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  • Senior Opto-Electronics Engineer

    Microsoft - Cambridge, England, GB
    Indexed from Microsoft Custom Benefit evidence checked Jun 13, 2026
    posted 112 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Senior Opto-Electronics Engineer Cambridge, England, GB

  • Manager, Business Intelligence, FBA Analytics

    Amazon - Bellevue, Washington, USA
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 113 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk $143K-$194K From the posting source Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reported

    Manager, Business Intelligence, FBA Analytics Bellevue, Washington, USA FBA Inventory Optimization Services (FIOS) is seeking a results-oriented Business Intelligence Manager to lead the development of AI-powered analytics infrastructure and GenAI-enabled data products across FBA's Growth Optimization portfolio. This role is central to FBA's generational transformation - pivoting from traditional reporting and reactive diagnostics to building intelligent, AI-native data systems that deliver predictive insights in minutes rather than days. As our AI development accelerates, Business Intelligence is becoming core infrastructure - not a supporting function. We are shifting from bespoke, one-off data solutions to building reusable data pipelines, shared analytics capabilities, and measurement frameworks that power every agent team we spin up. We are looking for a Manager, Business Intelligence Engineering to lead and grow our BI and analytics team supporting FBA's rapidly expanding AI product roadmap across Inventory Optimization Services - specifically Capacity Planning and Inventory Visibility domains. This is a high-impact, high-visibility player-coach role: you will personally contribute to our most technically demanding analytics engineering work while providing the technical oversight, prioritization, and career development that enables a team of high-performing BIEs and Business Analysts to scale. You will own the full scope of our data needs - building and maintaining the data models and pipelines that power our AI agents, creating the measurement frameworks that define how we track inventory lifecycle and business impact, and ensuring BAU reporting commitments are met without crowding out strategic infrastructure work. The ideal candidate is a technically exceptional BI leader who thinks

  • Senior Manager Supply Chain Development and Optimization

    Infineon Technologies - Melaka (Malaysia)
    Indexed from Eightfold Benefit evidence checked Jun 7, 2026
    posted 111 days ago
    Unspecified Engineering From the posting source - Senior From the posting source Salary not disclosed Inferred from posting 401(k) reported

    Senior Manager Supply Chain Development and Optimization Melaka (Malaysia)

  • Optimise Account Manager

    Taboola - Gurugram, India
    Indexed from Greenhouse
    posted 168 days ago

    Why we showed this

    Role: semantic match
    Unspecified Sales From the posting source - Mid From the posting source Salary not disclosed Equity

    Optimise Account Manager Gurugram, India Realize your potential by joining the leading performance-driven advertising company! We're looking for a commercially driven and relationship-focused Account Manager to join our Optimise SMB Publishers team in Gurugram. This is a growing team of superstars at Taboola who are dedicated to making sure every single one of Taboola's small and medium sized clients achieves success on our platform. We manage a global portfolio of publishers who come in all different shapes and sizes and are their champions when it comes to all things performance - and we're looking for an Account Manager to join us on this adventure. You will own a large portfolio of existing global accounts, and your priority will be seeking out ways to optimise and grow their revenue and jumping on any opportunity you have to discuss these with them. You will use data and your excellent communication skills to explain the value proposition of these optimisations, and with 800 clients in your portfolio, you'll know how to prioritize and manage your time effectively. This is an excellent opportunity for somebody who is hungry to build off any initial sales experience and wants to learn the ins-and-outs of the entire sales process, from prospecting to closing. To thrive in this role, you'll need: - Have 2 - 4 years client facing experience in sales or account management capacity - Have a data-driven / analytical mindset with strong problem-solving skills - Have the ability to effectively prioritize and manage tasks within

  • Senior Fullstack Software Engineer, Growth

    Algolia - New York, New York
    Indexed from Greenhouse Comp disclosed in posting
    posted 149 days ago

    Why we showed this

    Role: semantic match
    Unspecified Engineering From the posting source - Senior From the posting source $163K-$215K From the posting source

    Senior Fullstack Software Engineer, Growth New York, New York At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we are passionate about helping developers & product teams connect their users with what matters most in milliseconds! To ensure our users make the most out of Algolia's powerful features, we need to first make sure that they understand our offerings and are able to set everything up quickly. The Growth org aims to help Algolia grow by working on changes in the product, introducing new features, and providing the best possible user experience. You will get to shape the user experience of our customers as they start using Algolia, help create a new Growth platform, mentor software engineers, and introduce best practices. A few projects we've worked on recently include: - New data integrations with other developer platforms - New marketplace and billing integrations - New internal platforms such as notifications, experimentation, feature flagging - AI based data processing platforms Your role will consist of: - Coming up

  • Manager - Design & Optimization (Supply Chain)

    Elanco - IN - Bangalore
    Indexed from Workday
    posted 142 days ago
    Unspecified Operations From the posting source - Senior From the posting source Salary not disclosed Equity

    Manager - Design & Optimization (Supply Chain) IN - Bangalore posted: Posted 30+ Days Ago

  • Vice President, Value Enablement & Optimization

    Mastercard Incorporated - 4 Locations
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 112 days ago
    Unspecified Other - Staff Plus From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Vice President, Value Enablement & Optimization 4 Locations posted: Posted Yesterday

  • Director Value Enablement & Optimization

    Mastercard Incorporated - 2 Locations
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 142 days ago
    Unspecified Other - Staff Plus From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Director Value Enablement & Optimization 2 Locations posted: Posted 30+ Days Ago

  • Senior Machine Learning Engineer

    Expedia Group - 2 Locations
    Indexed from Workday
    posted 112 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Senior From the posting source Salary not disclosed Equity

    Senior Machine Learning Engineer 2 Locations posted: Posted Yesterday

  • Quantitative Researcher, Portfolio Optimization

    Fidelity Investments - 3 Locations
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 113 days ago
    Unspecified Other - Mid From the posting source Salary not disclosed Inferred from posting 401(k) reported

    Quantitative Researcher, Portfolio Optimization 3 Locations posted: Posted 2 Days Ago

  • Legal Optimization Transformation Leader

    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 111 days ago
    Unspecified Engineering From the posting source - Mid From the posting source Resolvable source Verified parental leave: 12 wksource Resolvable source Verified non-birth-parent leave: 6 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Legal Optimization Transformation Leader 4 Locations posted: Posted Today

  • Transport Integration & Optimization Tech Sr. Specialist

    Vodafone Group - Giza, Egypt
    Indexed from Eightfold Benefit evidence checked Jun 7, 2026
    posted 111 days ago
    Unspecified Trades From the posting source - Senior From the posting source Salary not disclosed Inferred from posting 401(k) reported

    Transport Integration & Optimization Tech Sr. Specialist Giza, Egypt

  • Machine Learning Engineer

    Trimble Inc. - Germany - Munich
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 142 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Machine Learning Engineer Germany - Munich posted: Posted 30+ Days Ago

  • Software Engineer III, AI/ML, DSP/HTP Optimisation

    Google - Zürich, Switzerland
    Indexed from Google Custom Benefit evidence checked May 7, 2026
    posted 115 days ago

    Why we showed this

    Role: semantic match
    Unspecified Engineering From the posting source - Senior From the posting source Resolvable source Verified parental leave: 18 wksource Resolvable source Verified non-birth-parent leave: 18 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Software Engineer III, AI/ML, DSP/HTP Optimisation Zürich, Switzerland Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will conduct rigorous power profiling and implement hardware-specific optimizations to ensure feature performance remains consistent across all use cases. You will work at the intersection of ML and system architecture, technical specialists will define the efficiency standards on next-generation hardware. You will optimize the end-to-end performance of ML models to ensure compliance with strict power and thermal constraints, as the scope of the role encompasses leveraging specialized expertise in Hexagon Tensor Processors (HTP) and Digital Signal Processors (DSP) architectures to accelerate machine learning models while maintaining system stability and device performance standards.The Platforms and Devices team encompasses Google's various computing

  • Design Optimization Engineer - Postdoctoral Researcher

    Lawrence Livermore National Laboratory - Livermore, CA, United States
    Indexed from Smartrecruiters Comp disclosed in posting
    posted 113 days ago
    Unspecified Data From the posting source - Mid From the posting source $122K-$143K From the posting source

    Design Optimization Engineer - Postdoctoral Researcher Livermore, CA, United States Company Description: Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. Job Description: We have an opening for a Design Optimization Engineer - Postdoctoral Researcher to conduct basic and applied research in the optimization, simulation, and design of physical and engineered systems. You will work both collaboratively and independently to extend and develop physics-based design optimization tools. Our team is working to advance the state-of-the-art in support of Laboratory missions. This position is in the Computational Engineering Division (CED), within the Engineering Directorate. Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week. You will Develop and implement high-performance computing (HPC) algorithms for the simulation and design optimization of systems governed by nonlinear, transient, multiscale and multiple physical phenomena, including uncertainties in geometry and material properties. Contribute to identifying and solving challenging design optimization problems with gradient-based optimization approaches. Develop continuum models and implement them

  • SoC Power Analysis and Optimization Engineer

    Apple - Austin, United States of America
    Indexed from Apple Custom Benefit evidence checked Jun 13, 2026 Comp disclosed in posting
    posted 174 days ago
    Unspecified Engineering From the posting source - Mid From the posting source $172K-$302K From the posting source Equity Inferred from posting 401(k) reported

    SoC Power Analysis and Optimization Engineer Austin, United States of America As part of our Silicon Engineering group, you will take imaginative and revolutionary ideas and determine how to turn them into reality! You and your team will apply engineering fundamentals and start from scratch if needed, bringing forward-thinking ideas to the real world. Join us, and you will help design products that bring to our customers experiences they've never before envisioned. In this highly visible role, you will be responsible for SOC simulation, optimization and modeling. The main responsibility of this role is to drive the SOC power simulation, optimization and modeling. • Work with cross functional teams, including architecture, RTL and physical design teams, to determine the interesting use-cases to simulate power, to provide power projections and targets for the future projects, and to improving the SOC power efficiency • Working with SOC power team members to drive power analysis and optimization tasks, improving the efficiency with automation and GenAI/LLM approaches. • Explore new methodology to analyze the power data, create power metrics to identify the optimization opportunities, drive automated approach to improve SOC power efficiency across IPs • Collaborate cross-functional teams to deploy the power optimization to improve SOC power, review results, improve the methodology on efficiency, runtime, and support boarder scope of designs. Minimum Qualifications: A minimum of a bachelor's degree in relevant field and a minimum of 10 years of relevant industry experience. Preferred Qualifications: Familiarity with ASIC power analysis and optimization Familiarity with machine

  • posted 112 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Senior From the posting source Salary not disclosed Equity

    Senior Manager, Machine Learning Science - Bundled Products Recommendations Washington - Seattle Campus posted: Posted Yesterday

  • Answer Engine Optimization (AEO/GEO) Manager

    SailPoint - 2 Locations
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 139 days ago
    Unspecified Other - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Answer Engine Optimization (AEO/GEO) Manager 2 Locations posted: Posted 28 Days Ago

  • Inference Optimization ML Engineer

    Rhoda AI - Mountain View, Mountain View,, California, United States
    Indexed from Ashby
    posted 142 days ago

    Why we showed this

    Role: semantic match
    Unspecified Engineering From the posting source - Mid From the posting source Salary not disclosed

    Inference Optimization ML Engineer Mountain View, Mountain View,, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for an Inference Optimization MLE to help build and operate the systems that make our foundation models run fast and efficiently in production. You'll be responsible for squeezing maximum performance out of large multimodal models, across cloud and on-robot deployment targets. You will working closely with research and robotics teams to close the gap between training and real-world deployment. What You'll Do - Own inference performance end-to-end - diagnose and improve latency, throughput, and efficiency of large foundation models in production - Build systematic performance attribution: latency decomposition (compute vs. memory bandwidth vs. I/O), bottleneck identification, and prioritization across model families - Apply and develop optimization techniques including quantization, pruning, distillation, operator fusion, and model compilation (e.g., TensorRT, torch.compile, XLA) - Optimize attention mechanisms, KV caching, and memory layouts for large multimodal models (vision, video, language, proprioception) - Work with kernel-level tooling (e.g., CUDA, Triton) to identify hotspots

  • Optimization Scientist

    Exxon Mobil Corporation - Alternate Job Posting Location | Job City/State
    Indexed from Successfactors Benefit evidence checked Jun 7, 2026
    posted 111 days ago

    Why we showed this

    Role: semantic match
    Unspecified Data From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Optimization Scientist Alternate Job Posting Location | Job City/State About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we can work together. Job Group Capability Data Science, Digital & Analytics Job Group Data Management Job Role Description The Data Architect - Advanced is responsible for architecting and designing data solutions and services enabling ExxonMobil businesses. They are considered to be technical leaders, visionaries, and liaisons between business and IT. This role is for those architects focused on data design, implementation, and support processes (typically includes System or Solution Architects focused on Data & Analytics, Data architects in CDO / business) Job Role Responsibilities - Ensures that aspects of an architectural design have been clearly thought out, articulated and fully aligned with business needs while addre

  • Analyst/Associate-Liquidity, Optimization & Balance Sheet Management

    Bank of Montreal - Toronto, ON, CAN
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 115 days ago
    Unspecified Finance From the posting source - Mid From the posting source Salary not disclosed Inferred from posting 401(k) reported

    Analyst/Associate-Liquidity, Optimization & Balance Sheet Management Toronto, ON, CAN posted: Posted 4 Days Ago

  • EDA Workflow Optimization Engineer

    NVIDIA Corporation - 4 Locations
    Indexed from Workday Benefit evidence checked Jun 13, 2026
    posted 142 days ago
    Unspecified Data From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    EDA Workflow Optimization Engineer 4 Locations posted: Posted 30+ Days Ago

  • Senior Machine Learning Engineer

    SKY Harbour Group CORP - Milan, Monte Penice
    Indexed from Workday
    posted 142 days ago

    Why we showed this

    Unspecified Engineering From the posting source - Senior From the posting source Salary not disclosed Equity

    Senior Machine Learning Engineer Milan, Monte Penice

  • Research Intern - Model Optimization and HW Acceleration

    Microsoft - Redmond, WA, US
    Indexed from Microsoft Custom Benefit evidence checked Jun 13, 2026
    posted 314 days ago
    Unspecified Data From the posting source - Entry From the posting source Salary not disclosed Equity Inferred from posting 401(k) reported

    Research Intern - Model Optimization and HW Acceleration Redmond, WA, US

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