Staff Software Engineer, Menu & POS Platform at Otter | Mountain View, CA

Who We Are At Otter, we are passionate about transforming the restaurant industry through innovative technology. As a leader in online food delivery solutions, we empower restaurateurs to thrive in a digital landscape. Our commitment to enhancing the dining experience has earned the trust of thousands of restaurants globally, including renowned brands like C…

The RoleAre you a talented software engineer eager to leverage your extensive experience in developing and enhancing production systems at the forefront of AI technology? If so, we invite you to consider our Staff Software Engineer position on the Natural Language Understanding team within our 'agent lab'. In this pivotal role, you will contribute significantly to our mission of extending the capabilities of AI agents to execute tasks reliably on a large scale.As part of the Moveworks AI Assistant platform, you will lead the innovation in areas such as agent orchestration, sandboxed file systems, latency optimization, agent memory, and the advancement of LLMs (Large Language Models). Our team thrives on rapidly developing scalable infrastructure and tackling complex product and engineering challenges to maximize value for our customers. If you aspire to achieve the pinnacle of your career while working with a passionate and impactful team, we would love to connect with you.What You Will Do:Lead and tackle challenging engineering projects to create and enhance dependable AI agent systems.Define and implement cutting-edge distributed systems, ensuring their scalability and production readiness, while integrating the latest advancements in machine learning and AI.Set technical direction and influence the engineering roadmap to deliver enduring value to our clients.Establish high standards for code quality, including robustness, extensibility, and performance.Collaborate with senior experts across various domains, including machine learning, security, product development, and customer success, to build world-class enterprise AI solutions.Mentor and develop team engineers, focusing on technical design, execution, and excellence.Work closely with machine learning engineers to define and develop end-to-end architecture for outstanding AI systems.

Waymo is a pioneering force in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo's mission focuses on creating the Waymo Driver—The World’s Most Experienced Driver™—with the goal of enhancing mobility access and significantly reducing traffic-related fatalities. The Waymo Driver is the backbone of our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and applications. With over ten million rider-only trips completed and the experience of driving autonomously for over 100 million miles on public roads, alongside tens of billions of miles in simulation across more than 15 U.S. states, we are committed to transforming the future of transportation.The Simulator Team at Waymo is at the forefront of innovation, developing advanced simulations that replicate realistic environments for the testing, training, and validation of the Waymo Driver. Our team comprises a diverse, collaborative group of machine learning (ML) engineers, software engineers, and ML research engineers, who are dedicated to crafting industry-leading simulation solutions. Utilizing cutting-edge generative and reconstructive ML algorithms, we model the real world, including realistic agents, road systems, traffic dynamics, weather conditions, and a comprehensive sensor suite (Camera, Lidar, Radar).In this exciting role, you will be instrumental in enhancing the fidelity, scalability, controllability, and richness of our simulations by exploring the latest advancements in 3D world modeling. By leveraging state-of-the-art ML technologies trained on extensive datasets, you will help us create dynamic, semantically rich virtual worlds that have a direct impact on the development and validation of the Waymo Driver.You will report directly to a Senior Staff Engineering Manager.Responsibilities:Lead the design, development, and deployment of innovative 4D world models and generative systems aimed at generating ultra-realistic and controllable sensor outputs and semantics for simulation applications at Waymo.Architect and implement scalable, robust ML pipelines for the training, evaluation, and deployment of large-scale generative models within our simulation framework, employing techniques like model distillation and quantization.Develop and scale production-ready video generation methodologies (e.g., Diffusion, Flow Matching) to create dynamic and interactive simulation environments.Utilize Vision Language Models (VLMs) to enhance semantic comprehension and control within our world simulation products.Collaborate with leading research teams across Waymo and Alphabet to integrate state-of-the-art research in 4D world modeling and generative AI into scalable, production-ready solutions.Provide mentorship and technical guidance to fellow engineers on the team.

At Reliable Robotics, we are pioneering safety-enhancing technology for the aviation industry, dedicated to saving lives. Our automated aviation systems aim to create a future where air transportation is not only safer but also more convenient, fundamentally transforming the movement of goods and eventually people across the globe. Our team comprises mission-driven engineers with extensive backgrounds in aerospace, robotics, and self-driving technologies, all working collaboratively to actualize this vision.As a Radar Systems Engineer, you will join our innovative Radar Engineering team, consisting of a small, dynamic group of skilled professionals. We are tasked with designing, building, and testing state-of-the-art phased array radar systems from concept through to certified product. Emphasizing a culture of knowledge sharing and teamwork, we strive to make advanced radar technology accessible for widespread commercial applications, particularly in Detect and Avoid systems. This role will focus on pioneering new operational modes that enhance aviation safety.Key ResponsibilitiesIn your capacity as a Radar Systems Engineer, you will analyze phased array radar systems and create radar processing algorithms that facilitate short and long-range object tracking as well as radar image generation. Your involvement will span all stages of development, from conceptualization to production, designing algorithms in Matlab and Python, with implementation in C++ on hardware platforms. You will define system-level requirements for the phased array radar system and conduct trade studies in collaboration with cross-functional teams. Additionally, you will assist in integrating the radar system onto aircraft and support data collection and analysis during flight testing. You will be responsible for real-time radar algorithm processing on FPGA and DSP-based platforms.QualificationsBachelor’s Degree in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a related field8+ years of hands-on experience in radar algorithms, radar system design, signal processing, and radar system integration and testingProficiency in C++, Matlab, and Python (preferably Python)Strong troubleshooting skills with the ability to identify root causes and resolve issues effectivelyExperience in pulsed and FMCW processing algorithm development

AECOM is seeking a dynamic and innovative Northern California Water and Wastewater Practice Leader to join our team immediately. This role will focus on the engineering design of treatment systems for municipal water, wastewater, and reuse projects. Candidates can work from our offices in Sacramento, San Francisco, or Oakland, providing ample opportunities for client engagement in Northern California.This technical and strategic leadership position is vital for enhancing AECOM’s water sector presence across a variety of municipal, state, and federal projects in Northern California. The ideal candidate will embody a seller/doer approach, integrating business development with technical expertise, project management, and mentorship of junior staff. You will collaborate with leading regional and national professionals to devise innovative solutions, thereby expanding our market presence in the water/wastewater arena.Key Responsibilities:Lead business development initiatives and nurture relationships with municipal clients.Collaborate with regional and national experts to deliver innovative solutions and identify new business opportunities.Direct proposal development alongside senior technical and marketing teams.Serve as Client Services Manager for select accounts.Oversee the management and delivery of complex water, wastewater, and reuse projects, including treatment facilities and storage systems.Manage project components like reports, hydraulic modeling, calculations, drawings, specifications, permitting, and construction-phase services.Conduct project management tasks, including scope, schedule, and budget development; team coordination; regulatory compliance; invoicing; and consultant oversight.Mentor junior team members and support their professional development, particularly in treatment design.Ensure the implementation of innovative, efficient, and sound design solutions.Create and enhance tools, processes, and standards to ensure design consistency and efficient delivery.

Logos Space is pioneering the next generation of Low Earth Orbit (LEO) satellite systems, specifically designed to meet the connectivity demands of commercial enterprises and government entities. Our mission is to bridge critical connectivity gaps in the market by delivering robust, high-performance satellite-based services globally. With contracts stipulating exact performance standards, Logos embeds these capabilities into our system from inception. Our foundation is built on speed and reliability, ensuring seamless cloud and data center connectivity for fixed, maritime, and aerial terminals.Our team comprises highly skilled engineers with extensive experience in the networking and satellite sectors, driving innovation and excellence.Position SummaryWe are seeking a Structural Analyst to join our Mechanical Engineering Team. This role is pivotal in advancing our spacecraft and payload component designs into mass production while ensuring optimal structural performance across their lifecycle. Success in this position will hinge on your strong analytical abilities, communication skills, and first-principles reasoning.Thriving in a fast-paced environment, you will navigate vague requirements and directions to execute on the Logos product mission. We value individuals who are passionate about solving complex problems, exhibit a proactive approach, and take ownership of their tasks.ResponsibilitiesConduct Structural Analysis (FEA, Hand Calculations) on components from initial sizing through testing.Translate design insights into Logos Payload Component and Bus Design to ensure component durability.Oversee vendor and third-party analysts to streamline work processes and maintain quality.Create a state-of-the-art spacecraft testing methodology and facility tailored for mass production.Lead vibration testing and qualification initiatives.Draft unit and spacecraft specifications for structural environments (ICDs).Develop analysis processes and tools for structural analysis to be utilized across the organization.Basic QualificationsBachelor's or Master's degree in Aerospace or Mechanical Engineering or a related field.US Person for compliance with EAR/ITAR regulations.A minimum of 5 years of experience as a structural analyst, preferably in spacecraft or aerospace.

Waymo is at the forefront of autonomous driving technology, with a vision to become the most trusted driver globally. Originating from the Google Self-Driving Car Project in 2009, Waymo has committed to developing the Waymo Driver—The World's Most Experienced Driver™. This innovation aims to enhance mobility access and significantly reduce the fatalities caused by traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and is versatile enough to be integrated across various vehicle platforms and applications. Having completed over ten million rider-only trips, the Waymo Driver has autonomously navigated more than 100 million miles on public roads and accumulated tens of billions of miles in simulation across over 15 states in the U.S.Our simulator is one of the most sophisticated virtual environments ever created, merging deterministic logic, physical dynamics, and cutting-edge Generative AI to serve as a training ground for the Waymo Driver. The Simulator Evaluation team confronts a profound data challenge: How do we mathematically verify that a virtual world is

At Logos Space, we are revolutionizing satellite communications with our Low Earth Orbit (LEO) satellite system, meticulously designed to meet the connectivity demands of both commercial enterprises and government entities. Our mission is to bridge critical gaps in the market by delivering robust and high-performance satellite-based connectivity solutions globally. With established contracts that define performance standards for broadband services, we integrate these capabilities into our systems from the outset, ensuring speed and reliability as our core principles. Logos aims to extend seamless cloud and data center network connectivity to fixed, maritime, and airborne terminals worldwide.Our team is composed of seasoned engineers with extensive experience in the networking and satellite domains, committed to fostering innovation and excellence.Position SummaryIn the role of Senior Mission Simulation Engineer, you will spearhead the design and upkeep of our constellation’s Digital Twin. Your expertise will enable the creation of highly accurate, user-friendly simulations that depict the intricate relationships between orbital dynamics, satellite hardware, and network architecture. Your contributions will be vital for all stakeholders—allowing visualization of constellation health, identification of network inefficiencies, and exploration of essential

Join our dynamic team at Betasoft Systems as a Mobile QA Automation Engineer. We are seeking an innovative and detail-oriented individual who is passionate about ensuring the highest quality standards in mobile applications. As part of our team, you will be responsible for developing automated tests, executing test plans, and collaborating closely with developers and product managers to enhance our mobile offerings.

Join Databricks as a Resident Solutions Architect, where you will be at the forefront of driving innovative solutions for our clients. In this role, you will leverage your extensive expertise to design and implement cutting-edge data solutions that empower organizations to harness the full potential of their data.Your responsibilities will include collaborating with cross-functional teams to understand client requirements, developing architectural frameworks, and delivering high-quality solutions that meet business needs. You will also play a critical role in educating clients on best practices and the effective use of our platform.

At Aeva, we are dedicated to pioneering the next generation of perception technologies that enhance a wide array of applications, including automated driving, industrial robotics, consumer electronics, consumer health, security, and much more. Our innovative 4D LiDAR sensors, which uniquely combine all crucial LiDAR components onto a silicon photonics chip within a compact module, empower autonomous devices—ranging from vehicles to robots—to detect instant velocity alongside 3D positioning, enabling smarter and safer decision-making.We invite you to become a part of our dynamic engineering team as a Photonics Layout and Design Automation Manager, where your expertise will drive the forefront of photonic design and automation methodologies.

Join rangeenergy as a Manufacturing and Industrialization Lead, where you will be pivotal in driving product development and process optimization. You will lead cross-functional teams, implement innovative manufacturing strategies, and enhance operational efficiency. Bring your expertise in industrial engineering and passion for sustainable solutions to our dynamic team.

Waymo, a leader in autonomous driving technology, aims to establish itself as the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. The Waymo Driver facilitates our fully autonomous ride-hailing service and can be adapted across various vehicle platforms and applications. With over ten million rides provided and backed by more than 100 million miles driven autonomously on public roads, along with extensive simulations across 15+ U.S. states, our technology is proven and scalable.As we embark on a journey of hyper-scaling, it is essential to enhance the productivity of our onboard engineers. This will empower our organization to rapidly adapt to new challenges and scale effectively.Your mission will be to create the infrastructure, architecture, tools, and platform needed to expedite development by recognizing and resolving the primary challenges faced by onboard engineers.In this hybrid role, you will report to a Staff Software Engineer / Tech Lead Manager.Your Responsibilities Include:Design and implement robust, scalable, and maintainable systems that cater to user requirements, including accelerating large-scale simulations, evaluations, and reinforcement-learning-based fine-tuning pipelines.Enhance and expand the simulation and evaluation platform to expedite the software development

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most reliable driver. Originating from the Google Self-Driving Car Project in 2009, Waymo's mission is to enhance mobility access and save countless lives lost to traffic accidents through our advanced Waymo Driver—The World’s Most Experienced Driver™. This technology supports our fully autonomous ride-hail service and can be integrated into various vehicle platforms and applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, our driver is backed by extensive simulation experience across 15+ U.S. states. Our simulator represents one of the most sophisticated virtual environments ever created, combining deterministic logic, physical dynamics, and cutting-edge Generative AI to serve as a training ground for the Waymo Driver. The Simulator Evaluation team is tasked with a pivotal question: How can we mathematically validate that a virtual world is truly

About ID.me ID.me provides a digital identity wallet that helps individuals securely verify their identity online. With a single verification, users can access multiple platforms without repeating the process. Over 152 million people use ID.me for login and identity checks across 20 federal agencies, 45 state governments, and more than 70 healthcare organizations. More than 600 brands also use ID.me to authenticate communities and user groups. The platform complies with federal authentication standards and is recognized as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me’s mission, "No Identity Left Behind," aims to make secure digital identity available to everyone. Learn more at https://network.id.me/. Role Overview ID.me seeks a Principal Technical Lead Manager (TLM) to lead engineering for Workforce Solutions in Mountain View, California. This team builds systems for employment verification, employer onboarding, and compliance integrations, helping millions of Americans prove employment and access benefits. The position sits within the Customer Domains organization and combines technical leadership with people management for a core B2B area. The Workforce team develops the platform that connects ID.me with enterprise HR systems, payroll providers, government agencies, and benefits administrators. This work enables employees to show job status, wage history, and benefit eligibility, making processes like mortgage applications, unemployment claims, and public benefits onboarding smoother. The role requires careful attention to privacy and compliance, working at the intersection of identity, HR technology, and regulatory requirements. As Principal TLM, responsibilities include shaping the technical architecture of the Workforce platform and supporting the engineering team’s growth and effectiveness. The role involves close collaboration with Product, Legal, Security, and enterprise partners to deliver on a roadmap that balances speed with compliance. Candidates should bring deep experience with backend systems, a strong track record of leading high-performing teams, and enthusiasm for building new solutions.

Waymo, a leader in autonomous driving technology, is on a mission to become the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo is dedicated to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and ultimately save lives lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable across various vehicle platforms and product applications, having successfully completed over ten million rider-only trips while autonomously navigating over 100 million miles on public roads and simulating tens of billions of miles across more than 15 U.S. states.Our Hardware Engineering team comprises a vibrant mix of electrical, mechanical, reliability, software, and vehicle engineers. We are responsible for designing, building, and refining the products that serve as the sensory systems for Waymo's autonomous driving technology, integrating these innovations into vehicle platforms. We are looking for innovative and talented individuals to join us on this exciting journey.The Embedded Simulation team is critical to Waymo’s rapid scaling of the Waymo Driver across new vehicle and hardware platforms, as well as accelerating the development of our embedded and reliability software systems. We create tailored test environments for embedded and hardware applications and incorporate our technology into comprehensive system behavioral simulations.In this role, you will report to the Senior Director of R&D Software Engineering.

Waymo is a pioneering autonomous driving technology company dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. The Waymo Driver supports our fully autonomous ride-hail service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips and extensive experience driving over 100 million miles on public roads and countless simulations, Waymo is at the forefront of the transportation revolution.Our Software Engineering team is the brain behind Waymo's fully autonomous driving technology. Our innovative software empowers the Waymo Driver to interpret its surroundings, make informed decisions, and ensure safe travel for passengers. We tackle intricate technical challenges in robotics, perception, decision-making, and deep learning, all while collaborating closely with hardware and systems engineers. If you are a passionate software engineer or researcher interested in Level 4 autonomous driving, we encourage you to connect with us.In this hybrid position, you will report directly to a Technical Lead Manager, Senior Staff Engineer.

Waymo is a trailblazer in autonomous driving technology, dedicated to becoming the most trusted driver in the world. Originating as the Google Self-Driving Car Project in 2009, our mission has been to develop the Waymo Driver—The World’s Most Experienced Driver™—which enhances mobility access and aims to save thousands of lives currently lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be integrated across various vehicle platforms and product applications. With over ten million rider-only trips, our technology has been validated through more than 100 million miles of autonomous driving on public roads and tens of billions in simulation across 15+ U.S. states.As a Technical Program Manager at Waymo, you will play a pivotal role in executing our roadmap by fostering effective cross-functional planning, ensuring clarity, and proactively managing risks. In a landscape filled with intricate technical and operational challenges lacking predefined solutions, you will act with a sense of urgency, driving critical conversations and outcomes. Collaborating closely with all functions at Waymo, you will structure, own, and propel the work necessary for real-world deployments of the Waymo Driver across platforms and regions.This position follows a hybrid work model and reports to a Technical Program Manager.

OverviewAt Google DeepMind, we believe that Artificial Intelligence has the potential to be one of humanity's most transformative innovations. Our dedicated team of scientists, engineers, and machine learning specialists collaborates to push the boundaries of AI, employing our technologies for the greater good and promoting scientific advancements while prioritizing safety and ethical considerations.About UsThe Agentic Red Team is a dynamic and specialized unit within Google DeepMind Security, tasked with addressing the 'Agentic Launch Gap'—a critical phase where new AI capabilities exceed conventional security assessments. Unlike traditional red teams that merely report findings, we work integratively with product teams, acting as both consultants and an agile exploitation team. Our unique approach allows us to join high-priority launches quickly, leveraging foundational protections from Google Core to concentrate on risks at the model and agent layer.Your RoleAs a Senior Security Engineer on the Agentic Red Team, you will spearhead our adversarial engagements, working closely alongside product developers to identify architectural vulnerabilities during the design phase—long before formal reviews take place.Your primary responsibility will be to execute sophisticated, multi-turn attacks on operational AI models, specifically targeting agentic behaviors such as tool utilization and reasoning chains. You will not only discover vulnerabilities but will also contribute to the development of 'Auto Red Teaming' frameworks and defensive methodologies, ensuring that your insights are transformed into reusable protections for Google agent developers.Key Responsibilities:Conduct Agile Red Teaming: Perform rapid, impactful security assessments on agentic services, focusing on vulnerabilities inherent to GenAI, including prompt injection and tool-use escalation.Design Advanced Exploits: Develop and execute intricate attack sequences that exploit non-deterministic model behaviors, logic errors, and data poisoning vulnerabilities.Create Automated Defenses: Write code that converts manual vulnerability findings into automated regression testing frameworks ('Auto Red Teaming') that safeguard against future model regressions.Integrate with Product Teams: Collaborate closely with developers during the design and implementation phases to provide immediate feedback, effectively reducing the time to identify and address security issues.

Join Waymo as a Senior CAD Designer, where you will play a crucial role in shaping the future of transportation. In this position, you will leverage your extensive experience in computer-aided design to create innovative solutions that contribute to the development of autonomous vehicles.