Field Security Specialist Jobs

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

Senior Data Analyst – Tableau Role Overview We are looking for a Senior Data Analyst to work on a broad range of data analytics, data visualization, and business intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical and BI solutions while collaborating closely with Data Engineering teams. The ideal candidate should have strong hands-on expertise in Tableau , along with a good understanding of Power BI and DAX , and practical experience in migrating Tableau dashboards and reports to Power BI . Key Responsibilities Work on a wide range of data analytics, data visualization, and business intelligence problems across various industries. Engage with clients and business stakeholders to understand business context, objectives, and challenges. Analyze and document business processes, mapping end-to-end workflows using visual formats such as process flow diagrams. Translate business problems into analytical solutions by defining metrics, KPIs, dashboards, and reports. Develop, publish, and maintain interactive dashboards and visualizations using Tableau and Power BI. Perform Tableau-to-Power BI migration, including assessment of existing Tableau dashboards, reports, data sources, calculations, and business logic. Translate Tableau functionality such as calculated fields, LOD expressions, filters, parameters, and data models into equivalent Power BI implementations. Develop and optimize Power BI reports, data models, measures, and DAX expressions. Perform storyboarding to structure analytical insights and present clear, compelling narratives to stakeholders. Collaborate closely with Data Engineering teams by providing clear and detailed requirements. Ensure data accuracy, consistency, and adherence to best practices in reporting and analytics delivery. Perform QC checks and validation of reports and dashboards before client delivery

Autonomous vehicles have some of the largest, most complex software ever shipped in a safety-critical environment. Solving that problem is one of the most exciting technical challenges of our lifetime. Zoox is seeking a highly motivated System Test Engineer to be a technical contributor supporting the System Integration and Validation team. You will be leading the integration and validation of cloud and operational elements to ensure the product meets safety, customer needs, and milestone readiness. You will be responsible for designing and developing test efforts at the highest level of integration, including feature validation, functional, and regression testing, toward the successful execution and reporting of these efforts. In this role, you will: Develop test plans and test cases that are abstracted to the highest level of integration Focus on automating testing utilizing internal Hardware in the Loop (HIL) and Software in the Loop (SIL) assets Review data, collect metrics, and provide quantitative evidence to report on milestone readiness Analyze vehicle logs and test data using in-house tools to trace failures for root cause analysis, documentation, and communication Support the defect management process from recognition to resolution Qualifications: Bachelor’s or Master’s degree in Computer Science, Aerospace Engineering, Electrical Engineering, or STEM-related field 3+ years of industry experience in testing complex systems (integration of cloud tools, cloud and cloud networking, mobile applications, application UI, and operational workflows) Experience with designing, developing, and executing test methodologies that scale across multiple teams Strong software development experience with high-level language (e.g. Python, Pytest, REST API), along with version control systems (e.g Git) Integrated systems troubleshooting experience Bonus Qualifications: Expe

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise. Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members. What you’ll do: Perform Simulation / Modeling of HV, LV, and communication EMC emissions and susceptibility Perform design for survivability under ESD and lightning strike Determine EMC filter designs and critical component specifications Work closely with mechanical, electrical, power, controls, and PCB engineers to meet EMC goals Work closely with vendors to realize EMC filter hardware Manage Y-capacitor budget allocations to optimize filter designs and to meet EMC emission targets as well as vehicle level SWaP-C goals Generate EMC test procedures, equipment list, setup EMC lab, and perform / document EMC test results Create and manage budgets for leakage resistance, Y-capacitance, and X-capacitance Lead module / subsystem / vehicle integration troubleshooting efforts What you need: BS Degree in Electrical Engineering with 11 years or MS Degree with 9+ years or PhD with 7+ years of experience in related fields Sound knowledge and hands-on experience in HV, LV, and communication bus architecture covering safety and functional requirements Familiarity with battery, power electronics, charging, and typical exposures anticipated for aerospace systems Experience in performing modeling of EMC systems in circuit simulation tools (spice, Matlab/Simulink, etc.) Familiarity with power electronic controls methods t

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role Software engineers (Ad Cloud Bidding) at Appier Tokyo office build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer , you will contribute to building scalable backend systems while also participating in service operation activities, including deployment, monitoring, and incident response, to ensure reliable and high-performing distributed services. Responsibilities Design, implement, and optimize backend services Participate in code reviews and contribute to system design discussions Collaborate with cross-functional teams to deliver robust and high-performance systems Troubleshoot production issues and contribute to root cause analysis Support system deployment, monitoring, and maintenance in production environments Participate in on-call rotations and lead incident response when required About You [Minimum qualifications] BS/MS degree in Computer Science or related fields 3+ years of experience in software development Experience in modern C++ programming (C++11 and later) Familiar with Unix/Linux environments Good interpersonal and problem-solving skills and strong sense of ownership [Preferred qualifications] Good understanding of system programming Experience in developing low-latency (millisecond-scale) and high-throughput (>1K QPS per machine) systems Experience in service optimization and performance tuning Experience in modern build systems Experience in operation automation tools [Language] Fluent in English or Chinese. Open to

The Autonomy Behaviors team is responsible for producing our vehicle’s driving trajectory. As a Principal ML Engineer, you will lead the technical development of machine learning algorithms for our next-generation ML Planner. Your impact will range from delivering innovations for immediate milestones to pioneering exploratory projects. You will collaborate closely with teams specializing in Foundation Models, Perception, Simulation, and Safety Validation, in influencing our autonomy stack. Your role will look at problems in a way that crosses team boundaries to prototype new approaches that influence the long term technical direction of multiple organizations within the company. In this role, you will: Set the technical direction of ML development for the future of our Planner Push the frontiers of imitation learning, reinforcement learning, and model scaling to develop new ML models for our onboard Planner Identify and drive force-multipliers for ML development, including metrics, data, and training frameworks Develop new methods to leverage Zoox’s Foundation Models into the ML Planner Provide technical mentorship to the broader group of ML developers at Zoox Collaborate with engineers across Autonomy Software, Simulation, System Design and Mission Assurance, and other departments to solve the overall Autonomous Driving problem in complex urban environments Qualifications BS, MS, or PhD degree in computer science or related field Proven track record of technical leadership in large-scale AI organizations Significant experience with training and deploying Deep Learning models to production Fluency in C++ or Fluency in Python with a basic understanding of C++ Extensive experience with programming and algorithm design-Strong mathematics skills, 10+ years of experience Bonus Qualifications Conference or Journal publications in Machine Learning or Robotics related v

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. We are looking for a Principal Systems Engineer to lead the design and assurance efforts for overall safety and fail-operational initiatives. In this highly visible position, you will lead technical programs with cross-functional teams, defining, developing, and continuously refining the methodology for measuring and optimizing safety and fail-operational metrics. You will serve as a trusted technical partner for the Vice President of System Design and Mission Assurance, at times representing the Vice President in leadership meetings. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential. This highly visible position offers opportunities for career growth through demonstrated achievement. In this role, you will: Define and refine the strategy and architecture for the Systems Engineering efforts that guide Zoox’s approach to safety and fail-operational initiatives Lead and oversee the definition, development, and evolution of safety and fail-operational metrics that measure the robotaxi’s ability to safely complete customers’ journeys Review and approve mission assurance clearance documents Communicate complex metric concepts, data analyses, and actionable insights to diverse stakeholders and executives Coach and mentor SDMA systems engineers, fostering their career growth and strengthening SDMA’s technical bench Qualifications M.S. or higher degree in an Engineering, Computer Science, or a related field At least 10 years of relevant professi

RDQ127R47 At Databricks, we are passionate about enabling every organization to harness the power of data and AI. Our mission is to build the best platform for developing, deploying, and operating AI applications at scale—so customers can use intelligence to transform their businesses. More about the Team: The Databricks AI team is at the forefront of shaping how enterprises leverage AI. Our mission is to create foundational capabilities that empower customers to develop agents and models, orchestrate complex workflows, and seamlessly integrate AI into their data and applications. The AI industry is evolving rapidly, and our work demands both first-principles thinking and the agility to adapt to these changes. We are not just building features; we are fundamentally transforming how the world builds with AI. The impact you will have: Shape the future of enterprise AI: Define and drive the vision for how Databricks helps customers harness generative AI, agents, and new workloads that don’t exist yet Turn breakthroughs into products : Partner with world-class engineering and research teams to transform cutting-edge AI advancements into practical, trusted tools for millions of users. Expand what’s possible for customers : Engage directly with data and AI leaders to uncover new use cases — then design products that make the once-impossible accessible and repeatable. Be the voice of vision and execution : From concept to launch, you will inspire the roadmap, guide engineering, and tell the story of how Databricks AI is changing what customers can achieve. Build for scale and longevity : Define the strategy and principles that will guide Databricks AI for years, even as the industry evolves at unprecedented speed. What we look for: 5+ years of product management or equivalent experience, preferably with enterprise SaaS or developer platforms. Strong technical background in computer science, AI/ML, or related engineering fields (educational or professional). Proven ability

RDQ127R47 At Databricks, we are passionate about enabling every organization to harness the power of data and AI. Our mission is to build the best platform for developing, deploying, and operating AI applications at scale—so customers can use intelligence to transform their businesses. More about the Team: The Databricks AI team is at the forefront of shaping how enterprises leverage AI. Our mission is to create foundational capabilities that empower customers to develop agents and models, orchestrate complex workflows, and seamlessly integrate AI into their data and applications. The AI industry is evolving rapidly, and our work demands both first-principles thinking and the agility to adapt to these changes. We are not just building features; we are fundamentally transforming how the world builds with AI. The impact you will have: Shape the future of enterprise AI: Define and drive the vision for how Databricks helps customers harness generative AI, agents, and new workloads that don’t exist yet Turn breakthroughs into products : Partner with world-class engineering and research teams to transform cutting-edge AI advancements into practical, trusted tools for millions of users. Expand what’s possible for customers : Engage directly with data and AI leaders to uncover new use cases — then design products that make the once-impossible accessible and repeatable. Be the voice of vision and execution : From concept to launch, you will inspire the roadmap, guide engineering, and tell the story of how Databricks AI is changing what customers can achieve. Build for scale and longevity : Define the strategy and principles that will guide Databricks AI for years, even as the industry evolves at unprecedented speed. What we look for: 5+ years of product management or equivalent experience, preferably with enterprise SaaS or developer platforms. Strong technical background in computer science, AI/ML, or related engineering fields (educational or professional). Proven ability

As a Perception Engineer, you will be instrumental in designing and implementing cutting-edge detection models, utilizing fused sensor data. In particular, the role will be on advanced projects that are aimed at the next generation of driving software, including looking at joint detection and tracking models as well as ways to send rich embeddings to downstream models to relay semantic meaning and capture uncertainty. This role offers a unique opportunity to directly impact Zoox's expansion into new areas. By developing more generalizable and adaptable models, you will help us navigate diverse and challenging circumstances, accelerating our mission to deliver safe and reliable autonomous mobility. We are looking for a highly motivated individual passionate about pushing the boundaries of perception in the autonomous vehicle space. In this role, you will: Train ML models, perform various studies into incorporating SOTA approaches as well as ablations/modifications of existing models Document experimental outcomes and drive towards deploying these models into Zoox robots Visualize your data at the input and output to understand the issues Collaborate with teams such as ML optimization, data labeling, metrics and planner to ensure project is successful for Zoox releases Qualifications MS/PhD in Computer Science or related field Experience with PyTorch or related ML frameworks Experience deploying learned models into production Excellent collaboration and teamwork skills with proven track record of working on large-scale problems Bonus Qualifications Prior experience in the AV or related space with joint detection and tracking models Deep understanding of how to setup end-to-end training and evaluation processes About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting a

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Team The Middleware team is committed to pushing the ultimate optimization of existing technologies but also continuously exploring frontier technologies and innovations, striving to lead industry changes. Our projects cover multiple fields such as microservice governance, RPC frameworks, MQ messaging middlewares, and data middlewares, providing solid technical support for the company's business. We advocate an open, sharing, and cooperative cultural atmosphere, and we look forward to pushing the frontier of technology for the organization. What You’ll Be Doing Responsible for the overall architecture design and optimization of microservice governance frameworks (e.g., SpringCloud), RPC frameworks, MQ messaging middlewares (e.g., Kafka), and data middlewares (including RDB databases such as MySQL, NOSQL such as Redis, Elastic Search, etc.). Conduct in-depth research and select appropriate technical solutions, driving the selection and implement

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

The Behavior Capabilities opportunity falls within the Fail Operational Planning team at Zoox. This team works to ensure that the robot continues to operate effectively, even in the presence of minor compartmentalized failures or degraded capabilities. The focus of the team includes developing behavioral and motion planning algorithms to improve trip progress, vehicle uptime metrics, and correspondingly a better customer experience. This is a cutting-edge problem which requires teamwork and collaboration across a diverse group of experts including Planner, Perception, Prediction, Hardware, and more. On this team, you will contribute to the next generation of algorithmic advancements to expand our robot’s ability to drive in some of the most complex scenarios. We are looking for an engineer who is excited to understand the interdependencies within the driving stack and takes ownership of their projects and has a holistic product focused approach towards development. Responsibilities Create principled algorithmic improvements to specific areas of driving behavior and implement those changes in our code base. Collaborate cross-functionally to develop strategies and intelligent behaviors to mitigate the performance degradation under various failure modes of the system. Architect and implement scalable solutions ensuring seamless integration with the rest of the driving stack. Partner with validation teams to define and execute tests for developed algorithms. Qualifications Master's degree in Computer Science or related field Fluency in C++ Extensive experience with programming and algorithm design Understanding of vehicle kinematics 4+ years of experience in a related field Bonus Qualifications PhD in Computer Science, Electrical Engineering, Mechanical Engineering, or related field Experience shipping products to market (commercial robotics, drones, consumer devices etc.

Our Perception team is responsible for using our sensor data to understand the complex and dynamic environments where we drive. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components. As a Senior Staff ML Engineer, you will lead the development of machine learning algorithms that can range in influence from onboard autonomy to offboard autonomy and validation. You will collaborate closely with other teams specializing in Prediction, Planning, Simulation, and Safety Validation, influencing our overall technical stack. Your role will look at problems in a way that crosses team boundaries to prototype new approaches that influence the long term technical direction of multiple organizations within the company. The impact of the role can be in the form of impacting immediate company milestones to leading forward-looking exploratory projects. Responsibilities Develop new algorithms to understand the scene around the robot, and how that scene would evolve through time Build multi-modal foundation models for on-vehicle and offline applications Develop new algorithms to apply generative AI to simulation to improve the realism of our offline validation systems Leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field Provide technical mentorship to the broader group of ML developers at Zoox Collaborate with engineers on Prediction, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments Qualifications BS, MS, or PhD degree in computer science or related field Experience with training and deploying Deep Learning models on sensor data-Experience

The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Learned Trajectory Machine Learning Engineer you will be responsible for developing deep learned models that produce trajectories for our vehicles to drive. Given the tight integration of behavior prediction and motion planning, you will closely collaborate with the Planner and Perception teams in the advancement of our overall vehicle behavior. In this role, you will: You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle. You will also work on techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort etc. You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field You will develop metrics and tools to analyze errors and understand improvements of our systems You will collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments Qualifications BS, MS, or PhD degree in computer science or related field Experience with training and deploying transformer-based model architectures and reinforcement learning Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency in C++