Engineer 3 Jobs

Embedded Systems and Platform Engineer — Bengaluru, Karnataka, India. Apply via Workday.

Senior System Software Test Engineer, Networking — US, CA, Santa Clara. Apply via Workday.

ML Services Software Development Engineer — Bucharest. Apply via Workday.

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. As an Executive Assistant at Plaid, you will play a crucial role in enhancing the productivity and operational efficiency of our leaders and their teams. Success in this fast-paced environment requires exceptional organization, proactive problem-solving, and strategic priority management. This position is ideal for a team-player who is a highly motivated self-starter, ready to execute with precision and discretion in a dynamic setting. Responsibilities Support Partnership: Provide executive and administrative support to 3-4 Product and Engineering leaders/teams Calendar Management: Efficiently manage and own complex calendars, scheduling, and logistics for leaders Relationship Development: Partner closely with leaders and team both internally and externally, with composure and discretion Meeting Coordination: Coordinate internal meetings and ensure agendas are tracked and action items are circulated and followed up on Project Management: Execute cross-functional projects, including drafting team-wide communications and managing logistics for All Hands and internal events Travel Planning: Manage complex travel arrangements and coordination Team Connection Logistics: Own end-to-end planning, vendor ma

Datadogのセールス・エンジニアは、顧客やパートナーとの商談を成立させるためのサポートを行います。現状のモニタリング・運用などの体制に課題をかかえ改善していきたいお客様や、Datadogの購入を検討頂いているお客様などにテクニカルデモンストレーション、技術評価（POV）、疑問点・問題点の解決等の提案・サポートを通じて、技術的な専門知識を提供します。セールスエンジニアは、プロダクトチームと連携し、お客様、競合他社、パートナー様からの情報に基づいて機能の優先順位を決める手助けをします。また、様々なチームと連携して、お客様の悩みを解決したり、バグ問題をエスカレーションしたり、当社ブランドのアンバサダーとしての役割も担っていただきます。フレンドリーかつ情熱的で、無限の可能性を秘めたチームに参加したい方は、ぜひご応募ください。 Datadogでは、人間関係やコラボレーション、創造性といったオフィスカルチャーに価値を置いています。Datadogが自分に合ったワーク・ライフ・ハーモニーを実現できるよう、ハイブリッド型ワークプレイスとして運営されています。 業務内容 営業チームと連携し、Datadogのバリュープロポジション、ビジョン、戦略を顧客に明確に伝えること 新しい技術を継続的に学習し、競争力のある知識、技術スキル、信頼性を構築する 潜在的な顧客との製品および技術的なプレゼンテーションの実施 プロダクトチームと直接コミュニケーションを取り、機能リクエストについて協力すること 顧客が製品を使いこなすのを助け、障害に直面したときに支援する プリセールスライフサイクルにおける様々な技術的課題に対してクリエイティブな思考をする 求める経験・スキル DevOpsモニタリングまたはアーキテクチャツールの知識と経験があること 外部顧客または社内チームに対する技術プレゼンテーション/デモの実施に慣れと自信がある方 様々な課題に対してクリエイティブに考えることができる。日々新しい発見がある方 システム管理の経験がある方WindowsまたはLinux Datadogは、様々な立場の人を大切にします。私たちは、誰もが初日から上記の資格をすべて満たすわけではないことを理解しています。それでもかまいません。テクノロジ ーに情熱を持ち、自分のスキルを伸ばしたいと思っている方は、ぜひ応募してください。 福利厚生と入社後の成長 トップクラスのオンボーディング 充実した グローバル の福利厚生 社内ネットワーキングのための部門内メンター＆バディプログラム 新入社員持株会（RSU）と従業員株式購入制度(ESPP) 継続的な専門能力開発、製品トレーニング、キャリアパス構築の機会 包括的な社風で、コミュニティ・ギルドやインクルージョン・トークに参加できる 上記の福利厚生は、雇用される国やDatadogでの雇用形態によって異なる場合があります 。 #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin

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. Palantir Year We've had surging demand from undergrads who want to get into the arena faster. You've told us you can't sit in lectures while the biggest story of our lifetime is written around you. It's clearer every day, it's being written faster than ever. If that's your spirit, you'll feel right at home here. Come join us for a year. Do real, critical work with the engineers and customers building the future. Many of our interns find they want to stay - perhaps you will too. The Role Build software and deliver customer outcomes. You'll work on real problems: helping customers deploy AI-powered solutions, building the software platforms of the future, and transforming how organizations operate. You'll be held to the same performance standards as any Palantir engineer, and your career progression will be based purely on merit and impact. Every incentive we have points toward putting our best people in the highest-leverage positions, as fast as possible. You’ll have the rare opportunity to gain deep insight into and directly influence some of the world’s most critical industries and institutions. By building on Palantir’s powerful platforms leveraging integrated cutting-edge AI, you’ll help organizations unlock the full potential of their data to make smarter, faster decisions.

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 Palantir Foundry is an end-to-end platform for data-driven decision-making. We're transforming the way organizations securely integrate their data, so they can then build reliable, critical applications atop that unified foundation. Our customers use Foundry to perform rich analyses that drive core operations within their organizations. They can also build sophisticated, full-fledged programs, such as common operating pictures, alert-triaging inboxes, and resource allocation planning tools driven by rich-ML models. As a Senior Front End Software Engineer focused on application development in Foundry, you will be responsible for crafting the tools used by thousands of users to build the sophisticated applications that power their businesses. You will be architecting and developing interfaces, state management and access patterns to support data-intensive workflows that are both powerful and approachable. You may spend one day interviewing users to better understand their needs and identifying product gaps to improve. The next day, you might find yourself considering that customer context along with signal gathered from other customers in different industries, brainstorming approaches to handling intricate UX needs with your teammates. You’ll regularly be faced with sophisticated technical problems, requiring you to scope out the solution design and finding an incremental path to shipping the new features. As part of this, you will own APIs and schemas that power your frontend code, or work with other backend engineers in developing them together. We’re hiring engineers who are passionate about solving real-world problems and empowering both developers

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 Palantir Foundry is an end-to-end platform for data-driven decision-making. We're transforming the way organizations securely integrate their data, so they can then build reliable, critical applications atop that unified foundation. Our customers use Foundry to perform rich analyses that drive core operations within their organizations. They can also build sophisticated, full-fledged programs, such as common operating pictures, alert-triaging inboxes, and resource allocation planning tools driven by rich-ML models. As a Senior Front End Software Engineer focused on application development in Foundry, you will be responsible for crafting the tools used by thousands of users to build the sophisticated applications that power their businesses. You will be architecting and developing interfaces, state management and access patterns to support data-intensive workflows that are both powerful and approachable. You may spend one day interviewing users to better understand their needs and identifying product gaps to improve. The next day, you might find yourself considering that customer context along with signal gathered from other customers in different industries, brainstorming approaches to handling intricate UX needs with your teammates. You’ll regularly be faced with sophisticated technical problems, requiring you to scope out the solution design and finding an incremental path to shipping the new features. As part of this, you will own APIs and schemas that power your frontend code, or work with other backend engineers in developing them together. We’re hiring engineers who are passionate about solving real-world problems and empowering both developers

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 We’re looking for Forward Deployed Site Reliability Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for our production infrastructure, primarily across on-prem environments for the US Government. Forward Deployed Site Reliability Engineers combine engineering experience and an innate drive to improve existing systems and processes, with the creativity to develop novel solutions to evolving challenges. Our team strives to automate processes wherever possible, using whichever tools are best for the job. You’ll travel to various locations where you will be the expert for Palantir’s infrastructure, helping partner teams build & configure their hardware and network for software to operate reliably within. We strongly believe in engineering teams being responsible for the operations of their services in production. In this role, you’ll work closely with engineers to advocate and participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues.

T-7A Aero Performance Engineer — USA - Berkeley, MO. Apply via Workday.

Air Proprietary 2 Hardware Engineering Manager - Flight Simulation Labs — USA - Berkeley, MO. Apply via Workday.

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Our robotics team is growing and we are looking for a Software Engineer to join our Sensor Data and Calibration team. We are searching for an engineer with robotics and machine learning expertise to develop synthetic sensor simulation models and algorithms. The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods (e.g., NeRF or Gaussian splatting) for generating synthetic sensor data (photorealistic images, realistic lidar and/or radar, etc.). About the Work Research, develop, and implement state-of-the-art synthetic sensor simulation methods Analyze and characterize the realism and utility of synthetic sensor data Answer critical questions about sensor data and autonomy performance Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements Role is scoped as a Senior/Staff IC with the flexibility to grow into

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role We are looking for a Senior/Staff Machine Learning Engineer to be a technical leader on Nuro’s Behavior & Planning team. Our team owns how the Nuro Driver behaves on the road: prediction, decision making, and planning, and is responsible for turning Nuro’s large-scale driving data into safe, comfortable, and natural driving behavior. In this role you will bring strong, general machine learning expertise to some of the hardest problems in autonomy and drive them from research through to deployment on real vehicles. You’ll work at the frontier of applied ML spanning areas such as foundation and world models, LLM/VLM reasoning, reinforcement and imitation learning, generative and diffusion models, and transformer-based prediction and planning. You’ll apply this knowledge and experience to make our driving generalize as we scale across new geographies as we expand throughout the U.S. and globally, and across new vehi

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is hiring a Senior Machine Learning Operations Engineer to architect our machine learning production lifecycle. Your mission is to maintain and deploy ML models to a scalable, reliable, and secure production environment. You will design and maintain the infrastructure, automation, and monitoring systems that ensure our AI products are high-performing and cost-effective. You will report to our Director, Analytics Engineering & Data Governance and work from our Bangalore, India office. You Will: Model and Pipeline Automation Automate the deployment and retraining of ML models, from training through to production inference, by building and managing complete CI/CD/CT (Continuous Training) pipelines, adhering to MLOps best practices. Build, fine-tune, or use pre-trained LLMs, deep learning models or traditional machine learning models. Evaluate and recommend AI or ML solutions for the product using any combination of vendor solutions and/or custom-built models. Governance & Compliance Implement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards. Performance Monitoring Continuously monitor the health and performance of production machine learning models, proactively identifying and correcting model drift, staleness, and performance degradation. Incorporate user feedback for iterative improvements and manage necessary model retraining cycles. Cross-Functional Collaboration Act as the "glue" between Data Scientists (who build models

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Job Description/ Responsibilities: Designing, developing and maintaining stable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production. Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow. Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data Technology Eva