Full Stack Engineer for Innovative Robot Fleet Management

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…

Role Overview:As the Senior Technical Lead Manager for the Core Platform team at Moveworks, you’ll spearhead the development of our foundational platforms. In this fast-paced environment, your team will be essential in designing and managing robust platforms and frameworks that empower various products and engineering teams to deliver customer-facing solutions swiftly. We're focused on rapid problem-solving, tackling complex engineering challenges, and maximizing value for our clients.In this pivotal role, you will collaborate closely with teams specializing in machine learning, search, product development, data analysis, and full-stack engineering. Your mission will be to identify, define, and implement innovative solutions, contributing significantly to the success of the fastest-growing AI startup in the industry.Lead the evolution of core platform building blocks and frameworks, prioritizing developer productivity, reliability, scalability, performance, and security.Engage with machine learning, search, product, data, and frontend teams to understand their platform requirements, influence the roadmap, and execute various projects.Architect and develop core platforms including content ingestion, crawler framework, permissions enforcement, identity management, and content retrieval systems.Establish methodologies and metrics to assess the performance of core services, identify bottlenecks, and enhance the overall performance and scalability of Moveworks’ technology stack.Recruit and mentor engineers, promoting a culture of technical excellence, collaboration, and continuous improvement.

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.

About CyngnLocated in the heart of Mountain View, CA, Cyngn is an innovative publicly-traded company specializing in autonomous technology. We deploy cutting-edge self-driving industrial vehicles, such as forklifts and tuggers, across factories, warehouses, and various facilities throughout North America. As we pioneer this transformative technology, we are in search of dynamic, forward-thinking leaders to help us drive this industry forward. If you are passionate about building, innovating, and collaborating with a team of dedicated professionals, Cyngn is the ideal place for you.A Unique Work Environment.With a team of under 100 employees, Cyngn operates with the agility of a startup while being a publicly traded company. This unique combination offers our employees not only the chance to work closely with experienced leaders but also the opportunity to benefit from the liquidity of our publicly-traded equity.Impactful Work.Our autonomous vehicles are not just theoretical concepts; they are actively deployed with real clients today. Your contributions will result in tangible impacts within the industry.A Collaborative Culture.At Cyngn, we pride ourselves on fostering a diverse and inclusive team comprised of intelligent thinkers and compassionate individuals. Our creative environment is driven by collaboration and trust, where every team member’s viewpoint is valued, promoting innovation.About This Role:As the Senior DevOps Lead at Cyngn, you will be pivotal in architecting and overseeing infrastructure for our cloud and autonomous vehicle systems. This role merges foundational cloud DevOps leadership with specialized knowledge in robotics and autonomous systems infrastructure. You will connect cloud operations with edge computing while guiding a team of DevOps engineers to develop and maintain a scalable, reliable infrastructure for our autonomous vehicle platform.

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 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.