Field Security Specialist Jobs

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. We are part of Micron’s Technology Development organization, focused on building and scaling advanced wet process equipment that enables next-generation DRAM. We work closely with vendors, process teams, and manufacturing partners to bring new tools from concept to production. This team combines hands-on engineering with real impact on performance, cost, and sustainability! This role focuses on developing, optimizing, and sustaining liquid-phase processing equipment for advanced semiconductor manufacturing. You will work across R&D and manufacturing, solve hardware challenges, and drive tools to meet performance and reliability targets. The position offers strong ownership, multi-functional work, and exposure to tool development at scale. Responsibilities: Develop and optimize wet process equipment for advanced DRAM nodes Partner with vendors and internal teams to close hardware gaps Drive installation, qualification, and upgrades of new tools Apply data analysis to monitor tool performance and resolve issues Support process transfer from development to manufacturing Minimum Qualifications: Bachelor’s degree in mechanical, chemical engineering, or related field 3&#43; years of experience in semiconductor equipment or process engineering Knowledge of wet process equipment and semiconductor fabrication Experience fixing spin clean and drying systems Ability to analyze data and define problem statements <div

About the role Productions is the 'done for you' managed services wing of ElevenLabs made for creators and media businesses. We bring together our AI audio tools and human experts to unlock human-edited dubs, audiobooks, and more in 15+ languages directly on the ElevenLabs platform. Here are a few recent projects Productions has helped bring to life: Dubbing for some of the world's biggest creators (DudePerfect, Lex Fridman, Andrew Huberman) and media businesses Audiobook production for leading publishers and digital storytelling platforms Voice creation, sound design, and other audio engineering services for ElevenLabs' largest customers You can learn more about Productions here: https://elevenlabs.io/productions As an Audio Engineer, you will: Create, refine, and iterate on custom voices for ElevenLabs customer using different techniques Clean, edit, and prepare customer audio to ensure optimal cloning and generation quality Provide hands-on training and technical guidance on ElevenLabs tools and best practices Work on Audio Quality rated labeling projects Requirements 3–5+ years experience in audio engineering, sound design, mixing/mastering, or related fields Experience working directly with clients, creative teams, or technical stakeholders Strong proficiency with DAWs (e.g., Pro Tools, Reaper, Logic, Ableton) Deep intuition for voice characteristics, timbre, clarity, and performance nuance Ability to translate ambiguous customer needs into clear audio and voice-design solutions Strong organizational discipline for operating within a time-based service model Location This role is remote and can be executed globally We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Forward Deployed Reliability Engineer (FDRE), you ensure the stability and reliability of mission-critical workflows built on Palantir software. You gather signal by going on call — resolving problems before the customer is impacted — and use those learnings to drive product change, shape our internal tooling, and refine our operational processes so that we provide an increasing quality of service to more and more customers. Your approach is hands-on and pragmatic: you’ll rapidly address issues as they arise with quick and effective solutions, and advocate for workflow or product improvements once the immediate issue is resolved. You are energised by engaging directly with problems, from writing a script to automate a manual task, to finding creative workarounds, or building a case for a product enhancement. You don’t just fix issues — you look for opportunities to simplify, automate, and make the entire system more resilient. An FDRE synthesises learnings from support into best practices for others to follow. These are captured in documentation and shared with the team and the wider organisation. In this way, you raise the bar for reliability and efficiency across Palantir. Core Responsibilities Develop a deep understanding of Palantir’s products and operational processes Go on-call, responding quickly and effectively to mission-critical incidents Diagnose, resolve, and proactively prevent issues encountered in the field Collaborate with internal stakeholders to increase the scalability and reliability of Foundry workflows for our customers Identify recurring pain points and inefficiencies, and take initiative to

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. Advanced Packaging Technology Development is where Micron pushes the boundaries of 3D memory. We take ideas from early experiments to factory‑ready processes, working hands‑on with materials, tools, and partners across the industry. If solving foundational problems that shape future products excites you, you’ll feel right at home here! This role is a senior Process Engineering Technical Leader focused on chip‑to‑wafer and hybrid bonding. You’ll lead the development and scale‑up of bonding processes that enable high‑performance 3D memory products like HBM and 3DS DRAM. Your work will span early pathfinding through high‑volume manufacturing, with a clear impact on reliability, performance, and cost. Responsibilities: Set technical direction for chip‑to‑wafer and hybrid bonding processes across development programs Develop and mature process flows, materials, and integrations that meet performance, reliability, and cost needs Lead problem solving across wafer fab, die processing, bonding, thinning, and downstream packaging interactions Partner with integration, equipment, product, manufacturing, and quality teams to deliver TD breakthroughs Drive technology transfer into manufacturing with a focus on repeatability and high‑volume readiness Minimum Qualifications: Master’s degree or PhD in Materials Science, Electrical, Mechanical, or Chemical Engineering, or a related field 13&#43; years of semiconductor R&D experience, incl

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Forward Deployed Reliability Engineer (FDRE), you ensure stability and reliability of mission-critical workflows built on Palantir software. You gather signal by going on call — resolving problems before the customer is impacted — and use those learnings to drive product change, shape our internal tooling, and refine our operational processes such that we provide an increasing quality of service to more and more customers. Your approach is hands-on and pragmatic: you’ll rapidly address issues as they arise with quick and effective solutions and advocate for workflow or product improvements after the immediate issue is resolved. You are energized by engaging directly with problems, from writing a script to automate a manual task, to finding creative workarounds, or building a case for a product enhancement. You don’t just fix issues— you look for opportunities to simplify, automate, and make the entire system more resilient. An FDRE synthesizes learnings from support into best practices for others to follow. These are captured into documentation and shared with the team and broader organization. In this way, you raise the bar for reliability and efficiency across Palantir. Core Responsibilities Develop a deep understanding of Palantir's products and operational processes Go on-call, responding quickly and effectively to mission-critical incidents Diagnose, resolve, and proactively prevent issues encountered in the field Collaborate with internal stakeholders to increase the scalability and reliability of Foundry workflows for our customers Identify recurring pain points and inefficiencies, and take initiative

About the Team The Synthetic RL team develops reinforcement learning methods that leverage synthetic data, environments, and feedback to train and evaluate frontier AI models. The team explores approaches such as self-play, simulators, and other synthetic evaluations to push model capability, generalization, and alignment beyond what is possible with the current prevailing methodology. About the Role As a Research Scientist on the Synthetic RL team, you will develop novel reinforcement learning techniques that use synthetic environments and feedback to improve large-scale models. You’ll work closely with other researchers to design experiments, analyze learning dynamics, and translate research insights into training approaches used in production systems. We’re looking for researchers who enjoy working on open-ended problems, value fast iteration, and want their work to directly shape how frontier models are trained. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Research and develop reinforcement learning algorithms Design and run experiments to study training dynamics and model behavior at scale Collaborate with engineers and researchers to integrate successful approaches into model training pipelines You might thrive in this role if you: Have a strong background in reinforcement learning, machine learning research, or related fields Have strong engineering and statistical analysis skills Enjoy exploring new problem spaces where data, objectives, and evaluation are imperfect or evolving Are motivated by seeing research ideas influence real-world AI systems About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an ex

Please send CVs to [email protected] with “202 7 QR Summer Internship Application” in the subject line. When your application is received, we will consider you for all similar positions at Cubist. About Our Firm: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. About Our Team: KEPL is a fast-growing team at Cubist Systematic Strategies. We specialize in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms. We have an open and collaborative culture, and we value rigorous research and innovative technologies. Role / Experience: We are looking for exceptional students to be our quantitative researcher interns for the summer of 2027 . An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical skills and be able to solve hard problems rigorously. Our typical intern candidates come from quantitative PhD programs of top US universities. Our internship program offers unique KEPL experience. During the internship, our interns will receive rigorous and comprehensive trainings. They will develop strong research skills through working closely with our full-time researchers on brand new quant trading models with real-world impact. We will consider full-time offers for interns after the internship. Requirements: PhD candidate in math/physics/statistics/EE/CS, or other quantitative fields Strong knowledge of computational math, probability, and statistics Strong analytical skills, with attention to details Good communication skills Willing to work in a fast-paced start-u

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking a Signal Integrity Engineer to join our growing team. The ideal candidate will have a wealth of exposure designing high speed interconnects, breakout design, material trade-offs and verification. A background in electrical engineering, electronics or relevant fields is required. Must love all things high speed! This role is hybrid, based out of Santa Clara, CA or Austin, TX or Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You have a Bachelor’s degree in Electrical Engineering (or equivalent) and 5+ years working in high-speed digital design with a focus in high-speed PCB or package design at 10Gbps and above (e.g. 100GbE, GDDR6, PCIe Gen5+). You’re comfortable working with high-speed performance metrics such as ICR, ERL, COM, NEXT, and FEXT as well as knowledge of high-speed connector technologies, including NPO, CPO, and emerging standards. You are proficient with PCB ECAD tools (ideally Cadence Allegro). You communicate clearly (written and verbal), think critically, and love solving complex signal integrity problems. You’re enthusiastic about all things high speed and enjoy collaborating acro

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The Pinterest Labs group is dedicated to the development and research of applied machine learning. Our initiatives span a diverse range of AI/ML fields, including fundamental computer vision, multimodal large language models, multimodal representation learning, generative modeling, heterogeneous graph neural networks, and recommender systems. By building foundation ML models that utilize our extensive knowledge graph and billions of Pins, we aim to significantly enhance the core Pinterest product. Our visual modeling team is currently seeking new members to focus on the advancement of vision-centric LLMs. We are building VLMs capable of perceiving intricate visual details and understanding user aesthetics to facilitate communication through visual assets using tools like multimodal search and text-to-image models. This role offers the opportunit

Our Federal sales team works with a best-of-breed product that solves real problems for our customers. Sellers follow a well-defined methodology that helps them identify the customer’s unique needs and clearly convey the value of the Datadog product. Whether you’re looking to learn from the best or be the best, the Datadog sales team is dedicated to furthering personal development and team success. We are searching for an experienced Federal, Civilian Sales Executive that has a real passion for technology and can deliver on bold revenue targets. As we continue to enter into bigger markets, and formalize our support for the Public Sector enterprise segment, this division within Datadog will blaze the path for organizational growth. This is a lucrative opportunity to break into new Civilian Agencies within a rich territory, as well work with accounts who are in a hybrid state and transitioning to the cloud. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Prospect into large Fortune 1000 companies while running an efficient sales process Maintain, build and own specific relationship maps for your territory including existing relationships and aspirational contacts Develop a deep comprehension of customer's business Negotiate favorable pricing and business terms with large commercial enterprises by selling value and ROI Handle existing customer expectations while expanding reach and depth into assigned territory Demonstrate resourcefulness when faced with challenges that defy easy solution Have intuitive sense of necessary steps to close business and gain customer validation Identify robust set of business drivers behind all opportunities Ensure high forecasting accuracy and consistency Who You Are: Someone with 5+ years closing experience (mix of fiel

Scale is looking for a Support Systems & Routing Specialist to own and optimize the core infrastructure powering our contributor support operations. In this role, you will be responsible for configuring and maintaining systems like Zendesk, designing routing logic, and building scalable frameworks that ensure tickets are assigned accurately and efficiently. As our operations continue to grow, this role will play a critical part in ensuring our support systems scale seamlessly with increasing volume and complexity. You will partner closely with Support Ops, Product, Engineering, and cross-functional stakeholders to translate operational needs into robust system configurations. You will be part of a highly detail-oriented and systems-driven team, where your work directly impacts operational efficiency and contributor experience. This role is ideal for someone who thrives in building and improving systems that others rely on daily, and who enjoys solving complex operational challenges at scale. You will: Own end-to-end Zendesk configuration, including ticket forms, fields, macros, triggers, automations, SLAs, and views Design and maintain routing logic to ensure accurate ticket distribution across skills, queues, and teams Build and manage the support agent skills framework (skills, tiers, certifications, queue structures) Monitor and optimize queue health, load balancing, and ticket assignment accuracy Configure and maintain integrations across support tools and reporting systems Troubleshoot system issues and partner with Engineering or vendors when needed Collaborate with Support Ops, T&S, TPMs, and Product to implement and improve workflows Document system configurations, workflows, and best practices clearly Provide training and guidance to stakeholders on system usage and routing logic Ideally you’d have: Experience administering Zendesk or similar support CRM systems Experience designing routing logic or managing skills-based systems in high-volume envir

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. We are seeking a Senior Software Engineer - Instawork Robotics to contribute to the development of next-generation products as a key team member driving impactful features from concept to production. You will collaborate across Engineering, Operations, and Business teams to translate customer requirements into clear, scalable technical solutions, leveraging AI methodologies to deliver high-quality products and efficient software workflows. You’ll work across distributed systems, Kubernetes, cloud infrastructure, observability, and high-throughput data workflows—supporting a platform already processing 50+ PB of data and 600K+ hours of video. You are someone who thrives in ambiguous problem spaces, has strong product instincts, and can translate customer needs into technical solutions that drive business outcomes. Who You Are: 5+ years of professional experience with a focus on high-growth product environments, particularly in Robotics, AI/ML, and related fields. Strong coding and architectural proficiency—you prioritize moving quickly down the right path to ship reliable code daily Full-stack proficiency—comfortable across backend services, APIs, and modern frontends (React, Angular, or Vue.js) Strong product instincts—you translate customer needs into technical solutions that drive business outcomes AI-First mindset—expertly using AI coding tools to accelerate delivery without compromising architectural integrity Agile execution—you understand the lifecycle of a feature from local branch to production m

Lead AI Engineer (Senior/Principal Consultant) Location: London (Hybrid) | Practice Area : Technology & Engineering | Type: Permanent Empower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems. The Role We’re looking for a Lead AI Engineer (Senior/Principal Consultant) to join our Technology Delivery Team. You’ll combine your expertise in AI/ML engineering and software development to build and deploy cutting-edge generative AI and agentic systems across the financial services sector. As a hands-on leader, you’ll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes through advanced engineering, scalable pipelines, and deep cross-functional collaboration. What You’ll Do Architect and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video) Design agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG Fine-tune, optimize, and deploy large language and multi-modal models with a focus on performance and latency Build scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deployments Guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption What We’re Looking For Bachelor’s degree or higher in Computer Science, AI, or related STEM fields Hands-on experience deploying LLMs and multi-modal models at scale Strong engineering background in Python with proven backend and API development skills Solid understanding of scalable MLOps, observability, and cloud-native AI deployment Excellent communication, problem-solving, and project management skills in agile environments Bonus Points For Experience with agentic frameworks (e.g., LangChain, LlamaIndex) Experience in deep learning frameworks and front-end development Familiarity with Langfuse, Langsmith, or other LLM observability tools Understanding of Model Context Protocol

About the Team: A well-established quantitative portfolio management team at Point72 is looking for an experienced quantitative professional to develop and trade systematic macro strategies, with a focus on market microstructure. The candidate will be given the resources and support to drive the build out and expansion of the quantitative macro business. Role/Responsibilities: Perform rigorous and innovative research to develop systematic signals for global macro (futures, FX, etc.) markets, with a focus on market microstructure signals Perform feature engineering with order book tick data at intraday to daily horizons Perform feature combination using various modeling techniques ranging from linear to machine learning models Participate in the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation Help drive the growth of the investment process and research capabilities of the team Work in a team of highly qualified and motivated individuals with access to a cutting-edge research and trading infrastructure and clean datasets Assist in building, maintenance, and continual improvement of production and trading environments Requirements: MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics 4+ years of experience in quantitative research, building statistical models for intraday to daily trading, as part of a successful proprietary trading team with a track record Knowledge of market microstructure for futures and/or FX Prior experience with tick data based feature generation, modelling, and monetization Demonstrated proficiency in Python, R, or C/C++. Familiarly with data science toolkits, such as scikit-learn, Pandas Collaborative mindset with strong independent research abilities Commitment to the highest ethical standards

About the Team: A well-established quantitative portfolio management team at Point72 is looking for an experienced quantitative professional in the intraday to mid frequency systematic macro space. The candidate will be given the resources and support to drive the build out and expansion of the quantitative macro business. Role: Perform rigorous and innovative research to develop systematic signals for global macro (futures, FX, etc.) markets Work with price-volume and alternative data at intraday to multiday (up to 2-3 weeks) horizons in the mid-frequency space Participate in the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation Work in a team of highly qualified and motivated individuals with access to a cutting-edge research and trading infrastructure and clean datasets Responsibilities: Develop systematic trading models across global futures (equity indices, commodities and fixed income) and/or FX markets Alpha idea generation, backtesting, and implementation Evaluate new datasets for alpha potential Contribute to and enhance portfolio optimization, allocation and risk management processes Help drive the growth of the investment process and research capabilities of the team Assist in building, maintenance, and continual improvement of production and trading environments Requirements: MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics 4+ years of signal research or portfolio management experience in futures markets and/or FX as part of a successful proprietary trading team with a track record Prior professional experience with signal combination, portfolio optimization and risk management Demonstrated proficiency in Python, R, or C/C++. Familiarly with data science toolkits, such as scikit-learn, Pandas Collaborative mindset with strong independent research abilities Commit