Systems Engineer - Safety Methodologies at Waabi | San Francisco, CA

Join Waabi, a pioneering force in Physical AI led by AI visionary Raquel Urtasun, as we revolutionize autonomous transportation. Our exceptional team is pushing the boundaries of technology to power commercial autonomous trucks and robotaxis. Partnered with leaders in AI, automotive, logistics, and deep tech, Waabi is at the forefront of innovation.With a ra…

Join Waabi, a pioneering leader in Physical AI, founded by renowned AI expert Raquel Urtasun. We are at the forefront of transforming the future of autonomous transportation, leveraging advanced technologies that drive commercial autonomous trucks and robotaxis. Our esteemed partnerships with industry leaders in AI, automotive, logistics, and deep tech fuel our mission.With expanding offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is on an exciting growth trajectory. We seek diverse, innovative, and collaborative individuals eager to make a positive impact in the world. Discover more at: www.waabi.aiOur commitment to safety is unwavering. We are searching for a dedicated and skilled safety or systems engineer to lead the development and execution of vital safety framework methodologies that guide our driverless autonomy readiness. This is a remarkable opportunity to influence how Waabi quantitatively guarantees and validates the safety of our autonomous trucking solutions, utilizing our sophisticated simulator, real-world data, and innovative generative AI techniques. You will be integral in creating robust evidence for safe operations and spearheading initiatives in this dynamic and groundbreaking sector.Key Responsibilities:- Scale and manage safety framework methodologies by establishing requirements for automated assessment workflows and collaborating with the autonomy and algorithms teams to implement and troubleshoot the evaluation infrastructure.- Develop and monitor quantitative metrics to assess system performance against defined safety targets.- Enhance test coverage within Waabi’s high-fidelity simulator to validate driving behaviors in safety-critical scenarios.- Define and refine human performance benchmarks to support comprehensive comparative safety assessments.- Identify safety gaps and ensure traceability between requirements, validation artifacts, and safety case claims.- Maintain thorough documentation of safety artifacts and readiness decisions to ensure rigorous transparency and traceability.- Mentor colleagues to promote technical excellence and facilitate effective cross-functional collaboration.Qualifications:- A Bachelor's degree in an engineering discipline is required; Master’s or PhD is preferred.- Proven experience in safety engineering or systems engineering.- Strong analytical skills and experience with quantitative analysis.

Join Our Team as a Software EngineerAt intrinsic-safety, we are at the forefront of developing AI agents that tackle complex decision-making in risk investigations, fraud detection, and identity verification. Our mission revolves around empowering machines to make the most challenging judgment calls efficiently and accurately.As a dynamic and compact team based in San Francisco, we are addressing challenges that impact billions of transactions and entities. Our clientele includes renowned Fortune 500 companies, global marketplaces, and regulated financial institutions. If you are driven by ownership, quick execution, and collaboration with founders, you will thrive here.

Role OverviewAt Variance, we are at the forefront of teaching machines to execute high-stakes judgment calls on a large scale. This involves developing AI agents that navigate the complex domains of risk investigations, fraud detection, and identity verifications.Our San Francisco-based team is small yet exceptionally talented, comprising former founders and specialists from leading AI laboratories. We cater to an impressive clientele, including Fortune 500 companies, global marketplaces, and regulated financial institutions. If you are passionate about taking ownership, working swiftly, and collaborating closely with founders, you will thrive in our environment.We are seeking a Security Engineer to help establish a robust security foundation. You will collaborate across product, infrastructure, and internal systems to ensure that Variance is secure by design, enabling us to meet the rigorous standards needed to deploy AI in critical workflows for the world’s largest corporations.

At Intrinsic Safety, we're leveraging innovative technologies to tackle some of the most challenging issues of our digital era using safe and effective AI solutions. Your contributions will play a pivotal role in assisting fraud prevention and Trust & Safety teams, enabling them to concentrate on impactful tasks rather than repetitive manual reviews. We're experiencing rapid growth, partnering with some of the largest and most dynamic social media and online service platforms.We are on the lookout for an exceptional Technical Account Manager (TAM) to join our core Customer Success team. In this role, you will be crucial in ensuring our customers—particularly our enterprise clients—derive maximum value from Intrinsic Safety by providing expert technical support and guidance. You will act as the essential link between our advanced AI platform and our customers' technical teams, fostering deep platform adoption, troubleshooting complex issues, and facilitating their long-term success. This is a unique opportunity to contribute to our mission by transforming intricate technical challenges into practical solutions that effectively combat fraud and abuse.This role requires in-person attendance at our San Francisco office.Your ResponsibilitiesPost-Integration Technical Partnership: Serve as the main technical liaison for our enterprise customers post-deployment. Gain a thorough understanding of their unique technical environments and data flows as they interact with the Intrinsic Safety platform.Drive Ongoing Technical Adoption & Optimization: Assist customers in navigating advanced platform features and configurations to ensure they maximize the benefits of Intrinsic Safety’s offerings.Build Scalable Technical Resources: Develop and enhance our knowledge base, technical documentation, and best practice guides to empower both customers and the Customer Success team.Strategic Technical Troubleshooting & Resolution: Identify and resolve sophisticated technical challenges that arise after implementation, working closely with engineering and product teams to deliver scalable solutions.Product Evolution: Act as a key contributor to the continual improvement of our product offerings.

Role OverviewAt Variance, we are revolutionizing the way machines make critical judgment calls at scale. Our mission is to develop AI agents that tackle complex challenges in risk investigations, fraud detection, and identity verification.Based in the vibrant tech hub of San Francisco, our close-knit team comprises talented individuals with backgrounds from top AI labs and previous startup experiences. We cater to an impressive clientele, including Fortune 500 companies, global marketplaces, and regulated financial institutions. Success in this competitive landscape demands not only robust products and engineering but also building trust with discerning buyers and seamlessly integrating into essential workflows.We are seeking a driven Enterprise Sales Engineer to spearhead the technical aspects of our enterprise sales approach. In this role, you will collaborate closely with account executives, founders, and prospective clients to comprehend their workflows, conduct technical discovery, create engaging demos, and demonstrate how Variance delivers unparalleled value in high-stakes settings. This pre-sales opportunity is ideal for a technically adept individual who excels at client engagement and is passionate about enabling large enterprises to embrace trustworthy AI solutions.This position requires in-person presence at our San Francisco office.

Waabi builds AI-driven autonomous transportation systems, with a focus on trucks and robotaxis. The team includes specialists in AI, automotive, logistics, and deep technology, working across locations in Toronto, San Francisco, Dallas, and Pittsburgh. More details about the company can be found at www.waabi.ai. Role overview The Research Engineer in Calibration will contribute to the development of advanced calibration systems for autonomous vehicles. This position collaborates closely with scientists and engineers to deliver scalable solutions that enhance the safety and efficiency of self-driving technology. What you will do Collaborate with a multidisciplinary team to design scalable calibration systems for various sensors, including camera, lidar, radar, IMU, and GNSS. Create calibration algorithms using both classical and learning-based approaches in 3D geometry, prioritizing computational efficiency, reliability, and accuracy for safety-critical use cases. Develop and implement real-time monitoring algorithms that assess calibration integrity, supporting safe operation throughout a diverse fleet of autonomous vehicles. Oversee the deployment of calibration processes at scale across the entire vehicle fleet.

Join Waabi as a Senior / Staff Software Engineer specializing in Localization, where you'll play a pivotal role in enhancing our products for diverse global markets. You will be responsible for designing and implementing innovative software solutions that facilitate language and cultural adaptations across our platforms.

About the Role Twitch Interactive, Inc. is looking for a Software Engineer to focus on safety features in our San Francisco office. This role centers on building and improving systems that help protect the Twitch community, while keeping the user experience smooth and reliable. What You Will Do Develop and enhance features that support user safety across the Twitch platform Work closely with teams from different disciplines to design scalable solutions Balance strong safety measures with a seamless experience for streamers and viewers Location This position is based in San Francisco, CA.

About CartesiaAt Cartesia, we are on a mission to revolutionize artificial intelligence by creating interactive intelligence that is accessible and effective in any environment. We have identified a gap in current AI capabilities; existing models struggle to continuously process extensive streams of audio, video, and text data. Our vision is to bridge this gap by developing pioneering model architectures.Founded by PhD experts from the Stanford AI Lab, we are the creators of State Space Models (SSMs), a groundbreaking approach to training efficient, large-scale foundation models. Our team merges profound expertise in model innovation with systems engineering and product design to deliver advanced models and user experiences.Backed by leading investors such as Index Ventures and Lightspeed Venture Partners, along with an array of esteemed advisors, we are well-positioned to push the boundaries of AI.About the RoleWe are seeking a talented Software Engineer specializing in database systems to architect and scale Cartesia’s data infrastructure. You will play a crucial role in implementing robust data governance and developing user-friendly, secure database tools that empower both engineers and non-engineers.Your ImpactDesign and enhance database platforms to ensure scalability to over 100 times current capacity while maintaining uptime, latency, and accuracy.Construct data storage architectures that function seamlessly across various environments including AWS, GCP, on-premises systems, and third-party deployments.Facilitate accelerated development across the organization by providing high-quality database tools and resources to both technical and non-technical users.Implement secure access control mechanisms to ensure sensitive data is restricted to authorized personnel only.Develop scalable data governance systems focused on permissions, auditing, and compliance, utilizing IAM policies, ACLs, and security controls across a large user base.What You BringExpertise with cloud services such as AWS, GCP, or Azure, along with experience using infrastructure-as-code tools like Terraform.A proven history of managing database systems during periods of rapid growth in dynamic environments.

Join linqapp as a Systems Engineer and be a pivotal part of our innovative team in the heart of San Francisco. In this role, you will design, implement, and maintain systems that enhance our product offerings and drive efficiency. We are looking for a passionate engineer who thrives in a collaborative environment and is dedicated to delivering high-quality solutions.

We are seeking an ambitious and organized Chief of Staff to join our dynamic team in San Francisco. This role is pivotal in helping us scale our operations and navigate through the exciting challenges of growth.As Chief of Staff, you will collaborate closely with the CEO to define and streamline our operational cadence. You will take charge of executing essential tasks across various functions, including recruitment, finance, and the implementation of new initiatives. Being part of a lean team means your decisions will directly impact our trajectory, and you will have the autonomy to shape our processes and outcomes.Key ResponsibilitiesOversee internal operations, including financial management and human resourcesManage day-to-day administrative tasks such as payroll, expense tracking, and vendor relationsLead recruitment efforts, conduct interviews, and onboard new team membersDrive new initiatives and special projects focused on growth, sales, marketing, and partnershipsSupport the go-to-market strategy for the enterpriseDevelop and automate processes that enhance efficiency as we scaleThis is a high-impact role for a motivated individual eager to become a top-tier operator. You will gain hands-on experience across various domains such as recruitment, marketing, operations, and customer development. As our company expands, so will the scope of your responsibilities and opportunities.

Join the Center for AI Safety (CAIS), a premier research and advocacy institution dedicated to minimizing large-scale societal risks associated with artificial intelligence. We tackle the most pressing challenges in AI through innovative technical research, community-building initiatives, and active policy engagement, alongside our sister organization, the Center for AI Safety Action Fund.As a Research Engineer, you will operate at the forefront of advanced machine learning research and dependable engineering practices. Your role will involve designing and executing experiments on large language models, developing the necessary tools for extensive model training and evaluation, and translating findings into publishable research. You will work collaboratively with CAIS researchers and external academic and commercial partners, utilizing our compute cluster to conduct large-scale training and evaluations. Your work will focus on critical areas such as AI honesty, robustness, transparency, and the identification of trojan/backdoor behaviors, all aimed at mitigating real-world risks posed by sophisticated AI systems.

Company Overview:Specter is revolutionizing how businesses perceive their physical environments by developing a software-defined control plane. Our mission is to enhance the security of American enterprises by providing them with comprehensive visibility over their physical assets.We are pioneering a connected hardware-software ecosystem that leverages multi-modal wireless mesh sensing technology, reducing the deployment costs and time for sensors by a factor of ten. Our platform aims to be the perception engine for a company’s physical presence, facilitating real-time visibility of perimeters and enabling autonomous operational management.Founded by passionate innovators from Anduril, Tesla, Uber, and the U.S. Special Forces, our co-founders, Xerxes and Philip, are dedicated to empowering our partners in the rapidly evolving landscape of physical AI and robotics.

At Crusoe, our mission is to propel the availability of energy and intelligence. We are designing the engine that fuels a future where individuals can ambitiously innovate with AI, all while upholding standards of scale, speed, and sustainability.Join us in the AI revolution powered by sustainable technology at Crusoe. Here, you will spearhead significant innovations, make a lasting impact, and collaborate with a team that is leading the charge in responsible, transformative cloud infrastructure.About This Role:We are on the lookout for a Hardware Production / Sustaining Engineer to enhance Crusoe’s Hardware Systems Engineering team and address critical skill gaps in debugging, validation, and production support of high-performance computing systems. In this role, you will oversee the entire hardware lifecycle—from prototype initiation to mass production—while driving automation, resolving intricate issues, and ensuring reliability across Crusoe Cloud’s GPU- and CPU-based infrastructure.You will collaborate closely with cross-functional teams to support, debug, and optimize hardware platforms at scale, with a specific focus on PCIe, InfiniBand, and NVMe/storage, which are recognized as vital areas for enhanced expertise. Your contributions will significantly influence Crusoe’s capability to deploy and manage sustainable, AI-first computing systems that deliver world-class performance and reliability.What You’ll Be Working On:Lead the entire hardware development and sustaining lifecycle, encompassing feasibility, bring-up, validation, deployment, and ongoing production support.Create and maintain scripting and automation frameworks for hardware testing, diagnostics, and continuous reliability enhancements.Guide deep troubleshooting and debugging across:PCIe (link training, topology, performance issues)InfiniBand (fabric debugging, throughput, connectivity issues)NVMe/storage (performance bottlenecks, firmware interactions, failure analysis)Perform thorough system validation and characterization for GPU, CPU, and high-performance computing platforms.Assist in end-to-end integration and solution testing to guarantee that Crusoe Cloud products fulfill performance, reliability, and scalability standards.Work in tandem with mechanical, thermal, firmware, software, and manufacturing teams to resolve system-level challenges.

About braintrustBraintrust is at the forefront of AI observability. By merging evaluation and observability into a singular workflow, we empower developers with the insights needed to comprehend AI behavior in production environments, along with the tools to enhance it.Leading teams at Notion, Stripe, Zapier, Vercel, and Ramp utilize Braintrust to compare models, test prompts, and monitor regressions — transforming production data into superior AI with each new release.About the roleWe are in search of a passionate software engineer dedicated to crafting high-performance data processing systems. Our clientele consists of large enterprises handling complex, semi-structured data, which they require for real-time processing and analysis. Our distinct architecture enables these organizations to keep data on-premises while creating intricate visualizations that load without delay. Explore our Brainstore blog post.If you have experience with database systems, compilers, networks, or storage systems and aspire to pivot your expertise into the AI sector, this role could be your ideal fit. You will significantly influence foundational system architecture, technology selection, and implementation. Our founding team possesses extensive knowledge in database and ML systems, and you will have the autonomy to collaborate closely with them while exploring your innovative ideas.Your ResponsibilitiesAs a systems engineer at Braintrust, you’ll contribute to the core systems that empower Braintrust’s capability to process and query vast amounts of unstructured data at an enterprise scale. Key areas of responsibility include:Enhancing the storage, indexing, and query execution performance of Brainstore.Developing Braintrust's btql query language.Optimizing query patterns to boost performance across our platform.QualificationsDeep understanding of systems programming (C++ or Rust, concurrency, databases, operating systems).Experience in founding or working at startups is advantageous.Familiarity with writing prompts or experimenting with GPT models and applications.BenefitsComprehensive medical, dental, and vision insurance.Daily lunch, snacks, and beverages provided.Flexible time off policy.Competitive salary with equity options.

Midstream is an innovative, AI-driven financial operating system tailored for healthcare systems. Founded by a team of seasoned entrepreneurs and supported by prestigious investors, we empower finance, supply chain, and managed care teams with real-time insights into margin risks, enabling them to act swiftly to protect their margins.Designed specifically for the complexities of healthcare, Midstream converts structured, unstructured, and external data into immediate, contract-aware insights that enhance decision-making. Our AI-driven agents integrate spending and revenue operations across the entire back-office, continuously learning and adapting to ensure a level of intelligence that surpasses any standalone solution.We are revolutionizing the pace of healthcare finance, compressing lengthy processes into minutes and transforming retrospective insights into proactive foresight. Midstream is at the forefront of this change.The OpportunityJoin Midstream at a pivotal moment in our growth and contribute to establishing the technical backbone of our platform. In this role, you will operate at the intersection of product development, systems architecture, and cloud infrastructure, crafting and building distributed systems that enable our agile team to operate efficiently as we expand.You will collaborate closely with engineers and leadership to identify current infrastructural pain points and anticipate potential challenges before they arise. From multi-tenant architectures to security protocols, you will transform uncertainty into robust systems that minimize operational burdens and enhance engineering productivity.We are seeking a software engineer with a systems-oriented mindset who is passionate about long-term maintainability and developer experience, while also enjoying the process of creating backend services and delivering tangible software solutions. The ideal candidate will be adept at reasoning about distributed systems, making practical compromises, and developing infrastructure that seamlessly integrates into the background, allowing the team to focus on delivering impactful product value.What You’ll DoDevelop shared platform patterns and tools that enable engineers to launch new backend services and workflows efficiently, securely, and reliably.Enhance the reliability of our production systems by improving observability, debugging capabilities, and resilience as we scale.Architect infrastructure that is clean, reviewable, and repeatable, minimizing unique configurations and facilitating rapid iteration.Establish clear, scalable multi-tenant boundaries across data, compute, and identity to support...

Join our dynamic team at abridge as a Senior IT Systems Engineer. In this pivotal role, you will leverage your expertise to design, implement, and maintain robust IT systems that drive our business operations forward. Collaborate with cross-functional teams to innovate and enhance our technological infrastructure, ensuring seamless integration and optimal performance.

Astranis is revolutionizing satellite communication by designing and deploying cutting-edge satellites for high orbits, thereby enhancing humanity’s exploration of the solar system. Our state-of-the-art satellites deliver dedicated, secure networks to a diverse clientele, including major enterprises, government entities, and the US military. With five satellites in orbit and a robust pipeline of future launches, we are addressing over $1 billion in commercial contracts.As the preferred partner for satellite communications, Astranis meets the rigorous demands for uptime, data security, network visibility, and customization. Backed by over $750 million from esteemed investors such as Andreessen Horowitz, Blackrock, and Fidelity, our dynamic team of 450 engineers and entrepreneurs operates from our expansive 153,000 sq. ft. headquarters in Northern California.As an RF Systems Engineer, you will be pivotal in shaping our RF systems roadmap, evaluating trade-offs, incubating new technologies, and managing RF sub-systems budgets and requirements. You will model payload and TT&C systems for both commercial and USG satellites, taking ownership of your projects while collaborating across teams to innovate and advance satellite technology.

Join Waabi, a pioneering company at the forefront of autonomous technology, as a Distillation Lead. In this dynamic role, you will spearhead innovative distillation processes, ensuring efficiency and quality in our production lines. Collaborate with a talented team of engineers and scientists dedicated to revolutionizing the future of transportation.