Staff Software Engineer - AI Research Infrastructure

Join Databricks as a Staff Software Engineer focused on AI Research Infrastructure. In this pivotal role, you will contribute to the development of cutting-edge AI technologies that push the boundaries of innovation. Collaborate with a team of experts to design and build scalable solutions that empower organizations to harness the full potential of AI.

Our MissionAt Reflection AI, we are dedicated to creating open superintelligence that is accessible to everyone.Our innovative team is developing open weight models tailored for individuals, agents, enterprises, and even nation states. Our group of AI researchers and industry pioneers hail from top organizations including DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.Your Role's MissionAs a crucial member of our team, you will play a pivotal role in bridging the divide between research and production by converting advanced algorithms into scalable training systems. Your expertise will help design and optimize the foundational infrastructure that supports cutting-edge AI models — including reinforcement learning training loops, distributed GPU training, and extensive data pipelines.Our systems are engineered to train models across thousands of GPUs while managing petabyte-scale datasets. We prioritize numerical stability, high throughput, and reproducibility in our processes.Team OverviewThis team is responsible for the evolution and management of the core infrastructure that underpins our training systems.Our focus areas include:Reinforcement learning training infrastructureDistributed training and inference systemsExperiment infrastructure and reproducibilityLarge-scale data pipelinesOur goal is to construct an engineering foundation that enables researchers to iterate swiftly while training models at a massive scale.Role OverviewYou will be responsible for architecting and optimizing the core training infrastructure that powers our models, including RL training loops, distributed GPU systems, and large-scale data pipelines.Collaborating closely with researchers, you will assist in transforming innovative ideas into reliable, scalable training systems.Key Responsibilities:Design and optimize large-scale training loops and data pipelines.Implement cutting-edge techniques while ensuring numerical stability and computational efficiency.Develop internal tools for launching, monitoring, and reproducing complex experiments.Identify and resolve deep bottlenecks across the training stack (e.g., GPU memory issues, communication overhead, dataloader stalls).Translate research prototypes into reusable, production-grade infrastructure.

Why Join Moonshot AI?Envision a web that autonomously transforms itself to enhance sales, improve conversions, and accelerate growth.At Moonshot AI, we’re pioneering this future by integrating generative AI, extensive data processing, and innovative experimentation into a self-adaptive online ecosystem.As a well-capitalized, early-stage startup with grand ambitions, your role here transcends that of a typical employee — you’ll actively contribute to shaping the company’s technical and cultural foundation. If you've ever aspired to have the freedom of a founder while being supported by elite investors, this opportunity is for you.What You'll Create & LeadIn the position of Staff Software Engineer, you will serve as the technical cornerstone of Moonshot's evolution engine, responsible for designing scalable systems, steering engineering strategy, and mentoring your colleagues.Your work will blend hands-on expertise with high-level architectural insight, transforming visionary ideas into technical realities.You will:Innovate at the forefront of generative AI - develop systems that empower AI to autonomously reason, experiment, and implement tangible changes to the web.Architect the next generation of our experimental engine - ensuring it is scalable, observable, fault-tolerant, and capable of handling millions of daily events.Design and advance our backend infrastructure utilizing Python (Flask-RestX), serverless AWS, and various data pipelines (ClickHouse, Postgres, Kinesis, Firehose, S3).Lead technical strategy - establish our engineering principles and evolve the architecture across microservices, data ingestion, and LLM-driven systems.Mentor and uplift - enhance the skills of senior and mid-level engineers through code reviews, collaborative programming, and detailed design documentation.Collaborate across teams - partner with AI, product management, and data science to translate business objectives into robust systems.Prototype and expand boundaries - rapidly bring concepts to production while balancing experimentation with thoroughness.Enhance performance, security, and reliability as we scale towards SOC 2 certification and enterprise clientele.This role emphasizes technical leadership without the responsibilities of people management: pure design, significant leverage, and complete ownership.

Anthropic is hiring a Staff Software Engineer to focus on Node Infrastructure. This position is based in San Francisco, New York City, or Seattle. Role overview This role centers on designing, building, and maintaining the core systems that support Anthropic’s services. The work directly affects the reliability and scalability of the company’s AI offerings. Collaboration Work closely with a skilled engineering team to develop infrastructure that supports high-quality AI solutions. The team values input and hands-on problem solving from every member. Impact Efforts in this role help ensure Anthropic’s services remain stable and can grow as demand increases. The systems you help create will play a key part in the company’s ability to deliver dependable AI products.

At Confido, we are revolutionizing the AI infrastructure that drives Consumer Packaged Goods (CPG) brands from analysis to execution. Our integrated platform streamlines cash applications, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics, delivering significant time savings and enabling more intelligent financial decisions for our clients.We proudly support over 200 brands managing more than $20 billion in revenue, partnering with notable names such as OLIPOP, Simple Mills, and Dr. Squatch. With a recent $15 million Series A funding round led by Footwork Ventures and Y Combinator, we are poised for rapid growth and innovation.As a Staff Software Engineer, you will be instrumental in architecting and developing the core systems that drive the Confido platform. You will spearhead significant product and infrastructure projects, from AI-driven document processing to extensive financial analytics systems.This role offers a unique opportunity to merge technical excellence with impactful product development, collaborating closely with engineering, product teams, and clients to transform intricate operational workflows into scalable software solutions.Location: New York, NY (Relocation assistance available)

At Profound, we are dedicated to empowering businesses to comprehend and manage their AI presence effectively. As an Infrastructure Software Engineer, you will play a pivotal role in building and scaling the systems that facilitate our rapid expansion. Your primary focus will be on ensuring that our infrastructure is not only highly available but also cost-efficient and capable of managing significant traffic and compute demands. You will collaborate closely with engineers across product, research, and operations teams to design scalable architectures, streamline deployment processes, and enhance system observability.Your ResponsibilitiesDesign and maintain core infrastructure across diverse cloud environments.Develop infrastructure-as-code workflows to automate deployment and scaling processes.Enhance monitoring, logging, and alerting systems to ensure system reliability.Oversee CI/CD pipelines to facilitate seamless deployments.Assist in disaster recovery planning to guarantee high system availability.Collaborate with product and research teams to design architectures that can scale with increasing workload demands.Identify and resolve performance bottlenecks in compute, storage, and networking.Implement security best practices and compliance frameworks across the infrastructure.

Role overview Decagon seeks a Staff Research Engineer based in New York City. This position helps guide research efforts and supports the development of technical solutions that serve a range of industries. The Staff Research Engineer works alongside a skilled team, taking projects from early ideas through to working implementations. What you will do Advance research initiatives at Decagon through direct engineering contributions Collaborate with team members to design and build new technical solutions Apply technical expertise to projects that impact several sectors Requirements Solid background in both research and engineering Interest in tackling complex technical problems Strong collaborator who values team-based problem solving

Join the Revolution at CheckAt Check, we transform the way people get paid, simplifying payment processes for payroll businesses. As pioneers of embedded payroll, we collaborate with our partners to redefine payroll systems, enabling businesses to launch, grow, and flourish. Discover our journey | Listen in.Check is more than just an API infrastructure; we serve as a launchpad for payroll businesses.Our TeamPayroll systems are in need of innovation. Join a passionate team dedicated to solving these challenges! At Check, your problem-solving skills, critical thinking, and determination will drive impactful changes across our projects. We view challenges as opportunities and encourage collaboration that leverages the unique strengths of every team member.If you are ready to dive in and reshape payroll, let’s work together to simplify complexities and create a brighter future for businesses of all sizes.The RoleEngineering is the backbone of Check. We envision payroll as part of modern financial software, which necessitates robust systems that our operators and partners can rely on. Every solution we develop is built on reliable, scalable, and secure systems that ensure timely payments.We are in search of a Staff Software Engineer who possesses strong software design expertise coupled with hands-on infrastructure experience. In this position, you will enhance the core systems that enable payroll operations, focusing on scalability, production efficiency, and empowering engineers with reliable tools for software deployment.You'll collaborate across product and platform teams to advance our cloud infrastructure, enhance system deployment and monitoring, and simplify the architecture underpinning embedded payroll. Your challenges will often bridge the domains of infrastructure, product, and operations.This role is perfect for individuals who have managed complex systems in dynamic environments and take pride in creating resilient, understandable infrastructure that is essential for business operations.

About CampusCampus is transforming the landscape of higher education with a bold mission: to accelerate the development of tomorrow's talent and redefine the college experience for today’s aspiring students. As college expenses soar, the outcomes remain stagnant, leaving students in a lurch. We believe that traditional education must evolve to meet the ambitions of modern learners who cannot afford to wait.At Campus, we offer a cutting-edge, accredited two-year college program where students engage with esteemed professors from top-tier universities such as Princeton, Stanford, and Howard through dynamic, live online classes. Our graduates emerge equipped with essential business and AI skills, prepared to embark on their careers or transfer to prestigious four-year institutions. Our innovative approach is built upon a state-of-the-art technology platform and a meticulously researched model of student success that ensures each learner receives personalized guidance and on-demand academic support. We are honored to be recognized as one of Fast Company's Most Innovative Companies of 2024.Supported by an exceptional group of investors who share our passion for the future of education—including General Catalyst, Founders Fund, Bloomberg Beta, 8VC, Rethink Education, and notable figures like Sam Altman and Shaquille O’Neal—we are poised to lead the charge in educational innovation.As the landscape of higher education evolves, we are at the forefront of change. Join us in shaping the future!About the RoleWe are in search of a Senior Staff AI Research Engineer who is passionate about making Campus the leading organization in AI-driven learning. This pivotal role calls for extensive technical expertise in machine learning and a fervor for creating innovative systems that enhance and personalize the student experience. You will spearhead research initiatives, develop production-ready AI features, and contribute to scholarly publications that push the boundaries of AI in education.Your Journey with Us Will Involve:Designing and developing groundbreaking AI systems to enrich the Campus learning experienceConducting thorough experiments to validate the efficacy of these systems...

Standard Template Labs is an innovative startup operating in stealth mode, dedicated to revolutionizing IT Service and Configuration Management through AI technologies. Supported by prominent investors, we are at the forefront of integrating AI, graph-based architectures, and cutting-edge design to transform enterprise technology management.About the Role:We are seeking a Staff Software Engineer who excels at the crossroads of AI systems design, large-scale distributed infrastructure, and product innovation. In this role, you will spearhead technical projects that manifest AI-native functionalities—developing resilient, scalable systems that incorporate LLMs, data-driven automation, and graph intelligence into enterprise processes.This position is ideal for a hands-on leader who is not only proficient in coding but also adept at mentoring others and shaping technical strategies in an AI-centric environment.Key Responsibilities:AI-Driven Systems EngineeringCraft and implement AI-native architectures that integrate LLMs and intelligent automation into ITSM and CMDB workflows.Utilize LLMs, embeddings, and retrieval pipelines to enhance natural language interfaces, knowledge synthesis, and reasoning within our platform.Collaborate with product, design, and data teams to embed AI throughout the product experience—from backend systems to user-facing features.Technical OwnershipTake end-to-end ownership of intricate systems: design, architecture, deployment, and reliability in production.Navigate architectural choices while balancing immediate performance with long-term scalability and sustainability.Contribute to defining our AI-first engineering stack and methodologies for prompt orchestration, model integration, and continuous learning.Hands-On EngineeringDevelop clean, scalable, and testable code that pushes the boundaries of AI-enabled systems.Design and enhance distributed, event-driven systems and APIs capable of handling data and inference at scale.Perform in-depth code reviews and optimize performance across high-traffic production environments.

CVector is dedicated to revolutionizing economic optimization and AI-driven predictions across energy and manufacturing sectors.Our technology seamlessly integrates critical decision-making factors that impact cost, reliability, and profit margins, providing a unified decision layer that forecasts future scenarios, simulates potential outcomes, and optimizes operational strategies. This allows industrial plants to operate closer to their maximum economic potential daily.This position requires in-office attendance at our New York City headquarters four days a week. CVector serves clients nationwide and operates in challenging industrial environments.Role OverviewAs a Senior Software Engineer specializing in Backend and AI Infrastructure, you will be instrumental in advancing CVector’s backend platform. Your focus will be on developing time-series data systems, AI-enhanced analytics, cloud infrastructure, and data ingestion pipelines that underpin our client-facing applications and internal modeling tools.This role is ideal for engineers who thrive on working closely with data and infrastructure, possess excellent architectural judgment, and are eager to engage with AI systems, databases, and distributed backend services. You will take ownership of complex systems, lead significant technical migrations, and influence the integration of intelligence into industrial energy workflows.You will work in close collaboration with product, modeling, and frontend engineers, significantly impacting the platform's direction, reliability, and scalability for the long term.Key ResponsibilitiesAs a Senior Software Engineer, your contributions will span various interconnected domains:Intelligent SystemsTranslate customer domains and operational workflows into effective prompts and AI system interfaces.Design, implement, and refine evaluations for AI outputs.Incorporate customer feedback and reinforcement signals to enhance system performance.Optimize context selection, retrieval, and trace collection to elevate output quality.Fine-tune smaller models using collected traces to enhance speed while maintaining performance standards.Evaluate and assimilate new AI platforms and models as they emerge.Support the training and deployment of large, time-series-specific models.Backend Platform and Data InfrastructureOversee migrations and enhancements of our time-series data schemas and storage systems.Update and manage PostgreSQL and associated database infrastructure.Develop and sustain data connectors for industrial and external systems.Lead improvements to MQTT-based data ingestion pipelines.Transition PostgREST to a GraphQL-based framework and evolve our API architecture.

Scribd, Inc. brings together products like Scribd®, Slideshare®, Everand™, and Fable, all focused on moving people beyond basic access to information toward deeper understanding and hands-on expertise. Workplace Culture Authenticity and bold thinking shape daily work at Scribd. The team values open debate, welcomes fresh challenges, and keeps customer needs central to decisions. Through the Scribd Flex program, employees enjoy a blend of remote work and intentional in-person gatherings. While most tasks happen remotely, occasional onsite meetings help strengthen collaboration and community ties. Scribd seeks individuals who demonstrate “GRIT”: passion and perseverance in pursuit of long-term goals. This mindset guides how teams set objectives, deliver on commitments, and solve problems together. Developer Tooling Team This group designs and maintains the tools, frameworks, and platforms that support Scribd’s engineers throughout the software development lifecycle. Their work includes updating infrastructure, refining build and deployment processes, and introducing collaborative AI features that enable developers to work with AI agents. These efforts directly improve productivity and enhance the developer experience across the company. Role overview The Staff Software Engineer for the AI Developer Platform plays a key role in shaping how Scribd approaches software development in an AI-first environment. This position sets the technical direction for the agentic engineering platform, guiding hundreds of engineers as they use coding agents to write, review, and deploy code across Scribd’s technology stack. The role also focuses on improving the development environment to enable effective collaboration between AI agents and human engineers. Developing the agentic engineering strategy requires close partnership with senior leadership to ensure alignment with company goals.

Join Anthropic as a Staff Infrastructure Engineer focused on Cluster Infrastructure. In this role, you will have the opportunity to shape the future of AI by building and maintaining robust infrastructure systems that support our cutting-edge technologies. You will collaborate with a talented team of engineers to design scalable solutions, optimize performance, and ensure reliability across various platforms.

Traba connects industrial businesses with thoroughly vetted workers, aiming to make workforce management more efficient and dependable. The company focuses on orchestrated multi-agent AI workflows to optimize supply chain operations. Investors include Founders Fund, Khosla Ventures, and General Catalyst. This Staff Software Engineer role is part of Traba’s founding team in New York City. The position focuses on backend services and platform development, with a direct line to the CTO. This engineer will help set the technical direction and build systems that support Traba’s long-term growth. What you will do Design and develop core backend services and platform components Collaborate with the CTO on architectural decisions and technical strategy Contribute to defining and refining the product and technology roadmap Build foundational systems to enable Traba’s scaling and future expansion

At PermitFlow, we are transforming the construction landscape in America through the power of applied AI. Our innovative platform addresses a critical challenge in the construction industry: determining what can be built, where, and how. Our intelligent AI agents empower leading construction firms to efficiently manage permitting, licensing, inspections, and project closeouts, thereby accelerating the development of housing, clean energy, and infrastructure nationwide.Despite the construction sector's massive $1.6 trillion size, it often faces significant delays, capital wastage, and missed opportunities. PermitFlow has already enhanced the speed, accuracy, and transparency of over $20 billion in projects, enabling contractors to streamline compliance processes, mitigate project risks, and scale operations with greater assurance.As the U.S. embarks on a new capital expenditure supercycle encompassing data centers, manufacturing facilities, residential projects, and renewable energy, joining PermitFlow means contributing to the foundational AI infrastructure that will power a new era of industrialization.With over $90 million raised, including our recent Series B funding round, we are backed by prestigious investors such as Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, alongside influential leaders from OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.Our headquarters are located in New York City, where we operate on a hybrid work schedule (3 days in-office per week). We are particularly interested in candidates based in NYC or those willing to relocate.

About UsAt Percepta, we are dedicated to revolutionizing vital sectors through the power of applied AI. Our goal is to ensure that key industries such as healthcare, manufacturing, and energy harness the benefits of cutting-edge technology.We partner with leading organizations to facilitate AI transformation, providing:Expertise in engineering, product development, and researchMosaic, our proprietary toolkit designed for the swift deployment of intelligent architecturesStrategic alliances with notable entities like Anthropic, McKinsey, AWS, and the General Catalyst portfolioOur team is a dynamic collective of Applied AI Engineers, Embedded Product Managers, and Researchers driven by the mission to integrate advanced AI into the systems that shape our world.Percepta is a proud partner of General Catalyst.Role OverviewWe are on the lookout for an AI Infrastructure Engineer who will be responsible for the infrastructure, deployment, and operational reliability that underpin Percepta's AI systems, including the autonomous agents driving our innovations.Your role will involve enhancing existing systems: refining our Terraform configurations, fortifying deployment pipelines, and implementing more robust management of infrastructure across various regions and providers. You will also be tasked with constructing missing components and exploring uncharted territories, defining what Site Reliability Engineering (SRE) means in the context of autonomous decision-making systems.The infrastructure paradigms for future autonomous systems are yet to be established, and you will play a crucial role in shaping them.What Sets This Role ApartYou will be working with autonomous systems, where the infrastructure dynamics shift significantly when workloads have agency.Observability entails understanding the rationale behind an agent's decisions, not merely checking the health of a pod.There is a tangible gap between research and production in our environment. Our teams transition optimization algorithms and AI systems from research settings to production, and you will be integral to this process. While MLOps experience is not mandatory, you will be closer to this boundary than most infrastructure roles.Join a small team with significant ownership. You will make foundational decisions rather than inherit pre-existing ones.Your ResponsibilitiesDesign infrastructure patterns for multi-agent systems that are observable, controllable, and recoverable in innovative ways.

About UsAt Adaptive, we are pioneering the future of real estate and construction with our innovative AI-native ERP solutions. As a rapidly expanding vertical AI company based in New York City, we have successfully attracted over 600 customers and secured $26 million in funding from top-tier investors including Emergence, a16z, and several prominent angel investors from leading companies such as Brex, Ramp, and Shopify.Why Join Our Team?Empower Local CommunitiesWe support the small businesses that are transforming our neighborhoods—whether it’s your favorite local café, the new home on the block, or the accessory dwelling units that help address the housing crisis. Our customers are passionate, skilled individuals who breathe life into their communities through their craft.Be at the Forefront of InnovationJoin us in a collaborative environment where your contributions are valued. Our team, composed of experts in finance, technology, and construction, is dedicated to driving success in a vast market. With our vision and momentum, we’re excited to have you on board!Your RoleWe are thrilled to announce an opening for a Staff Software Engineer at Adaptive! Your technical acumen will play a pivotal role in steering our engineering initiatives and ensuring the delivery of top-notch software solutions.Reporting directly to the VP of Engineering, you will collaborate closely with a talented team of 15 engineers and product specialists, focusing on the architecture, development, and optimization of our cutting-edge products.Key ResponsibilitiesDrive the successful execution and delivery of product priorities in partnership with the product and design teams.Lead the architectural design and technical strategy of our software, ensuring it is scalable, efficient, and secure.Align technical solutions with our business objectives and product vision.Facilitate technical discussions and decision-making processes in line with company goals and technology strategy.Mentor and nurture a team of engineers, instilling a culture of technical excellence and continuous improvement.

About DecagonDecagon stands at the forefront of the conversational AI revolution, enabling brands to provide exceptional concierge-level customer experiences. Our cutting-edge technology empowers renowned enterprises such as Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to implement AI-driven agents. These agents facilitate personalized interactions across all communication channels including voice, chat, email, and SMS.Our vision is to transform the landscape of customer interactions, moving beyond traditional support tickets and hold music toward expedited resolutions, enriched conversations, and stronger relationships. We are proudly supported by prestigious investors such as a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, all of whom share our ambitious vision.As an in-office company, we thrive on a collective commitment to excellence and speed. Our core values—Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle—guide our collaborative efforts and professional growth.About the TeamThe Infrastructure team is responsible for designing and maintaining the essential frameworks that drive Decagon’s operations, including networking, data management, machine learning serving, developer platforms, and real-time voice communication. We collaborate closely with product, data, and machine learning teams to create high-scale, low-latency systems that meet stringent service level objectives and offer exceptional developer experience.Our team focuses on five critical areas:Core Infrastructure: Our foundational cloud architecture encompasses networking, computing, storage, security, and infrastructure-as-code, ensuring reliability, scalability, and cost-effectiveness.Data Infrastructure: We develop streaming and batch data platforms that drive analytics and business intelligence while enabling customer-facing telemetry for both customer-managed and on-premises environments.Machine Learning Infrastructure: Our platforms support GPU and model serving for large language model inference, featuring multi-provider routing and capabilities for on-premises or air-gapped deployments.Developer Experience Platform: We focus on continuous integration and deployment (CI/CD), streamlined processes, and essential services that facilitate fast, safe, and consistent shipping across teams.Voice Infrastructure: Our telephony and WebRTC stack ensures ultra-low-latency, high-quality voice communication, supported by comprehensive observability.Our mission is to deliver extraordinary support experiences where AI agents collaborate with human operators to resolve challenges swiftly and accurately.About the RoleWe are seeking a Senior Infrastructure Engineer who will play a pivotal role in shaping our infrastructure landscape and enhancing the efficiency and performance of our systems.

About SecurityScorecard: SecurityScorecard is the premier authority in cybersecurity ratings, continually assessing over 12 million companies across 64 countries. Established in 2013 by cybersecurity pioneers Dr. Alex Yampolskiy and Sam Kassoumeh and backed by top-tier investors, our innovative rating technology is utilized by more than 25,000 organizations for self-assessment, third-party risk management, board reporting, and cyber insurance underwriting. Our mission is to enhance the resilience of organizations by simplifying the identification and remediation of cybersecurity vulnerabilities throughout their digital landscape. Based in New York City, our workplace culture has earned accolades from Inc Magazine as a "Best Workplace," and recognition from Crain’s NY as one of the "Best Places to Work in NYC." We are proud to have been listed among the 10 hottest SaaS startups in New York for two consecutive years. Recently, SecurityScorecard was featured on Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and received the Achievers 50 Most Engaged Workplaces award in 2023, highlighting our commitment to employee engagement. We are grateful for the support of our esteemed investors, including Silver Lake Waterman, Moody’s, Sequoia Capital, GV, and Riverwood Capital.