Software Engineer

Lyft’s Self-Serve Intelligence team builds the systems that help riders and drivers resolve issues on their own. Part of the Safety & Customer Care organization, this group focuses on backend services, APIs, and AI-powered products that let customers get help without waiting for an agent. The team’s work includes AI Assist (such as AI Agents), automations, and self-service workflows, all designed to make support fast and reliable. Role overview As a Senior Software Engineer on this team, the main responsibility is to design, build, deploy, and maintain backend systems and AI-driven tools that handle customer problems automatically. These solutions use Generative AI and automation to deliver scalable, dependable self-service experiences for millions of Lyft riders and drivers. What you will do Design and develop backend services and APIs for AI-powered self-service products Build and maintain AI Agents and automation tools that resolve customer issues without agent involvement Oversee the full development lifecycle: system design, prototyping, deployment, and ongoing operations Work closely with product managers, designers, data scientists, and operations teams to deliver robust solutions Focus on reliability, scalability, and operational excellence in all systems Location This role is based in San Francisco, CA.

At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging issues of our time—from realizing the future of transportation to speeding up medical innovations. We achieve this by developing and maintaining the premier data and AI infrastructure platform, allowing our clients to leverage profound data insights to enhance their operations. Our Model Serving product equips organizations with a cohesive, scalable, and governed platform for deploying and overseeing AI/ML models, spanning traditional ML to specialized large language models. It provides real-time, low-latency inference, governance, monitoring, and lineage capabilities. With the rapid rise of AI adoption, Model Serving stands as a fundamental component of the Databricks platform, enabling clients to operationalize models efficiently and cost-effectively at scale. As a Senior Engineer, your role will be pivotal in transforming both the product experience and the underlying infrastructure of Model Serving. You will design and create systems enabling high-throughput, low-latency inference across CPU and GPU workloads, influence architectural strategies, and work closely with platform, product, infrastructure, and research teams to deliver an exceptional serving platform.

Deepgram is seeking a dynamic and experienced Vice President of Self-Serve Solutions to lead our self-service initiatives and drive customer engagement. In this pivotal role, you will be responsible for developing and executing strategies that enhance our self-serve offerings, ensuring a seamless experience for our users. Your leadership will be crucial in defining product direction, fostering innovation, and collaborating across teams to achieve our business goals.

OpenAI’s Self-Serve Business Growth team focuses on expanding self-serve product offerings, including Codex and the OpenAI API. The team supports the entire customer journey, from acquisition through retention and expansion, aiming to help teams discover, adopt, and maximize OpenAI products through accessible, scalable experiences. Role overview This Product Manager - Lead for Self-Serve Business Growth role centers on shaping the product strategy for how businesses and teams engage with OpenAI’s self-serve products. The position calls for a strategic, data-driven leader with a strong background in product-led growth and B2B products. Success in this role means identifying high-impact opportunities, collaborating across teams, and ensuring a seamless experience as customers move from initial use to broader adoption. What you will do Develop and define a product strategy for self-serve business growth, covering acquisition, conversion, activation, retention, expansion, and monetization. Pinpoint and prioritize product opportunities that drive team adoption, usage, and retention. Create growth strategies to help teams realize value quickly and deepen their engagement over time. Work closely with core product teams to set roadmap priorities and embed growth opportunities into the product experience. Own goals, metrics, and executive-level communications for self-serve business growth, including progress updates, insights, trade-offs, and investment needs. Collaborate with Sales and Go-To-Market teams to design smooth transitions, upsells, and expansion paths between self-serve and Enterprise tiers. Use customer insights, product analytics, experimentation, and business data to guide strategy and measure results. Influence cross-functional partners across Product, Engineering, Design, Data Science, Sales, Marketing, and Operations. Support building and mentoring a growing team of Product Managers as the self-serve growth function scales. Requirements Significant experience as a Product Manager in product-led growth and B2B products, with a demonstrated ability to influence cross-functional teams and drive strategy using data and customer insights.

At Databricks, we are dedicated to empowering data teams to tackle the most challenging problems in the world — from realizing the future of transportation to fast-tracking medical innovations. We accomplish this by developing and operating the premier data and AI infrastructure platform, enabling our customers to harness profound data insights for business enhancement. Our Model Serving product equips organizations with a cohesive, scalable, and governed solution for deploying and managing AI/ML models — ranging from traditional machine learning to intricate proprietary large language models. It ensures real-time, low-latency inference, governance, monitoring, and lineage. As the adoption of AI surges, Model Serving stands as a fundamental component of the Databricks platform, allowing customers to operationalize models at scale with robust SLAs and cost efficiency. In the role of Staff Engineer, you will significantly influence both the product experience and the core infrastructure of Model Serving. Your responsibilities will include designing and constructing systems that facilitate high-throughput, low-latency inference across CPU and GPU workloads, steering architectural strategies, and collaborating extensively with platform, product, infrastructure, and research teams to create an exceptional serving platform.

At Databricks, we are driven by our commitment to empower data teams in tackling the world's most challenging problems — from transforming transportation solutions to accelerating medical advancements. Our mission revolves around constructing and maintaining the world's premier data and AI infrastructure platform, enabling our clients to harness deep data insights for enhanced business outcomes.Foundation Model Serving represents the API product designed for hosting and serving advanced AI model inference, catering to both open-source models like Llama, Qwen, and GPT OSS, as well as proprietary models such as Claude and OpenAI GPT. We welcome engineers who have experience managing high-scale operational systems, including customer-facing APIs, Edge Gateways, or ML Inference services, even if they do not have a background in ML or AI. A passion for developing LLM APIs and runtimes at scale is essential.As a Staff Engineer, you will play a pivotal role in defining both the product experience and the underlying infrastructure. You will be tasked with designing and building systems that facilitate high-throughput, low-latency inference on GPU workloads with cutting-edge models. Your influence will extend to architectural direction, working closely with platform, product, infrastructure, and research teams to deliver an exceptional foundation model API product.The impact you will have:Design and implement core systems and APIs that drive Databricks Foundation Model Serving, ensuring scalability, reliability, and operational excellence.Collaborate with product and engineering leaders to outline the technical roadmap and long-term architecture for workload serving.Make architectural decisions to enhance performance, throughput, autoscaling, and operational efficiency for GPU serving workloads.Contribute directly to critical components within the serving infrastructure, from systems like vLLM and SGLang to developing token-based rate limiters and optimizers, ensuring seamless and efficient operations at scale.Work cross-functionally with product, platform, and research teams to transform customer requirements into dependable and high-performing systems.Establish best practices for code quality, testing, and operational readiness while mentoring fellow engineers through design reviews and technical support.Represent the team in inter-departmental technical discussions, influencing Databricks’ wider AI platform strategy.

Join Sierra as a Software Engineer specializing in Intelligence, where you will play a pivotal role in developing innovative software solutions that enhance our intelligence capabilities. Collaborate with a dynamic team of professionals in a stimulating environment that encourages creativity and technical growth.

At Databricks, we are dedicated to empowering data teams to tackle the most challenging global issues—whether it's transforming transportation or speeding up medical advancements. We achieve this by constructing and managing the world's leading data and AI infrastructure platform, enabling our clients to leverage deep data insights for business enhancement. The Model Serving product at Databricks offers enterprises a cohesive, scalable, and governed platform for deploying and managing AI/ML models—from conventional ML to sophisticated, proprietary large language models. It facilitates real-time, low-latency inference while providing governance, monitoring, and lineage capabilities. As AI adoption surges, Model Serving becomes a central component of the Databricks platform, allowing customers to operationalize models efficiently and cost-effectively. As a Senior Engineering Manager, you will lead a team responsible for both the product experience and the underlying infrastructure of Model Serving. This role involves shaping user-facing features while architecting for scalability, extensibility, and performance across CPU and GPU inference. You will collaborate closely with various teams across the platform, product, infrastructure, and research domains.

Why Join AngelListAt AngelList, we are committed to tackling some of the most challenging issues in venture capital and private markets. Join a dynamic team that prioritizes precision, urgency, and strategic thinking. If you are eager to influence the funding and development of startups, this is your opportunity.About AngelListOur mission is to accelerate innovation by enhancing the success rate of startups worldwide. We achieve this by creating a robust financial infrastructure that facilitates investment in transformative companies.AngelList serves as the central hub for venture capital and the startup ecosystem, managing over $171 billion in assets and supporting investments in more than 13,000 startups, including over 300 unicorns. Currently, 57% of premier U.S. VC deals involve investors through AngelList. Our ambitions exceed our current scale.If you are passionate about shaping the future of private markets, we invite you to join our journey.About the Role:We are looking for Senior Software Engineers to be a part of our Intelligence team. In this role, you will be responsible for designing, developing, and maintaining services that facilitate retrieval, semantic search, agent orchestration, model integrations, and data pipelines, transforming our proprietary signals into actionable product features.For more insights into our product direction, please visit: our blog.

About Matter IntelligenceMatter Intelligence is pioneering the future of vision AI by integrating a groundbreaking sensor capable of perceiving molecular chemistry, temperature, and 3D shapes with a Large World Model—our sophisticated intelligence engine tailored for the physical realm. This innovative system transcends mere visual perception; it comprehensively understands everything from a single pixel. We term this as Superintelligent Vision.Our distinguished team has contributed technologies to Mars missions for NASA/JPL, co-established and led infrastructure initiatives for OpenAI, developed advanced sensors for U.S. Defense, and created fundamental algorithms for spectral and 3D imaging. Together, we are committed to establishing the next frontier for vision and intelligence in the physical world.About the RoleAt Matter, we are developing technology that sits at the intersection of hardware, AI, and Earth observation. This position is uniquely positioned between Engineering and Operations.As the inaugural hire in this role, you will collaborate closely with various teams across Matter, including sensor engineers, ML researchers, satellite systems designers, sales, and leadership. Your primary responsibility will be to understand their workflows, pinpoint opportunities where intelligent agents can condense hours of work into mere seconds, and design these solutions. One week you might be crafting a multi-agent workflow for automating competitive intelligence tracking, and the next, you could be developing an internal tool that provides the hardware team with instant access to five different documentation systems. You will take ownership of challenges from discovery through deployment and continuous iteration.This position is not suited for individuals who prefer to follow a ticket queue. It is tailored for a developer with robust computer science fundamentals who can work autonomously, build trust within a demanding organization, and deliver production-grade agents that are essential to our operations.Key ResponsibilitiesAgent Development & EngineeringDesign, develop, test, and maintain production-quality AI agents and tools utilizing contemporary frameworks and APIs.Architect robust, secure, observable, and maintainable agentic systems.Create AI-native user experience patterns that facilitate seamless adoption: including human-in-the-loop checkpoints, auditability, graceful failure/rollback, and feedback mechanisms.Choose and integrate suitable tools, memory systems, and retrieval strategies tailored to each agent's specific use case.Produce clean, well-documented, version-controlled code, setting the standard for quality.Product Discovery & RequirementsEngage with stakeholders to gather requirements and translate them into effective AI solutions.

Join our dynamic Machine Learning Infrastructure team as a Senior AI Infrastructure Engineer, where you will play a pivotal role in designing and constructing platforms that ensure the scalable, reliable, and efficient serving of Large Language Models (LLMs). Our innovative platform supports a range of cutting-edge research and production systems, catering to both internal and external applications across diverse environments.The ideal candidate will possess a solid foundation in machine learning principles coupled with extensive experience in backend system architecture. You will thrive in a collaborative environment that bridges research and engineering, working diligently to provide seamless experiences for our customers and accelerating innovation across the organization.

Join our dynamic team at Databricks as a Senior Software Engineer specializing in Customer Experience Intelligence (CXI). In this role, you will be at the forefront of shaping and enhancing customer interactions through innovative software solutions. Your expertise will drive the development of tools that empower our clients to leverage data for superior customer engagement.

Join Cloudflare as a Senior Threat Intelligence Engineer, where you will play a pivotal role in enhancing our security posture by analyzing and mitigating cyber threats. You will collaborate closely with cross-functional teams to develop strategies that protect our global network and safeguard our customers' data. Your expertise will be essential in driving threat intelligence initiatives, ensuring that we remain ahead of emerging threats.

At Crusoe, our vision is to enhance the availability of energy and intelligence. We are at the forefront of developing solutions that empower individuals to innovate boldly with AI, all while ensuring that we uphold principles of scalability, speed, and sustainability.Join us in driving the AI revolution through sustainable technology at Crusoe. You will play a pivotal role in fostering innovation, making a significant impact, and collaborating with a team that is leading the way in responsible and transformative cloud infrastructure.About the RoleWe are on the lookout for a Senior Software Engineer to take on the role of founding engineer within our new Enterprise Software Engineering team in IT. You will work closely with the Director to develop internal tools, automation processes, and integrations that remove manual tasks and address critical operational challenges across the organization.This role transcends traditional enterprise IT positions. You will leverage AI-assisted development as your primary method, delivering production-quality software within days instead of months, while laying the groundwork for future team members. As you grow in this role, your primary contributions will focus on defining specifications, context, and reusable patterns to guide AI agents, while still engaging in hands-on coding for the most complex challenges.Your ResponsibilitiesDesigning and deploying internal tools, automation, and integrations that provide measurable benefits across Finance, Operations, HR, and other business functions.Utilizing AI-assisted development as your standard workflow, which includes drafting specifications, creating prompts, reviewing AI-generated code, and iterating quickly.Establishing foundational technical patterns such as coding standards, project conventions, reusable components, and context files that facilitate AI-driven development.Creating and managing integrations between enterprise systems through APIs, middleware, and data pipelines.Developing solutions across a versatile environment that combines cloud application platforms with internal GPU compute for AI workloads.Collaborating with business teams during rapid prototyping sessions, then refining prototypes into production-ready systems complete with testing, monitoring, and documentation.Setting up CI/CD pipelines, automated testing, and quality assurance measures for all solutions delivered.Taking ownership of solutions from end to end, covering everything from specification and implementation to deployment and production support.

At Sciforium, we're at the forefront of AI infrastructure innovation, dedicated to developing cutting-edge multimodal AI models and a proprietary, high-efficiency model serving platform. With significant multi-million-dollar backing and direct collaboration from AMD, including hands-on support from AMD engineers, our team is rapidly expanding to construct the comprehensive stack that fuels leading-edge AI models and real-time applications.About the RoleJoin us in a unique opportunity to architect and spearhead the development of Sciforium's next-generation model serving platform, the powerhouse that will deliver a multimodal, high-performance foundation model to market. As a senior technical leader, you will not only craft core components but also mentor and guide fellow engineers, shaping engineering direction, standards, and quality of execution.You'll delve into the entire AI stack: from GPU kernels and quantized execution paths to distributed serving, scheduling, and the APIs that drive real-time AI applications. If you relish deep systems work, thrive on ownership, and aspire to lead engineers in constructing foundational AI infrastructure, this role places you at the heart of Sciforium's mission and growth.Your ResponsibilitiesSteer the technical direction of the model serving platform, overseeing architectural decisions and engineering execution.Develop core serving components such as execution runtimes, batching, scheduling, and distributed inference systems.Create high-performance C++ and CUDA/HIP modules, including custom GPU kernels and memory-optimized runtimes.Collaborate with ML researchers to transition new multimodal models into production while ensuring low-latency, scalable inference.Construct Python APIs and services that make model capabilities accessible to downstream applications.Mentor and assist other engineers through code reviews, design discussions, and direct technical support.Lead performance profiling, benchmarking, and observability initiatives across the inference stack.Guarantee high reliability and maintainability through rigorous testing, monitoring, and adherence to engineering best practices.Diagnose and resolve intricate issues spanning GPU, runtime, and service layers.

The Trade Desk is a leading global technology company dedicated to fostering a better, more open internet for everyone through principled, intelligent advertising. With the capability to handle over 1 trillion queries daily, our platform operates at an unparalleled scale. We pride ourselves on our award-winning culture, built on the foundations of trust, ownership, empathy, and collaboration. We appreciate the unique experiences and perspectives that every individual brings to The Trade Desk, and we are committed to creating inclusive spaces where everyone can express their authentic selves at work. If you are passionate about solving complex problems at scale and are eager to join a dynamic, globally-connected team where your contributions will significantly impact the media ecosystem, we invite you to explore why Fortune magazine consistently ranks The Trade Desk among the top small to medium-sized workplaces worldwide. As a Senior Software Engineer, you will have end-to-end ownership, allowing you to engage in various facets of designing, building, and delivering data-centric products for our stakeholders. At The Trade Desk, we focus on constructing the back-end infrastructure of our platform with an unwavering commitment to quality at scale. Whether developing components for our client-facing applications, crafting internal custom solutions for our teams, or building model pipelines for bidding optimizations, we ensure that the infrastructure, development processes, and tools empower us to execute efficiently. Our systems operate continuously, serving global traffic, and we collaborate in a highly cooperative environment while leveraging a diverse array of technologies. Our back-end developers tackle algorithmic, optimization, and scalability challenges across all our initiatives.

Merge stands at the forefront of innovation, delivering cutting-edge tools and customer-centric integrations tailored for emerging LLMs, Fortune 500 corporations, and B2B SaaS enterprises. Our platform encompasses two primary offerings: Merge Unified, which allows organizations to seamlessly incorporate a multitude of integrations through a single API, and Merge Agent Handler, which equips AI agents with secure access to a wide array of third-party tools. Trusted by thousands, Merge's enterprise-level platform streamlines the entire integration lifecycle, ensuring robust authentication, security, monitoring, and maintenance. Our solutions empower companies to accelerate product development, enhance sales efficiency, minimize customer churn, and conserve engineering resources, enabling them to concentrate on their core offerings. Key Responsibilities:Lead discussions on roadmapping and architectural strategies.Develop high-quality, production-ready, and maintainable code.Steer Merge's most significant projects from conceptualization to deployment.Support and empower your team, including engineers, designers, product managers, and business operators.Ideal Candidate Profile:7+ years of professional software engineering experience.Proficiency with frameworks such as Django, Rails, or Spring.In-depth understanding of SQL databases, preferably Postgres.Projects You May Engage In:Scaling Core Systems: Identify and resolve performance bottlenecks in our data syncing engine, lead large-scale migrations to more efficient technologies and storage solutions, and drive initiatives to enhance system throughput.Product Innovation: Design adaptive syncing paradigms that facilitate advanced customization across model normalization, scheduling, data filtering, and API rate limit management.New Revenue Streams: Collaborate on the development of features that open new avenues for revenue generation within the platform.

MidiHealth is seeking a Senior Software Engineer to join the Platform Engineering team. This hybrid role is based in the SF Bay Area and centers on building and enhancing the software that drives MidiHealth’s healthcare technology platform. The work contributes directly to improving patient outcomes through technology. Key responsibilities Design and develop software solutions for the core platform Collaborate with engineering, product, and cross-functional teams to deliver integrated features Support the reliability and scalability of the platform Location This position requires regular on-site work in the SF Bay Area as part of a hybrid schedule.

About NeonNeon is an innovative global payments and e-commerce platform dedicated to empowering game publishers with greater financial autonomy and independence from traditional app stores. We advocate for open and transparent commerce: providing our partners with clear decision-making processes, actionable insights, and aligned incentives. Founded by industry veterans with extensive backgrounds in payments, fintech, and gaming, Neon prioritizes excellence in product development and partnerships. We collaborate closely with our clients, sharing insights, navigating decisions, and minimizing risks and complexities. Our mission is to replace outdated systems with clear, modern, and developer-focused infrastructure.As an early member of our team, you will play a pivotal role in shaping and scaling Neon’s products and cultural ethos, directly influencing our growth and success. You’ll be part of a diverse, collaborative team comprised of talent from esteemed organizations such as Apple, Affirm, Unity, and Visa. Backed by prominent venture capitalists like Thrive, a16z, Griffin Gaming, Ribbit, and Renegade, we invite you to join us in building disruptive technology that challenges the status quo and empowers game creators to thrive on their own terms.About the RoleWe are on the lookout for a Senior Software Engineer to lead the development of one of our crucial workstreams. As a design-oriented engineer, you will transform innovative concepts into functional, aesthetically pleasing products on a blank canvas. Your contributions will span the full technology stack, as you engage hands-on in building and scaling a core product that enhances financial independence for game developers.What You’ll DoCreate and maintain both front-end and back-end components of our platform.Work collaboratively with product leaders, designers, and other engineers to define, design, and deliver new features.Ensure that all features are scalable, performant, secure, and user-friendly.Write clean, maintainable, and efficient code, engage in code reviews, and uphold comprehensive documentation.What We Look ForMinimum of 5 years of software engineering experience.Proficient in full-stack development with a strong emphasis on React and TypeScript.A passion for continuous learning and adaptability across the technology stack as the team evolves.Highly productive, demonstrating ownership of key initiatives and delivering impactful results.Experience in leading teams or projects and a passion for mentoring others to enhance their skills.Willingness to work from our San Francisco or New York City offices.Join Neon and be a part of our journey!