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Experience Level
Mid to Senior
Qualifications
The ideal candidate will possess a strong background in information systems engineering with a focus on systems architecture. You should have experience in software development, system integration, and project management. A bachelor's degree in Computer Science or a related field is preferred. Key qualifications include:Proficiency in programming languages such as Java, Python, or C#Experience with database management systemsStrong analytical and problem-solving skillsExcellent communication and teamwork abilities
About the job
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 City and County of San Francisco
The City and County of San Francisco is dedicated to promoting innovation and providing high-quality services to our residents. We are committed to creating an inclusive work environment that values diversity, creativity, and collaboration.
About SesameAt Sesame, we envision a world where technology seamlessly integrates into our daily lives, making interactions with computers feel intuitive and human. Our mission is to create groundbreaking voice agents that enhance everyday experiences. Our talented team comprises trailblazers from Oculus, Ubiquity6, and industry giants like Meta, Google, and…
Full-time|Remote|Boston - Massachusetts; Carmel - Indiana; Chicago - Illinois; Lambertville - New Jersey; Remote - USA; San Francisco - California; Water Street - New York
Role Overview realchemistry is seeking an Audio Engineer focused on sound innovation. This role supports projects aimed at transforming the healthcare landscape through advanced audio technology. What You Will Do Work closely with cross-functional teams to develop and deliver audio solutions for a range of projects Apply current tools and techniques to achieve high-quality sound production Contribute to the creation and implementation of new audio approaches that support project goals Locations Boston, Massachusetts Carmel, Indiana Chicago, Illinois Lambertville, New Jersey Remote, USA San Francisco, California Water Street, New York
Zyphra is an innovative artificial intelligence company located in the heart of San Francisco, California.The Opportunity:Join our dynamic team as a Research Engineer - Audio & Speech Models, where you will play a pivotal role in advancing Zyphra’s Audio Team. You will be instrumental in developing cutting-edge open-source text-to-speech and audio models. Your contributions will span the full spectrum of the model training process, from data collection and processing to the design of innovative architectures and training approaches.Your Responsibilities:Conduct large-scale audio training operationsOptimize the performance of our training infrastructureCollect, process, and evaluate audio datasetsImplement architectural and methodological improvements through rigorous testingWhat We Seek:A strong research mindset with the ability to navigate projects from ideation to implementation and documentation.Proficiency in rapid prototyping and implementation, allowing for swift experimentation.Effective collaboration skills in a fast-paced research environment.A quick learner who is eager to embrace and implement new concepts.Excellent communication abilities, enabling you to contribute to both research and engineering tasks at scale.Preferred Qualifications:Expertise in training audio models, such as text-to-speech, ASR, speech-to-speech, or emotion recognition.Experience with training audio autoencoders.Solid understanding of signal processing, particularly in audio.Familiarity with diffusion models, consistency models, or GANs.Experience with large-scale (multi-node) GPU training environments.Strong understanding of experimental methodologies for conducting rigorous tests and ablations.Interest in large-scale, parallel data processing pipelines.Competence in PyTorch and Python programming.Experience contributing to large, established codebases with rapid adaptation.
About SunoAt Suno, we are revolutionizing the music landscape by harnessing the power of cutting-edge AI technology. Our mission is to enhance creativity and foster musical expression through our innovative platform, which features the groundbreaking Suno Studio—a generative audio workstation designed for everyone from casual creators to professional musicians. Join our mission to empower a global community to craft, share, and experience music like never before.About the RoleAs an integral member of our Professional Creation team, you will contribute to the development of tools that redefine the creative process for artists, songwriters, and producers. Your work will directly influence how music is produced globally, enabling you to leave a lasting impact on the industry.Explore the Suno version of this role here!What You’ll DoDesign and implement engaging web interfaces that facilitate music creation and editing, particularly within our flagship product, Suno Studio.Take full ownership of specific product features, driving them from concept to launch for millions of users worldwide.Enhance the performance, aesthetics, and user experience of our applications, ensuring a delightful interaction for all users.Immerse yourself in the creative process—let your passion for music shine through your work!What You’ll NeedA minimum of 3 years of experience in delivering production-ready web applications.Proficiency in Typescript, React, CSS, and SQL.Demonstrated experience in developing complex, responsive web applications, with the ability to translate designs into scalable code.A deep passion for user experience, attention to detail, and a strong commitment to rapid iteration and improvement.Experience with multi-threaded web applications and WebGL is a plus.Familiarity with DSP and audio frameworks such as Juce is advantageous.A genuine love for music—whether it's listening, composing, or exploring new genres—is essential.A Bachelor’s degree or equivalent qualification is required.Additional Notes: Candidates must be authorized to work in the U.S.BenefitsEquity compensation package401(k) plan with a company matchComprehensive health benefitsFlexible work hours and remote work options
About Plaud Inc.Plaud is revolutionizing workplace productivity by creating the world’s most trusted AI work companion. Our innovative note-taking solutions have garnered the love of over 1.5 million users globally since 2023. Our mission is to enhance human intelligence, crafting advanced infrastructure and interfaces that effectively capture and utilize various forms of human input.Based in San Francisco and incorporated in Delaware, Plaud Inc. is at the forefront of human–AI collaboration, blending hardware and software to create groundbreaking solutions. Our commitment to data security and privacy is reinforced by our compliance with SOC 2, HIPAA, GDPR, ISO27001, ISO27701, and EN18031 standards.Discover more about us at https://www.Plaud.ai and follow our journey on Instagram, X, Facebook, LinkedIn, and YouTube.
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.
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.
Full-time|$350K/yr - $475K/yr|On-site|San Francisco
At Thinking Machines Lab, our mission is to enhance humanity's potential through the advancement of collaborative general intelligence. We envision a future where everyone can access the knowledge and tools necessary to leverage AI for their individual needs and objectives.As a team of scientists, engineers, and innovators, we have developed some of the most widely utilized AI products, such as ChatGPT and Character.ai, along with open-weight models like Mistral, and popular open-source projects including PyTorch, OpenAI Gym, Fairseq, and Segment Anything.Role OverviewAt Thinking Machines, we adopt a multimodal-first approach, where multimodality is integral to our scientific goals and infrastructure. We are seeking skilled researchers to push the boundaries of audio capabilities. In this role, you will delve into how audio models can facilitate more natural and efficient communication and collaboration by preserving information and accurately capturing user intent.This position requires strong collaboration across pre-training, post-training, and product development with top-tier researchers, infrastructure engineers, and designers. Here, you will have the chance to influence the foundational capabilities of AI systems that will be utilized by millions globally.This role marries fundamental research with practical engineering, as we do not separate these functions internally. You will be expected to write high-performance code as well as engage with technical reports. It is an ideal position for someone who enjoys both extensive theoretical research and hands-on experimentation while laying the groundwork for how AI learns.Note: This is an evergreen role that remains open continuously to gauge interest in this research area. We receive numerous applications, and there may not always be an immediate match for your skills and experience. Nevertheless, we encourage you to apply, as we routinely review applications and reach out as new opportunities arise. You are welcome to reapply if you gain additional experience, but please avoid applying more frequently than every six months. Occasionally, we also post specific roles for distinct project or team needs, in which case you are welcome to apply directly alongside an evergreen submission.
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.
About Liquid AILiquid AI, a pioneering company spun out of MIT CSAIL, is at the forefront of developing general-purpose AI systems that operate efficiently across various platforms, from data center accelerators to on-device hardware. Our commitment to low latency, minimal memory usage, privacy, and reliability allows us to partner with some of the most esteemed enterprises in consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we are seeking exceptional talent to join our innovative journey.The OpportunityJoin our cutting-edge Audio team, where we are developing advanced speech-language models capable of handling Speech-to-Text (STT), Text-to-Speech (TTS), and speech-to-speech tasks within a unified architecture. This pivotal role supports applied audio model development, directly collaborating with the technical lead to deliver production systems that operate on-device under real-time constraints. You will take ownership of key workstreams encompassing data pipelines, evaluation systems, and customer deployments. If you are eager to tackle unique technical challenges within a small, elite team where your contributions are impactful, this is the role for you.What We're Looking ForWe are seeking an individual who:Builds first, theorizes later: You prioritize shipping working systems over theoretical models; production-grade code is your default.Owns outcomes end-to-end: You take full responsibility for everything from data pipelines to customer deployments and don't shy away from challenges.Thrives under constraints: On-device, low-latency, memory-constrained environments motivate you. You view constraints as opportunities for innovative design.Ramps quickly on new territory: You are comfortable closing knowledge gaps swiftly and actively seek feedback to drive results.The WorkDevelop and scale data pipelines for audio model training, including preprocessing, augmentation, and quality filtering at scale.Design, implement, and maintain evaluation systems that assess multimodal performance across both internal and public benchmarks.Fine-tune and adapt audio models to cater to customer-specific use cases, taking charge from requirement gathering through to deployment.Contribute production code to the core audio repository while collaborating closely with infrastructure and research teams.Facilitate experimentation under real hardware constraints, transitioning smoothly between customer-focused projects and core development initiatives.
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.
bland is looking for a Machine Learning Researcher with a focus on audio. This position is based in San Francisco and centers on advancing how machines process and understand sound. The team works on pushing the boundaries of audio technology for a range of platforms. Responsibilities Research and develop new machine learning techniques for audio applications Contribute to projects that improve audio processing and analysis Collaborate with colleagues to bring research ideas into real-world audio products Location This role requires working onsite in San Francisco.
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.
