Staff Software Engineer, Compute

At Rylo, we are revolutionizing the way you capture and share your experiences. Our state-of-the-art camera is designed to record your surroundings with breathtaking clarity and stability, eliminating the hassle of traditional video capture. Created by a team of visionary engineers from Instagram and Apple, our innovative stabilization software and user-friendly smartphone app ensure that every shot you take is a masterpiece. With Rylo, you can focus on enjoying the moment while we handle the technicalities of creating stunning videos.Experience Rylo in actionAs a Software Engineer specializing in Computational Photography, you will play a crucial role in enhancing the core algorithms that power the Rylo camera and future products. Your work will fundamentally enhance the photography and cinematography experience, focusing on improving image quality and developing groundbreaking computational photography features. You will engage in the complete lifecycle of algorithm development, from design and implementation to quality evaluation and performance optimization, culminating in successful deployment.Your collaboration with software engineers, hardware engineers, and designers will allow you to push the boundaries of consumer camera technology.

Join Stripe as a Staff Software Engineer in our Stream Compute team, where you will play a pivotal role in building scalable solutions that power the financial infrastructure of the internet. As a member of our innovative engineering team, you will leverage your expertise to design and implement robust software solutions that enhance the performance and reliability of our streaming data capabilities.

Databricks is looking for a Senior Software Engineer focused on Compute Infrastructure in San Francisco, California. This position centers on building and improving compute architecture to support greater performance and scalability across Databricks' platform. What you will do Develop and optimize compute infrastructure to handle demanding data processing and analytics workloads. Work closely with teams from different disciplines to deliver reliable, high-quality solutions for customers. Impact Your contributions will help define how data processing and analytics evolve at Databricks. The work directly supports customers’ ability to scale and perform complex tasks in the cloud. Who we’re looking for Strong background in cloud technologies and compute systems. Enjoys tackling complex technical challenges. Collaborative approach to problem-solving with cross-functional teams.

Team and Platform Focus The Compute Infrastructure team at OpenAI designs, builds, and maintains the systems that support AI research at scale. This work brings together accelerators, CPUs, networking, storage, data centers, orchestration software, agent infrastructure, developer tools, and observability. The aim is to create a reliable, unified experience for researchers and product teams across the company. Projects span the full stack: capacity planning, cluster lifecycle management, bare-metal automation, and distributed systems. The team manages Kubernetes scheduling, system optimization, high-performance networking, storage, fleet health, reliability, workload profiling, benchmarking, and improvements to the developer experience. Even small improvements in communication, scheduling, hardware efficiency, or debugging can significantly accelerate research. OpenAI matches engineers to areas within Compute Infrastructure that align with their skills and interests. Role Overview This Software Engineer role centers on building and evolving the compute platform that supports OpenAI’s research and products. Candidates may bring expertise in low-level systems, high-performance computing, distributed infrastructure, reliability, CaaS, agent infrastructure, developer platforms, tooling, or infrastructure user experience. The most important qualities are strong analytical skills, the ability to write resilient code, and a collaborative approach that helps colleagues move faster and with more confidence. What You Will Work On Working close to hardware or at the user interaction layer Developing CaaS and agent infrastructure Managing control and data planes that connect the system Bringing new supercomputing capabilities online Optimizing training workloads through profiler traces and benchmarks Improving NCCL and collective communication Analyzing GPUs, NICs, topology, firmware, thermal dynamics, and failure modes Designing abstractions to unify diverse clusters into a single platform Areas of Expertise No one is expected to cover every area listed. Some engineers focus on system performance, kernel or runtime behavior, large-scale networking protocols, RDMA, NCCL, GPU hardware, benchmarking, scheduling, or hardware reliability. Others improve the platform’s usability through APIs, tools, workflows, and developer experience. The team values strong engineering judgment and a drive to advance the field.

ABOUT USAt Applied Compute, we are pioneers in developing Specific Intelligence for enterprises, creating agents that learn continuously from a company’s processes, data, expertise, and objectives. Our mission is to establish a continual learning platform that captures context, memory, and decision traces throughout the organization, enabling specialized agents to perform meaningful tasks.Why Join Us: Our team operates at a unique intersection of innovation. Our product team is responsible for crafting a platform that serves as the backbone for a new generation of digital coworkers. Meanwhile, our research team explores the cutting edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with clients to deploy agents effectively in real-world scenarios. This synergy of robust product development, extensive research, and direct client engagement is essential for us to revolutionize AI in the enterprise landscape.Our Team: Comprising engineers, researchers, and operations experts, our team includes many former founders with extensive experience. We have developed RL infrastructure at OpenAI, data foundations at Scale AI, and other systems at companies like Two Sigma and Watershed. We proudly serve Fortune 50 clients and are supported by top-tier investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about utilizing cutting-edge research and complex systems to address real-world challenges. Comfort navigating diverse environments, whether it’s a new codebase, unfamiliar customer data architecture, or unexplored problem domains, is essential. Our team values genuine client engagement — listening, empathizing, and understanding the realities of work in their organizations. Those with entrepreneurial spirits, rich project experiences, or proven capabilities to manage tasks end-to-end will excel in our environment.THE POSITIONAs a Software Engineer, you will be instrumental in building the products and interfaces utilized by customers and internal teams. You will manage the entire application platform stack, from collaborative human-AI workspace systems to backend workflows orchestrating sandboxed agent sessions, and the continual learning SDK that provides engineers with oversight of the agent development lifecycle.

About UsAt Software Apps Inc., we are pioneering the future of technology with our groundbreaking product, Sky, which utilizes natural-language computing tailored for your Mac. Join us in our mission to innovate and transform how users interact with technology.Discover more about our team, values, and vision on our careers page: www.software.inc/jobsOur ValuesCollaboration is Key: We thrive on teamwork and believe in the power of in-person collaboration. Every team member is seen as a leader, and we encourage ownership of projects to foster growth.Honest Communication: Empathetic and open communication is vital for our close-knit team. We strive to listen as much as we talk, respecting every voice in the room.Cultivating Curiosity: In the ever-evolving landscape of AI and computing, staying curious is essential. We ask questions that guide our decisions, ensuring we stay aligned with our vision.The RoleWe are seeking a talented Software Engineer to play a pivotal role in shaping our product. You will be responsible for developing new, user-facing software. Your ability to balance ambition with feasibility will be crucial as you engage in an iterative process of building, testing, gathering feedback, and refining your work.Your Daily Responsibilities Will Include:Creating Innovative Software: Utilize your skills and passion to transform visionary ideas into actionable plans. Sometimes, this requires taking bold steps without knowing the final outcome.Taking Ownership: You'll have full responsibility for the success of your projects. Your commitment to incorporating feedback and improving quality is essential. We trust you to handle significant responsibilities.Thinking Big and Small: Understanding that every choice impacts user experience, you’ll focus on details that create seamless and magical interactions.Documenting Your Work: Keeping thorough and clear documentation is key to our collaborative approach.

About the RoleAt Sigma Computing, we are revolutionizing how enterprises manage their data through an advanced high-performance platform built on modern data architecture. As we expand our engineering team, we seek passionate engineers eager to tackle complex challenges and deliver significant capabilities across our technology stack. Join our talented team committed to making data effortlessly accessible for all users.What You Will Be DoingDevelop and maintain testing infrastructure and tools, including AI-driven test generation, test harnesses, API testing, hermetic test environments, and performance testing frameworks.Enhance the testability of our systems and services.Utilize modern programming languages and tools such as K6, Rust, and Go.Establish and refine best practices to ensure high-quality standards in our systems and services.Engage in test planning and quality strategy reviews.Collaborate with peers and stakeholders through design and code reviews to uphold best practices across available technologies, dedicating a majority of your time to delivering high-quality code.

Join Airtable as a Senior Software Engineer in the Compute team where you'll play a pivotal role in developing scalable and robust software solutions. You will collaborate with cross-functional teams to design and implement innovative features that enhance our platform's capabilities. Your expertise in software engineering principles and practices will be essential as you contribute to a dynamic and agile environment.

About the RoleAt Sigma Computing, we are revolutionizing the field of business intelligence by transforming complex data analysis into an easily accessible format through our high-performance platform designed for the modern data ecosystem. Our Compiler Team is integral to this vision, converting user-friendly spreadsheet actions into highly optimized SQL queries, thus facilitating seamless exploratory analytics on cloud data warehouses. As part of the Compiler Team, you'll collaborate with a dedicated group of engineers focused on developing the core systems and abstractions that empower Sigma's intuitive spreadsheet interface, ensuring speed, reliability, and scalability for all users.What You Will Be DoingAddress key challenges at the crossroads of data modeling, query compilation, and large-scale interactive analytics, enabling end-users to efficiently query data warehouses without requiring extensive technical expertise.Design, implement, and uphold sophisticated compiler infrastructure and intermediate representations that convert spreadsheet operations into optimized query plans.Utilize advanced optimization techniques to enhance performance and accuracy across diverse query workloads and data architectures.Contribute to both backend (using Rust) and critical frontend frameworks (using TypeScript), refining essential abstractions that facilitate end-to-end workflow optimizations and introduce new features.Diagnose, analyze, and resolve intricate issues, ensuring robustness and maintainability in a rapidly evolving product landscape.Partner with engineers and product stakeholders to review designs and code, championing technical best practices and architectural decisions throughout the team and organization.

P-931 At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging problems in the world—from revolutionizing transportation to fast-tracking medical innovations. We achieve this by developing and managing the foremost data and AI infrastructure platform, enabling our clients to leverage profound data insights to enhance their enterprises. Founded by engineers with a customer-centric approach, we seize every chance to resolve technical challenges, from crafting next-generation UI/UX for data interactions to scaling our services and infrastructure across millions of virtual machines. And we’re just getting started. Within Databricks, the Compute Infrastructure organization is responsible for building and operating the essential framework that supports all Data, AI, and stateful workloads across major cloud platforms. Our system launches tens of millions of VMs daily, manages thousands of Kubernetes clusters, and must deliver exceptional elasticity, reliability, and cost-effectiveness. We are in search of an Engineering Manager to lead a team focused on pivotal components of this platform. Your contributions will significantly impact product delivery speed, customer satisfaction, and our company's scalability. The impact you will have: Own and enhance the compute platform to support all Databricks workloads, enabling engineers to create top-tier products with high velocity and superior performance. Recruit exceptional engineers and nurture their development through guidance, feedback, and career advancement opportunities. Elevate the technical and operational standards through robust design practices, rigorous testing, and a culture of engineering excellence and platform thinking. Collaborate with engineering and product leadership to establish long-term strategies and roadmaps. Lead cross-functional initiatives encompassing both product and infrastructure domains. Influence architectural decisions that extend beyond your immediate team.

Perplexity seeks a Software Engineer in San Francisco to focus on computer monetization. This position involves developing and enhancing software that drives the company’s monetization strategies. Role overview This role centers on building and refining systems that support Perplexity’s revenue efforts. Projects in this area have a direct impact on the company’s growth within the technology sector. What you will do Develop software solutions that contribute to monetization goals Refine and improve existing systems to optimize revenue streams Work on projects that influence Perplexity’s expansion and success Location This position is based in San Francisco.

Join Pinterest as a Principal Engineer for our Compute Platform, where you'll play a crucial role in driving the architecture and implementation of scalable systems that power our services. You will lead a team of talented engineers, guiding them in building innovative solutions that enhance our platform's performance and reliability.In this position, you will have the opportunity to collaborate with cross-functional teams, mentor junior engineers, and contribute to the development of best practices and high-quality code. If you are passionate about technology and eager to make an impact, we would love to hear from you!

About EventualAt Eventual, we believe that every innovative AI application—from foundational models to self-driving vehicles—demands the ability to process vast amounts of images, video, and intricate data. Unfortunately, existing data platforms, such as Databricks and Snowflake, are designed for traditional spreadsheet-like analytics, not for the petabytes of multimodal data that truly drive AI advancements. This limitation leads teams to spend excessive time on fragile infrastructure, diverting them from essential research and product development.Founded in 2022, Eventual's mission is to revolutionize data querying, making it as intuitive as working with tables and robust enough to support production workloads. Our open-source engine, Daft, is specifically engineered for real-world AI systems. It effectively coordinates with external APIs, manages GPU clusters, and addresses failures that conventional engines cannot handle. Major companies like Amazon, Mobileye, Together AI, and CloudKitchens are already leveraging Daft for their critical workloads.Our team is composed of industry veterans from Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, Tesla, and beyond, and we've quadrupled our size within just a year. With Series A and seed funding from notable investors including Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, Array.vc, and prominent angel investors from the co-founders of Databricks and Perplexity, we are actively expanding our team. Join us—Eventual is only at the beginning of its journey.We are currently seeking passionate individuals to join our tight-knit team, who will work together in our San Francisco Mission district office four days a week.

Wispr Flow builds technology that makes device interaction feel natural and intuitive. The team’s work centers on voice dictation, aiming to make it more accurate and responsive than traditional keyboard input. The platform adapts to each user’s context, delivering reliable results whether on desktop or mobile. Looking ahead to 2026, Wispr Flow plans to move beyond voice dictation, developing new ways for users to take action through their devices. The goal is to create a system that not only understands intent but also responds with helpful, timely actions. Team and culture The company brings together AI researchers, designers, engineers, and growth specialists who share a commitment to reimagining how people interact with technology. Collaboration is open and direct, with a focus on transparency, user needs, and careful attention to detail. Team members value honest discussions and seek to make a measurable impact. Growth and backing Wispr Flow has achieved over 150% revenue growth each quarter for the past year. The company has raised $81 million from leading venture capital firms and respected angel investors, supporting its mission and future plans.

Join the San Francisco Museum of Modern Art (SFMOMA), one of the premier institutions for modern and contemporary art in the U.S. Our museum serves as a vital cultural hub for the Bay Area, where art inspires and connects communities. In a time when these connections are more important than ever, we are dedicated to our mission of inclusivity and artistic engagement.Inclusive: We pride ourselves on being a museum that amplifies diverse voices through dialogue.Passionate: For us, working with art transcends a mere job; it embodies a lifestyle filled with purpose.Brave: Our commitment to courage and adventure drives our exploration of new artistic perspectives.Empathic: We aspire to engage with individuals as people rather than as an institution.At SFMOMA, we invite the endlessly curious to explore, support, and appreciate the art of our time. We believe in the transformative power of modern and contemporary art, which shapes our worldview and embraces diverse perspectives. Our goal is to nurture an environment that fosters joy, belonging, and appreciation of individuality as a strength.Schedule: Full Time, 35 hours/week, Monday, June 15 - Friday, August 14, with a minimum of three days working onsite.Department Description:SFMOMA was among the first American museums to recognize photography as an art form. Our extensive collection spans from early daguerreotypes to contemporary digital works by innovative artists. With photography as a vital part of our identity since our inception in 1935, we honor the contributions of iconic Bay Area artists including Ansel Adams, Dorothea Lange, Edward Weston, and Imogen Cunningham.

At Rylo, we are revolutionizing the way video is captured and shared. Our innovative camera technology records stunning, immersive video effortlessly, eliminating the hassle of traditional filming and editing. Built by a talented team of former engineers from Instagram and Apple, our advanced stabilization software and intuitive smartphone app allow users to create beautiful videos without the stress of perfect framing or stability. Simply hit record and enjoy the magic of producing flawless video content after the fact.Watch Rylo in actionJoin us at Rylo and become part of a dynamic team focused on developing cutting-edge consumer camera technology. You will have a unique chance to drive software advancements and influence hardware design, paving the way for innovative computational photography solutions.

Join Rylo, an innovative camera company that captures stunning video effortlessly. Created by a team of former Instagram and Apple engineers, our cutting-edge stabilization software and user-friendly app make shooting, editing, and sharing videos a breeze. With Rylo, you can record without the stress of perfect framing, allowing you to create memorable videos with ease.Experience Rylo in actionAs an Algorithm Engineer, you will focus on developing core algorithms for the Rylo camera and upcoming products, enhancing both image quality and computational photography features. Your role will encompass the full lifecycle from algorithm design to deployment, ensuring high performance and quality.In our collaborative environment, you will work alongside software engineers, hardware engineers, and designers to expand the capabilities of consumer cameras. You will report directly to our CEO and co-founder, Alex Karpenko.

At Sift, we are revolutionizing the way cutting-edge machines are constructed, tested, and managed. Our innovative platform provides engineers with real-time visibility into high-frequency telemetry, effectively removing bottlenecks and facilitating quicker, more dependable development.Sift originated from our experience at SpaceX, contributing to projects like Dragon, Falcon, Starlink, and Starship, where the demands of scaling telemetry, debugging flight systems, and ensuring mission reliability necessitated a new kind of infrastructure. Founded by a talented team from SpaceX, Google, and Palantir, Sift is tailored for mission-critical systems where precision and scalability are imperative.As one of the pioneering engineers at Sift, your role will extend beyond just coding—you will play a crucial part in defining the architecture, shaping the product, and influencing the culture of a company dedicated to addressing real engineering challenges. If you're eager to take on intricate technical obstacles and build foundational systems that support complex machines from the ground up, we would love to connect with you.

About AnthropicAt Anthropic, we are dedicated to developing AI systems that are safe, interpretable, and controllable. Our mission is to ensure that technology benefits not only our users but society at large. Our rapidly expanding team consists of passionate researchers, engineers, policy experts, and business leaders collaborating to create beneficial AI systems.About the RoleAs a key member of Anthropic's Accelerator Capacity Engineering (ACE) team, you will contribute to the management of one of the industry’s largest and fastest-growing fleets of accelerators, encompassing various families and cloud environments. Your role will involve ensuring the optimal utilization and allocation of every chip within this fleet. You will be responsible for developing the data, tools, and operational systems that enable Anthropic to plan, measure, and enhance the usage of both first-party and third-party compute resources.In this position, you will create production systems that drive our operations, including data pipelines that gather and normalize telemetry from diverse cloud environments, observability tools for real-time fleet health insights, and performance metrics to assess the efficiency of major workloads on the hardware. You will be expected to produce high-quality production code daily, engage with Kubernetes-native infrastructure at scale, and have a direct impact on one of Anthropic's most significant expenditure areas.Your work will involve close collaboration with teams in research engineering, infrastructure, inference, and finance. We seek a versatile engineer who is comfortable transitioning between data engineering, systems engineering, and observability, thriving in a high-autonomy and high-ambiguity setting.What This Team OwnsThe ACE team operates across three primary functional areas. Depending on your expertise and interests, you may concentrate on one area, while also engaging with the others:Data Infrastructure: Building and maintaining the data pipelines that collect, normalize, and serve fleet-wide data. This includes ingesting occupancy and utilization telemetry from Kubernetes clusters, normalizing billing and usage data across various cloud providers, and managing the BigQuery layer utilized by the organization. Here, correctness, completeness, and latency are crucial.