Performance Modeling Engineer

Join Canva as an Engineering Manager specializing in Video Performance, where you'll lead a talented team dedicated to enhancing our video features. You will play a pivotal role in driving innovation, optimizing video processing, and ensuring exceptional performance for our users.This is an exciting opportunity for a motivated leader who thrives in a fast-paced environment and is passionate about delivering high-quality video experiences.

Join our talented team at Canva as a Senior Software Engineer specializing in Video Performance. We are looking for an innovative and solutions-oriented engineer who is passionate about optimizing video experiences for our users. In this role, you will collaborate with cross-functional teams to enhance performance, develop new features, and implement best practices in video engineering.

Join Canva as a Staff Software Engineer specializing in Video Performance. In this role, you will be instrumental in enhancing our video features, ensuring top-notch performance for our users. You will collaborate with cross-functional teams, leveraging your expertise to drive innovation and optimize our video products.

At Genmo, we are at the forefront of advancing artificial intelligence through innovative research in video generation. Our mission is to construct open, cutting-edge models that will ultimately contribute to the realization of Artificial General Intelligence (AGI). As part of our dynamic team, you will play a pivotal role in redefining the future of AI and expanding the horizons of video creation.We are looking for a skilled GPU Performance Engineer who can extract maximum performance from our H100 infrastructure and fine-tune our model serving stack to achieve unparalleled efficiency. If you are passionate about optimizing performance, particularly at the microsecond level, and thrive on pushing hardware to its limits, this is the perfect opportunity for you.Key ResponsibilitiesUtilize advanced profiling tools such as Nsight Systems and nvprof to analyze and enhance GPU workloads.Develop high-performance CUDA and Triton kernels to optimize essential model functions.Reduce cold start latency from seconds to mere milliseconds in our serving infrastructure.Optimize memory access patterns, implement kernel fusion, and maximize GPU utilization.Collaborate closely with machine learning engineers to optimize model implementations.Diagnose and resolve performance issues throughout the application and hardware stack.Implement custom memory pooling and allocation strategies to enhance performance.Promote performance optimization techniques and foster a culture of excellence across teams.

About Superhuman Grammarly is now part of Superhuman, an innovative AI productivity platform dedicated to unlocking the superhuman potential in everyone. Superhuman's suite of applications and agents seamlessly integrates with over 1 million applications and websites, providing tools like Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers assistance automatically. Founded in 2009, Superhuman serves over 40 million individuals, 50,000 organizations, and 3,000 educational institutions globally, empowering them to eliminate busywork and focus on what truly matters. Discover more at superhuman.com and learn about our values here. The Opportunity We are seeking a dynamic Performance Marketing Lead for Paid Social, Display, and Video to spearhead our visual performance channels and drive growth across both desktop and mobile platforms. You will oversee a talented team of channel specialists while remaining actively involved in the strategy formation, execution guidance, and ongoing enhancement of our customer acquisition and growth efforts across key visual platforms. Your role will involve building and scaling performance strategies through a data-driven creative testing framework, expanding mobile app initiatives, and conducting incrementality testing, while taking ownership of the desktop acquisition strategy for these channels. Collaboration with Data Science, Product, Engineering, Creative, and Product Marketing teams will be essential to implement cohesive, impactful growth initiatives. This position is perfect for an individual who enjoys being a hands-on manager, balancing mentoring with deep dives into performance analytics and experimentation. In this role, you will: Lead and mentor a team of 2–3 channel specialists, offering guidance on channel strategies and professional development while being actively engaged in day-to-day decisions. Develop and execute performance strategies across Paid Social, Display, and Video to foster self-serve growth on both desktop and mobile. Oversee the mobile acquisition strategy for visual channels, including measurement, optimization, and experimentation across app campaigns and mobile inventory. Create and maintain a data-driven creative testing framework that links creative concepts to performance outcomes such as CAC, LTV, and incrementality. Develop a comprehensive cross-channel roadmap that aligns testing, budgeting, and insights across Paid Social, Display, and YouTube. Collaborate closely with Data Science, Product, Engineering, Creative, and Product Marketing teams to synchronize strategies and objectives.

Join Canva as a Senior Engineering Manager specializing in Video Templates. In this pivotal role, you will lead a dynamic team of engineers to innovate and enhance our video template offerings, ensuring a seamless and engaging user experience. You will be responsible for setting the technical direction, driving projects from inception to delivery, and collaborating with cross-functional teams to align on product vision and execution.As a key leader, you will mentor and guide your team members, fostering a culture of creativity and excellence. Your expertise will help shape the future of video content creation at Canva, making it accessible and enjoyable for users around the globe.

ABOUT BASETENAt Baseten, we empower the most innovative AI companies—such as Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer—by providing a robust platform for mission-critical inference. Our unique combination of applied AI research, adaptable infrastructure, and cutting-edge developer tools allows companies at the forefront of AI to deploy state-of-the-art models seamlessly. Having recently secured a $300M Series E funding round from notable investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we are poised for rapid growth. Join us in creating the essential platform for engineers to launch AI products.THE ROLEAre you driven to push the boundaries of artificial intelligence while leading a team of talented engineers? We are seeking a Technical Lead Manager with a focus on machine learning performance and inference. This position is perfect for an individual with a strong engineering foundation who is eager to guide and mentor a team while remaining actively engaged in hands-on technology work. If you excel in a dynamic startup atmosphere and are excited to tackle both leadership and technical challenges, we invite you to apply.EXAMPLE INITIATIVESAs a member of our Model Performance team, you will work on projects such as:Baseten Embeddings Inference: The fastest embeddings solution availableThe Baseten Inference StackDriving model performance optimizationRESPONSIBILITIESLead, mentor, and manage a team of engineers dedicated to developing and optimizing ML model inference and performance.Oversee technical strategy and architectural decisions, fostering improvements across our engineering organization.Collaborate with cross-functional teams to ensure the seamless integration and scalability of ML models in production settings.Drive innovation in model performance and advocate for best practices within the team.

Role overview The Performance Modeling Engineer II position at OpenAI centers on building and applying performance models to enhance the efficiency of advanced AI systems. Based in San Francisco, this role contributes to the reliability and speed of OpenAI’s technologies. What you will do Develop and implement performance models for AI systems Collaborate with data scientists and engineers to refine performance metrics Support the efficiency and rigorous standards of OpenAI’s technologies

Join Crusoe as a Senior Systems Performance Engineer, where you will play a crucial role in optimizing and enhancing our systems for superior performance. You will be responsible for diagnosing performance bottlenecks, implementing solutions, and ensuring that our infrastructure can scale efficiently. Work in a dynamic environment that encourages innovation and professional growth.

About UsAt Lemurian Labs, we are dedicated to democratizing AI technology while prioritizing sustainability. Our mission is to create solutions that minimize environmental impact, ensuring that artificial intelligence serves humanity positively. We are committed to responsible innovation and the sustainable growth of AI.We are in the process of developing a state-of-the-art, portable compiler that empowers developers to 'build once, deploy anywhere.' This technology ensures seamless cross-platform integration, allowing for model training in the cloud and deployment at the edge, all while maximizing resource efficiency and scalability.If you are passionate about scaling AI sustainably and are eager to make AI development more powerful and accessible, we invite you to join our team at Lemurian Labs. Together, we can build a future that is innovative and responsible.The RoleWe are seeking a Senior ML Performance Engineer to take charge of designing and leading our Performance Testing Platform from inception. In this pivotal role, you will be recognized as the technical expert in measuring, validating, and enhancing the performance of large language models (including Llama 3.2 70B, DeepSeek, and others) prior to and following compiler optimization on cutting-edge GPU architectures.This is a critical position that will significantly impact our product quality and customer success. You will work at the intersection of Machine Learning systems, GPU architecture, and performance engineering, constructing the infrastructure that substantiates the value of our compiler.

Join Samsara as a Video Production Manager, where you will lead a talented team in creating impactful video content that drives engagement and showcases our innovative solutions. You will oversee all aspects of the video production process, from concept development to final delivery, ensuring that our content resonates with our audience and aligns with our brand messaging.

Role Overview OpenAI is hiring a ChatGPT Performance Engineer in San Francisco. This role focuses on improving the performance and efficiency of ChatGPT’s advanced AI models. The position works closely with cross-functional teams to identify and implement solutions that make ChatGPT faster and more reliable for users around the world. What You Will Do Optimize the speed, reliability, and scalability of ChatGPT’s platforms. Collaborate with engineers and other teams to solve technical challenges. Develop and refine systems to support a seamless user experience globally. Impact This work directly shapes the future of AI at OpenAI, helping deliver a dependable and efficient ChatGPT experience to millions of users.

We are seeking a talented Video Engineer to join our dynamic team at info-ways in beautiful San Francisco. This is a contract position designed for individuals with a passion for video technology and a strong background in engineering.The ideal candidate will have hands-on experience with video production, streaming technologies, and a deep understanding of the technical aspects of video engineering. You will play a crucial role in optimizing video workflows and ensuring the highest quality of video output.

We are seeking a talented Performance Engineer to join our dynamic team at usm2. This is an exciting opportunity for local professionals who are passionate about optimizing system performance and enhancing user experience. As a Performance Engineer, you will play a crucial role in analyzing performance metrics, identifying bottlenecks, and implementing solutions to ensure our applications run smoothly and efficiently.

About UsAt Twelve Labs, we are at the forefront of innovation, creating advanced multimodal foundation models that enable machines to understand videos in a human-like manner. Our groundbreaking approach to video-language modeling is setting new benchmarks, enhancing our ability to analyze and interact with diverse media formats.With an impressive $107 million in funding from leading venture capital firms including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, as well as visionary AI leaders like Fei-Fei Li and Alexandr Wang, we are strategically positioned to drive global innovation. Our headquarters in San Francisco, along with a significant presence in Seoul, illustrates our commitment to reshaping the future of technology.We celebrate the unique journeys of every individual and believe that our diverse backgrounds fuel our creativity and innovation. We invite passionate individuals who share our mission to join us in transforming video understanding and multimodal AI.Role OverviewUnlike typical video engineering roles that focus primarily on enhancing human playback, at Twelve Labs, we engineer video for machine comprehension. This unique approach prioritizes AI model performance over mere perceptual quality. As the Principal Software Engineer for Video Engineering, you will architect and implement our video processing pipelines, overseeing the entire journey from byte ingestion through to playback. Your work will be pivotal in ensuring our systems are efficient, cost-effective, and tailored for AI-driven video intelligence at scale.Your ResponsibilitiesEnd-to-End Ownership: Lead the design and execution of video pipelines, covering ingestion, decoding, chunking, storage, and playback, applicable to both batch and streaming modes.Codec Expertise: Guide the development of decoding strategies, container format management, and codec implementations, ensuring optimal performance for various video types.

About Our TeamThe Training Runtime team is at the forefront of developing a cutting-edge distributed machine learning training runtime, enabling everything from pioneering research to large-scale model deployments. Our mission is to empower researchers while facilitating growth into frontier-scale operations. We are crafting a cohesive, modular runtime that adapts to researchers’ evolving needs as they progress along the scaling curve.Our focus is anchored in three key areas: optimizing high-performance, asynchronous data movement that is aware of tensor and optimizer states; building robust, fault-tolerant training frameworks that incorporate comprehensive state management, resilient checkpointing, deterministic orchestration, and advanced observability; and managing distributed processes for enduring, job-specific, and user-defined workflows.We aim to seamlessly integrate proven large-scale capabilities into a developer-friendly runtime, enabling teams to iterate rapidly and operate reliably across various scales. Our success is gauged by both the enhancement of training throughput (the speed of model training) and researcher throughput (the pace at which ideas transform into experiments and products).About the RoleAs a Training Performance Engineer, you will be instrumental in driving efficiency enhancements throughout our distributed training architecture. Your responsibilities will include analyzing extensive training runs, pinpointing utilization gaps, and engineering optimizations that maximize throughput and system uptime. This position merges a profound understanding of systems with practical performance engineering—analyzing GPU kernel performance, collective communication throughput, and investigating I/O bottlenecks, while also implementing model sharding techniques for large-scale training.Your efforts will ensure our clusters operate at peak performance, enabling OpenAI to develop larger and more sophisticated models within existing compute budgets.This position is located in San Francisco, CA, utilizing a hybrid work model with three days in the office each week, and we offer relocation assistance for new hires.Key Responsibilities:Analyze end-to-end training runs to detect performance bottlenecks across computation, communication, and storage.Enhance GPU utilization and throughput for large-scale distributed model training.Collaborate with runtime and systems engineers to boost kernel efficiency, scheduling, and collective communication performance.Implement model graph transformations to enhance overall throughput.Develop tools for monitoring and visualizing metrics such as MFU, throughput, and uptime across clusters.

Senior Infrastructure & Performance EngineerAs a Senior Infrastructure & Performance Engineer, you will take charge of enhancing the performance, reliability, and scalability of Nash's foundational infrastructure. Collaborating closely with the Engineering Leadership and both platform and product engineering teams, you will design and manage low-latency, mission-critical systems that facilitate real-time logistics for some of the world's largest retailers.This is a key senior role focused on elastic capacity, high availability, cloud-native architectures, Postgres performance, and enterprise-grade CI/CD for multi-region deployments. You will define the technical roadmap, establish best practices, and implement systems that support the essential workflows of major retailers.Key ResponsibilitiesOversee infrastructure performance and reliability for Nash's production environments, ensuring low latency, high throughput, and consistent performance under load.Design, develop, and enhance AWS infrastructure, utilizing managed services with a focus on ECS/Fargate.Lead initiatives in Postgres performance engineering, including query optimization, indexing strategies, connection management, replication, cluster design, and failover.Architect and maintain multi-region, highly available systems with robust resiliency and guaranteed disaster recovery.Design and refine enterprise-grade CI/CD pipelines that enable safe, repeatable, and rapid deployments across environments and regions.Establish observability standards (metrics, logs, tracing, SLOs) to proactively identify and resolve performance bottlenecks.Collaborate with application engineers to inform system design choices that influence scalability, latency, and reliability.Lead incident response efforts and postmortems, emphasizing root cause analysis, systemic improvements, and long-term resilience.Set best practices for infrastructure and performance while mentoring engineers throughout the organization.Qualifications6+ years of experience in building and managing high-scale production infrastructure for mission-critical systems.Proficiency with AWS, particularly with ECS/Fargate, and experience with cloud-native architecture.Strong background in Postgres performance tuning and optimization.Deep understanding of CI/CD practices and experience in multi-region deployments.Exceptional analytical and problem-solving skills, with a proactive approach to performance management.

At ClickUp, we're not just developing software; we're shaping the future of work! In an era dominated by work sprawl, we identified a more efficient way. This led us to create the first truly integrated AI workspace, consolidating tasks, documents, chat, calendar, and enterprise search, all enhanced by context-driven AI. Our mission is to empower millions of teams to escape silos, reclaim their time, and reach unprecedented levels of productivity. At ClickUp, you'll have the chance to learn, innovate, and leverage AI in transformative ways that will not only influence our product but also the broader landscape of work itself. Join a daring, pioneering team that's challenging the limits of what's possible! We are on the lookout for a technical leader in SaaS client performance who is passionate about enhancing the customer experience through top-tier performance solutions. As a Senior Performance Engineer, you will spearhead comprehensive strategies to optimize application speed, memory utilization, and reliability across our entire platform. You will be empowered to analyze, diagnose, and address performance bottlenecks wherever they arise—be it front-end, back-end, or infrastructure—ensuring ClickUp remains the fastest and most reliable productivity platform available.The ideal candidate is a hands-on authority in browser and NodeJS performance, with a thorough understanding of how code influences rendering, memory management, and overall user experience. You excel in solving intricate challenges, collaborating across teams, and establishing new benchmarks for performance excellence. If you're driven to make a significant impact for millions of users, this is your chance to lead at scale.Your Responsibilities:Conduct root cause analysis on client performance issues and perform post-mortems.Profile application code to identify inefficient algorithms, memory leaks, and other issues; propose and implement effective solutions.Establish performance monitoring, alerting, and dashboards to proactively detect and resolve client performance challenges.Examine client traffic patterns, load testing outcomes, and other metrics to set benchmarks and drive enhancements.Champion performance best practices and set performance standards across the engineering organization.Identify infrastructure upgrades (caching, CDNs, database optimization) to elevate the client experience.Collaborate with development teams to incorporate performance as a core requirement in the development of new features.

Join Baseten as a Performance Marketing Manager and take charge of driving our marketing strategy to new heights. In this dynamic role, you will leverage data-driven insights to optimize our marketing campaigns, ensuring we reach our target audience effectively. You will collaborate with cross-functional teams to develop and implement innovative marketing initiatives that enhance brand visibility and drive user acquisition.