Waymo LLCSan Francisco, CA,US; Mountain View, CA, US
On-site Full-time
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Experience
Qualifications
The ideal candidate will have a strong background in systems engineering and technical project management. A Bachelor's Degree in Engineering or a related field is required, along with proven experience in leading complex projects. You should possess excellent communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders. Experience in the automotive or technology sector is a plus, as well as familiarity with agile methodologies. Strong problem-solving abilities and a passion for innovation are essential to thrive in this fast-paced environment.
About the job
Join Waymo as a Technical Program Manager in Systems Engineering, where you'll lead cross-functional teams to drive innovative projects in autonomous vehicle technology. Your expertise in project management and systems engineering will be pivotal in ensuring our engineering programs are executed on time and within scope.
As a key member of our team, you will facilitate collaboration between engineering, product management, and operations to deliver cutting-edge solutions aimed at revolutionizing transportation. Your role involves defining project scopes, managing timelines, and ensuring adherence to budget constraints, all while maintaining a high standard of quality.
About Waymo LLC
Waymo LLC is at the forefront of autonomous driving technology, committed to making transportation safer and more accessible. As a subsidiary of Alphabet Inc., we are leveraging cutting-edge technology to create self-driving cars that aim to improve mobility for everyone. Join us and be part of a mission that is transforming the future of transportation.
Join Humble Robotics, where innovation meets the future of transportation. We are on a mission to revolutionize ground logistics with our autonomous, zero-emissions hauler that leverages cutting-edge vision-based AI technology. Our solution not only enhances efficiency but also significantly reduces freight costs, making it ideal for today's global logistics…
About Humble RoboticsAt Humble Robotics, we are pioneering a transformative shift in ground transportation. We are developing an autonomous, zero-emissions hauler that significantly reduces freight costs through innovative vision-based AI, tailored for the modern global logistics network. Join our dynamic and close-knit team of industry veterans and creative thinkers. We believe that a strong culture cannot be engineered, but when it comes together, it creates an extraordinary adventure. Progress has never felt so imminent. Position OverviewTake ownership of system-level requirements and architecture for our autonomous vehicle platform. You will translate product and safety objectives into clear, testable requirements across various domains, including computing, networking, sensors, telematics, and power distribution. You will also lead design reviews and validation processes to ensure end-to-end compliance with these requirements.
Full-time|On-site|San Francisco, CA,US; Mountain View, CA, US
Join Waymo as a Technical Program Manager in Systems Engineering, where you'll lead cross-functional teams to drive innovative projects in autonomous vehicle technology. Your expertise in project management and systems engineering will be pivotal in ensuring our engineering programs are executed on time and within scope.As a key member of our team, you will facilitate collaboration between engineering, product management, and operations to deliver cutting-edge solutions aimed at revolutionizing transportation. Your role involves defining project scopes, managing timelines, and ensuring adherence to budget constraints, all while maintaining a high standard of quality.
AeroVect is seeking a skilled Vehicle Integration Engineer with expertise in mechatronics and robotics to oversee the mechanical and electrical dimensions of our innovative autonomous vehicle demonstrator platform. In this pivotal role, you'll be responsible for developing vehicle sensing and actuation hardware in a dynamic startup environment.We are looking for a proactive individual who embraces challenges and is prepared to manage all stages of the development lifecycle, from desktop engineering design and simulation to hands-on automotive integration and root-cause analysis. You will play a crucial role in ensuring the safety-critical design, implementation, and reliability of our ground vehicle hardware, aimed at automating cargo and baggage movement in some of the busiest airports globally.This position offers a unique opportunity for a technically adept engineer to contribute to a cutting-edge product that merges autonomous vehicle technology with a SaaS business model. You will collaborate closely with our co-founders.
Full-time|On-site|Mountain View, CA, USA; San Francisco, CA, USA
Waymo is hiring a Staff Machine Learning Engineer to focus on Vehicle Compliance Reasoning. This role is based in Mountain View, CA or San Francisco, CA. Role overview This position centers on advancing how autonomous vehicles interpret and meet regulatory and operational standards. The work involves both technical leadership and direct development to enhance the reasoning capabilities of Waymo’s self-driving systems. What you will do Use machine learning techniques to help autonomous vehicles better understand and follow regulations and operational guidelines. Partner with other engineers to design and build solutions for complex, real-world driving scenarios. Support the safety and reliability of Waymo’s autonomous driving technology through both leadership and hands-on work. Team environment Join a group of engineers committed to improving the performance and compliance of autonomous vehicles across a range of environments.
Full-time|$196K/yr - $242K/yr|Hybrid|Mountain View, CA, USA; San Francisco, CA, USA
Waymo, a leader in autonomous driving technology, is dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we have developed the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. Our technology has successfully completed over ten million rider-only trips, thanks to our extensive experience of autonomously navigating more than 100 million miles on public roads and executing tens of billions of miles in simulation across 15+ U.S. states.The Hardware Engineering team at Waymo is a dynamic and collaborative group of electrical, mechanical, reliability, software, and vehicle engineers. We design, construct, and refine the essential components that serve as the sensory systems for Waymo's autonomous driving technology, integrating these innovations into various vehicle platforms. We’re on the lookout for inquisitive and skilled individuals to help propel us forward.This position operates under a hybrid work schedule and reports to the Systems Engineering Manager.
Role overview OpenAI seeks a Systems Engineer to work directly with network, storage, and systems infrastructure. This position involves hands-on support for the core technology stack, ensuring that essential systems remain performant and reliable. Daily work centers on maintaining and improving the backbone that supports OpenAI's operations. The role addresses both immediate technical issues and ongoing infrastructure needs. Key focus areas Manage and optimize network, storage, and systems components Support the stability and efficiency of core infrastructure Troubleshoot and resolve issues impacting system performance Location This position is based in San Francisco.
Full-time|$250.8K/yr - $318.6K/yr|Hybrid|Mountain View, CA, USA; San Francisco, CA, USA; New York City, NY, USA
About Waymo Waymo develops autonomous driving technology with the goal of making transportation safer and more accessible. Originally launched in 2009 as the Google Self-Driving Car Project, Waymo has logged over 100 million autonomous miles and completed more than ten million rider-only trips. The company focuses on building the Waymo Driver to support safe, efficient travel across a range of vehicle platforms. Team Overview: Prediction & Planning - System Architecture The Predictive Planning (PrePlan) team builds machine learning systems that help the Waymo Driver anticipate possible scenarios and plan actions accordingly. By transforming large-scale driving data into robust deep neural networks, the team enables vehicles to navigate complex, real-world environments with confidence. The system architecture group ensures these models work smoothly within Waymo's technology stack. This includes attention to kinematics, interfaces, and data representations. The team works across projects involving data pipelines, model integration, evaluation metrics, and the planner systems that guide autonomous vehicles. Role Details Title: Staff Machine Learning Engineer, Prediction & Planning - System Architecture Location: Mountain View, CA; San Francisco, CA; New York City, NY (hybrid) Reports to: Technical Lead Manager
Join Cloudflare as a Principal Systems Engineer, Data, where you will lead innovative projects that enhance our data processing capabilities. You will work collaboratively with cross-functional teams to design, implement, and optimize systems that efficiently handle large-scale data. This role requires a deep understanding of systems engineering principles, strong analytical skills, and a passion for leveraging data to drive decisions. Your contributions will be pivotal in shaping the future of our data infrastructure.
Join the City and County of San Francisco as a Principal Information Systems Engineer specializing in Systems! In this pivotal role, you will lead the development and implementation of advanced information systems, ensuring the highest levels of performance and security. Collaborate with various departments citywide to deliver innovative solutions that enhance operational efficiency and foster public service excellence.
Join Lyft's cutting-edge team as a Senior Software Engineer focused on Autonomous Vehicle technology. You will play a pivotal role in developing software solutions that enhance the safety and efficiency of our autonomous fleet. Your work will directly impact the future of transportation, making it safer and more accessible for all.
Full-time|$159.8K/yr - $235K/yr|On-site|San Francisco, CA; Oakland, CA
Join DoorDash Labs as a Senior Systems Engineer, where you will play a pivotal role in designing and integrating our advanced delivery platforms. You will define precise system requirements and interfaces that unite our hardware, software, and operational teams into a cohesive, reliable system. Your expertise will help translate high-level business objectives into actionable engineering specifications, ensuring our delivery solutions meet rigorous performance, safety, and regulatory standards. We are looking for a candidate with a strong background in complex system development, particularly in aerospace, autonomous vehicles, or similar safety-critical fields. You will thrive in a collaborative, fast-paced environment, leveraging your systems-level thinking to drive impactful results.
At Inngest, our Systems Engineers are the architects behind the backbone of our platform, crafting a robust execution layer, an efficient queueing system, and scalable state stores that interlink seamlessly. This role presents an exciting opportunity to tackle complex technical challenges while deriving immense satisfaction from your contributions.About Us: Inngest is pioneering innovative solutions to long-standing challenges faced by developers. Our mission is to create first-of-its-kind tools that enhance the daily workflow of developers, prioritizing user experience and performance. A strong product-centric mindset and a passion for developer tools are essential for success in this role.The Role: A successful Systems Engineer at Inngest must possess a blend of generalist and specialist skills. You will collaborate with our team to enhance the functionality of our queueing system (including debounce and concurrency mechanisms), manage vast amounts of data in our state store, and refine the API layers that facilitate user interactions. Your work will have a direct impact on millions of developers, and you will engage closely with designers, engineers, and founders to optimize user experience.Note: This position requires overlapping working hours with US PST. While residing in the San Francisco Bay Area is preferred, exceptional candidates from anywhere in the United States will be considered. Our engineering team operates in-person several days a week in San Francisco.
Full-time|$139K/yr - $204K/yr|On-site|Livingston, NJ / New York, NY / Sunnyvale, CA / San Francisco, CA / Bellevue, WA
CoreWeave is The Essential Cloud for AI™. Designed by innovators for innovators, CoreWeave provides a robust platform of advanced technology and exceptional teams, empowering organizations to confidently build and scale AI solutions. As a trusted partner for leading AI labs, startups, and global enterprises, CoreWeave integrates unmatched infrastructure performance with extensive technical expertise, driving innovation and transforming compute capabilities into actionable results. Since its inception in 2017, CoreWeave has rapidly advanced, becoming a publicly traded company (Nasdaq: CRWV) in March 2025. Explore more at www.coreweave.com.What You’ll Do:Description of the TeamThe IT Business Systems (GTM) team at CoreWeave is responsible for the application stack that facilitates the entire customer journey—from lead generation to quoting and cash collection. This team designs and manages systems that underpin a rapidly growing AI cloud business, collaborating closely with Revenue Operations, Marketing Operations, Finance, Billing, and Customer Experience to deliver scalable, compliant, and automated workflows.About the role:As a Senior Salesforce Engineer, you will take on a pivotal role as a hands-on technical leader, tasked with designing, building, and operating Salesforce solutions across Sales Cloud, Revenue Cloud/CPQ, and GTM integrations. You will tackle high-impact projects including post-acquisition system integrations, the implementation of a new usage-based billing platform, and enhancements within quoting, forecasting, and revenue operations. This role demands deep expertise in CPQ workflows while also overseeing broader platform architecture and integrations with finance and GTM systems. You will work cross-functionally with GTM, Finance, and IT leadership to create scalable, dependable solutions that position CoreWeave for continued success.
Join our innovative team at Mindlance as a Systems Engineer. In this role, you will leverage your expertise in systems architecture and design to create cutting-edge solutions that drive our technology forward. You will work closely with cross-functional teams to ensure system reliability, scalability, and performance.
About Our TeamAt OpenAI, we are dedicated to ensuring our innovative products are effectively monetized to meet the diverse needs of our customers. Our Financial Engineering team works closely with the Go-To-Market (GTM) and Finance departments to continuously adapt our billing architecture to align with our dynamic internal requirements.About the OpportunityWe are seeking a talented Engineering Manager to oversee and enhance the workflows that drive quoting, tracking, and fulfillment for all OpenAI sales. This role is pivotal in developing essential billing and invoicing capabilities while collaborating on customer-facing billing experiences to uphold financial integrity, ensure auditability, and provide a seamless onboarding and billing journey for enterprise clients.Key Responsibilities:Lead and mentor a team of engineers focused on automating order management, prioritizing reliability, accuracy, and a positive customer onboarding experience.Own the design and roadmap for order data flows into various downstream systems, including internal provisioning, billing, invoicing, and revenue management.Create and maintain resilient workflows that automate entitlements, provisioning, usage controls, SKU attribution, invoice generation, and revenue recognition—streamlining processes while maximizing accuracy and traceability.Enhance the accuracy and timeliness of provisioning, billing, and invoicing through automation, validation, and reconciliation, reducing manual intervention.Establish robust operational practices (observability, alerting, runbooks, on-call) to ensure system health with minimal human oversight.Collaborate extensively with Sales Operations, Finance, Accounting, Support, Product, Security, and Compliance teams to translate complex requirements into resilient, auditable workflows.Navigate ambiguous problem spaces and evolving product offerings, creating scalable frameworks and abstractions as OpenAI's commercial footprint grows.Uphold high engineering standards through technical direction, design reviews, mentoring, and fostering a culture of ownership and continuous improvement.Exhibit strong leadership by mentoring engineers, recruiting and retaining top talent, managing stakeholder expectations, and balancing customer needs with deliverable realities.You Will Excel in This Role If You:Possess a passion for leading engineering teams and driving process improvements.Have a proven track record of managing complex engineering projects and fostering collaboration across diverse teams.Enjoy tackling challenges with innovative solutions while maintaining a customer-centric approach.
Full-time|$196K/yr - $248K/yr|Hybrid|Mountain View, CA, US;San Francisco, CA, US
Waymo is at the forefront of autonomous driving technology, aspiring to become the most trusted driver globally. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver – recognized as The World’s Most Experienced Driver™. Our mission is to enhance mobility access and significantly reduce the number of lives lost in traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hailing service, having completed over ten million rider-only trips, with more than 100 million miles driven autonomously on public roads and tens of billions simulated across 15+ U.S. states.Our Systems Engineering team is a dynamic group that integrates software and hardware systems in innovative ways. We set the highest performance standards to ensure our vehicles operate seamlessly and prioritize passenger safety. We are in search of passionate individuals who excel in teamwork and are driven to achieve impactful results.This position follows a hybrid work model, reporting to a Systems Engineering Manager.
Join the dynamic team at the City and County of San Francisco as a Senior Information Systems Engineer specializing in Systems. In this pivotal role, you will leverage your expertise to enhance our technological infrastructure across multiple city departments, driving efficiency and innovation.Your responsibilities will include designing, implementing, and maintaining complex information systems while ensuring optimal performance and security. You will collaborate with diverse teams to identify system requirements and develop solutions that meet the needs of our community.
Full-time|$180K/yr - $225K/yr|On-site|United States
Airbnb connects millions of hosts and guests, offering stays and experiences in locations around the world. Since 2007, the company has helped over 2 billion guest arrivals discover new places and cultures. Role Overview The BizTech team at Airbnb is hiring a Staff Systems Engineer focused on Oracle EPM Planning systems. This role plays a key part in supporting the Finance team, acting as the technical architect and primary developer for the EPM environment. Main Responsibilities Design and develop scalable Oracle EPM solutions for Finance Budgeting and Forecasting. Build and refine financial forecasting models. Drive process improvements using AI technologies. Integrate EPM with data warehouse systems. Translate complex business requirements into technical solutions within Oracle EPM.
About Our Team:Join the innovative Database Systems team at OpenAI, where we specialize in high-performance distributed databases. We are the architects behind Rockset, a cutting-edge real-time search, analytics, and vector database that powers all vector search and retrieval augmented generation (RAG) at OpenAI. Rockset underpins core functionalities across all OpenAI product lines and supports various critical internal applications.About the Role:We are in search of engineers who are passionate about distributed systems, performance optimization at a low level (with our core engine developed in C++), and constructing scalable database infrastructures from scratch. As a member of the Database Systems team, you will play a key role in enhancing the core database engine, making significant contributions to ingestion, query execution, indexing, and storage improvements. You will collaborate with multiple teams across OpenAI to unlock new product capabilities and ensure the reliability and scalability of our online database as usage expands exponentially.Your Responsibilities Will Include:Design, develop, and maintain high-performance distributed systems.Identify and address performance bottlenecks to elevate infrastructure capabilities.Define and guide the long-term technical vision and evolution of the system.Collaborate with product, engineering, and research teams to deliver robust and scalable infrastructure.Investigate complex production issues across the entire technology stack.Contribute to incident response, retrospective analyses, and establishing best practices for system reliability.You Will Excel In This Role If You:Possess substantial experience in building, scaling, and optimizing distributed systems.Exhibit a keen interest in database internals, storage engines, or low-latency query systems.Enjoy tackling complex performance challenges in high-throughput systems.Have experience managing and operating production clusters at scale (e.g., Kubernetes or similar orchestration tools).Approach scalability, correctness, and reliability with a rigorous mindset.Thrive in a fast-paced environment where you can make a significant impact.Qualifications:4+ years of relevant industry experience with a focus on distributed systems.Proficiency in C++ or similar low-level programming languages.Strong problem-solving skills and attention to detail.Experience with performance monitoring and optimization tools.Excellent collaboration and communication skills.