Lead Staff Software Engineer - AI Systems

Hudson River Trading (HRT) stands as a premier quantitative trading and investment firm, renowned for our innovative strategies across multiple asset classes. At the heart of our achievements is our powerful compute cluster, the backbone of our trading strategies that continuously evolve and excel.We invite creative and analytical minds to join our team as a Storage Developer. In this pivotal role, you will enhance the data storage libraries and tools utilized by our Research teams, driving the development of state-of-the-art trading strategies. Your journey will involve deep exploration of C++ and advanced storage solutions, all while working at scale to facilitate groundbreaking research. Collaborate with a team of talented developers who are eager to push the limits of technology and make a significant impact.

Standard Template Labs is a visionary startup operating in stealth mode, dedicated to revolutionizing IT Service and Configuration Management through the power of AI. Supported by esteemed investors, we are utilizing cutting-edge AI technologies, graph-based architecture, and superior design to redefine how enterprises interact with their technology ecosystems.About the RoleAs we expand our SaaS platform to accommodate increasingly intricate enterprise environments, the significance of our graph-based data architecture is growing. We seek a Senior Software Engineer with extensive expertise in developing and scaling graph-centric, multi-tenant data systems for large-scale SaaS applications.In this pivotal role, you will be responsible for advancing our graph data tier—designing high-performance, secure, and scalable graph models and storage strategies that facilitate complex relationships, deep querying capabilities, and insightful analytics across multiple tenants.This hands-on, impactful position will allow you to influence the technical framework of how we represent, store, navigate, and analyze interconnected enterprise data at scale.Key ResponsibilitiesGraph Data ArchitectureArchitect, refine, and optimize our multi-tenant graph data model, encompassing node/edge schema design, relationship modeling, partitioning, and traversal strategies.Establish and implement tenancy models for graph storage—balancing shared-graph versus tenant-isolated subgraphs, hybrid partitioning, or database-per-tenant graph deployments.Create robust data architecture for graph sharding, indexing, and high-throughput traversal, ensuring rapid response times for queries as the complexity and size of the topology expands.Backend & Data Layer EngineeringDevelop backend services that extensively interact with data stores, including APIs, data access tiers, ingestion workflows, and graph mutation/query pipelines.Enhance query performance through indexing enhancements, caching strategies for subgraphs, optimized traversal patterns, and distributed graph execution.Multi-Tenancy & Platform ScalabilityLead the strategic decisions surrounding multi-tenant graph architecture including tenant boundaries, access control models, resource isolation, and performance equity.Implement tooling for tenant onboarding, migrations, provisioning, graph expansion, and lifecycle management.Collaborate with cross-functional teams to ensure the successful integration of graph data architecture into our SaaS platform.

At Tiger Data, previously known as Timescale, we are dedicated to empowering developers and businesses with the fastest PostgreSQL platform, expertly crafted for transactional, analytical, and agentic workloads. Trusted by thousands of organizations worldwide, Tiger Data accelerates real-time insights, drives intelligent applications, and supports critical infrastructure at scale. Our globally distributed, remote-first team is committed to direct communication, accountability, and collaborative excellence, as we shape the future of data infrastructure designed for speed, flexibility, and simplicity.We are on the lookout for exceptional database engineers to join our dynamic team. In this role, you will design, code, and test the core components of our PostgreSQL-based database. Our focus is on building a scalable, reliable, robust, user-friendly, secure, and high-performance database. Strong systems-building experience and expertise in C are essential, along with a solid understanding of query optimization and database systems. Ideally, you will have existing PostgreSQL expertise or demonstrate a keen interest and aptitude to become an expert.This position is fully remote and full-time.Key Responsibilities:Contribute significantly to the design and development of new database capabilities, including analytics, clustering, distributed operations, query, and storage optimizations.Develop, test, and launch new features and functionalities from our database technical roadmap.Continuously enhance, optimize, and test the existing features of TimescaleDB.Enhance infrastructure for evaluating and testing database correctness and performance.Collaborate closely with our Cloud Engineering team to deliver a world-class experience for our Tiger Data customers.Provide high-level technical support to valued customers, gaining insights into their needs and experiences.Be a collaborative and approachable teammate, engaging in code reviews and supporting fellow engineers.Ideal Candidate Profile:5+ years of engineering experience.Proven expertise in building industrial-strength software in C/C++ for large codebases.Experience with PostgreSQL internal development is highly desirable but not a strict requirement.Strong understanding of SQL, query processing, database engines, concurrency control, data replication, and/or distributed systems.A genuine passion for building exceptional database solutions.

Position OverviewWe are seeking a talented Distributed Systems Engineer to join our innovative team at Moment. This role is instrumental in developing cutting-edge trading and portfolio management solutions.Quick FactsRole: Distributed Systems EngineerLocation: 5 days/week @ NYC HQBase salary: $200K to $325KEquity: Aggressive initial grant + annual performance-based bonusesAbout MomentFounded in 2023 by a distinguished group of quant traders and researchers from Citadel and Jane Street, Moment is dedicated to delivering next-generation trading and portfolio management technology. Our sophisticated product suite features high-throughput market data pipelines, automated smart order routing algorithms, real-time portfolio ledgering, and position tracking, alongside high-cardinality portfolio optimization. With over $100M raised from top-tier investors like Andreessen Horowitz, Index Ventures, and Lightspeed Venture Partners, we empower financial institutions managing assets exceeding $8 trillion.

Our VisionAt Reflection AI, we are dedicated to the mission of creating open superintelligence and ensuring it is accessible to everyone. Our team is committed to developing open weight models that cater to individuals, agents, enterprises, and even nation-states. Our diverse group of AI researchers and innovators hail from esteemed organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.Foundational ObjectivesVision:We aim to establish and manage a company-wide foundational platform that enhances every team’s productivity by delivering dependable, scalable developer infrastructure, site reliability engineering capabilities, and high-throughput data ingestion tools—empowering Reflection AI to progress swiftly as we expand.Team ResponsibilitiesOur team is responsible for constructing and managing essential shared services that fuel our research, training, and production environments. These systems form the backbone that supports various teams in model development, deployment, and evaluation, integrating data, compute, and workflow management while facilitating rapid experimentation and robust production systems.Design and manage shared services that multiple teams utilize across research and production workflows.Establish and maintain reliability targets through Service Level Indicators (SLIs), Service Level Objectives (SLOs), and effective on-call practices.Ensure operational readiness through comprehensive runbooks, incident playbooks, and capacity planning.Guarantee correctness and performance under load, addressing issues like consistency, tail latency, and failure modes.Create APIs, SDKs, and internal platforms that support high-velocity experimentation and iteration.Minimize operational burden through enhanced tooling, standardization, and scalable platform patterns across teams.Technologies You'll Engage WithContainer Abstractions: Containers-as-a-Service, Kubernetes abstraction layers, container orchestration, reproducible environments, multi-tenant isolation.Distributed Systems Architecture: Sharding, replication, coordination services, high-concurrency systems, concurrency control.Service Development Stack: gRPC, Protobuf, Go, Rust, C++.Reliability & Performance: Idempotency, retries, backpressure, SLI/SLO design, tail latency optimization, service reliability engineering.Your ProfileWe are looking for a talented individual with a solid background in distributed systems and a passion for building scalable solutions.

About PineconePinecone is a pioneering vector database that empowers developers to create precise and high-performing AI applications at scale. Our mission is to enhance AI's knowledge capacity, enabling over 9,000 customers across diverse industries to launch AI solutions swiftly and confidently using our user-friendly technology. Headquartered in New York, we have successfully raised $138 million in funding from esteemed investors including Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.About the Team and Role:Become a vital part of a dedicated team focused on designing and constructing resilient, real-time distributed systems for an innovative database. Our values center on performance, reliability, scalability, continuous learning, and fostering a fun working environment. Whether you are an experienced programmer or just starting your journey, your enthusiasm for technology and eagerness to learn will make you a great fit.Who We Are:We come together to collaborate and innovate technologies that make a meaningful impact, surrounded by individuals who truly care.We prioritize enhancements in areas like tail latencies, byte throughput, cache hit rates, and overall operational efficiency.We believe in continuous learning and that even the most intricate challenges can have straightforward solutions.What You’ll Do:Collaborate with team members to design and develop database features that drive AI applications.Learn how to optimize performance and ensure reliability within distributed systems (we'll provide guidance along the way).Assist in maintaining Pinecone's smooth operation on leading cloud platforms.Take charge of your projects and enhance your skills on a daily basis.Have fun while you work!Who You Are:5+ years of professional experience in programming languages such as Rust, Go, C++, or similar.You possess a genuine curiosity about distributed systems and are eager to tackle complex technical challenges.You approach problems with creativity and determination, comfortable in seeking feedback and asking insightful questions.You are enthusiastic about learning, value constructive criticism, and appreciate mentorship.Bonus Points:Hands-on experience with cloud providers such as AWS or GCP is a plus.

Role overview The City of New York needs a Database Engineer to manage and improve large-scale database systems. This position centers on keeping databases reliable and supporting data quality, performance, and security across city departments. What you will do Maintain and optimize complex databases that support city operations Collaborate with teams from various departments to address project and data requirements Support efforts to keep data accurate, secure, and available as needed Location This role is based in New York City.

Your OpportunityJoin our innovative team at LM Studio as a Software Engineer specializing in AI/ML Systems. We seek a dynamic individual who thrives at the crossroads of machine learning and systems engineering, enjoys tackling complex challenges, and is dedicated to crafting exceptional products.In this role, you will be responsible for developing and enhancing on-device inference engines and integrations for local large language models (LLMs) and advanced AI technologies within LM Studio. You will design and maintain the runtime that facilitates on-device model inference, provide immediate support for new models on launch day, and optimize performance across diverse hardware setups.Collaboration is key here. You will engage closely with model authors and upstream open-source communities (such as llama.cpp, MLX, and others) to ensure that LM Studio users access cutting-edge AI experiences.If you're passionate about bridging the gap between models and systems and care about delivering outstanding local AI-powered experiences for both users and developers, this position could be your next great adventure!

About BlacksmithAt Blacksmith, we revolutionize CI workload infrastructure, delivering unparalleled speed and cost-effectiveness through our proprietary fleet of global bare-metal machines, which eliminates the need for generic cloud VMs.We successfully orchestrate tens of millions of Firecracker VMs monthly, supporting over 1,200 companies while achieving approximately $10 million in annual recurring revenue in under two years.Our operations span thousands of bare-metal machines across various regions, managing a petabyte-scale Ceph cluster and consistently scheduling over 30,000 vCPUs concurrently.Backed by $13.5 million in funding from notable investors such as Google Ventures (GV), we are focused on cultivating a small yet exceptional team.Founded by experts with extensive experience in systems and scaling, including roles at Faire and Cockroach Labs, we are expanding our CI infrastructure into a comprehensive platform that includes running agent sandboxes at scale and developing our own background coding agent.

About the Team The Server Security team at MongoDB, Inc. is part of the core engineering group, focused on advancing database user security at a global level. Based in New York City, this team designs and builds security features that support MongoDB’s distributed database platform. What You Will Work On Cryptography: Implement Queryable Encryption, at-rest data encryption, and core cryptographic features. For more details on Queryable Encryption, see the MongoDB documentation. Identity & Access: Design authentication and authorization systems, manage TLS, and work with X.509 certificates. Network Security: Develop networking protocols that are both high-performance and low-latency, including PKI, Hashing, and Certificate Revocation Lists (CRLs). System Integrity: Build features that support resilience, observability, and compliance for large-scale distributed systems. Team Culture MongoDB values inclusivity, diversity, and collaboration. The Server Security team applies distributed systems principles to deliver essential features for application developers, system architects, and database operators.

About Standard BotsAt Standard Bots, we are on a mission to transform the landscape of real-world automation by significantly reducing barriers to entry. We empower industries and users to harness the potential of automation through user-friendly applications and APIs. Our commitment to simplicity and user experience is at the core of our revolutionary approach, enabling anyone to tackle challenges without needing expertise in robotics or automation.Your Role:We are seeking a Senior Software Engineer to design and develop the foundational manufacturing systems that drive our operations. This includes systems for MRP, MES, inventory management, work orders, and production tracking, all seamlessly integrated with our robotic arms.In this role, you will create software that orchestrates physical production workflows, bridges digital systems with real-world hardware, and guarantees reliability, traceability, and operational excellence throughout our manufacturing processes.

Join MongoDB’s innovative Storage Layer Services (SLS) team as we redefine the MongoDB cloud storage layer. This dynamic team is at the forefront of developing high-performance, multi-tenant distributed storage solutions that not only enhance our existing Atlas storage framework but also empower our customers' workloads to operate with remarkable efficiency. In this pivotal role, you will collaborate closely with teams dedicated to building these storage services, defining Service Level Objectives (SLOs), shaping capacity plans, and ensuring the reliability, durability, and operational safety of the foundational storage layer that supports Atlas. As one of the founding members of this small but experienced team of Site Reliability Engineers (SREs), you will play a vital role in executing a multi-year vision for MongoDB’s cloud storage architecture. This position offers flexibility in location, allowing you to work from our offices in Boston, New York City, Raleigh, Miami, or Pittsburgh, or remotely from anywhere in the United States, provided you are based in the Eastern or Central time zones.

The MongoDB Cloud Services Team consists of a diverse group of contributors committed to empowering users to manage MongoDB at a global scale. Our Cloud Team spearheads MongoDB Atlas, our renowned database-as-a-service offering and fastest-growing product, enabling users to deploy fault-tolerant, globally distributed MongoDB clusters within minutes. The Backup Team plays a vital role by delivering essential infrastructure that allows customers to swiftly restore extensive distributed databases to any point in time at the touch of a button. Our mission is to enhance the reliability, speed, and cost-effectiveness of MongoDB backups. This team is responsible for the Backup Agent (developed in Go), the extensive server-side infrastructure (built with Java) that manages hundreds of terabytes of data and processes billions of operations daily, and the user interface (crafted in JavaScript) that customers utilize to oversee their backups. Common project themes include performance optimization, scalability, and user-friendliness.

At Astronomer, we empower data teams to transform crucial software, analytics, and AI into reality. We are the creators of Astro, the premier unified DataOps platform leveraging Apache Airflow®. Astro streamlines the creation of dependable data products that unveil insights, drive AI value, and facilitate data-driven applications. Trusted by over 800 leading enterprises globally, Astronomer enables organizations to maximize their data capabilities. Discover more at www.astronomer.io.About This Role:At Astronomer, we are redefining the management of Apache Airflow at scale. Our R&D organization is composed of some of the brightest minds in cloud infrastructure and open-source software.We are seeking a top-tier Staff+ level engineer to join our team and shape our Data and Database strategy as we enhance our platform's reliability, cost-effectiveness, and growth trajectory.You will play a pivotal role in designing, building, testing, and deploying our production infrastructure. Your contributions will directly impact the development of Astro, Observe, and our IDE product, as well as how global organizations orchestrate scalable data pipelines—making them faster, more reliable, and easier to manage.Your Key Responsibilities:Become a subject-matter expert in data management at scale. Astronomer's platform utilizes various databases and data sources, and as our needs evolve, we require a database and data platforms expert to oversee our data storage, retrieval, security, and curation processes.Our technology stack is primarily Postgres-based, supplemented with blob storage and specialized options for specific data types. You will advise, design, and lead the development of the data systems necessary for our continued growth. This technical role requires active participation in building these systems and ensuring their suitability.You will be at the forefront of collaboration within our Platform Engineering team and the broader R&D group.Blaze a Trail: Take ownership of our database and comprehensive data strategy, with the authority and responsibility to match—this role reports directly to the VP of Reliability.Be an Owner: Participate actively in decision-making processes regarding our data architecture.

About FuboTV:FuboTV Inc. is a pioneering live TV streaming service focused on delivering a consumer-first experience that is reshaping the future of television.Recognized as one of Fast Company’s Most Innovative Companies (2026) and the Financial Times’ Fastest-Growing Companies in the Americas (2026, 2025), FuboTV also owns Hulu + Live TV (entertainment), Fubo (sports), and Molotov (entertainment and sports), streaming to audiences worldwide.Our Mission:We aim to provide premium sports, news, and entertainment content through an unparalleled user experience that prioritizes choice, flexibility, and value.About the Role:*This position is a hybrid role based in New York City. Candidates must reside in NYC and be willing to work in the office three days a week (Tuesday, Wednesday, Thursday).* We are on the lookout for a Software Engineer with a robust foundation in backend development and a solid understanding of infrastructure principles. This role is crucial for building and maintaining scalable, reliable, and high-performance systems that support our video infrastructure and core services. We need a hands-on engineer who thrives in both software delivery and system reliability.The Video Input/Output Systems team oversees all facets of linear video operations, including ingestion, storage, distribution, advertising, scheduling, and client playback at scale.This is a fantastic opportunity for a software engineer to engage with both internal and external stakeholders, crafting efficient systems that align with critical business objectives. You will collaborate closely with our Streaming Media Operations (Acquisition, Encoding, Operations), Advertising Engineering, Platform, Product Management, Players, Content Distribution, and Sales teams to create integrated solutions.What You’ll Do:Design and implement high-throughput, low-latency video backend services, focusing on scalable architecture, efficient data processing, and fault-tolerant behaviors during peak traffic.Integrate services with comprehensive metrics, distributed tracing, structured logging, and health checks to enhance real-time observability and actionable alerts.Manage the reliability lifecycle—from establishing SLIs/SLOs to leading incident responses, triage, on-call rotations, and long-term reliability engineering initiatives.Architect scalable and event-driven services and microservices to support millions of concurrent viewers.Collaborate extensively with SRE and partner teams to fine-tune service performance across edge caches.

Team overview The Server Query team at MongoDB develops and maintains a distributed query engine that powers the MongoDB Query Language. This group manages every phase of query processing, including parsing, optimization, plan selection, and execution. Their work also extends to geospatial search and update systems, directly influencing how users interact with and extract insights from their data. Location and work flexibility This Software Engineer III - Query Optimization position is open to candidates based in New York City, Atlanta, Boston, or remotely from the East Coast. MongoDB supports flexible hours to enable collaboration across time zones. The company’s presence spans North America and Europe, with offices in cities such as Dublin, Berlin, Paris, Amsterdam, London, Sofia, Madrid, and Milan. What you will do Design and build core components for a distributed, flexible-schema document database Tackle complex problems in query optimization and execution Enhance data processing efficiency and user experience for transactional, time-series, and analytical workloads Contribute to all stages of query handling, from parsing through execution Why this role This role offers the opportunity to address challenging technical problems that shape how organizations use and analyze data. Collaborate with engineers who value performance and usability, and help define the future of MongoDB’s distributed query capabilities.

As an Embedded Engineer at Distributed Spectrum, you will play a crucial role in developing innovative embedded systems that enhance our product offerings. You will work closely with cross-functional teams to design, implement, and test software for embedded devices, ensuring high performance and reliability. This position requires a deep understanding of hardware and software integration and the ability to troubleshoot complex issues.

Join our dynamic team at Blacksmith as a Principal Systems Engineer, where you will play a crucial role in designing, developing, and implementing innovative systems solutions. Your expertise will guide projects from conception to execution, ensuring they meet both technical and user requirements.

About HoneHone is revolutionizing healthcare with our innovative online medical clinic that focuses on enhancing longevity and empowering individuals to take charge of their health. By leveraging advanced scientific research, we help both men and women unlock their full potential. Our team is at the core of our mission, driving our success through our commitment to our brand values:Champion Patient NeedsExecute RelentlesslyCommunicate ConstructivelyCollaborate GenerouslyTurn Obstacles Into OpportunityGive With GratitudeAs a fully virtual organization since our inception, Hone continues to embrace a remote-first culture.Our Ideal CandidateWe are seeking a mission-driven Senior Data Engineer who is a proactive multi-tasker dedicated to making a meaningful impact. The ideal candidate thrives in a dynamic, fast-paced environment and is eager to tackle challenges with enthusiasm. They possess a strong collaborative spirit and excel in both independent and team-oriented tasks, fostering open communication. With a commitment to learning and development, they exhibit humble leadership while driving initiatives to help others live longer, healthier lives.The RoleAs a Senior Data Engineer at Hone, you will report directly to the Senior Director of Data, Analytics, and Machine Learning. Your primary responsibility will be to develop and maintain the pipelines and infrastructure that facilitate analytics, reporting, and machine learning projects. Additionally, you will play a key role in constructing a longevity ontology knowledge graph. This position is perfect for someone with over 5 years of experience looking to expand their influence and technical expertise within a collaborative team.Primary ResponsibilitiesYour key responsibilities will include (but are not limited to):Developing, maintaining, and optimizing reliable data pipelines using SQL, dbt, and Python.Building and managing an ontology graph database with CosmosDB and Gremlin.Leveraging agentic AI to streamline and automate pipeline development.Working alongside Analytics Engineers, Data Scientists, Analysts, and Software Engineers to transform and structure data to fulfill business objectives.