Field Service Engineer at Cyngn | Mountain View, CA

Join the Future of Autonomous Technology with CyngnLocated in the heart of Mountain View, CA, Cyngn is a pioneering autonomous technology firm that specializes in deploying self-driving industrial vehicles, particularly autonomous tuggers, across factories, warehouses, and facilities throughout North America. We are on the lookout for innovative, driven, and…

Apptronik develops AI-powered humanoid robots that support people in manufacturing, logistics, and other industries. Apollo, the flagship robot, is already active in critical sectors, with plans to expand into healthcare and home settings. The team is dedicated to scaling Apollo and solving practical challenges with embodied AI. Role overview The Field Service Engineer, based in Mountain View, CA, ensures the ongoing performance and reliability of one of the world’s most advanced humanoid robots. This role manages the health of the robotic platform, addresses complex system integration issues, and resolves networking or software problems that go beyond standard repairs. Serving as the technical representative for Global Support Services (GSS), the Field Service Engineer guides customers through high-pressure situations with clear communication and strong technical skills. Main responsibilities Maximize solution availability: Conduct advanced root cause analysis for issues affecting fleet uptime, including networking, software, and integration faults. Technical liaison: Serve as the primary technical contact for customer leadership, providing guidance and ensuring satisfaction during troubleshooting and resolution. System validation: Verify that all repairs and deployments meet Apptronik’s standards before returning robots to customer use. Cross-functional collaboration: Share insights and field feedback with Engineering, Product, and other internal teams. Location This position is located in Mountain View, CA.

About NewsBreakFounded in 2015, NewsBreak is an innovative Content Intelligence platform that is revolutionizing the content economy. With over 40 million active users each month, our flagship platform offers highly personalized local news and information, driven by cutting-edge AI, recommendation systems, and advanced advertising technology.Recognized by Fast Company as #32 among the Top Workplaces for Innovators, we are proud to be Great Place to Work® certified. Our dynamic team comprises talented technologists, product innovators, and business leaders who are dedicated to tackling significant challenges at scale.Having achieved unicorn status in 2021, we are committed to maintaining this high-growth trajectory by building the infrastructure layer for content intelligence with a passionate and skilled team.If you're inspired to dream big, innovate rapidly, and make a meaningful impact, we would love to hear from you! For more details, visit www.newsbreak.com/aboutLocation: Mountain View, CACommitment: On-siteDuration: 12 weeks starting in early 2026Conversion Opportunity: High-performing interns will be considered for full-time positions.About the ProgramWe are excited to announce our 2025 Engineering Internship Program, a fast-paced, high-impact opportunity tailored for aspiring engineers eager to develop real products, deliver valuable features, and expedite their transition into full-time roles. Throughout the 12-week program, you will collaborate closely with seasoned engineers, receive hands-on mentorship, contribute to production systems, and help solve real challenges within the NewsBreak ecosystem. This is a paid, on-site internship located at our Mountain View headquarters. Exceptional interns will be evaluated for full-time offers upon completion of the program.Highlighted Projects:Interns will be matched with teams based on their skills, interests, and the needs of the business. Sample projects may include:MSP Monetization – Mountain View, CAMSP is our cutting-edge, AI-driven monetization platform that empowers publishers...

About GranicaGranica is an innovative AI research and infrastructure organization dedicated to developing reliable and steerable representations for enterprise data.We build trust through Crunch, a policy-driven health layer that optimizes large tabular datasets to ensure they remain efficient, reliable, and reversible. This foundation enables us to create Large Tabular Models—systems that learn from cross-column and relational structures to provide trustworthy answers and automated processes with inherent provenance and governance.Product Manager - Research, AI Systems & Structured DataLocation: Downtown Mountain View, CA (office-based, five days a week) Team: Research & Applied SystemsThe MissionThe Research team at Granica is pioneering foundational advancements in:Tabular data learning and large tabular modelsStructured and relational representation learningCompression-aware and efficiency-driven AIHybrid symbolic, relational, and neural systemsThe intersection of information theory, learning theory, and large-scale systemsThese initiatives are intricately linked with real production systems that process petabytes of enterprise data.As the Research Product Manager, your role will be pivotal in ensuring the coherence, efficiency, and scalability of this work—bridging people, concepts, computational resources, and systems to transform groundbreaking research into sustainable capabilities.

The OpportunityJoin our innovative AI team at Otter.ai, driving the future of AI technology to enhance the value derived from meetings and conversations. As a Machine Learning Engineer, you will collaborate with seasoned scientists and engineers to develop and deploy machine learning systems that transform groundbreaking research into production-ready features for our summarization and conversational intelligence offerings.Your ImpactArchitect, build, and evolve large-scale SID / ASR / NLP / LLM systems that are central to our mission-critical product experiences, impacting millions of conversations.Lead the design and implementation of training, fine-tuning, post-training, and inference strategies for large language and speech models using PyTorch and/or JAX, balancing quality, latency, cost, and reliability.Design and improve model architectures, loss functions, decoding strategies, and training techniques for speech and language models, guided by both research and production constraints.Own end-to-end ML system lifecycles from research prototyping through to production deployment, monitoring, iteration, and long-term maintenance.Collaborate closely with product and infrastructure teams to convert cutting-edge research into scalable, production-grade systems that yield measurable user and business impacts.Drive system-level enhancements in model performance, robustness, observability, and operational excellence using real-world conversational data at scale.Establish technical direction and best practices for ML infrastructure, data pipelines, evaluation frameworks, and deployment workflows in a cloud environment.Tackle complex, ambiguous challenges in model behavior, data quality, scaling, and system interactions, often preemptively addressing issues before they impact users.Mentor and elevate fellow engineers, shaping team standards, reviewing designs, and fostering a culture of sound technical decision-making and execution.

At Coupang, our mission is to impress our customers. We thrive when we hear our customers ask, “How did we ever live without Coupang?” Our obsession with simplifying shopping, dining, and living has led us to revolutionize the multi-billion dollar e-commerce industry from the ground up. As one of the fastest-growing e-commerce companies, we have established a remarkable reputation as a dominant and trustworthy player in South Korean commerce. We proudly embody the best of both worlds—a startup culture enriched with the resources of a large global public company. This unique blend empowers us to continue our rapid growth and launch new services at a remarkable pace. We are all entrepreneurs, constantly surrounded by opportunities to drive innovative initiatives. At Coupang, you will witness your own growth, along with that of your colleagues, your team, and the company. Our commitment to building the future of commerce is genuine. We continuously push the boundaries of possibility to solve challenges and redefine traditional trade-offs. Join Coupang today to create an extraordinary experience in this fast-paced, high-tech, and hyper-connected world. Role Overview As a Staff Machine Learning Engineer within Coupang Media Group, specifically focusing on Ads Quality, you will take charge of designing, developing, and optimizing machine learning models, algorithms, and new product features for our advertising platform. The Coupang Media Group (CMG) provides a range of marketing products and services to vendors selling their products on Coupang. Since launching our Product Ads performance advertising marketplace in late 2018, we have quickly grown to over 10,000 active advertisers and generate 150 million daily ad impressions within just five months. Our team is responsible for promoting brands and products on our e-commerce platform. To give you a sense of its value, both Alibaba and Amazon earn more revenue from advertising than from product sales. This opportunity allows you to be part of a burgeoning development organization with immense revenue potential within a successful company. We are establishing full-stack engineering teams to tackle large-scale advertising challenges, including real-time behavioral targeting, auctioning and bidding systems, and search-based advertising. As we transition from growth to enterprise processes, you will play a pivotal role in shaping the future of our organization. In this role, you will be responsible for innovating and building our new ad quality stack for our advertising platform and will eventually extend it into other areas.

About Contextual AI At Contextual AI, we are transforming the landscape of artificial intelligence by addressing one of its most significant challenges: context. By providing the right context at the right moment, we unlock the precision and scalability that enterprises need to harness AI effectively. Our innovative enterprise AI development platform seamlessly bridges cutting-edge AI research with practical developer requirements, enabling AI developers to efficiently ingest and query documents from various enterprise data sources and integrate retrieval results into their business workflows. Founded by the trailblazers of Retrieval-Augmented Generation (RAG), we are not merely participants in the enterprise AI revolution; we are its pioneers. Supported by visionary venture capitalists, we are committed to building a future where AI does more than just answer questions—it revolutionizes businesses.

Join Moveworks as a Principal Machine Learning Engineer, where you will play a pivotal role in enhancing our GAI search relevance and ranking systems. In this dynamic position, you will lead a talented team of engineers and data scientists to develop cutting-edge machine learning algorithms that improve user interactions and search outcomes. Your expertise will drive innovation and reinforce our commitment to delivering exceptional solutions.

Waymo is a pioneering autonomous driving technology company dedicated to creating the world’s most reliable driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has worked tirelessly to develop the Waymo Driver—The World’s Most Experienced Driver™—enhancing mobility access and aiming to reduce traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and use cases. With over ten million rider-only trips completed, our technology has autonomously traveled over 100 million miles on public roads and tens of billions in simulations across more than 15 U.S. states.As part of the Business Systems team, you will help define and construct the IT architecture that underpins Waymo's commercial operations. This team operates at the nexus of finance, operations, and IT, ensuring that Waymo maintains top-tier capabilities across all business processes through innovative architecture and meticulous attention to detail.This is a hybrid role where you will report to a Senior Manager of Finance, Indirect Procurement & HR Systems.Your Responsibilities Include:System Ownership & Strategy: Serve as a subject matter expert in SAP FICO modules, BRIM, RAR, Group Reporting, and Planning/Consolidation modules, driving the strategic roadmap and ongoing improvements of these systems.Requirements Gathering & Analysis: Collaborate with Finance, Accounting, and other cross-functional stakeholders to elicit, analyze, validate, and document comprehensive business requirements, including user stories, process flows, and functional specifications.Solution Design & Configuration: Design, configure, test, and deploy robust SAP solutions, ensuring compliance with industry best practices, regulatory requirements (e.g., IFRS 15/ASC 606), and internal controls.Project Leadership: Oversee and manage the full implementation and enhancement of projects, including planning, resource allocation, risk management, and coordination with development, QA, and external partners.Data Integrity & Reporting: Guarantee the integrity of financial data across systems and collaborate with business intelligence teams to produce precise and actionable financial reports.Support & Training: Provide tier 3 operational support, troubleshoot complex system issues, and create comprehensive training materials for end-users.

Who We AreNuro is at the forefront of self-driving technology, dedicated to democratizing access to autonomy. Established in 2016, our mission is to create the world's most scalable self-driving system by integrating advanced AI with automotive-grade hardware. We license our flagship technology, the Nuro Driver™, across various applications including robotaxis, commercial fleets, and personal vehicles. With years of proven success in self-driving deployments, Nuro paves the way for automakers and mobility platforms to achieve commercial-scale autonomous vehicles, contributing to a safer, more connected future.About the RoleWe are seeking an innovative Autonomy Leader to spearhead the technical roadmap for the systems that validate and verify the intelligence of the Nuro Driver. You will lead the creation of evaluation tools that ensure our technology can scale safely to millions of users. This role involves addressing real-world robotics challenges and enhancing everyday lives by bridging the divide between simulation and reality.Intelligent Agents: Design and implement advanced evaluation agents that simulate complex interactions.Intelligent Metrics: Develop sophisticated algorithms to measure the cognitive performance of the machine learning models that govern our self-driving car's behavior, leveraging physics-based modeling and machine learning.Close the Learning Loop: Utilize these evaluation frameworks to pinpoint specific behavioral weaknesses in the Nuro Driver, leading technical execution to enhance the agent's decision-making logic.Define the Technical Architecture: Collaborate with Autonomy and Infrastructure engineers to establish a cohesive roadmap that integrates evaluation frameworks, progressing towards automated, data-driven validation.

About Us:Aeva is at the forefront of innovation, dedicated to advancing perception technology across various sectors including automated driving, industrial robotics, consumer electronics, health, and security. Our pioneering approach integrates key LiDAR components into a compact silicon photonics module, redefining autonomy. With our 4D LiDAR sensors, we enable devices to not only ascertain 3D positioning but also instant velocity, empowering vehicles and robots to make smarter, safer decisions.Role Overview:We are seeking a skilled Module Engineering Program Manager to spearhead intricate technical development initiatives. The ideal candidate will have a proven track record in managing build and test activities, as well as fostering vendor relationships to ensure timely delivery of high-quality products. A deep understanding of high-volume manufacturing processes is essential, as is the ability to coordinate product releases to meet critical company milestones.

Role Overview Unity Technologies is advancing mobile gaming with AI-driven features. The Principal Machine Learning Engineer will focus on deploying advanced AI models, such as transformers and diffusion networks, directly onto mobile devices. This position shapes how Unity brings state-of-the-art multi-modal models from research into real-world mobile applications. What You Will Do Technical Leadership: Set the vision for deploying multi-modal AI models on iOS and Android, drawing on deep experience with transformers, diffusion models, and generative architectures. Make key decisions on model optimization strategies, including compression, quantization, and knowledge distillation to address mobile device constraints. Assess and select inference runtimes (such as CoreML, ONNX Runtime Mobile, TFLite) to improve team capabilities and deployment outcomes. Oversee the entire optimization pipeline, from model export through hardware-specific kernel tuning across different processing units. Architecture & Research Translation: Work closely with research scientists to convert innovative model architectures into operational, mobile-optimized systems. Design scalable systems capable of processing varied inputs, images, text, metadata, while ensuring real-time output performance. Develop new approaches for dynamic resolution and token reduction tailored for mobile environments. Monitor and incorporate advancements in efficient AI technologies to keep Unity’s mobile AI stack current. Team Leadership & Mentorship: Guide and mentor machine learning engineers, establishing best practices for on-device performance evaluation. Collaborate with cross-functional teams to ensure AI capabilities align with product roadmaps and device requirements. Promote a culture centered on performance measurement, defining and tracking key metrics for efficiency and accuracy. Location Mountain View, CA, USA

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world’s most trusted driver. Originating from the Google Self-Driving Car Project initiated in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable across various vehicle platforms and use cases. With over ten million rider-only trips completed, our technology has driven more than 100 million miles on public roads and simulated billions of miles across 15+ U.S. states.The Perception team is responsible for building systems that learn spatial-temporal representations and their semantic meanings in the environment surrounding an autonomously driving vehicle (ADV). We collaborate closely with downstream teams to optimize and integrate these systems into the Waymo Driver. Our research addresses real-world challenges, leveraging access to extensive driving data from diverse sensors. This empowers our engineers to develop efficient methods for continuous learning from large-scale real-world data, create scalable models, analyze real-world behaviors, and optimize systems for our onboard and offboard hardware.In this hybrid role, you will report directly to a Technical Lead Manager.

MissionAt Databricks, our core mission is to streamline and democratize data and artificial intelligence, empowering organizations to address some of the most significant challenges globally. In the role of Senior Product Designer specializing in AI/BI experiences, you will be tasked with transforming advanced analytics, generative AI, and business intelligence into accessible, reliable, and actionable tools for users of all technical backgrounds.As a Senior Product Designer, your responsibilities will extend beyond merely crafting dashboards or workflow designs. You will shape the synergy between human intuition and AI capabilities.Your role will involve defining how users can interact with their data in straightforward language and receive trustworthy insights. You will influence how insights are generated, interpreted, disputed, and disseminated, bridging the gap between intricate AI systems and human decision-making. Collaborating closely with our product and engineering teams based in Seattle will be essential.

Staff Backend Engineer, Integrations Platform Location: Mountain View, CA About Us At CloudKitchens and Otter, we are pioneering the future of the food industry by creating an integrated

About Us At Otter, we are revolutionizing the digital landscape for the food industry. As off-premise dining continues to surge, we equip restaurants with the essential tools to thrive amidst this complexity. Our mission is to help culinary operators simplify their processes, expand their reach, and provide memorable dining experiences for guests, no matter where they may be. Otter's platform serves food businesses of every scale, from beloved local eateries to expansive global chains. With our support, restaurants can concentrate on their passion: delivering delightful meals to their patrons. As they prosper, we are committed to making quality food more accessible, trustworthy, and affordable for all. Your Role As the Group Product Manager for our System of Record, you will spearhead the development of the definitive digital framework for the food industry. Your leadership will ensure the creation of the most comprehensive, precise, and timely source of information and workflows that empower restaurants and their partners. In this role, you will: Oversee and enhance the System of Record that governs vital restaurant entities such as Orders, Storefronts, and Menus. Develop platform features that facilitate smooth integrations with delivery platforms, POS systems, and various restaurant technology providers. Establish core data models, lifecycle processes, and business logic to guarantee accuracy, dependability, and uniformity within Otter’s ecosystem. Create developer-friendly tools – including APIs, SDKs, and integration monitoring – to ensure that both internal and external contributors can easily and securely build on the platform. Collaborate with engineering, design, operations, and go-to-market teams to deliver scalable and reliable solutions that meet the needs of both customer-facing products and internal workflows. Guide and mentor a team of Product Managers, setting clear objectives, fostering professional growth, and enhancing product excellence throughout the organization. Qualifications 8+ years of experience in product management, including a minimum of 3 years in a leadership role overseeing and developing Product Managers. A successful history of building and scaling platform or data products that demonstrate measurable reliability and significant business impact. A robust technical understanding of APIs, integrations, and data modeling; experience with data-intensive products or enterprise platforms is advantageous. A data-driven decision-maker with proficiency in SQL and analytical tools. Exceptional communication skills, able to clearly convey complex technical concepts to executives, engineers, and partners alike. Experience in restaurant technology and commerce is a plus.

Logos Space develops a Low Earth Orbit satellite network that delivers high-performance connectivity for commercial and government clients worldwide. The company focuses on speed and reliability, linking cloud and data center infrastructure to fixed, maritime, and airborne terminals. Its leadership team brings extensive experience in networking and satellite technology. Role overview The Lead Product Manager for Customer Engagement & Revenue Operations Systems shapes the strategy and design of platforms that support the entire customer lifecycle. These systems enable capacity planning, reservations, and revenue operations for satellite connectivity services. What you will do Define and drive the vision for customer engagement, capacity management, and revenue operations systems Gather customer needs and translate them into system requirements and product specifications Balance customer insights with engineering strengths, vendor offerings, and financial goals to build systems that meet business needs Decide when to build or buy key systems, then lead the execution of those strategies Clarify ambiguous requirements and proactively collect data to inform product decisions and roadmaps Ensure alignment from service design through implementation, working closely with development teams Who thrives in this role Product leaders who enjoy solving complex technical challenges and bringing clarity to ambiguity People skilled at connecting customer requirements to actionable product plans Those energized by collaborating with cross-functional teams to deliver impactful systems and services Location: Mountain View or San Diego

We are seeking a passionate and organized Training Coordinator to join our dynamic team. In this role, you will be responsible for coordinating training programs for our employees, ensuring that they have the necessary skills and knowledge to excel in their positions. You will work closely with various departments to identify training needs and develop effective training strategies. Your organizational skills and attention to detail will be vital to our success.

Join our innovative team at LTA Research and Exploration, an aerospace start-up dedicated to transforming the future of aviation with revolutionary airships. We are currently looking for a skilled A&P Mechanic to engage in systems integration for our cutting-edge research and development flight vehicles. This 6-month contract role involves collaborating closely with our talented personnel to effectively organize, plan, and execute the integration of various subsystems. Additionally, you will provide vital flight operational support as required, contributing to the advancement of our groundbreaking projects.

Logos Space is pioneering a Low Earth Orbit (LEO) satellite system, specifically designed to meet the connectivity demands of commercial enterprises and government entities. Our mission is to bridge a vital gap in the market by delivering resilient and high-performance satellite-based connectivity solutions to our clients globally. With established contracts that define performance standards for broadband, Logos Space is committed to embedding these capabilities into our systems from the outset. Speed and reliability are the cornerstones of our operations, aiming to extend cloud and data center connectivity to fixed, seaborne, and airborne terminals across the globe.Our team comprises seasoned engineers with extensive experience in the networking and satellite sectors, ensuring that we are at the forefront of innovation in satellite technology.Position OverviewWe are in search of a dynamic and experienced Production Manufacturing Lead to oversee the manufacturing execution of our state-of-the-art Low Earth Orbit (LEO) satellite payload and ground terminal systems. This pivotal role involves ensuring that all production processes, documentation, and workflows are optimized for cost-effective, high-volume manufacturing at our external Contract Manufacturers (CMs). The successful candidate will be responsible for managing the transition of intricate electrical systems—including power, networking, RF, baseband processing, and phased array antenna systems—from design to full-scale production. Additionally, this role requires close collaboration with external satellite bus partners to guarantee the smooth integration of payload systems into the final satellite vehicles.Ideal candidates will thrive in a fast-paced environment, demonstrating comfort in transforming ambiguous requirements into actionable steps aligned with the Logos product mission. We seek individuals passionate about solving complex challenges, possessing a strong bias for action, and exhibiting extreme ownership of their tasks.