Associate Staff DevOps Engineer — 2 Locations. Apply via Workday.
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Senior Staff Bioinformatics Scientist — 2 Locations. Apply via Workday.
Associate Staff Engineer - Software Design — Hyderabad. Apply via Workday.
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Job Details: Job Description: Organization Overview: Manufacturing Development Customer Engineering (MDCE) is Intel's newest organization within Intel Foundry Technology Manufacturing (FTM). We bridge the critical gap between Technology Development (TD) and High-Volume Manufacturing (HVM), advancing technology nodes and process capability from initial product qualification to high-yield production across multiple products while enhancing technologies for our foundry customers. About This Role: Join Intel's Manufacturing Development and Customer Engineering (MDCE) team as a senior technical leader driving process innovation across Intel's most advanced semiconductor technologies in volume manufacturing. You will spearhead the development, optimization, and manufacturability of critical thin film deposition processes, ensuring seamless transitions from early development to high-volume production while meeting Intel foundry customer requirements. Your Mission: Lead thin film process excellence across CVD, ALD, PVD, epitaxy, thermal/plasma deposition, furnace, implant, anneal, and/or treatment technologies. Operating at the nexus of Technology Development and High-Volume Manufacturing, you will drive breakthrough solutions for Intel 18A, Intel 3, 12nm, and next-generation technology nodes. Key Responsibilities Process Innovation and Excellence Champion safety, quality, yield, throughput, and cost optimization across thin film deposition modules Drive defectivity reduction and uniformity improvements through systematic process enhancement Lead technical problem resolution and deliver solutions that meet aggressive technology node targets Optimize equipment performance working with internal teams and key suppliers Strateg
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. Position Overview As a Micron Singapore Construction ELV Engineer, for the design, installation, and commissioning of ELV systems in semiconductor manufacturing facilities. This role involves ensuring that the critical systems for communication, security, and control are properly integrated and functional to meet project requirements. Key Responsibilities: ELV System Design & Engineering: - Design and develop ELV systems such as Life Safety System (LSS), fire alarms, CCTV, access control, public address systems, structured cabling, and building management systems (BMS). - Perform detailed ELV system layout, cabling schedules, and interface drawings to ensure smooth integration with electrical and mechanical systems. - Select and specify appropriate ELV components and devices, ensuring they meet project specifications and comply with local and international standards. - Collaborate with other engineers (electrical, mechanical, etc.) to coordinate ELV designs with other building services. Stakeholder & Program Management -Serve as the primary point of contact for internal and external stakeholders, including project owners, consultants, contractors, and suppliers. -Facilitate
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. Job Description Summary As a Staff/Senior Engineer – Mechanical Systems at Micron Singapore, you will lead and oversee the planning, design, construction, testing, commissioning, and operational readiness of both wet and dry mechanical systems in semiconductor facilities. This role requires extensive technical expertise and strong project management capabilities to drive complex infrastructure programs that support Micron’s business objectives. Design & Engineering Oversight: - Lead the design and engineering of mechanical systems, including but not limited to Wet Systems: Chilled water, cooling water, make-up water, fire protection, PCW, plumbing, sanitary systems, and underground services. Dry Systems: HVAC, process exhaust (general, solvent, ammonia, acid), process vacuum, compressed dry air, cleanroom and non-cleanroom makeup air systems. - Review and approve technical specifications, equipment selection, and detailed engineering drawings. - Coordinate with cross-disciplinary teams (electrical, structural, process) to ensure the integration of mechanical systems. - Evaluate innovative technologies to enhance system efficiency, performance, and sustainability. -Lead and deliver the detailed design,
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. Position Overview Micron Singapore is seeking a highly skilled and motivated Gas Staff Engineer / Senior Engineer – Construction to join our dynamic team. The successful candidate will be responsible for the design, specification, installation, commissioning, and optimization of high-purity gas delivery systems in semiconductor manufacturing facilities. This role ensures safe handling, efficient distribution, and compliance with all relevant codes and safety regulations, while collaborating with cross-functional teams to deliver projects on time and within budget. Key Responsibilities Design & Engineering Design specialty and bulk gas delivery systems, including storage, distribution piping, process integration, and effluent scrubber units, ensuring stringent purity and safety requirements for semiconductor fabrication. Develop detailed engineering drawings, P&IDs, and specifications for all gas systems. Perform flow, pressure, and compatibility calculations to optimize system efficiency. Specify critical components and ensure designs meet all applicable codes and regulations (NFPA, FM, UBC, UFC, UMC, IBC, IMC, IFC, NEC, SEMI, OSHA, NEA etc). Conduct research and development on emerging facilities and technologies
At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: The Finance Risk and Controls Testing team is seeking a highly motivated professional to join our growing team for non-IT SOX control testing. As a member, you are responsible for auditing the non-IT SOX controls over financial reporting to ensure compliance with the Sarbanes-Oxley Act Our testing covers business segments: Multifamily, Single Family and Investments & Capital Markets. The assessments cover a combination of process & entity level controls, and controls within accounting and operational processes that collectively provide comfort over financial reporting at Freddie Mac. Our Impact: Our team is responsible for the SOX framework and testing for Freddie Mac. We evaluate the effectiveness of Internal Controls over Financial Reporting based on the review of design and operating effectiveness of controls by working closely with management and external auditors. Your Impact: In this role, you will be an integral part of the manual testing team and will be expected to do the following: Maintain a current understanding of Sarbanes-Oxley (SOX) requirements, PCAOB Standards, and relevant accounting and regulatory guidance (including Generally Accepted Accounting Principles). Develop and maintain positive and collaborative relationships with the business area team members and management, and with external auditors. Perform walkthroughs of the key processes and obtain in depth understanding of the risks over financial statements and related disclosures Perform design and operating effectiveness assessment
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and a growing share of them meet us first on their phone. The Growth team owns the product loops that help people discover, adopt, and build lasting habits around our most important AI experiences — and on mobile that means owning everything from the App Store listing to the first task a user finishes to the moment they upgrade. As an Android growth engineer at Perplexity, you'll work across the full mobile funnel — install, activation, onboarding, push and lifecycle messaging, conversion, retention, and in-app purchase moments — for Perplexity, Comet, and Computer on Android. Engineers are responsible for end-to-end projects: rebuilding onboarding as a series of experiments, wiring in-app purchase and paywall surfaces to our billing systems, shipping notification experiences people actually keep enabled, and turning ASO and deep-link work into measurable adoption. Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product — we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end, while respecting the constraints mobile brings: release cycles, store review, and version fragmentation. Why Perplexity is different Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. Ownership. You identify the problem, design the solution and ship it. Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. Partnership. We amplify each others' strengths, break down silos, and give self
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and a growing share of them meet us first on their phone. The Growth team owns the product loops that help people discover, adopt, and build lasting habits around our most important AI experiences — and on mobile that means owning everything from the App Store listing to the first task a user finishes to the moment they upgrade. As a mobile growth engineer at Perplexity, you'll work across the full mobile funnel — install, activation, onboarding, push and lifecycle messaging, conversion, retention, and in-app purchase moments — for Perplexity, Comet, and Computer on iOS. Engineers are responsible for end-to-end projects: rebuilding onboarding as a series of experiments, wiring in-app purchase and paywall surfaces to our billing systems, shipping notification experiences people actually keep enabled, and turning ASO and deep-link work into measurable adoption. Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product — we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end, while respecting the constraints mobile brings: release cycles, store review, and version fragmentation. Why Perplexity is different Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. Ownership. You identify the problem, design the solution, and ship it. Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. Partnership. We amplify each others' strengths, break down silos, and give selflessl
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. Position Overview Micron Singapore is seeking a highly skilled and motivated Chemical Senior Engineer / Staff Engineer – Construction to join our dynamic team. The successful candidate will be responsible for the design, specification, installation, commissioning, and optimization of high-purity chemical and gas delivery systems in semiconductor manufacturing facilities. This role ensures safe handling, efficient distribution, and compliance with all relevant codes and safety regulations, while collaborating with cross-functional teams to deliver projects on time and within budget. Key Responsibilities Design & Engineering Design chemical and slurry delivery systems, including storage, distribution piping, process integration, and effluent scrubber units, ensuring stringent purity and safety requirements for semiconductor fabrication. Develop detailed engineering drawings, P&IDs, and specifications for all chemical and slurry systems. Perform flow, pressure, and compatibility calculations to optimize system efficiency. Specify critical components and ensure designs meet all applicable codes and regulations (NFPA, FM, UBC, UFC, UMC, IBC, IMC, IFC, NEC, SEMI, OSHA, NEA etc). Conduct research and development on emerg
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is working to build a rigorous, evidence-based understanding of AI's economic effects. We're hiring a writer focused on economics and policy to work on a growing portfolio that includes economic research reports, long-form essays, op-eds, and policy briefs. You'll spend much of your time working with economists and researchers, helping them explain their findings plainly. You’ll write for economists, policymakers, journalists, and the public. You’ll be on the Editorial team, which is responsible for shaping how Anthropic communicates. Our goal is to build understanding about the opportunities and challenges of transformative AI, and we work extensively with partner teams including The Anthropic Institute and our Policy team. In this role, you'll write about AI's effects on productivity and the labor market, the economics of compute, innovation policy, and regulation, among many other subjects, and you'll help decide which economic and policy questions Anthropic takes up next. You'll do this with an amazing vantage point on what is happening at the frontier. Key responsibilities Work with our economists and researchers to write and edit Anthropic's economic research publications—including the Anthropic Economic Index, and new reports on how AI is affecting work, productivity, and growth. Produce rigorous, readable work on the economics and policy of AI in whatever format the subject calls for, including research reports, long-form essays, op-eds, policy briefs, and blog posts. Collaborate with Anthropic's economics researchers, Policy team, research scientists, and external economists and policy experts to tran
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview As a Member of Technical Staff in Post-Training Data Infrastructure, you will build and own the pipelines that produce the post-training data for our large language models (LLMs), from SFT and RL data to synthetic and human-annotated data. You will work closely with researchers and annotation teams so they can iterate on data as quickly as they iterate on models. Key Responsibilities Build and maintain data pipelines for SFT, preference, and RL post-training data. Own dataset quality, versioning, and reproducibility. Turn research data recipes into production-grade, reusable components. Scale model inference for data generation and model-based grading. Design data formats and schemas that keep post-training datasets consistent and efficient to train on. Collaborate with researchers and engineers to make sure data pipelines keep pace with the needs of cutting-edge language models. Qualifications Strong software engineering skills. Experience designing and building large-scale data pipelines for machine learning, ideally for LLM post-training. Track record of running distributed data processing and model inference at
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