibilities Design, develop, test, and maintain web applications using Vue3.js, Node.js, and TypeScript . Build responsive and user-friendly frontend experiences with a strong focus on usability and performance. Collaborate with product managers, UX designers, QA engineers, and other developers to deliver high-quality features. Troubleshoot issues, debug defects, and participate in improving application reliability and performance. Contribute to code reviews, technical discussions, and engineering best pract
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For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . Job Description We are seeking a talented Client Software Engineer to join our team developing cloud-managed endpoint security applications. In this role, you will contribute to the design, development, and maintenance of endpoint security software across multiple platforms, helping deliver secure and reliable experiences for our customers. Our development environment spans Windows, macOS, Linux, Android, iOS, and AWS cloud technologies, providing opportunities to work across a broad range of technologies while growing your expertise in cybersecurity and endpoint protection. Role and Responsibilities Develop and maintain client-side software for Windows and Linux platforms. Write clean, efficient, and maintainable code using C/C++, Golang, and other relevant technologies. Collaborate with QA, product management, and other engineering teams to deliver high-quality features. Debug, troubleshoot, and resolve software issues across multiple platforms. Participate in code reviews and contribute to engineering best practices. Help improve application performance, stability, and security. Learn and apply modern software development tools, processes, and technologies. Required Skills and Qualifications: Bachelor's degree in C
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Financial Systems owns the data and reporting foundation for Accounting, and the operational reliability of the pipelines that power reporting, reconciliations, and automation. We are building a single source of truth for financial information using dbt and Snowflake to enable scalable BI and process automation across the org. We are hiring an Analytics Engineer focused on maintaining and optimizing our finance data platform , improving reliability, efficiency, and performance of our pipelines and core datasets. This role is ideal for someone who enjoys operational ownership, building strong foundations, and making data systems easier and safer to run at scale. What You’ll Do Build and maintain dbt models and core datasets that support Accounting reporting and downstream automation use cases. Improve platform reliability through strong testing patterns, alerting, and runbooks. Own and document data pipelines and lineage, ensuring changes are understandable and auditable. Identify, troubleshoot, and resolve production data issues, and drive root-cause fixes. Optimize performance and cost in Snowflake and dbt to support scaling needs. Partner with engineering and business stakeholders to translate requirements into durable, well-tested data assets. Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub-based workflows). What We Look For 3+ years of experience in analytics engineering, data engineering, or similar roles working with production data systems. Strong SQL skills and hands-on experience building in dbt (modeling, testing, documentation). Experience operating in a modern development workflow: Git and pull-request based collaboration (GitHub preferred). Familiarity with standard IDEs and collaborative debugging practices. E
LilEngine is leading the Lakehouse, a company-strategic effort to make Apache Iceberg a first-class citizen in Spotify's data ecosystem. We're building it in close collaboration with Google, on open standards, so that different kinds of data are queryable the same way and teams can bring the right engine, from BigQuery to Dataflow to Trino, to the job. The work has two parts. Hecate enables Iceberg for the Parquet datasets that already exist across Spotify, so teams get the benefits without rewriting their data. Alongside it, we're building the foundations of a new Lakehouse architecture that lets workflows write Iceberg tables natively. We're shipping the MVP this cycle, and you'll help shape what comes next. We also own BigQuery for all of Spotify. Thousands of engineers, data scientists and pipelines depend on it every day, which puts us on the critical path for storing, finding and querying data. We're judged on reliability, cost efficiency and how quickly we unblock users when something breaks. This backend role sits where open table formats, cloud data warehouses and processing engines meet. What You'll Do Build and evolve the lakehouse: Help build the foundations that let data workflows read and write Iceberg tables directly, from this cycle's MVP to a production-grade platform. Drive adoption: Help migrate data pipelines from across Spotify onto the new stack, making the move as painless as possible through tooling, standards and hands-on support. Own BigQuery at Spotify scale: Manage reservations and capacity, build monitoring and anti-pattern detection, and develop tooling like the BigQuery MCP server so teams can use BigQuery well. Keep the platform healthy: Take part in a weekly support rotation and shared on-call. You'll debug production issues that span storage formats, catalog APIs, Kubernetes reconciliation, GCP IAM and BigQuery internals,
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration. We're looking for a talented and motivated Software Engineer to join the Cortex AI Functions Platform team. AI functions are how Snowflake customers call AI directly from SQL, running models over their own tables without moving data out of the platform. Our team builds the platform that makes this work at data warehouse scale, where a single statement can expand into a large volume of inference requests that must complete predictably, within expected cost, and without compromising the query when a dependency degrades or fails. Current projects include a new architecture for multi-modal inference, quality gates that let us ship new functions and models with confidence at batch scale, and support for input data beyond plain text. Alongside these, we work continuously on throughput, cost and reliability as customer usage grows, and on making failures in the inference path easier to detect, diagnose and recover from. For this role, you don’t need to have a research background
About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Build agents that learn from the work they do. Ema builds AI employees that carry out complex workflows across enterprise applications. Our ML team works on the loop that makes them better: production traces become data, data becomes training and evaluation, and better agents produce better traces. The hard part is deciding which intervention will improve behavior in the next real workflow. The problem space Harnesses and inference-time compute. Design context, tools, skills and orchestration for multi-step agents, including work across documents, slides, images, audio and video. Test where extra reasoning, search or verification earns its latency and cost. Build self-improvement loops with explicit permissions, evaluation gates and rollback. Agent post-training. Curate trajectories for SFT, optimize preferences, or run RL on real agent tasks. Investigate methods such as DPO, GRPO or DAPO where they fit; compare process and outcome supervision, shape rewards, and distill useful frontier behavior into smaller models. Measure whether gains transfer beyond the training environment. Environments and rewards. Turn enterprise workflows into reproducible training
About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Build agents that learn from the work they do. Ema builds AI employees that carry out complex workflows across enterprise applications. Our ML team works on the loop that makes them better: production traces become data, data becomes training and evaluation, and better agents produce better traces. The hard part is deciding which intervention will improve behavior in the next real workflow. The problem space Harnesses and inference-time compute. Design context, tools, skills and orchestration for multi-step agents, including work across documents, slides, images, audio and video. Test where extra reasoning, search or verification earns its latency and cost. Build self-improvement loops with explicit permissions, evaluation gates and rollback. Agent post-training. Curate trajectories for SFT, optimize preferences, or run RL on real agent tasks. Investigate methods such as DPO, GRPO or DAPO where they fit; compare process and outcome supervision, shape rewards, and distill useful frontier behavior into smaller models. Measure whether gains transfer beyond the training environment. Environments and rewards. Turn enterprise workflows into reproducible training
Job Details: Job Description: About the Group Global Construction Engineering (GCE) is responsible for the design and engineering of all of Intel's major manufacturing and cleanroom projects across the globe. We are a team of specialized in-house architects and engineers in a highly collaborative environment. We work together with our factory, operations, and supply chain partners to deliver some of the most technically challenging construction projects in the world with demanding schedule and cost constraints. Our vision is to become the world leader in semiconductor foundry construction engineering. We are growing our team to accelerate Intel Foundry's manufacturing roadmap. We are looking for world-class technical talent to join our team. If you enjoy working with the latest technology in a rewarding fast-paced environment this is the right place for you. Everywhere you go you'll find an opportunity to make a difference. In any given workday you will be given responsibility to innovate and create an impact to our business. This position is with the Tool Install Central Engineering (TICE) team. TICE focuses on the construction designs required to install the semiconductor manufacturing equipment around the globe. We design thousands of tools each year to keep our factories running on the most advanced manufacturing equipment. This is a hybrid position at the Ocotillo campus in Chandler, Arizona. As a Civil, Structural, Architectural (CSA) Project Engineer - Tool Install Engineering your responsibilities will include but are not limited to: Provide engineering solutions and breakthroughs to enable and deliver tool install construction projects to meet cost, schedule, duration an
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Your Opportunity Join a high-impact engineering team where your ideas can shape performance across a global semiconductor manufacturing network. In this role, you will lead Spares Engineering initiatives across cost, productivity, quality, and supply resilience , while owning broader strategic programs that extend beyond spares. You will combine technical expertise, data-driven decision-making, and program leadership to solve complex challenges, influence stakeholders across sites and functions, and deliver scalable solutions with measurable business impact. What You Will Lead Spares Engineering Leadership Lead end-to-end Spares Engineering programs that improve equipment availability, cost efficiency, quality, productivity, and supply resilience across the network Serve as the network technical expert and trusted advisor to drive assigned spares categories and related programs Set and execute global category strategies, including lifetime extension, CCRR, alternate sourcing, consumption reduction, and othe
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. The Online Storage team provides a set of managed databases as a platform, used to persist data for all Affirm services. Our platform enables self-service access to OLTP storage systems, including Relational DB(MySQL), KV(DynamoDB), Distributed SQL(TiDB) and Cache(Redis). As a team, we are responsible for various data and access patterns, including but not limited to mission-critical financial transactional data, data science models, and any new persistence use case. These responsibilities require us to learn and gain deep expertise in various database systems. We are looking for a talented Senior Software Engineer who can architect, build and scale Relational and Distributed SQL Databases identifying opportunities to improve how we build, productionize, operate and improve this mission-critical infrastructure to unlock substantial value within our business. You’ll have the opportunity to directly influence your team’s roadmap in close collaboration with your peers, share your knowledge and expertise with others and learn from some of the best on our shared mission to deliver honest financial products that improve lives. What you’ll do You will build and operate the control plane for large-scale distributed SQL databases such as MySQL and TiDB, automating provision
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. The Online Storage team provides a set of managed databases as a platform, used to persist data for all Affirm services. Our platform enables self-service access to OLTP storage systems, including Relational DB(MySQL), KV(DynamoDB), Distributed SQL(TiDB) and Cache(Redis). As a team, we are responsible for various data and access patterns, including but not limited to mission-critical financial transactional data, data science models, and any new persistence use case. These responsibilities require us to learn and gain deep expertise in various database systems. We are looking for a talented Senior Software Engineer who can architect, build and scale Relational and Distributed SQL Databases identifying opportunities to improve how we build, productionize, operate and improve this mission-critical infrastructure to unlock substantial value within our business. You’ll have the opportunity to directly influence your team’s roadmap in close collaboration with your peers, share your knowledge and expertise with others and learn from some of the best on our shared mission to deliver honest financial products that improve lives. What you’ll do You will build and operate the control plane for large-scale distributed SQL databases such as MySQL and TiDB, automating provision
Cost Accounting Manager Location: Austin, Texas Work Arrangement: Hybrid; in office Tuesday through Thursday Reports To: VP of Accounting Direct Report: Senior Plant Accountant, Mexico Travel: At least quarterly travel to the Mexico manufacturing facility, with additional travel as business needs require Position Summary We are seeking a hands-on Cost Accounting Manager to lead cost accounting, inventory accounting, manufacturing financial controls, and inventory working capital initiatives for a rapidly growing manufacturing organization with operations in the United States and Mexico. This role will own the company's product costing framework, including costed bills of materials (CBOMs), standard costs, inventory valuation, manufacturing variances, overhead absorption, routings, labor standards, and related month-end close activities. The Cost Accounting Manager will also play a key role in improving inventory efficiency and reducing Days Inventory Outstanding (DIO). This individual will partner with Supply Chain, Operations, Procurement, Engineering, FP&A, and Finance leadership to improve visibility into inventory drivers, identify excess and slow-moving inventory, and support actions that improve working capital without compromising customer service or manufacturing continuity. The role will directly manage the Senior Plant Accountant supporting our Mexico manufacturing operation and will travel to the plant at least once per quarter. Costed Bills of Materials and Product Costing Own the creation, maintenance, review, and approval process for costed bills of materials (CBOMs). Ensure every manufactured product has a complete and accurate CBOM reflecting current materials, quantities, labor, routings, outside processing, and applicable manufacturing overhead. Partner with Engineering to ensure engineering BOMs and manufacturing BOMs are accurately translated into financial product costs. Establish a formal process for reviewing and updating CBOMs for
Position: Mechanical Engineer Location: Austin, Texas Job Overview: Infinitum is looking for a full-time Mechanical Engineer to work on site in our fan engineering team. In this role you will be a key contributor in developing proprietary commercial and industrial fan systems for Infinitum. Key Responsibilities: Conduct product design and development following general design guidelines and tools including CAD programs. Conduct calculations and analysis using closed-form methods, computer applications, and FEA and other simulation tools. Develop calculation tools for specific problems. Support other departments and customers by addressing technical questions under general design guidelines. Review drawings, schematics, bills of material, and other documentation necessary to manufacture, test, install, and commission products. Create and enhance specific design guidelines by leveraging past experience and technical learning. Develop new products by providing input on specifications, designing and building prototypes, devising validation tests, and preparing supporting documentation. Provide input to project feasibility and cost analysis. Participate in product improvement, productivity improvement, standardization, cost reduction, and cycle time reduction initiatives. Lead some of these initiatives. Provide disposition to non-conformances and participate in corrective actions providing technical input based on established design guidelines. Qualifications and Skills Must-Have Skills: Bachelor's degree (B.S.) from a four-year college or university in Engineering or Physical Science with 4+ years of related work experience, or an equivalent combination of education and experience. Basic design knowledge of machined components, sheet metal parts, castings, and injection molded components. Proficiency in SolidWorks (CSWP preferred), including sheet metal design and generating manufacturing drawings. Understanding of ASME Y14.5 GD&T and how to apply
For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . CSE SRE – DBA Focus Job Description As a Software Dev Senior Engineer, you will own the reliability, scalability, and operational excellence of our Cloud-based services. You will define and enforce reliability standards, drive the adoption of SRE practices across engineering teams, and build the systems and tooling that keep our production infrastructure healthy. We follow a DevOps model: Development and Operations teams are integrated, and the SRE function acts as the reliability layer — setting Service Level Objectives, managing error alerts, and continuously reducing toil through engineering. Key Responsibilities: Lead on call response and triage – help design and lead the 24x7 response team for triage and rally engineering to address service degradation, facilitating process and communications along the way Define, publish, and continuously refine Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) for all critical services, partnering with product and engineering leadership. Own the error management practices, including monitoring and alerting, and surfacing notable errors to the development team Lead the design and implementation of comprehensive ob
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities and Tasks: • Establish and improve process condition and technology. • Upgrade process capability and reduce production cost. • Establish and modify process management projects. • Set up process parameters for a variety of semiconductor equipment. • Evaluation, promotion and planning of new equipment / materials. • Abnormal analysis and improvement. AI Relevant Job Responsibilities: - Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. - Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work. - Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life fo
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