Performance Engineer - Rust

Join our innovative team at adaptive-ml as a Performance Engineer specializing in Rust. In this role, you will have the opportunity to enhance performance, optimize systems, and contribute to groundbreaking projects. Your expertise will directly impact our product's efficiency and scalability.

Join us at fuku as we strive to create a robust and secure software foundation that empowers developers everywhere. Our mission is to revolutionize the way software is built, maintained, and released, making the process seamless and predictable. As a Lead Rust Engineer, you will be instrumental in shaping our codebase and fostering a positive company culture.Tech Stack:- Rust (CLI tooling)- TypeScript (Cloud frontend)- Go (backend services)- Google Cloud Platform (GCP)Key Responsibilities:- Develop and oversee features across CLI, backend, and frontend components.- Take full ownership of projects from initial concept through to deployment.- Contribute to establishing scalable engineering best practices.- Collaborate closely with product management to align on goals and deliverables.

About N1:N1 stands at the forefront of technology as the pioneering hyper-efficient and horizontally scalable blockchain network, crafted to facilitate trustless computing on a global scale.Our elite team brings together expertise from prestigious institutions including Harvard, Carnegie Mellon University, DFINITY, VMWare, and Galaxy Digital, and is supported by renowned investors such as Founders Fund, Kraken Ventures, and Amber Group.Position Overview:In this pivotal role within our software engineering team, you will lead the design and development of the critical backend systems for our blockchain network. Your focus will be on enhancing networking, reliability, and scalability. You will leverage your deep expertise in Rust to create, test, debug, and deploy robust production-grade software components. Additionally, you will uphold and advance best practices in software engineering within a significant open-source initiative.

As a Software Engineer specializing in Consensus at Anza, you will be at the forefront of blockchain innovation. Our team is dedicated to enhancing the performance and scalability of decentralized applications through advanced technology and collaborative efforts.Your RoleIn this critical role, you will strengthen Anza's Agave client and contribute to the Solana network. Your expertise will be vital in optimizing consensus mechanisms that ensure secure and efficient agreement on block validity and order, crucial for the reliability of our blockchain infrastructure.Key ResponsibilitiesDesign and Optimize Consensus Mechanisms: Create and enhance the consensus algorithms to improve throughput and stability across the Solana network.Efficient Coordination: Refine algorithms to promote equitable and efficient agreement on block production amongst validators.Security Assurance: Identify vulnerabilities in consensus mechanisms and implement robust protections against potential threats.Performance and Scalability: Focus on enhancing the scalability of the consensus system to accommodate rising transaction volumes and validator participation without sacrificing performance.Testing and Validation: Develop and conduct extensive tests to ensure the reliability and efficiency of the consensus systems, including stress tests and performance evaluations.Cross-Functional Collaboration: Work with multidisciplinary teams, including protocol engineers, security professionals, and infrastructure teams, to ensure seamless integration of consensus components.Documentation and Code Quality: Maintain comprehensive documentation of consensus protocols and perform peer code reviews to ensure high standards of quality and consistency.

At Ripple, we are pioneering a future where value transfers as seamlessly as information. Our innovative crypto solutions empower financial institutions, businesses, governments, and developers, striving to enhance the global financial system while fostering economic fairness and opportunity for individuals worldwide. Join us in doing the most impactful work of your career, surrounded by supportive colleagues committed to growth and excellence.If you're eager to make a difference and unlock remarkable career advancement, we invite you to join us in creating tangible value in the world.The TeamRippleX is committed to enabling the builders of tomorrow on the XRP Ledger (XRPL), recognized as one of the fastest and most dependable public blockchains globally. Our mission is to democratize the digital economy by providing substantial support, empowering a community of developers, and leveraging our expertise as a forward-thinking technology company.The Programmability team is at the forefront of this mission, dedicated to enhancing the XRP Ledger's core capabilities to incorporate smart contracts and sophisticated on-ledger functionality. We are in search of talented engineers who are driven by the vision of advancing decentralized applications.Your ResponsibilitiesArchitect, develop, and maintain critical components of the XRP Ledger to improve its programmability, smart contract functionality, performance, and scalability.Lead the integration and upkeep of a WebAssembly (WASM) virtual machine within the XRPL’s C++ core.Participate in the entire software development lifecycle, from architecture and design to development using modern C++ and Rust, alongside rigorous testing.Produce system design documents and facilitate technical discussions with both internal and external engineering stakeholders.Maintain high standards for coding and testing as a proactive member of the open-source XRP ledger community, including active involvement in code reviews.

About N1:N1 is pioneering a groundbreaking hyper-performant and horizontally scalable blockchain network aimed at facilitating trustless computing on an internet scale.Our diverse team comprises exceptional talents from prestigious institutions such as Harvard, Carnegie Mellon University, DFINITY, VMware, and Galaxy Digital, supported by renowned investors including Founders Fund, Kraken Ventures, SALT, and Amber Group.Position Overview:As an integral member of our software engineering team, you will lead the design and development of critical backend components for our blockchain infrastructure, emphasizing networking, reliability, and scalability. Your main responsibilities will include architecting and coding foundational backend software in Rust, utilizing your extensive expertise to ensure the development, testing, debugging, and deployment of high-quality, production-grade components. You will also play a vital role in upholding and advancing superior software engineering practices within a prominent open-source project.

About N1:N1 is a pioneering hyper-performance blockchain network, crafted to facilitate trustless computing at an internet scale. Our team is comprised of talented individuals from prestigious backgrounds including Harvard, CMU, DFINITY, VMWare, and Galaxy Digital, and we are proudly supported by renowned investors such as Founders Fund, Kraken Ventures, SALT, and Amber Group.Position Overview:We are on the lookout for a passionate Software Engineer Intern specializing in backend systems using Rust. In this role, you will play a vital part in developing essential backend components for our blockchain network, concentrating on the aspects of networking, reliability, and scalability. Your primary responsibilities will include designing and coding critical backend software components mainly in Rust. You will also be tasked with upholding and improving best practices in software engineering within a leading open-source project.

Join N1:At N1, we are pioneering the first hyper-efficient and horizontally scalable blockchain network aimed at enabling trustless computing on a massive scale.Our diverse team comprises experts from prestigious institutions such as Harvard, CMU, DFINITY, VMware, and Galaxy Digital, backed by renowned investors including Founders Fund, Kraken Ventures, SALT, and Amber Group.Role Summary:As an integral part of our software engineering team, you will lead the development of essential backend components for our blockchain network, with an emphasis on networking, reliability, and scalability. Your core responsibilities will include designing and implementing backend software components primarily in Rust, utilizing your comprehensive experience to ensure the creation, testing, debugging, and deployment of production-grade systems. You will also play a key role in upholding and enhancing high-quality software engineering standards within a significant open-source project.

Join our innovative Machine Learning team at Jane Street as a Performance Engineer, where your expertise in low-level systems programming and optimization will play a critical role in enhancing our machine learning capabilities. Machine learning is a vital component of Jane Street's global operations. Our dynamic trading environment acts as a unique, rapid-feedback platform for ML experimentation, allowing us to seamlessly integrate new concepts and methodologies. Your primary responsibility will be to optimize the performance of our models during both the training and inference phases. We prioritize efficient large-scale training, low-latency inference in real-time systems, and high-throughput inference in research scenarios. This involves not only refining CUDA implementations but also taking a holistic approach that encompasses storage systems, networking, as well as host and GPU-level considerations. We aim to ensure that our platform operates efficiently at the lowest levels—questioning whether high throughput translates into effective goodput and analyzing the actual time taken to load vectors from the L2 cache. If you're curious and passionate about tackling complex problems, you’ll find a welcoming environment here, even if you haven't previously considered a career in finance.

About Aura: At Aura, we are dedicated to creating a world where people maintain genuine connections with their loved ones every day. Our innovative digital frames have transformed into a private social network, enabling users to effortlessly share photos and videos with family and friends through our user-friendly apps, all displayed beautifully on premium Wi-Fi frames. Aura is proud to be the most recommended digital frame by independent reviewers and the only one endorsed by The New York Times Wirecutter. With millions of frames in use globally, we are constantly pushing the boundaries of innovation, introducing new products and software features, and expanding into new markets, driving profitable growth. Our network of millions of digital picture frames delivers photos to users worldwide, especially during peak gifting seasons, requiring our infrastructure to be scalable and robust. We leverage advanced computer vision and machine learning technologies to process hundreds of millions of photos, enhancing how users discover, arrange, and display their cherished memories. Our commitment to continuous improvement in both hardware and software is unwavering. Role: Join our dynamic infrastructure engineering team located in New York City and San Francisco, where you will design, develop, and maintain adaptable backend systems for a Rails API. These systems are engineered to scale efficiently while supporting our rapidly evolving product line and upholding stringent standards for performance, security, and cost-effectiveness. What you’ll do: Architect and implement sharding for our PostgreSQL backed Rails API Lead initiatives focused on enhancing system reliability, which includes monitoring, alerting, and incident response Optimize application and database expenditures

Join Altanova as a Building Performance Intern within our dynamic real estate team! This opportunity is tailored for passionate junior candidates pursuing a degree in mechanical engineering, energy, building technology, or related scientific fields. We seek individuals dedicated to sustainability in the built environment. Why Choose Altanova? Be part of a small, versatile team engaged in diverse projects worldwide.Experience a rich cultural atmosphere with a team representing 8 nationalities and speaking 15 languages.Contribute to impactful sustainability efforts.Enjoy competitive benefits including profit-sharing and 5 weeks of vacation. Your Role: As a vital member of our interdisciplinary team, you will utilize innovative design and technologies to enhance sustainability in the built environment. Your projects will span various sectors, including institutional, commercial, and residential. Your responsibilities will include: Conducting quantitative analyses such as energy and carbon emissions calculations, thermal comfort analysis, LCCA, and LCA.Developing whole-building energy and performance models to guide sustainable design and retrofit strategies.Performing site surveys, auditing, commissioning, retro-commissioning, and monitoring to assess real-life performance outcomes.Providing certification support for initiatives like the Living Building Challenge, PHIUS, and LEED.Offering technical assistance for compliance with energy codes, local government regulations, and funding requirements (e.g., NYSERDA, NYC HPD).Researching emerging technologies and processes. Qualifications: A minimum of a Bachelor’s degree in mechanical engineering, building science, or a related field.Understanding of energy efficiency strategies and building science.Familiarity with ASHRAE Standards 90.1, 55, and 62.1.Ability to interpret architectural and mechanical plans.A growth mindset and a strong desire to contribute to a team focused on positively impacting the built environment.Proficient in English, with exceptional verbal, interpersonal, and writing skills. Preferred Qualifications: Master’s degree and/or Ph.D.Professional credentials such as EIT, PE, LEED AP, or CEM.Experience in energy analysis utilizing tools like EnergyPlus, eQuest, Open Studio, or Design Builder.Experience in commissioning, building testing & verification (T&V), and performance verification.Proficiency in C# or Python programming. Equal Opportunity Employer Altanova is an Equal Opportunity Employer committed to diversity...

Join Our Team as a Senior AI Engineer! At Datadog, our APM Experiences team is responsible for delivering an exceptional product experience for Application Performance Monitoring. We're embarking on an exciting journey to create cutting-edge AI-powered features that enable our customers to detect, resolve, and prevent performance issues with greater speed and efficiency. In this pivotal role, you will spearhead the development of innovative LLM- and Agent-based functionalities that can: Thoroughly debug and investigate application performance issues down to the root cause, functioning both as a developer assistant and an autonomous agent. Proactively suggest performance and reliability optimizations to avert future incidents. Automatically generate intelligent monitors and Service Level Objectives (SLOs) for critical business processes. This role is highly focused on product development: you'll engage in the entire process from problem identification and user experience design to building reliable, scalable production systems. Your Responsibilities Shape AI experiences for APM: Design and implement LLM/agentic workflows that analyze traces, metrics, logs, and telemetry to provide diagnoses, explanations, and guided solutions. Own the complete development cycle: Rapidly prototype, establish success metrics and evaluations, conduct experiments, iterate, and ultimately scale for production reliability. Build resilient agent systems: Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evaluations; and design fallback mechanisms and human-in-the-loop processes. Integrate with Datadog’s ecosystem: Utilize features such as Trace Explorer, Service Catalog, monitors, and workflows to deliver comprehensive value within the APM user interface. Collaborate effectively: Work closely with Product Managers, Designers, and cross-functional teams to create cohesive user experiences. Elevate engineering standards: Write efficient, maintainable backend code, oversee production services, and enhance reliability for high-throughput, low-latency data systems. Who You Are A product-focused engineer with a proven track record of deploying AI solutions to production. 4+ years of experience in developing backend or real-time machine learning systems, with a strong emphasis on simplicity, correctness, and performance. Demonstrated success in delivering LLM/agent features to production, including prompting, tooling, evaluations, and safety mechanisms. Comfortable managing user journeys from prototype to general availability, while measuring impact.

Join Datadog as a Senior Software Engineer with extensive expertise in Generative AI and Machine Learning, contributing to our Application Performance Monitoring (APM) team. Our APM product is designed to deliver profound insights into application performance, allowing users to pinpoint bottlenecks, resolve issues, and enhance service efficiency. By leveraging advanced features such as distributed tracing, profiling, and pre-configured dashboards, Datadog APM stands out as a leader in structured visibility and health monitoring of applications.In this pivotal role, you will serve as a technical authority within the APM organization, spearheading projects focused on agentic workflows. Your responsibilities will include the design, training, evaluation, and large-scale deployment of Generative AI and ML models. We're looking for a product-oriented ML engineer with robust technical skills, exceptional communication abilities, and a proven history of successfully executing high-impact projects.At Datadog, we cherish our office culture, emphasizing collaboration and creativity. We embrace a hybrid work environment, enabling our team members to achieve a work-life balance that suits their needs.

Join Ellipsis Labs, a thriving venture-backed startup based in New York, where we are innovating within the decentralized finance space. Our flagship product, Phoenix, is recognized as the leading order book spot exchange on the Solana blockchain, boasting over $70B in trading volume since its launch in 2023. We are also among the top ten decentralized exchanges (DEX) and are highly active as on-chain market makers in the crypto sphere.All positions are located in our Ellipsis Labs office in New York City.

Role Overview Mediabrands is hiring a Director of Performance in New York. This position leads strategic efforts to strengthen performance marketing for a broad client portfolio. The Director works closely with teams across the organization to improve marketing results and refine strategies based on measurable outcomes. Key Responsibilities Guide performance marketing strategy for multiple clients Collaborate with cross-functional teams to align on goals and execution Focus on optimizing campaigns to achieve clear, measurable results Location Based in New York, New York, United States.

About Us:At Modal, we empower AI teams with robust infrastructure solutions. Our platform offers instant access to GPUs, rapid container startups, and integrated storage, enabling seamless model training, batch processing, and low-latency inference. Leading companies such as Suno, Lovable, and Substack trust Modal to transition from prototype to production effortlessly, without the complexities of infrastructure management.As a rapidly expanding organization based in New York, San Francisco, and Stockholm, we have achieved a remarkable nine-figure ARR and recently secured a Series B funding round at a valuation of $1.1 billion. Our extensive customer base, which includes industry leaders like Lovable, Scale AI, Substack, and Suno, depends on us for their production AI workloads.Joining Modal means becoming part of one of the fastest-growing AI infrastructure companies at a pivotal stage, with numerous opportunities for personal and professional growth. Our team is composed of the creators of renowned open-source projects (e.g., Seaborn, Luigi), academic scholars, international competition medalists, and seasoned engineering and product leaders with extensive experience.Your Role:We are seeking talented engineers who have a proven track record in optimizing machine learning systems for performance at scale. If you are passionate about contributing to open-source initiatives and enhancing Modal’s container runtime to improve language and diffusion models for higher throughput and reduced latency, we want to hear from you!Key Qualifications:A minimum of 5 years of experience in crafting high-quality, high-performance code.Proficient in working with PyTorch, high-level ML frameworks, and inference engines (e.g., vLLM or TensorRT).Strong understanding of Nvidia GPU architecture and CUDA programming.Hands-on experience in machine learning performance engineering, including optimizing GPU performance through techniques such as debugging SM occupancy, rewriting algorithms for compute efficiency, and minimizing host overhead.Familiarity with low-level operating system principles (Linux kernel, file systems, containers) is a plus.Willingness to work in-person at our offices in New York, San Francisco, or Stockholm.

Jane Street is seeking a talented engineer with a strong background in low-level systems programming and optimization to join our dynamic Machine Learning team.As a key component of Jane Street's global operations, machine learning plays a pivotal role in our continually evolving trading environment. This unique setting offers rapid feedback for ML experimentation, enabling us to seamlessly integrate fresh ideas into our processes.Your primary responsibility will be to enhance the performance of our machine learning models during both training and inference phases. We prioritize efficient large-scale training, low-latency inference in real-time systems, and high-throughput inference for research purposes. This involves improving standard CUDA implementations, while also adopting a holistic approach that considers storage systems, networking, and both host and GPU-level factors. Furthermore, we aim to ensure our platform's efficiency down to the granular level—how effective is our throughput? How long does it realistically take to load a vector from the L2 cache?If finance is not your primary background, rest assured—you are not alone. Many of our team members come from diverse fields. If you possess a curious mindset and a passion for tackling challenging problems, you will likely find a home here.

Join Datadog as a Senior Staff Software Engineer specializing in Generative AI and Machine Learning within our Application Performance Monitoring (APM) team. APM empowers users with unparalleled insights into application performance, helping them to pinpoint bottlenecks, resolve issues, and enhance service efficiency. With features like distributed tracing, profiling, and integrated dashboards, Datadog APM delivers comprehensive visibility into application health.In this role, you'll be a key technical leader, focusing on innovative workflows driven by Generative AI. Your responsibilities will include designing, training, evaluating, and deploying AI/ML models at scale. We seek a product-oriented ML engineer with robust technical expertise, exceptional communication abilities, and a proven history of executing impactful projects from inception to completion.At Datadog, we value our collaborative office culture and the creativity it fosters. Our hybrid work environment allows our team members to maintain a work-life balance that suits them best.

At Profound, we are pioneering the essential agentic framework for contemporary enterprises. Our Workflow Runner serves as the execution backbone that transforms intricate AI tasks into dependable, modular workflows. In this role, you'll be instrumental in crafting the fundamental components—execution, scheduling, state management, and streaming—that drive intelligent systems at scale.Key ResponsibilitiesDevelop core workflow engine primitives designed to orchestrate agents, tools, and data flows.Take ownership of the real-time control plane, encompassing streaming events, reliable job orchestration, idempotency, and replay mechanisms.Deliver high-impact systems that transition prototypes into production-ready, scalable workflows.Design and implement Rust-oriented backend services with clean APIs for the creation, execution, and monitoring of graph or DAG workflows.Create reliable job orchestration with varied response modes, including blocking, streaming, and fire-and-forget, while ensuring durable state.Enhance tenant isolation, security, and access protocols across our platform.Optimize runtime behavior, including scheduling, backpressure management, timeouts, retries, and idempotency.Evolve schemas and repositories, managing migrations, indexing, and query optimization.Incorporate meaningful telemetry and elevate standards for testing and operational excellence.Collaborate closely with product, frontend, and data teams to roll out high-impact features.Who You AreDemonstrated portfolio or GitHub showcasing depth in backend or systems design.Proficient in a modern systems language, ideally Rust, and comfortable managing services end-to-end in a production environment.Solid understanding of SQL and relational data modeling, with practical experience in PostgreSQL.Familiar with distributed systems patterns, including messaging, streaming, retries, idempotency, and backpressure.Knowledgeable about caching and state management systems like Redis and real-time delivery using SSE or WebSockets.Strong understanding of API authentication, authorization, multi-tenancy, and security best practices.Pragmatic, collaborative, and product-focused, thriving in a dynamic in-person work environment.Experience in building or operating workflow engines, schedulers, or agent runtimes is a plus.

At PitchBook, a Morningstar company, we are committed to forward-thinking and innovation. Our culture promotes collaboration, energy, and enjoyment, driving us to excel. We prioritize extensive learning programs and mentorship that foster a culture of curiosity, encouraging us to discover innovative solutions and improve our processes continuously. The dynamic nature of our industry and our ambitious goals create opportunities for growth, even amidst uncertainties. We embrace challenges, are unafraid to take risks, learn quickly from failures, and continually strive for excellence.If you possess a positive attitude and a hands-on approach, PitchBook is the ideal place for you.About the Role:At PitchBook, our Marketing organization is pivotal in driving growth through comprehensive demand generation programs, effective product marketing, and brand enhancement.The Digital team within Marketing excels in executing impactful, measurable programs across various channels including paid media, SEO, account-based marketing (ABM), email, and web. This team plays a crucial role in implementing go-to-market strategies, launching products, and maintaining ongoing demand initiatives while establishing a structured approach for effective planning and execution.As a core component of Digital, the Performance Marketing & Media team collaborates closely with Product Marketing, Web/SEO, Content, Creative, and Commercial teams to develop and implement integrated, audience-centric programs that drive awareness, pipeline, and revenue. The Director of this team will cultivate a culture of curiosity, testing, accountability, and continuous enhancement.