Systems Software Engineer

The Atlas Search Systems group at MongoDB builds and maintains the infrastructure behind Atlas Search, a multi-cloud service that enables advanced full text and vector search queries using the MongoDB Query Language. This team focuses on keeping the system scalable, observable, and reliable for both customers and engineers. As adoption of Atlas Search grows, the group delivers core infrastructure to support expanding demand. Role overview This Software Engineer III position centers on developing and maintaining the infrastructure that powers Atlas Search. The work involves supporting both customer-facing and internal engineering needs for search functionality across multiple cloud platforms. What you will do Develop and maintain infrastructure for Atlas Search Deploy and monitor search systems across AWS, Google Cloud, and Microsoft Azure Create scalable solutions to handle large datasets and demanding workloads Support search features for both customers and internal teams About Atlas Search Atlas Search enables advanced full text and vector searches on data in MongoDB Atlas, spanning AWS, Google Cloud, and Microsoft Azure. With the MongoDB Query Language, users can focus on relevance and data retrieval without managing underlying search complexity. Location and work model This role is based in San Francisco, CA. Both in-office and hybrid work arrangements are supported.

Join our dynamic team at Atlas as a Software Engineer in the vibrant city of San Francisco! We are looking for a passionate and innovative individual who thrives in a collaborative environment. As a Software Engineer, you will be responsible for developing cutting-edge software solutions that drive our mission forward.Your role will involve working closely with cross-functional teams to design, implement, and maintain software applications, ensuring they meet both functional and non-functional requirements. If you have a strong background in programming and a desire to work on impactful projects, we want to hear from you!

Join our innovative team at atlas as a Web Engineer, where you will be integral in shaping the future of web technologies. In this role, you will collaborate with cross-functional teams to develop high-quality web applications, ensuring optimal performance and user experience.Your expertise in modern web frameworks and programming languages will be essential as you tackle exciting challenges and contribute to our ongoing projects. We are looking for a passionate individual who thrives in a dynamic environment and is eager to learn and grow.

Join Atlas as an iOS Engineer and play a crucial role in designing innovative mobile applications that enhance user experiences. You will collaborate with cross-functional teams to deliver high-quality software solutions, ensuring seamless integration with backend services. Your expertise will contribute to the development of cutting-edge features that delight our users.As a member of our dynamic team, you will have the opportunity to implement best practices in mobile development, optimize app performance, and stay up-to-date with the latest industry trends. If you are passionate about mobile technology and eager to make an impact, we want to hear from you!

Role Overview Hinge Health is hiring a Senior Software Engineer focused on Search at our San Francisco headquarters. This role centers on building and refining search features that help users find what they need quickly and easily. The work supports our mission to improve healthcare experiences through technology. What You Will Do Design and implement advanced search functionality for our platform Work closely with teams across engineering, product, and design to deliver solutions that improve user experience Contribute ideas and code that shape the direction of our search systems Who We’re Looking For Experience building or improving search features in software products Interest in solving technical challenges that impact healthcare Comfort working with cross-functional teams

At Ironclad, we are revolutionizing the way legal agreements are managed with our leading AI contracting platform. We transform contracts into valuable assets, enabling faster processing, immediate insights, and empowering agents to drive projects forward, all while maintaining user control. Ironclad integrates the entire contracting process into a single intelligent platform, giving organizations the visibility they need to remain ahead of the curve. Trusted by pioneering organizations such as OpenAI, the World Health Organization, and the Associated Press, we are committed to accelerating business operations worldwide.Recognized as an industry leader, Ironclad is a proud recipient of accolades like Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work, and one of Fast Company’s Most Innovative Workplaces. We have also earned spots on Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. With backing from top investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton, we’re poised for significant growth. Explore more about us at www.ironcladapp.com or follow us on LinkedIn.Engineering at IroncladAs a Senior Software Engineer specializing in Search and Discovery, you will collaborate across teams to identify business challenges and architect innovative solutions. Your work will enable legal professionals to scale their operations exponentially. We seek forward-thinking engineers who understand UI performance as a fundamental engineering challenge. If you have a passion for optimizing rendering cycles, refining critical path CSS, and creating accessible, top-tier experiences in a collaborative and high-growth environment that values remote flexibility and technical excellence, we invite you to help us reshape the legal industry.Search and Discovery TeamWe believe that 'legal software' should not feel outdated. Our goal is to enhance global business efficiency by providing real-time, actionable contract intelligence. The Search & Discovery team is dedicated to crafting seamless user experiences that surface critical insights through intuitive features and an elegant UI. In this role, you will not just be building components; you'll be designing the entire feature lifecycle, enabling users to visualize, edit, and extract complex legal data instantly, turning extensive document collections into valuable insights.This role entails addressing the significant technical challenges associated with rapid growth, including optimizing UI render cycles for data-intensive workflows.

Role overview Foxglove seeks a Senior Software Engineer specializing in Search & Curation for its San Francisco office. This role centers on developing and enhancing software that powers search features and content curation tools used throughout Foxglove’s products. What you will do Design and build new software solutions to improve search capabilities and make content curation more efficient. Collaborate with colleagues from various teams to deliver stable, well-crafted products. Architect scalable systems that can adapt to growth and changing needs. Tune and optimize search algorithms to achieve better speed and accuracy.

Mapbox stands as a premier real-time location platform, empowering a new generation of location-aware businesses. Our platform uniquely provides organizations with a comprehensive suite of tools essential for navigating people, packages, and vehicles across the globe. With over 4 million registered developers choosing Mapbox for its flexibility, security, and privacy compliance, companies leverage our applications, data, SDKs, and APIs to craft tailored and immersive experiences that captivate their customers.About the Search Data TeamThe Search Data team is responsible for providing address, place, and points of interest (POI) data for global searches across various countries. This functionality is critical for our clients’ applications, and our team collaborates closely with the Maps and Navigation divisions at Mapbox. We handle batch data from a multitude of sources, utilizing ETL data pipelines to prepare it for our search engines. This work presents diverse challenges, including algorithm development, scalability, and quality assessment. As a Software Development Engineer on the Search Data team, you will engage with vast datasets—hundreds of millions of records—playing a crucial role in developing sophisticated mapping and navigation software for vehicles, web applications, and mobile devices.With AI increasingly integrated into engineering workflows, we seek engineers who can thoughtfully incorporate AI into design, development, and decision-making. Our interview process will include discussions surrounding your use of AI in engineering.

Join Crusoe as a Principal Systems Software Engineer and play a vital role in revolutionizing the tech industry. You will lead the development of innovative software solutions that enhance our systems and platforms, contributing to the overall mission of providing efficient and sustainable computing resources. Your expertise will help shape the future of our software architecture and ensure seamless integration across various applications.

About Our Team:Join the innovative Database Systems team at OpenAI, where we specialize in high-performance distributed databases. We are the architects behind Rockset, a cutting-edge real-time search, analytics, and vector database that powers all vector search and retrieval augmented generation (RAG) at OpenAI. Rockset underpins core functionalities across all OpenAI product lines and supports various critical internal applications.About the Role:We are in search of engineers who are passionate about distributed systems, performance optimization at a low level (with our core engine developed in C++), and constructing scalable database infrastructures from scratch. As a member of the Database Systems team, you will play a key role in enhancing the core database engine, making significant contributions to ingestion, query execution, indexing, and storage improvements. You will collaborate with multiple teams across OpenAI to unlock new product capabilities and ensure the reliability and scalability of our online database as usage expands exponentially.Your Responsibilities Will Include:Design, develop, and maintain high-performance distributed systems.Identify and address performance bottlenecks to elevate infrastructure capabilities.Define and guide the long-term technical vision and evolution of the system.Collaborate with product, engineering, and research teams to deliver robust and scalable infrastructure.Investigate complex production issues across the entire technology stack.Contribute to incident response, retrospective analyses, and establishing best practices for system reliability.You Will Excel In This Role If You:Possess substantial experience in building, scaling, and optimizing distributed systems.Exhibit a keen interest in database internals, storage engines, or low-latency query systems.Enjoy tackling complex performance challenges in high-throughput systems.Have experience managing and operating production clusters at scale (e.g., Kubernetes or similar orchestration tools).Approach scalability, correctness, and reliability with a rigorous mindset.Thrive in a fast-paced environment where you can make a significant impact.Qualifications:4+ years of relevant industry experience with a focus on distributed systems.Proficiency in C++ or similar low-level programming languages.Strong problem-solving skills and attention to detail.Experience with performance monitoring and optimization tools.Excellent collaboration and communication skills.

About Lumafield: Established in 2019, Lumafield has pioneered the development of the world's first accessible X-Ray CT scanner specifically designed for engineers. Our intuitive scanner, combined with cloud-based software, empowers engineers to gain unparalleled insights into their projects at a remarkably affordable cost. Engineers face high-stakes decisions daily, necessitating tools that provide maximum visibility into their designs. By delivering exceptional product clarity and AI-enhanced tools that identify issues and produce quantitative insights, Lumafield is set to transform the creation, manufacturing, and application of complex products across various sectors. Our company thrives on impact and is dedicated to delivering the utmost value to our customers, ensuring their needs drive our development. Our talented team consists of leading researchers, industrial designers, PhD holders, innovators, and startup founders, all working collaboratively without egos. We proudly receive backing from prestigious venture capital firms, including Kleiner Perkins, Lux Capital, DCVC, and Spark Capital.Headquartered in Cambridge, MA, with an additional office in San Francisco, CA, we are excited to grow our team.About the Role: As a Senior Systems Software Engineer at Lumafield, you will be instrumental in developing the software that drives our cutting-edge, in-line manufacturing CT scanning products. You will engage with state-of-the-art X-ray physics, high-speed detectors, image processing, and embedded systems. Collaborating within a small team focused on our latest hardware, you will harness your expertise to maximize system performance and achieve outstanding results for our clients. This position is perfect for those eager to take ownership of embedded systems, firmware, and software design in an early-stage product environment. This role is based in our San Francisco, CA office, with occasional travel required to our Cambridge, MA office.

About Us:Aurelius Systems is a venture capital-backed startup at the forefront of defense technology, specializing in the development of autonomous, edge-deployed robotic systems utilizing directed energy for counter-unmanned aerial systems (UAS).Our innovative approach involves creating laser systems designed to neutralize drones.With a dedicated team of approximately 10 engineers, former U.S. military personnel, and industry experts, we are committed to advancing America's capabilities in directed energy technology, delivering the first cost-effective and reliable laser weapon systems.Inspired by the philosophy of Marcus Aurelius, we emphasize consistent effort and accountability in our work, embodying a culture of high output without excuses. Following in the footsteps of pioneers like Henry Ford, we embrace innovation and action within our small but impactful team.In addition to our San Francisco headquarters, we are proud to operate a manufacturing hub in Detroit and conduct field tests weekly on our expansive private range.If you thrive on seeing your engineering contributions directly in action rather than being confined to a lab, we encourage you to explore this opportunity.The Position & Your Contribution:As a Robotics Software Systems Engineer, your primary responsibility will be to ensure that all subsystems function seamlessly and efficiently together.Our system comprises a complex array of subsystems including sensing, computer vision, machine learning inference, control systems, power management, and mechanical actuation. Achieving minimal processing time and inter-process latency is crucial for successfully targeting our nimble and evasive UAS.The key area we are looking to fill is real-time systems performance at the hardware interface. You should possess a deep understanding of how software execution impacts physical system behavior, how latency accumulates across CPU, GPU, memory, and I/O, and how bandwidth limitations influence sensor data processing. We need an engineer who is detail-oriented, considering microseconds, memory bandwidth, cache behavior, and system determinism.In our tight-knit team of around 10 engineers, you will have the opportunity to take ownership of systems that are field-tested. The success of our tests is binary—it's either effective or it isn't—and your role will involve iterative improvement based on real-world outcomes.Your Responsibilities:Manage the latency budget for the entire platform, from data sensing to actuation.Profile and mitigate latency across CPU, GPU, memory, and I/O interfaces.Develop and optimize kernels for high-throughput, low-latency operations.Adjust memory access patterns for optimal performance.

About Our TeamThe Platform Systems team at OpenAI is at the forefront of innovation, merging advanced AI technologies with large-scale distributed systems. We are tasked with creating the engineering and research infrastructure essential for training OpenAI's premier models on some of the most powerful, custom-built supercomputers globally.Our team is dedicated to developing the core software for model training, delving deep into the technological stack. This encompasses collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we design are pivotal to enhancing OpenAI's research capabilities, facilitating reliable and efficient training at the leading edge of technology.We work in close partnership with researchers across the organization, continuously integrating insights from various OpenAI projects to advance our training platform.About the RoleAs a Software Engineer specializing in Platform Systems, you will architect and develop distributed systems that enhance visibility into large-scale training operations, ensuring their dependable operation at scale.Your responsibilities will include designing systems for failure detection, tracing, and observability that pinpoint slow or malfunctioning nodes, identify performance bottlenecks, and assist engineers in optimizing extensive distributed training tasks. This infrastructure is integral to the functionality of OpenAI's training stack and is continuously evolving to accommodate new use cases and increasingly intricate workloads.This position is central to our training infrastructure, merging systems engineering, performance analysis, and large-scale debugging.Key ResponsibilitiesDesign and develop distributed failure detection, tracing, and profiling systems tailored for large-scale AI training jobs.Create tools to identify slow, faulty, or errant nodes and deliver actionable insights into system behavior.Enhance observability, reliability, and performance across OpenAI's training platform.Troubleshoot and resolve issues within complex, high-throughput distributed systems.Collaborate effectively with systems, infrastructure, and research teams to advance platform capabilities.Adapt and expand failure detection and tracing systems to support new training paradigms and workloads.Ideal Candidate ProfilePossesses a deep passion for performance, stability, and observability in distributed systems.Demonstrates proficiency in systems engineering and performance analysis.Has experience in debugging high-throughput distributed systems.Exhibits strong collaboration skills with a track record of working with cross-functional teams.Shows adaptability and eagerness to embrace new technologies and methodologies.

Location: San Francisco, CA (Hybrid: 4 days onsite/week). Relocation assistance available.About Our Team:At OpenAI, we are at the forefront of technology, creating foundational platform software that ensures our consumer products are reliable, secure, and high-performing. Our team collaborates across various system layers, working closely with engineering partners to deliver exceptional capabilities from initial concept to final launch.Role Overview:We are looking for a passionate Systems Software Engineer to lead the design, implementation, and debugging of critical platform components and the pipelines that build and update system images. Your focus will span across operating system layers, emphasizing performance optimization, security enhancements, and in-depth system debugging to deliver production-grade systems that exceed expectations.Key Responsibilities:Design and develop robust system-level components and services within both kernel and user spaces.Configure and maintain essential OS platform services (init, services, networking, security policies) and related tools.Build and manage image and update pipelines, ensuring their reliability, reproducibility, and rollback safety.Instrument system performance through profiling and tracing; enhance CPU, memory, I/O, and energy efficiency.Oversee platform observability and reliability, including logging, crash capture, watchdogs, and diagnostics.Collaborate with cross-functional teams to define interfaces and deliver comprehensive end-to-end features.Establish and promote strong engineering practices such as code reviews, continuous integration, reproducible builds, and effective release management.Work alongside external vendors to support builds and deployments.You Will Excel in This Role If You:Have successfully launched production systems software on modern operating systems.Possess proficiency in C/C++ and a scripting language, with a strong understanding of OS internals including concurrency, memory management, filesystems, networking, and power management.Demonstrate exceptional systems debugging skills utilizing debuggers, tracers, profilers, and logs across kernel/user-space boundaries.Comprehend the configuration of platform services and interfaces, effectively translating requirements into stable, well-documented APIs.Are knowledgeable about user-space foundations including service management, IPC, networking, packaging, and automation.Have experience collaborating with external partners to deliver high-quality software solutions.

Why Join Achira?Become part of an exceptional team comprised of scientists, ML researchers, and engineers dedicated to transforming the landscape of drug discovery.Engage with cutting-edge machine learning infrastructure at an unprecedented scale, leveraging extensive computing resources, vast datasets, and ambitious goals.Take ownership of significant projects from conception through to architecture and deployment on large-scale infrastructures.Thrive in a culture that values thoroughness, speed, and a proactive, builder-oriented mindset.About the RoleAt Achira, we are developing state-of-the-art foundation models that address the most complex challenges in simulation for drug discovery and beyond. Our atomistic foundation simulation models (FSMs) serve as comprehensive representations of the physical microcosm, encompassing machine learning interaction potentials (MLIPs), neural network potentials (NNPs), and various generative model classes.We are looking for a Software Engineer who is enthusiastic about distributed computing and its applications in machine learning. You will play a pivotal role in designing and constructing the infrastructure for our ML data generation pipelines, model training, and fine-tuning workflows across large-scale distributed systems.Your expertise will be crucial in ensuring our compute clusters are efficient, observable, cost-effective, and dependable, enabling us to advance the frontiers of ML development. If you are passionate about distributed systems, performance optimization, and cloud cost efficiency, we encourage you to apply.You will be empowered to conceptualize and manage complex workloads across multiple vendors worldwide. Achira's mission revolves around computation, and providing seamless access to our uniquely tailored workloads at the lowest possible cost is critical to our success.

About Our TeamThe Frontier Systems team at OpenAI is at the forefront of technology, responsible for creating, deploying, and maintaining some of the world's largest supercomputers. These supercomputers are pivotal for training our most advanced AI models, pushing the boundaries of innovation.We transform sophisticated data center designs into operational systems and develop the software infrastructure necessary for extensive frontier model training. Our goal is to ensure these hyperscale supercomputers operate reliably and efficiently, supporting groundbreaking AI research.About the RoleAs a key member of the Frontier Systems team, you will be instrumental in designing the critical infrastructure that ensures our supercomputers function seamlessly for pioneering AI research. In this role, you'll address system-level challenges and implement automation solutions that minimize disruptions during large-scale training processes.Your responsibilities will encompass end-to-end ownership of your projects, allowing you to make significant contributions to our mission. This position is ideal for individuals who excel in diagnosing complex system issues and crafting automation strategies to proactively resolve problems across a vast network of machines.Your Responsibilities Include:Enhancing system health checks to maintain the stability of our hyperscale supercomputers during model training.Conducting in-depth investigations into hardware failures and system-level bugs to uncover root causes.Developing automation tools that monitor and resolve issues across thousands of systems, enabling uninterrupted research progress.You May Be a Great Fit If You Possess:7+ years of hands-on experience in software engineering.Strong proficiency in Python and shell scripting.Expertise in analyzing complex data sets using SQL, PromQL, Pandas, or other relevant tools.Experience in creating reproducible analyses.A solid balance of skills in both building and operationalizing systems.Prior experience with hardware is not a prerequisite for this role.Preferred Qualifications:Familiarity with the intricacies of hardware components, protocols, and Linux tools (e.g., PCIe, Infiniband, networking, power management, kernel performance tuning).Experience with system optimization and performance tuning.

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.

Join our innovative team at Crusoe as a Staff Software Engineer, where you will leverage your expertise in systems engineering to develop cutting-edge software solutions. In this dynamic role, you will collaborate with cross-functional teams to design, implement, and optimize systems that drive our mission forward. Your contributions will be pivotal in enhancing our technology stack and ensuring the seamless operation of our systems.

About GranicaGranica is an innovative AI research and infrastructure firm dedicated to creating reliable and steerable representations of enterprise data.We build trust through our product Crunch, a policy-driven health layer that ensures large tabular datasets remain efficient, reliable, and reversible. On this solid foundation, we are developing Large Tabular Models—systems designed to learn cross-column and relational structures in order to provide trustworthy answers and automation with inherent provenance and governance.Our MissionAI is currently hampered not only by the design of models but also by the inefficiencies of the data that supports them. Every redundant byte, poorly organized dataset, and inefficient data pathway contributes to significant costs, latency, and energy waste as we scale.Granica aims to eliminate these inefficiencies. We merge cutting-edge research in information theory, probabilistic modeling, and distributed systems to craft self-optimizing data infrastructures: systems that consistently enhance the representation and utilization of information by AI.Our engineering team collaborates closely with the Granica Research group led by Prof. Andrea Montanari of Stanford University, bridging advancements in information theory and learning efficiency with large-scale distributed systems. Together, we firmly believe that the next major advancement in AI will stem from breakthroughs in efficient systems rather than merely larger models.Your ContributionsGlobal Metadata Substrate: Design a transactional and metadata substrate that facilitates time-travel, schema evolution, and atomic consistency across massive petabyte-scale tabular datasets.Adaptive Engines: Develop systems that autonomously reorganize data, learning from access patterns and workloads to maintain peak efficiency without the need for manual tuning.Intelligent Data Layouts: Optimize bit-level organization (including encoding, compression, and layout) to maximize signal extraction per byte read.Autonomous Compute Pipelines: Create distributed compute systems that scale predictably, adapt to dynamic loads, and ensure reliability under failure conditions.Research to Production: Apply new algorithms in compression, representation, and optimization that emerge from ongoing research. We encourage opportunities to publish and open-source your work.Latency as Intelligence: Design systems that inherently minimize latency as a measure of intelligence.