Performance And Systems Engineer Jobs

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Singapore Department HVM Engineering Process and Equipment Engineering Project Title Superior Copper Sputter Enablement on HBM Metallization Project Description With increasingly advanced technology scaling and higher performance requirements, the metallization process requires continuous innovation to meet stringent electrical, reliability, and manufacturability targets. To support future product roadmaps and capacity expansion, there is a need to enable advanced copper deposition capability as an improved manufacturing platform for metallization. This effort requires comprehensive process development, hardware qualification, integration assessment, and defectivity optimization to achieve process equivalency while maintaining yield, reliability, and cost competitiveness. The project will leverage Artificial Intelligence (AI), Micron manufacturing systems, and advanced data analytics to perform extensive characterization, validation, and predictive insights across process conditions. The intern will work closely with engineering teams to evaluate process performance, identify optimization opportunities, and develop data-driven solutions that improve manufacturing robustness and readiness for h

Opportunity Overview: As the Sr. Manager, Applied Science, you will play a key role in building and scaling Cohere Health's AI capabilities. You'll lead a team of Applied Scientists focused on developing, evaluating, and deploying models that automate and augment complex clinical and administrative workflows. This team is responsible for the full lifecycle of applied machine learning from problem framing, rigorous attention to methods and experimentation, to partnering with AI Engineering to deploy and monitor models. You'll work with structured and unstructured healthcare data to generate insights and power intelligent systems that improve prior authorization and broader clinical decision-making. As a player-coach, you'll combine hands-on technical contributions with team leadership, helping to establish best practices, mentor team members, and drive high-impact solutions in close partnership with Product, Engineering, Clinical, and Analytics stakeholders. This is an opportunity to shape both the technical direction and team culture within a growing global organization. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you'll do: Lead, mentor, and develop a team of Applied Scientists, fostering a collaborative, high-performance environment Translate complex healthcare business and clinical problems into scalable machine learning and data science solutions Validate those solutions with methodological and statistical rigor to assure that our Clinical AI is reliable, reproducible, and safe Partner with AI Engineering to scale those solutions to create real healthcare impact! Partner cross-functionally with Clinical Operations, Product, Engineering, and platform teams to align technical research and validation work with business priorities Communicate technical concepts, methodologies, and insights clearly to both technical and non-technical stakeholders Contri

About the Team OpenAI's Professional Services team helps organizations move from AI ambition to durable production outcomes. We partner with customers on complex deployments and build the strategy, commercial models, operating mechanisms, and delivery capacity needed to realize value from OpenAI's models and products. The team works across Go-to-Market, Forward Deployed Engineering, Technical Success, Finance, Product, Legal, Data, Systems, and delivery partners. We are building a services motion that is customer-centered, commercially rigorous, operationally scalable, and deliberately connected to product adoption. About the Role We are seeking a senior GTM Strategy & Operations professional to build and scale the operating system for OpenAI's Professional Services business. This is a foundational, hands-on individual contributor role at the intersection of business strategy, finance, go-to-market, and delivery. You will turn ambiguous questions—what we offer, how we price and package it, how we plan capacity, and how we measure performance—into clear decisions and repeatable mechanisms. You will own business planning, pricing and packaging, forecasting and modeling, management reporting, and cross-functional strategic initiatives. You will build integrated views of demand, staffing, revenue, margin, and delivery performance; replace one-off analyses with durable processes; and create operating cadences that help leaders act early. You will be a trusted partner to Professional Services, GTM, FDE, Technical Success, Finance, Product, Legal, Revenue Operations, and Data leaders. The right person combines direct Professional Services judgment with rigorous analytics, executive communication, and the willingness to build the model, process, or dashboard themselves. You’ll be responsible for: Define and drive the business and GTM strategy for Professional Services, including target customer needs, offer portfolio, positioning, pricing and packaging, partner motions,

Pie's mission is to empower small businesses to thrive by making commercial insurance affordable and as easy as pie. We leverage technology to transform how small businesses buy and experience commercial insurance. Like our small business customers, we are a diverse team of builders, dreamers, and entrepreneurs who are driven by core values and operating principles that guide every decision we make. As the Team Lead, Billing & Collections, you own billing accuracy, cash application, and the non-pay lifecycle — notice of cancellation, rescission, reinstatement, and termination — so premium, coverage, and AR stay reconciled. You lead the billing operations team that invoices, applies cash, matches partner remittance, and processes cancels and reinstatements across installment billing, payroll-partner remittance, lockbox, and Stripe. You are accountable for SLA and quality outcomes on that work, not for post-handoff recovery. Past-due collection strategy, litigation, settlement, and collection-vendor performance sit with the Team Lead, Collections. You work hand-in-hand with that team so unpaid balances are handed off cleanly, on time, and with the documentation Collections needs. You’ll lead individual contributors alongside BPO and offshore partners, set the operating standard for how every dollar is billed and applied, and find upstream improvements that reduce Pie's exposure before a receivable ever reaches collections. You set and enforce service-level agreements across billing, cash, remittance, and the non-pay lifecycle, and you are accountable for the performance of your team, your vendors, and your BPO and offshore partners against defined KPIs. You partner with Accounting on month-end billing close, unapplied cash, and the documentation Finance needs to reconcile the books. You partner with Product, Engineering, and the Business Systems Analyst on Zuora and billing automation. This is a role for someone who wants to own a function

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About This Role We're looking for a Staff HR Business Partner to build and own the people strategy for Snorkel's Data as a Service (DaaS) organization. This role is hybrid ( 3 days/week in office) in San Francisco, CA . The DaaS org is a delivery-first team that has more than tripled in size over the last six months, with no signs of slowing. They deliver high-quality data operations and AI deployment outcomes for frontier labs and AI teams. This org has a unique composition: forward deployed engineers, technical and operations delivery managers, a supply team managing a workforce comprised of multiple worker types at scale, and others. The people challenges here require an HRBP who has seen this kind of complexity before, such as workforce planning across FTEs and contractors, building a high performance culture rooted in delivery outcomes, and keeping a geographically dispersed, operationally complex team connected to Snorkel's culture. You'll partner directly with our DaaS GM and leadership team, and you'll need to be as comfortable in the operational weeds as you are in strategic conversations. The ideal background is professional services, managed services

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance. HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). Who Should Apply Professional and Academic Background: 5+ years of software engineering or related technical experience, or equivalent domain expertise through academic work (e.g. PhD, postdoctoral research, or faculty experience in Computer Science or related field). Skills: Demonstrated coding proficiency and analytical abilities, with deep expertise in one or more of the following programming languages: Python, Java, Rust, Swift, JavaScript, or C++. Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and

As a Test Technician on Zoox's Base Operations team, you are responsible for the setup, execution, and reporting of tests on Zoox R&D bots, and for keeping the public roads fleet ready for on-road use. This includes planning tests, installing test equipment and sensors, configuring vehicles to desired test states, executing tests per requestor procedures, and performing the maintenance, diagnostics, and repair work that keeps vehicles safe, demo-ready, and test-ready. Testing spans vehicle performance, crash testing, noise and vibration, thermal performance, durability testing, prototype and procedure validation. You will draw on expertise in one or more of these areas, working closely with the responsible attribute lead and with your team to keep the fleet in a ready state. Shift: 1st Shift, Tuesday - Saturday, 6:30am - 3pm Travel Requirements: up to 50% In this role, you will: Execute vehicle-level test requests with a focus on accuracy and thoroughness; create diagnostic test plans as needed. Work with engineering to select and install appropriate test sensors, and to set up and configure DAQ systems. Support preparation of test parts and update test vehicles as dictated by test requirements; coordinate logistics for vehicles, equipment, and parts. Configure, set up, maintain, diagnose, and sign off on vehicles for safe on-road use; perform vehicle-level inspections, maintenance, and repairs. Perform diagnostics and escalate to the appropriate engineering team when required; coordinate and drive the repair process. Sync with the Shop Foreman to ensure vehicles are ready for demonstration and testing requirements. Execute tests, collect data, and support the analysis, documentation, and reporting of results; maintain service records and quality field reports. Maintain shop and workshop space, tools, and parts inventory to a high professional standard of safety, efficiency, and cleanliness. <l

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Responsibilities and Tasks Product Quality (PQ) Predictive Solutions: Build and productionize machine learning models (classification and regression) to support predictive and prescriptive analytics across semiconductor test and manufacturing processes. Agentic AI and LLM Development: Contribute to the design and implementation of multi-agent systems for PQ workflows, including code generation, automated troubleshooting, and process optimization. Work with retrieval-augmented generation (RAG) pipelines: identify data sources, develop retrieval strategies, and improve context quality for LLM-based applications. Assist in implementing tool-using capabilities, function calling, and agent memory systems. Software Engineering and Productionalization: Develop maintainable code and analytical pipelines suitable for high-volume manufacturing environments. Optimize for performance, latency, and token efficiency. Collaborate with senior team members on testing, deployment, and monitoring. Communicate analytical insights, model behavior, and results clearly to technical and non-technical stakeholders Integ

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Architect and optimize high-impact Salesforce engineering solutions that directly power Everpure's global go-to-market engine. In this senior IC role, you will solve complex architectural and data challenges, balancing declarative and programmatic development to drive operational velocity across our GTM ecosystem. Working closely with cross-functional business stakeholders, enterprise architects, and engineering peers, you will own the end-to-end design of scalable enterprise solutions that eliminate process bottlenecks, elevate system performance, and maintain flawless data integrity across the Everpure Platform. WHAT YOU'LL DO Architecture & Scalable Engineering: Design, build, and deploy end-to-end Apex code, Lightning Web Components (LWC), and complex flows to automate key business operations, accelerating enterprise Quote-to-Cash cycles and CPQ performance. Ecosystem & API Integration: Architect scalable REST/SOAP API integrations, oAuth implementations, and AppExchange products connecting Salesforce with third-party systems to ensure secure, real-time data flow across our global go-to-market infrastructure. System Health & Continuous Improvement: Proactively resolve complex technical bottlenecks, monitor system stability, and drive modern CI/CD release management using GitHub and AI-assisted coding technologies to maximize platform uptime and developer velocity. Cross-Functional Leadership: Partn

At Qualia, we've built the leading B2B real estate technology that transforms the home buying and selling experience into a simple, secure, and enjoyable process. Our SMB and Enterprise products bring together users from across the real estate ecosystem---homebuyers and sellers, lenders, title and escrow agents, and real estate agents---onto a single shared digital closing platform, providing greater clarity and transparency to real estate transactions. Today, through our business customers across the country, millions of consumers use Qualia to close on homes every year. WHAT YOU'LL WORK ON Settlement Agencies depend on Qualia Clear to help improve the speed and quality of a real estate closing. They also rely on Qualia Clear to do chunks of work for them, end-to-end. Qualia Clear's curative agents do this work in production today, on real transactions. As Product Manager for Curative, you will own this agent portfolio end to end — what the agents do next, how precisely they're specified, and whether customers actually use them. If you've built AI agents and want to put them to work at national scale, this is a good fit. RESPONSIBILITIES Own the curative agent portfolio end to end: roadmap, scoping, release, adoption, and iteration Scope agents with deep, precise requirements for AI systems working real title workflows across all 50 states Build rapid prototypes to pressure-test ideas before committing engineering time Partner with Engineering and Design to break ambitious goals into small, shippable milestones that deliver value fast Write tight, plain-language PRDs that frame the problem, success criteria, and context Analyze deployment and utilization data rigorously; use it to sharpen priorities every release Collect and analyze metrics on everything you ship — how well it works and how much it's used Monitor COGs per agent run and drive them down without sacrificing accuracy Report to executives on ideas, roadmap, product adoption, and agent performance Work w

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Internal Auditor reporting to the Senior Manager, Technology Internal Audit, you’ll help GitLab assess risk and strengthen controls across a technology landscape that includes multi-cloud infrastructure, artificial intelligence and machine learning systems, and modern development practices. This USA-based role supports our Sarbanes-Oxley Act (SOX) program while partnering with Engineering, IT Operations, Security, and business teams to build controls that work in practice, not just on paper. You’ll execute technology audits, turn findings into practical improvements, and use data analytics, au

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in Canada; visa sponsorship is not available for this role. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance. Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition. Who Should Apply Professional and Academic Background: 5+ years of software engineering or related technical experience, or equivalent domain expertise through academic work (e.g. PhD, postdoctoral research, or faculty experience in Computer Science or related field). Skills: Demonstrated coding proficiency and analytical abilities, with deep expertise in one or more of the following programming languages: Python, Java, Rust, Swift, JavaScript, or C++. Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration. Why

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United States; visa sponsorship is not available for this role. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You'll Do Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance. HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains. Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). Who Should Apply Professional and Academic Background: 5+ years of software engineering or related technical experience, or equivalent domain expertise through academic work (e.g. PhD, postdoctoral research, or faculty experience in Computer Science or related field). Skills: Demonstrated coding proficiency and analytical abilities, with deep expertise in one or more of the following programming languages: Python, Java, Rust, Swift, JavaScript, or C++. Professional Mindset: Detail-oriented, innovative thinker with a

About the Role We are seeking a Staff Enterprise Architect, Data to lead the strategy, design, and modernization of our enterprise data landscape. This role operates at the intersection of data architecture, engineering, and AI enablement, defining solutions to integrate our Data Lake and Data Warehouse across multi-cloud platforms. Over the next 12-18 months, you will enable self-service data access and natural language query capabilities for business users. You will architect Master Data Management and data lineage frameworks ensuring AI models operate on high-quality, governed data. You will also evaluate and implement AI-powered tools to automate data quality monitoring and enhance data security. We're looking to speak with candidates based in the San Francisco Bay Area for our hybrid working model. Key Responsibilities Data Strategy & Roadmap Design semantic layer architecture standardizing business metrics enterprise-wide. Define governance guardrails ensuring natural language queries access validated master data sources Develop Master Data strategy for Customer and Product domains (phases 1-2), Finance and People to follow. Define golden record requirements, stewardship models, and system-of-record hierarchy. Partner with business owners on master data governance Define cross-cloud data integration strategy and reference architecture. Specify patterns (federation, replication, abstraction layer) balancing performance, cost, and data freshness. Document trade-offs and recommend implementations for batch and near-real-time use cases Develop 12-24 month data architecture roadmaps for Finance, Sales, Product, and People. Identify capability gaps and recommend technology investments with business value and effort estimates Systems Design & Solution Leadership Evaluate AI-powered data observability platforms for quality monitoring, pipeline failure prediction, and data classification. Define requirements, lead vendor POCs, and establish integration patterns

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. RME Operator - JLL What this job involves: At JLL, we are collectively shaping a brighter way for our clients, ourselves, and our fellow employees—and nowhere is that more evident than in our operations partnership with our client. As an RME Operator, you'll be at the heart of business operations, working behind the scenes to maintain the speed, accuracy, and exceptional service they're known for worldwide. In this role, you'll combine electronic, mechanical, computer, and automation engineering skills to keep complex high-performance manufacturing systems running smoothly. You'll work with cutting-edge robotics and material handling equipment that enables tens of thousands of products to reach hundreds of customers every day. This position offers hands-on learning opportunities where you'll analyze, troubleshoot, and repair sophisticated systems while being mentored by experienced technicians. We embrace more innovative ways of working and prioritize opportunities to strengthen and advance your career, making this an ideal role for some