Staff Systems Engineer, BizTech

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 addres…

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 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.

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.

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.

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.

The City and County of San Francisco is seeking a dedicated and detail-oriented Journey Information Systems Engineer specializing in systems-related tasks. This full-time position offers a unique opportunity to collaborate across multiple departments citywide. You will play a vital role in enhancing the efficiency and quality of city services through innovative technology solutions.

About Us:Aurelius Systems is an innovative, VC-backed defense technology startup focused on developing autonomous robotics systems capable of utilizing directed energy for counter-unmanned aerial systems (UAS).Our mission is to create cutting-edge laser weapon systems designed to neutralize drones.Comprising a dedicated team of around 10 engineers, including former U.S. military operators and industry experts, we are committed to advancing America's directed energy capabilities with our reliable and robust laser weapon systems.Inspired by the principles of Marcus Aurelius, we adhere to a philosophy of relentless work ethic, much like Henry Ford's transformative approach to manufacturing. Our operational style emphasizes small teams delivering exceptional results without shying away from ambitious goals.With a lab and office in San Francisco and a manufacturing hub in Detroit, we conduct field tests weekly on our expansive, 400-acre private range.If you are an engineer who prefers practical applications of your work in real-world environments rather than confined lab settings, we invite you to continue reading.Your Role & Impact:As a Test Engineer, your primary responsibility will be to determine the functionality and performance of our systems across all layers. We are transitioning from prototype to production for an electromechanical directed energy system, and the test infrastructure you develop will serve as the cornerstone for our future products. You will be tasked with creating test benches from the ground up, ensuring they accurately simulate real-world conditions.You will lead the verification and validation processes for embedded firmware, power electronics, electromechanical assemblies, and full-system integration.Your work will directly influence every field test and demonstration, ensuring we arrive with a functional product.Your Responsibilities:Design and construct Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) test environments for embedded controllers, actuators, sensors, and power systems.Conduct performance, reliability, and safety testing at the system level, integrating hardware and firmware evaluations.Develop comprehensive test plans, acceptance criteria, and readiness gates as we progress from prototype to production.Write automated testing procedures in Python, creating your own regression suites without relying on external tooling.Oversee all aspects of field testing: setup, operation, data collection, teardown, post-test analysis, and documentation of failures.Debug across the entire stack of the system.

Join Anthropic as an IT Systems Engineer, where your expertise will help shape the future of AI safety and infrastructure. You will design and implement secure IT systems that empower our teams while ensuring adherence to best practices and innovative solutions. Collaborate with cross-functional teams to drive technical initiatives and mentor fellow engineers, all while contributing to our mission of creating interpretable and beneficial AI systems.

Join Cloudflare's dynamic team as a Systems Engineer specializing in MAPS (Multi-Access Point Solutions). In this hybrid role, you'll be at the forefront of ensuring seamless system integration and performance optimization. Your expertise will contribute to our mission of building a better Internet, enhancing security, and delivering unparalleled service reliability.

Join Sesame as a Sensing Systems Engineer, where you will play a critical role in the development and optimization of sensor systems that drive innovation in our products. You will collaborate with cross-functional teams to design, prototype, and test advanced sensing solutions. Your expertise will help us enhance our offerings and ensure they meet the highest standards of performance and reliability.

As a Systems Engineer II at DigitalOcean, you will play a pivotal role in designing and implementing scalable systems and services that power our cloud solutions. You will collaborate with cross-functional teams to ensure the reliability and performance of our infrastructure while driving initiatives that enhance overall system efficiency.

About Us:Aurelius Systems is a venture capital-backed startup at the forefront of defense technology, specializing in the development of autonomous, edge-deployed robotic systems utilizing directed energy for counter-unmanned aerial systems (UAS).Our innovative approach involves creating laser systems designed to neutralize drones.With a dedicated team of approximately 10 engineers, former U.S. military personnel, and industry experts, we are committed to advancing America's capabilities in directed energy technology, delivering the first cost-effective and reliable laser weapon systems.Inspired by the philosophy of Marcus Aurelius, we emphasize consistent effort and accountability in our work, embodying a culture of high output without excuses. Following in the footsteps of pioneers like Henry Ford, we embrace innovation and action within our small but impactful team.In addition to our San Francisco headquarters, we are proud to operate a manufacturing hub in Detroit and conduct field tests weekly on our expansive private range.If you thrive on seeing your engineering contributions directly in action rather than being confined to a lab, we encourage you to explore this opportunity.The Position & Your Contribution:As a Robotics Software Systems Engineer, your primary responsibility will be to ensure that all subsystems function seamlessly and efficiently together.Our system comprises a complex array of subsystems including sensing, computer vision, machine learning inference, control systems, power management, and mechanical actuation. Achieving minimal processing time and inter-process latency is crucial for successfully targeting our nimble and evasive UAS.The key area we are looking to fill is real-time systems performance at the hardware interface. You should possess a deep understanding of how software execution impacts physical system behavior, how latency accumulates across CPU, GPU, memory, and I/O, and how bandwidth limitations influence sensor data processing. We need an engineer who is detail-oriented, considering microseconds, memory bandwidth, cache behavior, and system determinism.In our tight-knit team of around 10 engineers, you will have the opportunity to take ownership of systems that are field-tested. The success of our tests is binary—it's either effective or it isn't—and your role will involve iterative improvement based on real-world outcomes.Your Responsibilities:Manage the latency budget for the entire platform, from data sensing to actuation.Profile and mitigate latency across CPU, GPU, memory, and I/O interfaces.Develop and optimize kernels for high-throughput, low-latency operations.Adjust memory access patterns for optimal performance.

About Our TeamThe Platform Systems team at OpenAI is at the forefront of innovation, merging advanced AI technologies with large-scale distributed systems. We are tasked with creating the engineering and research infrastructure essential for training OpenAI's premier models on some of the most powerful, custom-built supercomputers globally.Our team is dedicated to developing the core software for model training, delving deep into the technological stack. This encompasses collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we design are pivotal to enhancing OpenAI's research capabilities, facilitating reliable and efficient training at the leading edge of technology.We work in close partnership with researchers across the organization, continuously integrating insights from various OpenAI projects to advance our training platform.About the RoleAs a Software Engineer specializing in Platform Systems, you will architect and develop distributed systems that enhance visibility into large-scale training operations, ensuring their dependable operation at scale.Your responsibilities will include designing systems for failure detection, tracing, and observability that pinpoint slow or malfunctioning nodes, identify performance bottlenecks, and assist engineers in optimizing extensive distributed training tasks. This infrastructure is integral to the functionality of OpenAI's training stack and is continuously evolving to accommodate new use cases and increasingly intricate workloads.This position is central to our training infrastructure, merging systems engineering, performance analysis, and large-scale debugging.Key ResponsibilitiesDesign and develop distributed failure detection, tracing, and profiling systems tailored for large-scale AI training jobs.Create tools to identify slow, faulty, or errant nodes and deliver actionable insights into system behavior.Enhance observability, reliability, and performance across OpenAI's training platform.Troubleshoot and resolve issues within complex, high-throughput distributed systems.Collaborate effectively with systems, infrastructure, and research teams to advance platform capabilities.Adapt and expand failure detection and tracing systems to support new training paradigms and workloads.Ideal Candidate ProfilePossesses a deep passion for performance, stability, and observability in distributed systems.Demonstrates proficiency in systems engineering and performance analysis.Has experience in debugging high-throughput distributed systems.Exhibits strong collaboration skills with a track record of working with cross-functional teams.Shows adaptability and eagerness to embrace new technologies and methodologies.