Senior Financial Planning & Analysis Analyst - Technical Infrastructure

Waymo seeks a Senior Financial Planning & Analysis Analyst to focus on technical infrastructure in Mountain View, CA. This role plays a key part in supporting the financial direction of Waymo’s autonomous vehicle technology. Role overview This position centers on financial planning and analysis for technical infrastructure projects. The analyst will work clo…

Join Waymo as a Senior FP&A Analyst in our Supply Chain team, where you'll play a critical role in shaping financial strategies and supporting effective decision-making. Leverage your expertise in financial planning and analysis to drive insights and optimize our supply chain operations.

ServiceNow seeks a Senior Staff Outbound Product Manager to guide the direction and market impact of its AI Assistant products. Based in Mountain View, this role centers on understanding customer needs and tracking industry trends to shape product strategy. Role overview This position focuses on the strategic development and positioning of AI Assistant technologies. The Senior Staff Outbound Product Manager works closely with teams across product, engineering, and marketing to define both the vision and the roadmap for these offerings. What you will do Lead the strategic development and positioning of AI Assistant products Work with cross-functional teams to set product vision and roadmap Drive go-to-market plans that reflect customer needs and market opportunities Location This role is based in Mountain View.

Be Part of the Future of Home RoboticsAt sunday, we are on a mission to create personal robots that free up time spent on mundane tasks. Our goal is to make versatile robots accessible to households, allowing families to reclaim precious moments.After 18 months of dedicated efforts in building a skilled team, securing funding, and validating our technology, we are excited to invite passionate individuals to join us for the next stage of our journey. If you are eager to contribute your expertise at the cutting edge of robotics innovation, we would love to connect with you.Your RoleAs a Full Stack Engineer, you will play a pivotal role in developing the next generation of robotic intelligence. You will navigate our entire ecosystem, from our global data collection framework to machine learning training and robot management platforms. We seek creative

Join Us in Shaping the Future of Home RoboticsAt sunday, we are on a mission to develop personal robots that help you reclaim precious time lost to repetitive chores. Our vision is to make versatile robots widely available, allowing families to enhance their quality of life.Over the past 18 months, we have assembled a talented team, secured necessary funding, and validated our cutting-edge technology. We are now looking for passionate individuals who are eager to contribute to the next phase of our expansion. If you're ready to apply your expertise in robotics innovation, we want to hear from you!Your RoleAs a Full Stack Engineer specializing in Robot Management, you will be the architect behind our fleet's

ID.me seeks a Principal Technical Lead Manager to guide two core engineering teams: Organization Platform and Data Acquisition & Normalization. This leadership role is based in Mountain View, California. Role overview The Principal Technical Lead Manager will shape how organizations are represented, validated, and trusted within the ID.me Identity Trust Graph. The position also oversees management of attribute data that supports trust decisions across the platform. Organization Platform This team is responsible for building and maintaining APIs and services that create, validate, and manage organization records. Key areas include application management, domain verification, business onboarding, and managing relationships between organizations. Their work enables developer portal adoption, partner integrations, and supports downstream identity workflows by providing an authoritative source for business and institution representation. Data Acquisition & Normalization This group develops connectors to authoritative and commercial data sources, such as government registries, telecom providers, and licensing authorities. The team standardizes varied data into common schemas and integrates validated attributes into the trust graph at internet scale. What you will do Oversee technical architecture, delivery, reliability, and operational health for both the Organization Platform and Data Acquisition & Normalization teams. Support the growth and performance of engineering teams working on these platforms. Work closely with Product and other stakeholders to ensure alignment and successful outcomes. This position is located in Mountain View, California.

Arago brings together AI researchers, physicists, and engineers to develop technology that connects artificial intelligence with semiconductor hardware. The team combines backgrounds in photonics, electronics, software, mathematics, and machine learning, and operates from France, North America, and Israel. Colleagues represent nine nationalities, adding to a global perspective. Role overview The Talent Acquisition Lead will be based in Mountain View and play a key role in building the team behind Arago’s mission to advance AI and hardware. This position works directly with experts and leaders from around the world, shaping hiring strategies and supporting a diverse, high-performing group. Our values Achieve Greatness: Set and meet high standards in all work. Speed Matters: Prioritize rapid, effective progress. Unity: Foster trust, respect, and strong teamwork. Who we work with Arago benefits from the guidance of leaders from Apple, Arm, Nvidia, Microsoft, and Hugging Face, along with support from venture firms in the US and Europe. The company focuses on deep tech, aiming to push the boundaries of innovation.

OverviewStep into the forefront of innovation with Google DeepMind as a Senior Staff AI Product Designer on the GeminiApp team. In this pivotal role, you will craft exceptional iOS experiences that redefine how users interact with AI. This is an extraordinary opportunity to engage in cutting-edge AI interface experimentation while addressing complex design challenges that have a significant impact. Your contributions will be vital in developing groundbreaking interaction patterns and immersive multimodal experiences, ensuring they align seamlessly with iOS guidelines and standards. Your work will transcend conventional chat interfaces to forge the next generation of ‘natively AI’ designs.About UsAt Google DeepMind, we believe that artificial intelligence holds the potential to be one of humanity's greatest assets. Our diverse team of scientists, engineers, and machine learning specialists is dedicated to pushing the boundaries of AI for the greater good, advancing scientific discovery, and addressing critical challenges with unwavering commitment to safety and ethics.About the RoleAs the Senior Staff AI Product Designer for Gemini on the iOS platform, you will pioneer innovative mobile interactions that set new standards. We seek candidates with a minimum of 5 years of experience in designing acclaimed iOS consumer applications. This position goes beyond traditional app design; you will create conversational experiences featuring agentic behaviors and system-wide intelligence. Your exceptional solutions will thoughtfully integrate native components while introducing new patterns that elevate AI experiences on mobile devices. Collaborating closely with product managers, engineers, and researchers, you will ensure that Gemini serves as an indispensable, user-friendly application on iOS, ready to meet the instant expectations of iPhone users.

About Us Nuro is a pioneering self-driving technology company striving to make autonomous vehicles accessible for everyone. Since our founding in 2016, we have been dedicated to creating the world’s most scalable driver, integrating advanced artificial intelligence with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to support various applications, including robotaxis, commercial fleets, and personally owned vehicles. With a track record of successful self-driving deployments, Nuro is paving the way for automakers and mobility platforms to realize the commercial potential of autonomous vehicles, fostering a safer, more connected future. Role Overview As a Senior Machine Learning Research Scientist focusing on Vision-Language-Action (VLA) models, you will enhance our onboard Behavior & Planning stack to promote safe and robust decision-making in complex driving scenarios. Your expertise will drive the development of multimodal models that integrate scene understanding, contextual reasoning, and planning-relevant representations for real-world autonomous driving. This position emphasizes advancing cutting-edge VLA models, including model development, large-scale training, fine-tuning, evaluation, and optimization for onboard deployment. You will collaborate closely with teams across behavior, planning, perception, systems, and infrastructure to translate research breakthroughs into practical applications deployed in our vehicles. If you are passionate about creating and implementing state-of-the-art VLA systems in robotics, we encourage you to apply. Key Responsibilities Develop and enhance VLA models for onboard Behavior & Planning in autonomous driving systems. Create multimodal models that facilitate safe decision-making in complex and ambiguous driving situations. Research and implement state-of-the-art techniques in vision-language-action modeling, multimodal representation learning, and foundational models for autonomy. Train, fine-tune, and evaluate large-scale VLAs utilizing diverse and real-world driving datasets to improve model quality and robustness. Optimize models for efficient onboard deployment, focusing on inference speed, memory usage, and runtime performance. Collaborate with various teams to define training, evaluation, and deployment requirements. Design effective evaluation methodologies for multimodal models in safety-critical scenarios. Contribute to scalable model and data pipelines that support rapid experimentation and deployment. Qualifications Proven expertise in machine learning, particularly in vision-language-action frameworks. Experience with multimodal model development and evaluation. Strong background in autonomous driving systems and decision-making processes. Familiarity with large-scale data training and optimization techniques. Excellent collaboration skills to work effectively with cross-functional teams.

Job Title: Cloud Application Developer Location: Mountain View, CAContract Duration: 6-12 MonthsInterview Mode: Skype After PhoneWe are seeking talented Cloud Application Developers to join our dynamic team at Cygnus Professionals Inc. You will play a pivotal role in the development of our core cloud software, overseeing teams that create and deploy cloud services to support our expansive IoT ecosystem. Your expertise will ensure that our teams operate efficiently within an agile environment, collaborating closely with Product, Design, and Testing teams to meet project requirements and execute test plans in alignment with our objectives.

Logos Space develops a Low Earth Orbit (LEO) satellite network designed to provide high-performance, resilient connectivity for both commercial and government clients. The system brings cloud and data center access to a wide range of terminals, fixed, seaborne, and airborne, around the globe. The engineering team brings deep experience in networking and satellite technology, working together to deliver reliable and fast communications. Team Focus The Product and Data Link Security group manages the security and authentication protocols that protect space-based communications. This team supports Layer 2, 2.5, and 3 service models, which enable isolated data flows and end-to-end encryption. Collaboration covers both ground and spacecraft systems to ensure consistent protection across the network. Role Responsibilities Guide the security architecture for onboard satellite systems, covering both bus and payload compute elements. Design secure boot processes and implement attestation mechanisms to verify system integrity. Define and enforce trust boundaries for all onboard components. Work closely with hardware, firmware, and systems teams to uphold platform integrity throughout the lifecycle. Who Succeeds in This Role This position suits engineers who turn broad design concepts into practical, testable architectures and secure solutions. Adaptability and a hands-on approach to problem solving are valued traits within the team. Location This role is based in Mountain View or San Diego.

Who We AreGatik is at the forefront of autonomous middle-mile logistics, transforming the B2B supply chain with our innovative transportation-as-a-service (ATaaS) solution. We prioritize safety and reliability in deliveries while enhancing freight movement efficiency through reduced congestion. Our focus on short-haul, B2B logistics serves Fortune 500 retailers, and in 2021, we proudly launched the world’s first fully driverless commercial transportation service with Walmart. Gatik’s Class 3-7 autonomous trucks are actively deployed across major markets, including Texas, Arkansas, and Ontario, Canada, pushing the boundaries of innovation in freight transportation.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is specifically designed to transport freight securely and efficiently between pick-up and drop-off points on the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier™ serves as a comprehensive solution integrating advanced software and hardware that powers our fleet, ensuring seamless integration into our customers' logistics operations.About the RoleAs an AI Operations Engineer, you will be instrumental in developing the central knowledge base for our company. You will bridge the divide between our raw data and AI assistants, enabling our teams to utilize state-of-the-art models (Gemini, Claude, ChatGPT) with safety and efficiency. Your primary goal will be to design secure Retrieval-Augmented Generation (RAG) structures that allow AI to access company knowledge while strictly adhering to security protocols and data privacy.This position requires onsite presence five days a week at our Mountain View, CA office!

Join Our Innovative Team!Are you passionate about cutting-edge technologies and excited to work on impactful projects? If so, we invite you to become a part of our fantastic team at Technica Engineering Inc.!As a Project Lead focusing on Automotive Connected Vehicle Systems, you will spearhead initiatives primarily with BMW, alongside various projects involving device OEMs and technology partners. This role is based in Mountain View, CA and offers a permanent contract.About the Role:In this pivotal position, you will lead and coordinate complex automotive projects across diverse domains such as Digital Key, Infotainment, Connectivity, and Entertainment. You will manage a small team of test engineers, driving task planning, prioritization, and daily guidance while collaborating closely with customers and internal teams.This opportunity is ideal for individuals with solid automotive experience who thrive in dynamic environments and enjoy taking on significant responsibilities.

About UsNuro is pioneering self-driving technology with a mission to make autonomy accessible for everyone. Established in 2016, we are developing the world's most scalable driver, integrating advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate diverse applications, ranging from robotaxis to commercial fleets and personal vehicles. With years of proven deployment in self-driving environments, Nuro offers automakers and mobility platforms a viable pathway to commercial-scale autonomous vehicles, creating a safer, more connected future.Role OverviewAs a Senior/Staff Machine Learning Research Scientist, you will work closely with multidisciplinary teams, focusing on generative modeling to solve complex planning challenges in autonomous driving. You will utilize cutting-edge techniques—including diffusion models, flow matching, and energy-based models—to create innovative solutions that enable safe and efficient driving behavior in real-world scenarios. Additionally, you will manage the complete lifecycle of your models, transitioning them into robust applications for global autonomous driving deployments.Key ResponsibilitiesDesign and enhance state-of-the-art generative models, particularly focusing on diffusion architectures, flow-matching methods, and energy-based models, aimed at autonomous plan generation.Integrate large language models and world foundation models to facilitate reasoning, decision-making, and multi-modal generation.Employ reinforcement learning to optimize generative models for interactive reasoning, and investigate reward modeling and self-play methodologies.Create controllable generative models that steer the generation process towards specific goals and conditions.Collaborate with various autonomy teams to develop comprehensive solutions for key challenges in autonomous technology, ensuring rigorous evaluation through deployment on the Nuro Driver.

About DataVisorDataVisor stands at the forefront of the AI-powered Fraud and Risk Platform industry, delivering unparalleled detection coverage. Our open SaaS platform enables seamless data consolidation and enrichment, equipping organizations with real-time solutions for combating fraud and anti-money laundering (AML) activities. With our patented unsupervised machine learning technology, advanced device intelligence, and robust decision-making tools, DataVisor offers immediate performance enhancements. Our platform is designed for versatility, accommodating multiple use cases across diverse business units while significantly reducing total ownership costs compared to traditional solutions. Recognized as an industry leader, DataVisor serves numerous Fortune 500 companies worldwide.Our award-winning technology is driven by a talented team of experts in big data, machine learning, security, and scalable infrastructure. We foster an open, positive, collaborative, and results-oriented culture. We invite you to be part of our journey!Role SummaryWe are on the lookout for enthusiastic, recently graduated or soon-to-graduate MS or Ph.D. candidates in Computer Science, Machine Learning, Data Science, or related disciplines to join our team as AI/ML Engineering Interns.This internship provides a fantastic opportunity for candidates keen on understanding the construction and deployment of large-scale AI systems in production. You will collaborate with seasoned engineers and data scientists to contribute to the Intelligence Layer and Data Consortium that underpin DataVisor’s real-time fraud detection capabilities.Key areas of focus include distributed systems, data pipelines, machine learning infrastructure, and applied AI, with exposure to agentic flows and large language models (LLMs).What You’ll DoData Engineering & PipelinesAssist in developing and maintaining high-throughput data pipelines utilizing technologies such as Spark, Kafka, or Flink.Support the processing and aggregation of real-time signals (e.g., device fingerprints, behavioral data) into shared intelligence systems.Distributed Systems & ScalabilityLearn to design and optimize backend systems that facilitate large-scale, real-time decision-making.Contribute to enhancing system performance, reliability, and latency during high transaction volumes.AI Applications & Agentic FlowsAssist in developing AI applications and agentic workflows utilizing cutting-edge LLMs (e.g., OpenAI, Anthropic, Google).Explore natural language interfaces, intelligent rule suggestions, and automated strategy generation.Machine Learning PipelinesHelp deploy and monitor pipelines for both unsupervised and supervised ML models.Contribute to the integration of models into real-time applications.

About Us At Google DeepMind, we are on a mission to harness the power of cutting-edge artificial intelligence to create transformative experiences for millions of users across Alphabet. As a pioneer in AI research, we are dedicated to advancing the frontiers of machine learning, neuroscience, and systems engineering. Our innovative research enables breakthroughs in various fields, from scientific exploration to the development of intuitive products. We prioritize responsible and ethical AI development and cultivate a collaborative, inclusive environment where visionary thinkers unite to address some of the world's most pressing challenges. Join us to contribute to an exciting future in AI. Role We are in search of a driven and creative Staff AI Product Designer who will focus on our Growth and Discovery initiatives. In this pivotal role, you will collaborate closely with engineers, research scientists, and product managers to design and implement user-friendly solutions that empower individuals worldwide to leverage Google's premier AI models for personal enrichment and potential realization. Your contributions will be instrumental in redefining user interactions with AI. You will engage in every phase of the design process, from ideation and prototyping to final implementation, within a dynamic and collaborative setting. Responsibilities: Design Intuitive AI Experiences: Lead the creation of user interfaces and consumer experiences for Gemini across various platforms, ensuring seamless and engaging interactions. Contribute to Product Strategy: Partner with Product and Engineering to shape product strategy and influence critical decisions that enhance user satisfaction and outcomes. User-Centered Design Innovation: Transform user insights, technical knowledge, and business objectives into pioneering design solutions that elevate human capabilities and enrich lives. Systems-Thinking in Design: Employ a systems-thinking approach to develop user interfaces, recognizing how individual components affect the overall AI-powered experience, optimized for AI's probabilistic nature and multimodal functions. Create Visually Stunning Interfaces: Produce high-fidelity visual designs that capture attention and enhance usability.